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ORCID30th CIKM 2021: Virtual Event, Queensland, Australia
- Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9
Keynote Talks
- Leman Akoglu:
Anomaly Mining: Past, Present and Future. 1-2 - Mark Johnson:
The Primacy of Data in Deep Learning NLP for Conversational AI. 3 - Himabindu Lakkaraju:
Towards Reliable and Practicable Algorithmic Recourse. 4
Full Paper Track
- Qingyao Ai, Lakshmi Narayanan Ramasamy:
Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search. 5-15 - Mohammad Aliannejadi
, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. 16-26 - Yael Amsterdamer, Moran Cohen:
Automated Selection of Multiple Datasets for Extension by Integration. 27-36 - Aris Anagnostopoulos, Adriano Fazzone, Giacomo Vettraino:
Skyline in Crowdsourcing with Imprecise Comparisons. 37-46 - Héber Hwang Arcolezi, Jean-François Couchot, Bechara al Bouna, Xiaokui Xiao:
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy. 47-57 - Ali Selman Aydin, Yu-Jung Ko, Utku Uckun, I. V. Ramakrishnan, Vikas Ashok:
Non-Visual Accessibility Assessment of Videos. 58-67 - Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein:
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. 68-77 - Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. 78-88 - Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang', Johannes Hoffart:
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations. 89-99 - Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert:
Influence Maximization With Co-Existing Seeds. 100-109 - Hamed R. Bonab, Mohammad Aliannejadi, Ali Vardasbi, Evangelos Kanoulas, James Allan:
Cross-Market Product Recommendation. 110-119 - Ryma Boumazouza, Fahima Cheikh Alili, Bertrand Mazure, Karim Tabia:
ASTERYX: A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations. 120-129 - Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie:
Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. 130-139 - Surajit Chakrabarty, Rukma Talwadker, Tridib Mukherjee:
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior. 140-150 - Siddhesh Chaubal, Mateusz Rzepecki, Patrick K. Nicholson, Guangyuan Piao, Alessandra Sala:
Geometric Heuristics for Transfer Learning in Decision Trees. 151-160 - Cong Chen, Chaofan Tao, Ngai Wong:
LiteGT: Efficient and Lightweight Graph Transformers. 161-170 - Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma:
Incorporating Query Reformulating Behavior into Web Search Evaluation. 171-180 - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. 181-190 - Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. 191-200 - Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. 201-210 - Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison:
Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. 211-220 - Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. 221-230 - Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang:
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. 231-240 - Lizhi Cheng, Weijia Jia, Wenmian Yang:
An Effective Non-Autoregressive Model for Spoken Language Understanding. 241-250 - Jeongwhan Choi, Jinsung Jeon, Noseong Park:
LT-OCF: Learnable-Time ODE-based Collaborative Filtering. 251-260 - Zhumin Chu, Jiaxin Mao, Fan Zhang, Yiqun Liu, Tetsuya Sakai, Min Zhang, Shaoping Ma:
Evaluating Relevance Judgments with Pairwise Discriminative Power. 261-270 - Gianluca Cima, Federico Croce, Maurizio Lenzerini:
Query Definability and Its Approximations in Ontology-based Data Management. 271-280 - Danish Contractor, Krunal Shah, Aditi Partap, Parag Singla, Mausam:
Answering POI-recommendation Questions using Tourism Reviews. 281-291 - Yue Cui, Chen Zhu, Guanyu Ye, Ziwei Wang, Kai Zheng:
Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction. 292-301 - Enyan Dai, Suhang Wang:
Towards Self-Explainable Graph Neural Network. 302-311 - Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan:
Scaling Up Distance-generalized Core Decomposition. 312-321 - Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He:
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. 322-331 - Gianlorenzo D'Angelo, Mohammad Abouei Mehrizi:
Mitigating Negative Influence Diffusion is Hard. 332-341 - Songgaojun Deng, Huzefa Rangwala, Yue Ning:
Understanding Event Predictions via Contextualized Multilevel Feature Learning. 342-351 - Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. 352-361 - Daniel Deutch, Nave Frost, Amir Gilad, Oren Sheffer:
Explanations for Data Repair Through Shapley Values. 362-371 - Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He:
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. 372-381 - Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang:
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. 382-391 - Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. 392-401 - Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. 402-411 - Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu:
Query-Variant Advertisement Text Generation with Association Knowledge. 412-421 - Lorik Dumani, Tobias Wiesenfeldt, Ralf Schenkel:
Fine and Coarse Granular Argument Classification before Clustering. 422-432 - Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. 433-442 - Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang:
Large-scale Secure XGB for Vertical Federated Learning. 443-452 - Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han:
HyperGraph Convolution Based Attributed HyperGraph Clustering. 453-463 - Cheng Feng, Chaoliang Zhong, Jie Wang, Jun Sun, Yasuto Yokota:
CANN: Coupled Approximation Neural Network for Partial Domain Adaptation. 464-473 - Philip J. Feng, Pingjun Pan, Tingting Zhou, Hongxiang Chen, Chuanjiang Luo:
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems. 474-483 - Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. 484-493 - Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang:
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. 494-503 - Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Sekitoshi Kanai, Naonori Ueda:
Fast and Accurate Anchor Graph-based Label Prediction. 504-513 - Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning Meta-Trained Networks for On-Device Adaptation. 514-523 - Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu:
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. 524-533 - Zihan Gao, Jiepu Jiang:
Evaluating Human-AI Hybrid Conversational Systems with Chatbot Message Suggestions. 534-544 - Garima Gaur, Abhishek Dang, Arnab Bhattacharya, Srikanta Bedathur:
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs. 545-554 - Zhiqi Ge, Ximing Li:
To Be or not to Be, Tail Labels in Extreme Multi-label Learning. 555-564 - Daniel Glake, Norbert Ritter, Florian Ocker, Nima Ahmady-Moghaddam, Daniel Osterholz, Ulfia Lenfers, Thomas Clemen:
Hierarchical Semantics Matching For Heterogeneous Spatio-temporal Sources. 565-575 - Jiaying Gong, Hoda Eldardiry:
Zero-shot Relation Classification from Side Information. 576-585 - Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Driving the Herd: Search Engines as Content Influencers. 586-595 - Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov:
Mining Bursty Groups from Interaction Data. 596-605 - Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi:
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. 606-616 - Renchu Guan, Yonghao Liu, Xiaoyue Feng, Ximing Li:
VPALG: Paper-publication Prediction with Graph Neural Networks. 617-626 - Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah:
NED: Niche Detection in User Content Consumption Data. 627-637 - Jiale Han, Bo Cheng, Guoshun Nan:
Learning Discriminative and Unbiased Representations for Few-Shot Relation Extraction. 638-648 - Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao:
Multi-view Interaction Learning for Few-Shot Relation Classification. 649-658 - Shonosuke Harada, Hisashi Kashima:
GraphITE: Estimating Individual Effects of Graph-structured Treatments. 659-668 - Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Learning Multiple Intent Representations for Search Queries. 669-679 - Tobias Hatt, Stefan Feuerriegel:
Estimating Average Treatment Effects via Orthogonal Regularization. 680-689 - Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. 690-699 - Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. 700-709 - Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao:
What is Next when Sequential Prediction Meets Implicitly Hard Interaction? 710-719 - Zhihui Hu, Guang Kou, Haoyu Zhang, Na Li, Ke Yang, Lin Liu:
Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning. 720-729 - Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. 730-739 - Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. 740-749 - Shaoyuan Huang, Heng Zhang, Xiaofei Wang, Min Chen, Jianxin Li, Victor C. M. Leung:
Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era. 750-759 - Zhiqi Huang, Hamed R. Bonab, Sheikh Muhammad Sarwar, Razieh Rahimi, James Allan:
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval. 760-770 - Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. 771-781 - Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang:
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. 782-791 - Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
Complex Temporal Question Answering on Knowledge Graphs. 792-802 - Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi:
Contrastive Pre-Training of GNNs on Heterogeneous Graphs. 803-812 - Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. 813-822 - Weiyu Ju, Wei Bao, Liming Ge, Dong Yuan:
Dynamic Early Exit Scheduling for Deep Neural Network Inference through Contextual Bandits. 823-832 - Mahsa Keramati, Zahra Zohrevand, Uwe Glässer:
Norma: A Hybrid Feature Alignment for Class-Aware Unsupervised Domain Adaptation. 833-843 - Udayan Khurana, Sainyam Galhotra:
Semantic Concept Annotation for Tabular Data. 844-853 - Bosung Kim, Hyewon Choi, Haeun Yu, Youngjoong Ko:
Query Reformulation for Descriptive Queries of Jargon Words Using a Knowledge Graph based on a Dictionary. 854-862 - Yun-Yong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee, Sang-Wook Kim:
ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. 863-872 - Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang:
Fast Extraction of Word Embedding from Q-contexts. 873-882 - Gwanghan Lee, Minha Kim, Minha Kim, Simon S. Woo:
Efficient Multi-Scale Feature Generation Adaptive Network. 883-892 - David D. Lewis, Eugene Yang, Ophir Frieder:
Certifying One-Phase Technology-Assisted Reviews. 893-902 - Changchun Li, Ximing Li, Jihong Ouyang, Yiming Wang:
Detecting the Fake Candidate Instances: Ambiguous Label Learning with Generative Adversarial Networks. 903-912 - Dingwen Li, Patrick G. Lyons, Jeff Klaus, Brian F. Gage, Marin Kollef, Chenyang Lu:
Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems. 913-936 - Haoyang Li, Lei Chen:
Cache-based GNN System for Dynamic Graphs. 937-946 - Maocheng Li, Jiachuan Wang, Libin Zheng, Han Wu, Peng Cheng, Lei Chen, Xuemin Lin:
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server. 947-956 - Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng:
Block Access Pattern Discovery via Compressed Full Tensor Transformer. 957-966 - Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. 967-977 - Yi Li, Yan Song, Qin Zhang:
Learning to Cluster via Same-Cluster Queries. 978-987 - Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. 988-997 - Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. 998-1007 - Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. 1008-1017 - Haowen Lin, Jinlong Li, Xu Zhang, Huanhuan Chen:
Grammatical Error Correction with Dependency Distance. 1018-1027 - Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. 1028-1037 - Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, Junpeng Ye:
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering. 1038-1047 - Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu:
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. 1048-1057 - Huanyu Liu, Ruifang He, Liangliang Zhao, Haocheng Wang, Ruifang Wang:
SCMGR: Using Social Context and Multi-Granularity Relations for Unsupervised Social Summarization. 1058-1068 - Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. 1069-1078 - Yi Liu, Bohan Li, Yalei Zang, Aoran Li, Hongzhi Yin:
A Knowledge-Aware Recommender with Attention-Enhanced Dynamic Convolutional Network. 1079-1088 - Yiyang Liu, Hua Dai, Bohan Li, Jiawei Li, Geng Yang, Jun Wang:
ECMA: An Efficient Convoy Mining Algorithm for Moving Objects. 1089-1098 - Yiyu Liu, Qian Liu, Yu Tian, Changping Wang, Yanan Niu, Yang Song, Chenliang Li:
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation. 1099-1108 - Yue Liu, Xin Wang, Xue Xu, Jianbo Yang, Wenwu Zhu:
Meta Hyperparameter Optimization with Adversarial Proxy Subsets Sampling. 1109-1118 - Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. 1119-1129 - Zhao Liu, Chang Lu, Ghadah Alghamdi, Renate A. Schmidt, Yizheng Zhao:
Tracking Semantic Evolutionary Changes in Large-Scale Ontological Knowledge Bases. 1130-1139 - Zhihong Liu, Huiyu Li, Ruixin Li, Yong Zeng, Jianfeng Ma:
Graph Embedding Based on Euclidean Distance Matrix and its Applications. 1140-1149 - Amit Livne, Roy Dor, Bracha Shapira, Lior Rokach:
BNN: Boosting Neural Network Framework Utilizing Limited Amount of Data. 1150-1159 - Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. 1160-1169 - Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. 1170-1180 - Changsheng Ma, Xiangliang Zhang:
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. 1181-1190 - Xiaojun Ma, Hanyue Chen, Guojie Song:
LEReg: Empower Graph Neural Networks with Local Energy Regularization. 1191-1201 - Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. 1202-1211 - Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. 1212-1221 - Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu, Dhananjay Raut, Shraiysh Vaishay, Vishwa Vinay:
Generating Compositional Color Representations from Text. 1222-1231 - Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. 1232-1242 - Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. 1243-1252 - Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He:
UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. 1253-1262 - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness. 1263-1273 - Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka:
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. 1274-1283 - Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. 1284-1293 - Rahul Mishra, Shuo Zhang:
POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence. 1294-1303 - Moran Mizrahi, Dafna Shahaf:
50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts. 1304-1314 - Dingheng Mo, Siqiang Luo:
Agenda: Robust Personalized PageRanks in Evolving Graphs. 1315-1324 - Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. 1325-1334 - Josiane Mothe, Md. Zia Ullah:
Defining an Optimal Configuration Set for Selective Search Strategy - A Risk-Sensitive Approach. 1335-1345 - Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. 1346-1355 - Preksha Nema, Alexandros Karatzoglou, Filip Radlinski:
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. 1356-1365 - Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen:
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. 1366-1375 - Masahiro Nomura, Yuta Saito:
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift. 1376-1385 - Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. 1386-1395 - Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. 1396-1405 - Prathyush S. Parvatharaju, Ramesh Doddaiah, Thomas Hartvigsen, Elke A. Rundensteiner:
Learning Saliency Maps to Explain Deep Time Series Classifiers. 1406-1415 - Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li:
Differentially Private Federated Knowledge Graphs Embedding. 1416-1425 - Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Panagiotis Karras:
Sparse Shield: Social Network Immunization vs. Harmful Speech. 1426-1436 - Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan:
MentalSpot: Effective Early Screening for Depression Based on Social Contagion. 1437-1446 - Paul J. Pritz, Liang Ma, Kin K. Leung:
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning. 1447-1456 - Panpan Qi, Wei Wang, Lei Zhu, See-Kiong Ng:
Unsupervised Domain Adaptation for Static Malware Detection based on Gradient Boosting Trees. 1457-1466 - Hongjin Qian, Zhicheng Dou, Yutao Zhu, Yueyuan Ma, Ji-Rong Wen:
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. 1467-1477 - Zi-Hao Qiu, Ying-Chun Jian, Qing-Guo Chen, Lijun Zhang:
Learning to Augment Imbalanced Data for Re-ranking Models. 1478-1487 - Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork:
Natural Language Understanding with Privacy-Preserving BERT. 1488-1497 - Jiaming Qu, Jaime Arguello, Yue Wang:
A Study of Explainability Features to Scrutinize Faceted Filtering Results. 1498-1507 - Francesco Ranzato, Caterina Urban, Marco Zanella:
Fairness-Aware Training of Decision Trees by Abstract Interpretation. 1508-1517 - Muhammad Shihab Rashid, Fuad T. Jamour, Vagelis Hristidis:
QuAX: Mining the Web for High-utility FAQ. 1518-1527 - Masoud Reyhani Hamedani, Sang-Wook Kim:
AdaSim: A Recursive Similarity Measure in Graphs. 1528-1537 - Martin Ringsquandl, Houssem Sellami, Marcel Hildebrandt, Dagmar Beyer, Sylwia Henselmeyer, Sebastian Weber, Mitchell Joblin:
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids. 1538-1547 - Mahdin Rohmatillah, Jen-Tzung Chien:
Corrective Guidance and Learning for Dialogue Management. 1548-1557 - Benedek Rozemberczki, Rik Sarkar:
The Shapley Value of Classifiers in Ensemble Games. 1558-1567 - Ilie Sarpe, Fabio Vandin:
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks. 1568-1577 - Patrick Schäfer, Arik Ermshaus, Ulf Leser:
ClaSP - Time Series Segmentation. 1578-1587 - Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li:
One-shot Transfer Learning for Population Mapping. 1588-1597 - Lei Shen, Haolan Zhan, Xin Shen, Hongshen Chen, Xiaofang Zhao, Xiaodan Zhu:
Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization. 1598-1608 - Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. 1609-1618 - Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li:
How Powerful is Graph Convolution for Recommendation? 1619-1629 - Yuxin Shen, Zhao Li, Xin Wang, Jianxin Li, Xiaowang Zhang:
DataType-Aware Knowledge Graph Representation Learning in Hyperbolic Space. 1630-1639 - Qiang Sheng, Xueyao Zhang, Juan Cao, Lei Zhong:
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning. 1640-1650 - Shaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang, Kun Fang, Jingfang Xu, Yiqun Liu, Shaoping Ma:
WG4Rec: Modeling Textual Content with Word Graph for News Recommendation. 1651-1660 - Si Shi, Jianjun Li, Guohui Li, Peng Pan, Ke Liu:
XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management. 1661-1670 - Lin Shu, Erxin Du, Yaomin Chang, Chuan Chen, Zibin Zheng, Xingxing Xing, Shaofeng Shen:
SGCL: Contrastive Representation Learning for Signed Graphs. 1671-1680 - Yaman Kumar Singla, Avyakt Gupta, Shaurya Bagga, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring. 1681-1691 - Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking. 1692-1702 - Chengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan:
Metric Sentiment Learning for Label Representation. 1703-1712 - Jiayu Song, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Chengfei Liu:
CBML: A Cluster-based Meta-learning Model for Session-based Recommendation. 1713-1722 - Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King:
Semi-supervised Multi-label Learning for Graph-structured Data. 1723-1733 - Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang, Kai Zheng:
PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. 1734-1743 - Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara:
Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. 1744-1753 - Xin Sun, Xin Huang, Zitan Sun, Di Jin:
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach. 1754-1763 - Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty:
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. 1764-1773 - Anika Tabassum, Supriya Chinthavali, Varisara Tansakul, B. Aditya Prakash:
Actionable Insights in Urban Multivariate Time-series. 1774-1783 - Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. 1784-1793 - Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. 1794-1803 - Ya-Wen Teng, Hsi-Wen Chen, De-Nian Yang, Yvonne-Anne Pignolet, Ting-Wei Li, Lydia Yiyu Chen:
On Influencing the Influential: Disparity Seeding. 1804-1813 - Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong:
Self-supervised Representation Learning on Dynamic Graphs. 1814-1823 - Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla:
Recipe Representation Learning with Networks. 1824-1833 - Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. 1834-1843 - Ajim Uddin, Xinyuan Tao, Dantong Yu:
Attention Based Dynamic Graph Learning Framework for Asset Pricing. 1844-1853 - Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank. 1869-1878 - Baolai Wang, Shaojing Fu, Xuyun Zhang, Tao Xie, Lingjuan Lyu, Yuchuan Luo:
Reliable and Privacy-Preserving Task Matching in Blockchain-Based Crowdsourcing. 1879-1888 - Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu:
Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. 1889-1898 - Hao Wang, Cheng Yang, Chuan Shi:
Neural Information Diffusion Prediction with Topic-Aware Attention Network. 1899-1908 - Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. 1909-1918 - Hu Wang, Hui Li, Meng Wang, Jiangtao Cui:
Addressing the Hardness of k-Facility Relocation Problem: A Pair of Approximate Solutions. 1919-1928 - Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang:
Fast k-NN Graph Construction by GPU based NN-Descent. 1929-1938 - Jianhua Wang, Jianye Yang, Wenjie Zhang:
Top-k Tree Similarity Join. 1939-1948 - Jingkun Wang, Yipu Chen, Zichun Wang, Wen Zhao:
Popularity-Enhanced News Recommendation with Multi-View Interest Representation. 1949-1958 - Li Wang, Peipei Li, Kai Xiong, Jiashu Zhao, Rui Lin:
Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism. 1959-1968 - Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. 1969-1978 - Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li:
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. 1979-1988 - Weichao Wang, Wei Gao, Shi Feng, Ling Chen, Daling Wang:
Adaptive Posterior Knowledge Selection for Improving Knowledge-Grounded Dialogue Generation. 1989-1998 - Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu:
Improving Chinese Character Representation with Formation Graph Attention Network. 1999-2009 - Xinping Wang, Caidie Huang, Jinfang Cai, Liangyu Chen:
Using Knowledge Concept Aggregation towards Accurate Cognitive Diagnosis. 2010-2019 - Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li:
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. 2020-2029 - Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao:
The Skyline of Counterfactual Explanations for Machine Learning Decision Models. 2030-2039 - Yu Wang, Tyler Derr:
Tree Decomposed Graph Neural Network. 2040-2049 - Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding:
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. 2050-2059 - Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki:
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. 2060-2069 - Ziwei Wang, Yan Zhao, Xuanhao Chen, Kai Zheng:
Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing. 2070-2079 - Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang:
Region Semantically Aligned Network for Zero-Shot Learning. 2080-2090 - Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He:
Pooling Architecture Search for Graph Classification. 2091-2100 - Zhikun Wei, Xin Wang, Wenwu Zhu:
AutoIAS: Automatic Integrated Architecture Searcher for Click-Trough Rate Prediction. 2101-2110 - Tobias Weller, Maribel Acosta:
Predicting Instance Type Assertions in Knowledge Graphs Using Stochastic Neural Networks. 2111-2118 - Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. 2119-2128 - Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li:
Clustering of Conversational Bandits for User Preference Learning and Elicitation. 2129-2139 - Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. 2140-2149 - Libing Wu, Min Wang, Dan Wu, Jia Wu:
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. 2150-2159 - Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen:
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. 2160-2169 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Incremental Graph Convolutional Network for Collaborative Filtering. 2170-2179 - Xin Xia, Hongzhi Yin, Junliang Yu, Yingxia Shao, Lizhen Cui:
Self-Supervised Graph Co-Training for Session-based Recommendation. 2180-2190 - Yikuan Xia, Jun Gao, Bin Cui:
iMap: Incremental Node Mapping between Large Graphs Using GNN. 2191-2200 - Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. 2201-2210 - Chenhao Xie, Wenhao Huang, Jiaqing Liang, Chengsong Huang, Yanghua Xiao:
WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model. 2211-2220 - Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. 2221-2230 - Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. 2231-2240 - Hui Xu, Liyao Xiang, Jiahao Yu, Anqi Cao, Xinbing Wang:
Speedup Robust Graph Structure Learning with Low-Rank Information. 2241-2250 - Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng:
Expanding Relationship for Cross Domain Recommendation. 2251-2260 - Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu:
Topic-aware Heterogeneous Graph Neural Network for Link Prediction. 2261-2270 - Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su:
PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. 2271-2280 - Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao:
Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. 2281-2290 - Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song:
Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising. 2291-2300 - Han Yang, Leilei Zhang, Bingning Wang, Ting Yao, Junfei Liu:
Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? 2301-2310 - Han Yang, Junfei Liu:
Knowledge Graph Representation Learning as Groupoid: Unifying TransE, RotatE, QuatE, ComplEx. 2311-2320 - Huanhuan Yang, Dianxi Shi, Chenran Zhao, Guojun Xie, Shaowu Yang:
CIExplore: Curiosity and Influence-based Exploration in Multi-Agent Cooperative Scenarios with Sparse Rewards. 2321-2330 - Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu:
Entity and Relation Matching Consensus for Entity Alignment. 2331-2341 - Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang:
Top-N Recommendation with Counterfactual User Preference Simulation. 2342-2351 - Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. 2352-2362 - Zhong Yang, Bolong Zheng, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li:
HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data. 2363-2372 - Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen:
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. 2373-2382 - Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong:
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. 2383-2393 - Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely:
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. 2394-2403 - Guanyu Ye, Yan Zhao, Xuanhao Chen, Kai Zheng:
Task Allocation with Geographic Partition in Spatial Crowdsourcing. 2404-2413 - Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. 2414-2423 - Jingyi You, Chenlong Hu, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura:
Robust Dynamic Clustering for Temporal Networks. 2424-2433 - Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang:
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. 2434-2443 - Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li:
Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. 2444-2454 - Tan Yu, Ping Li:
Multiple Exemplars Learning for Fast Image Retrieval. 2455-2465 - Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang:
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. 2466-2476 - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan:
Reinforced Active Entity Alignment. 2477-2486 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. 2487-2496 - Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong:
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. 2497-2506 - Delvin Ce Zhang, Hady W. Lauw:
Topic Modeling for Multi-Aspect Listwise Comparisons. 2507-2516 - Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang:
Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. 2517-2526 - Haoxiang Zhang, Aécio S. R. Santos, Juliana Freire:
DSDD: Domain-Specific Dataset Discovery on the Web. 2527-2536 - Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye:
RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. 2537-2546 - Jiuling Zhang, Zhiming Ding:
Delve into the Performance Degradation of Differentiable Architecture Search. 2547-2556 - Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin:
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. 2557-2567 - Mingwei Zhang, Yang Yang, Rizwan Abbas, Ke Deng, Jianxin Li, Bin Zhang:
SNPR: A Serendipity-Oriented Next POI Recommendation Model. 2568-2577 - Mingxi Zhang, Xifeng Yan, Wei Wang:
Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph. 2578-2587 - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin:
Multi-Factors Aware Dual-Attentional Knowledge Tracing. 2588-2597 - Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang:
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. 2598-2607 - Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. 2608-2617 - Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang:
Adversarial Separation Network for Cross-Network Node Classification. 2618-2626 - Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu:
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. 2627-2636 - Yufeng Zhang, Weiqing Wang, Wei Chen, Jiajie Xu, An Liu, Lei Zhao:
Meta-Learning Based Hyper-Relation Feature Modeling for Out-of-Knowledge-Base Embedding. 2637-2646 - Yuting Zhang, Kai Wang, Wenjie Zhang, Xuemin Lin, Ying Zhang:
Pareto-optimal Community Search on Large Bipartite Graphs. 2647-2656 - Zuobai Zhang, Zhongzhi Zhang, Guanrong Chen:
Minimizing Spectral Radius of Non-Backtracking Matrix by Edge Removal. 2657-2667 - Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang:
Action Sequence Augmentation for Early Graph-based Anomaly Detection. 2668-2678 - Wan-Lei Zhao, Shi-Ying Lan, Run-Qing Chen, Chong-Wah Ngo:
k-sums Clustering: A Stochastic Optimization Approach. 2679-2687 - Shangfei Zheng, Wei Chen, Pengpeng Zhao, An Liu, Junhua Fang, Lei Zhao:
When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations. 2688-2697 - Weiguo Zheng, Mei Zhang:
Automated Query Graph Generation for Querying Knowledge Graphs. 2698-2707 - Wendong Zheng, Putian Zhao, Kai Huang, Gang Chen:
Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism. 2708-2717 - Dongming Zhou, Jing Yang:
Relation Network and Causal Reasoning for Image Captioning. 2718-2727 - Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. 2728-2737 - Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. 2738-2748 - Yujia Zhou, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling. 2749-2758 - Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He:
Open Benchmarking for Click-Through Rate Prediction. 2759-2769 - Tianyu Zhu, Wen Hua, Jianfeng Qu, Xiaofang Zhou:
Summarizing Long-Form Document with Rich Discourse Information. 2770-2779 - Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang:
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. 2780-2791
Short Paper Track
- Saima Absar, Lu Zhang:
Discovering Time-invariant Causal Structure from Temporal Data. 2807-2811 - Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya:
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality. 2812-2816 - Yash Agrawal, Vivek Anand, Manish Gupta, S. Arunachalam, Vasudeva Varma:
Goal-Directed Extractive Summarization of Financial Reports. 2817-2821 - Dawon Ahn, Seyun Kim, U Kang:
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values. 2822-2826 - Seong-Jin Ahn, Myoung Ho Kim:
Variational Graph Normalized AutoEncoders. 2827-2831 - Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates:
Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. 2832-2836 - Mira Ait Saada, François Role, Mohamed Nadif:
How to Leverage a Multi-layered Transformer Language Model for Text Clustering: an Ensemble Approach. 2837-2841 - Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Scalable Contrast Pattern Mining over Data Streams. 2842-2846 - Faisal M. Almutairi, Nicholas D. Sidiropoulos, Bo Yang:
XPL-CF: Explainable Embeddings for Feature-based Collaborative Filtering. 2847-2851 - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders. 2852-2856 - Negar Arabzadeh, Maryam Khodabakhsh, Ebrahim Bagheri:
BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction. 2857-2861 - Negar Arabzadeh, Xinyi Yan, Charles L. A. Clarke:
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection. 2862-2866 - Mozhdeh Ariannezhad, Sami Jullien, Pim Nauts, Min Fang, Sebastian Schelter, Maarten de Rijke:
Understanding Multi-channel Customer Behavior in Retail. 2867-2871 - Jianghan Bao, Yu Zhang:
Time-Aware Recommender System via Continuous-Time Modeling. 2872-2876 - Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein:
Anchor-based Collaborative Filtering. 2877-2881 - Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein:
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. 2882-2887 - Qiwei Bi, Haoyuan Li, Hanfang Yang:
Boosting Few-shot Abstractive Summarization with Auxiliary Tasks. 2888-2893 - Alexander Bondarenko, Ekaterina Shirshakova, Marina Driker, Matthias Hagen, Pavel Braslavski:
Misbeliefs and Biases in Health-Related Searches. 2894-2899 - Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi:
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. 2900-2904 - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network with Fast Eigen-approximation. 2905-2909 - Wei Chang, Feiping Nie, Rong Wang, Xuelong Li:
New Tight Relaxations of Rank Minimization for Multi-Task Learning. 2910-2914 - Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen:
Constructing Noise Free Economic Policy Uncertainty Index. 2915-2919 - Chung-Chi Chen, Hen-Hsen Huang, Yu-Lieh Huang, Hsin-Hsi Chen:
Distilling Numeral Information for Volatility Forecasting. 2920-2924 - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
NQuAD: 70, 000+ Questions for Machine Comprehension of the Numerals in Text. 2925-2929 - John Chen, Qihan Wang, Anastasios Kyrillidis:
Mitigating Deep Double Descent by Concatenating Inputs. 2930-2934 - Lingwei Chen, Yujie Fan, Yanfang Ye:
Adversarial Reprogramming of Pretrained Neural Networks for Fraud Detection. 2935-2939 - Xuanying Chen, Zhining Liu, Li Yu, Sen Li, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu:
Adversarial Learning for Incentive Optimization in Mobile Payment Marketing. 2940-2944 - Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison:
MGNETS: Multi-Graph Neural Networks for Table Search. 2945-2949 - Hyewon Choi, Youngjoong Ko:
Using Topic Modeling and Adversarial Neural Networks for Fake News Video Detection. 2950-2954 - Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi:
Variational Cross-Network Embedding for Anonymized User Identity Linkage. 2955-2959 - Qiang Cui, Chenrui Zhang, Yafeng Zhang, Jinpeng Wang, Mingchen Cai:
ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation. 2960-2964 - Yue Cui, Jiandong Xie, Kai Zheng:
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting. 2965-2969 - Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass:
Does Adversarial Oversampling Help us? 2970-2973 - Marco Del Tredici, Gianni Barlacchi, Xiaoyu Shen, Weiwei Cheng, Adrià de Gispert:
Question Rewriting for Open-Domain Conversational QA: Best Practices and Limitations. 2974-2978 - Kaize Ding, Xuan Shan, Huan Liu:
Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning. 2979-2983 - Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. 2984-2988 - Erick Draayer, Huiping Cao, Yifan Hao:
Reevaluating the Change Point Detection Problem with Segment-based Bayesian Online Detection. 2989-2993 - Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. 2994-2998 - Wei Du, Xintao Wu:
Fair and Robust Classification Under Sample Selection Bias. 2999-3003 - Vasilis Efthymiou, Kostas Stefanidis, Evaggelia Pitoura, Vassilis Christophides:
FairER: Entity Resolution With Fairness Constraints. 3004-3008 - Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri:
Collaborative Experts Discovery in Social Coding Platforms. 3009-3013 - Michael Färber, Ann-Kathrin Leisinger:
Recommending Datasets for Scientific Problem Descriptions. 3014-3018 - Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. 3019-3023 - Siddhant Garg, Goutham Ramakrishnan, Varun Thumbe:
Towards Robustness to Label Noise in Text Classification via Noise Modeling. 3024-3028 - Nikos Giatrakos, Eleni Kougioumtzi, Antonios Kontaxakis, Antonios Deligiannakis, Yannis Kotidis:
EasyFlinkCEP: Big Event Data Analytics for Everyone. 3029-3033 - Yantao Gong, Cao Liu, Jiazhen Yuan, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Ruiyao Niu, Houfeng Wang:
Density-Based Dynamic Curriculum Learning for Intent Detection. 3034-3037 - Kalpa Gunaratna, Vijay Srinivasan, Sandeep Nama, Hongxia Jin:
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones. 3038-3042 - Chitrank Gupta, Yash Jain, Abir De, Soumen Chakrabarti:
Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. 3043-3047 - Priyanka Gupta, Ankit Sharma, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
CauSeR: Causal Session-based Recommendations for Handling Popularity Bias. 3048-3052 - Vinayak Gupta, Srikanta Bedathur:
Region Invariant Normalizing Flows for Mobility Transfer. 3053-3057 - Hojae Han, Seungtaek Choi, Myeongho Jeong, Jin-Woo Park, Seung-won Hwang:
Counterfactual Generative Smoothing for Imbalanced Natural Language Classification. 3058-3062 - Soyeon Caren Han, Taejun Lim, Siqu Long, Bernd Burgstaller, Josiah Poon:
GLocal-K: Global and Local Kernels for Recommender Systems. 3063-3067 - Xiao Han, Shuhan Yuan:
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. 3068-3072 - Md. Kamrul Hasan, Mohammad Mahdavi:
Automatic Error Correction Using the Wikipedia Page Revision History. 3073-3077 - Arezoo Hatefi, Xuan-Son Vu, Monowar H. Bhuyan, Frank Drewes:
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling. 3078-3082 - Magnus Haxen, Morten Raeburn, Peyman Afshani, Panagiotis Karras:
Centerpoint Query Authentication. 3083-3087 - Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. 3088-3092 - Chuyin Huang, Weiyang Kong, Genan Dai, Yubao Liu:
LTPHM: Long-term Traffic Prediction based on Hybrid Model. 3093-3097 - Ruoran Huang, Chuanqi Han, Li Cui:
Entity-aware Collaborative Relation Network with Knowledge Graph for Recommendation. 3098-3102 - Aaron Hui, Byron J. Gao:
When is Nearest Neighbor Meaningful: Sequential Data. 3103-3106 - Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato:
The Effect of News Article Quality on Ad Consumption. 3107-3111 - Zijing Ji, Xin Wang, Yuxin Shen, Guozheng Rao:
CANCN-BERT: A Joint Pre-Trained Language Model for Classical and Modern Chinese. 3112-3116 - Bingbing Jiang, Junhao Xiang, Xingyu Wu, Wenda He, Libin Hong, Weiguo Sheng:
Robust Adaptive-weighting Multi-view Classification. 3117-3121 - Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. 3122-3126 - Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung:
RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. 3127-3131 - Anoop R. Katti, Kai Hui, Adrià de Gispert, Hagen Fürstenau:
Question Answering using Web Lists. 3132-3136 - Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim:
CoSEM: Contextual and Semantic Embedding for App Usage Prediction. 3137-3141 - Meoungjun Kim, Youngjoong Ko:
Self-supervised Fine-tuning for Efficient Passage Re-ranking. 3142-3146 - Youngwoo Kim, Razieh Rahimi, Hamed R. Bonab, James Allan:
Query-driven Segment Selection for Ranking Long Documents. 3147-3151 - Toon Koppelaars, Xavier Oriol, Ernest Teniente, Sergi Curto, Eduard Pujol:
UQJG: Identifying Transactions that Collaborate to Violate an SQL Assertion. 3152-3156 - Ivan Kropotov, Alan Medlar, Dorota Glowacka:
Exploratory Search of GANs with Contextual Bandits. 3157-3161 - Yuki Kurauchi, Yoshiaki Takimoto, Shuhei Yamamoto, Shunichi Seko, Hiroyuki Toda:
Asterisk-Shaped Features for Tabular Data. 3162-3165 - Alexander Frederiksen Kyster, Simon Daugaard Nielsen, Judith Hermanns, Davide Mottin, Panagiotis Karras:
Boosting Graph Alignment Algorithms. 3166-3170 - Darong Lai, Zheyi Liu, Junyao Huang, Zhihong Chong, Weiwei Wu, Christine Nardini:
Attention Based Subgraph Classification for Link Prediction by Network Re-weighting. 3171-3175 - Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang:
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. 3176-3180 - Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheon-Eum Park, Kyomin Jung:
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. 3181-3185 - Youngjune Lee, Kee-Eung Kim:
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System. 3186-3190 - Yu Lei, Jing Zhang:
Capsule Graph Neural Networks with EM Routing. 3191-3195 - Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu:
Hubness-aware User Identity Linkage. 3196-3200 - Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. 3201-3205 - Dongyue Li, Tao Yang, Lun Du, Zhezhi He, Li Jiang:
AdaptiveGCN: Efficient GCN Through Adaptively Sparsifying Graphs. 3206-3210 - Lin Li, Ming Li, Zichen Zan, Qing Xie, Jianquan Liu:
Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images. 3211-3215 - Mingyang Li, Shao-Lun Huang, Lin Zhang:
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. 3216-3220 - Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty:
Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. 3221-3226 - Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq R. Joty:
Span-level Emotion Cause Analysis with Neural Sequence Tagging. 3227-3231 - Yinxiao Li, T. Jennings Anderson, Yiqi Niu:
Vandalism Detection in OpenStreetMap via User Embeddings. 3232-3236 - Yunhe Li, Yaochen Hu, Yingxue Zhang:
Graph Representation Learning via Adversarial Variational Bayes. 3237-3241 - Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Min Yang, Xiaoqi Yu, Ruifeng Xu:
Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. 3242-3247 - Chung-Yi Lin, Hung-Ting Su, Shen-Lung Tung, Winston H. Hsu:
Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic. 3248-3252 - Xuming Lin, Shaobo Cui, Zhongzhou Zhao, Wei Zhou, Ji Zhang, Haiqing Chen:
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation. 3253-3257 - Jiqun Liu, Ran Yu:
State-Aware Meta-Evaluation of Evaluation Metrics in Interactive Information Retrieval. 3258-3262 - Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. 3263-3267 - Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wang, Xuanjing Huang:
Fine-Grained Element Identification in Complaint Text of Internet Fraud. 3268-3272 - Yaguang Liu, Lisa Singh:
Age Inference Using A Hierarchical Attention Neural Network. 3273-3277 - Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou:
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. 3278-3282 - Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao:
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. 3283-3287 - Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang:
Operation Diagnosis on Procedure Graph: The Task and Dataset. 3288-3292 - Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan:
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. 3293-3297 - Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo:
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. 3298-3302 - Ziyang Luo, Yadong Xi, Xiaoxi Mao:
Smoothing with Fake Label. 3303-3307 - Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li:
Learning Sparse Binary Code for Maximum Inner Product Search. 3308-3312 - Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. 3313-3317 - Craig Macdonald, Nicola Tonellotto:
On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. 3318-3322 - Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin:
GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction. 3323-3327 - Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. 3328-3332 - Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi:
On Skipping Behaviour Types in Music Streaming Sessions. 3333-3337 - Ishani Mondal, Procheta Sen, Debasis Ganguly:
Multi-objective Few-shot Learning for Fair Classification. 3338-3342 - Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li:
MDFEND: Multi-domain Fake News Detection. 3343-3347 - Levin Noronha, Fei Chiang:
Discovery of Temporal Graph Functional Dependencies. 3348-3352 - Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang:
Lightweight Visual Question Answering using Scene Graphs. 3353-3357 - Ji-Young Park, Lin Liu, Jiuyong Li, Jixue Liu:
Training Neural Networks with Random Noise Images for Adversarial Robustness. 3358-3362 - Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer, W. Bruce Croft:
Evaluating Fairness in Argument Retrieval. 3363-3367 - Luca Piras, Ludovico Boratto, Guilherme Ramos:
Evaluating the Prediction Bias Induced by Label Imbalance in Multi-label Classification. 3368-3372 - Yi Qi, Ke Hu, Bo Zhang, Jia Cheng, Jun Lei:
Trilateral Spatiotemporal Attention Network for User Behavior Modeling in Location-based Search. 3373-3377 - Guilherme Ramos, Ludovico Boratto, Mirko Marras:
Reputation Equity in Ranking Systems. 3378-3382 - Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang:
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. 3383-3387 - Praveen Rao, Arun Zachariah, Deepthi S. Rao, Peter J. Tonellato, Wesley C. Warren, Eduardo J. Simões:
Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. 3388-3392 - Feiliang Ren, Longhui Zhang, Shujuan Yin, Xiaofeng Zhao, Shilei Liu, Bochao Li:
A Conditional Cascade Model for Relational Triple Extraction. 3393-3397 - Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly:
Knowledge-Aware Neural Networks for Medical Forum Question Classification. 3398-3402 - Maciej Rybinski, Sarvnaz Karimi:
Will Sorafenib Help?: Treatment-aware Reranking in Precision Medicine Search. 3403-3407 - Sarina Sajadi Ghaemmaghami, Amirali Salehi-Abari:
DeepGroup: Group Recommendation with Implicit Feedback. 3408-3412 - Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. 3413-3417 - Manjira Sinha, Tirthankar Dasgupta:
Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network. 3418-3422 - Manjira Sinha, Tirthankar Dasgupta:
Predicting Success of a Persuasion through Joint Modeling of Utterance Categorization. 3423-3427 - Dongcheol Son, Youngjoong Ko:
Self-Supervised Learning based on Sentiment Analysis with Word Weight Calculation. 3428-3432 - Maithrreye Srinivasan, Davood Rafiei:
Location-Aware Named Entity Disambiguation. 3433-3438 - Hongyang Su, Xiaolong Wang, Yang Qin:
AGCNT: Adaptive Graph Convolutional Network for Transformer-based Long Sequence Time-Series Forecasting. 3439-3442 - Jie Tang, Yiling Wu, Minglei Li, Zhu Wang:
Talking Face Generation Based on Information Bottleneck and Complementary Representations. 3443-3447 - Tokala Yaswanth Sri Sai Santosh, Nikhil Reddy Varimalla, Anoop Vallabhajosyula, Debarshi Kumar Sanyal, Partha Pratim Das:
HiCoVA: Hierarchical Conditional Variational Autoencoder for Keyphrase Generation. 3448-3452 - Nicola Tonellotto, Craig Macdonald:
Query Embedding Pruning for Dense Retrieval. 3453-3457 - Guanyu Wang, Ting Zhong, Xovee Xu, Kunpeng Zhang, Fan Zhou, Yong Wang:
Vector-Quantized Autoencoder With Copula for Collaborative Filtering. 3458-3462 - Jiaan Wang, Zhixu Li, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu:
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary. 3463-3467 - Jian Wang, Wenjie Li:
Template-guided Clarifying Question Generation for Web Search Clarification. 3468-3472 - Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, Soroush Vosoughi:
Embedding Node Structural Role Identity Using Stress Majorization. 3473-3477 - Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. 3478-3482 - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. 3483-3487 - Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. 3488-3492 - Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao:
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. 3493-3497 - Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. 3498-3502 - Shuai Wang, Wenji Mao:
Modeling Inter-Claim Interactions for Verifying Multiple Claims. 3503-3507 - Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. 3508-3512 - Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. 3513-3517 - Yuening Wang, Yingxue Zhang, Mark Coates:
Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. 3518-3522 - Zhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren:
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. 3523-3527 - Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng:
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. 3528-3532 - Tobias Weller, Heiko Paulheim:
Evidential Relational-Graph Convolutional Networks for Entity Classification in Knowledge Graphs. 3533-3537 - Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu:
Structural Deep Incomplete Multi-view Clustering Network. 3538-3542 - Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng:
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. 3543-3547 - Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li:
Fairness-Aware Unsupervised Feature Selection. 3548-3552 - Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. 3553-3557 - Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. 3558-3562 - Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Binary Code based Hash Embedding for Web-scale Applications. 3563-3567 - Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng:
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. 3568-3572 - Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. 3573-3577 - Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang:
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. 3578-3582 - Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. 3583-3587 - Yonghao Gu, Liangxun Li:
GraphEvolveDroid: Mitigate Model Degradation in the Scenario of Android Ecosystem Evolution. 3588-3591 - HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. 3592-3596 - Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li:
MixBERT for Image-Ad Relevance Scoring in Advertising. 3597-3602 - Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria:
Aspect Sentiment Triplet Extraction Using Reinforcement Learning. 3603-3607 - Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan:
Storing Multi-model Data in RDBMSs based on Reinforcement Learning. 3608-3611 - Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. 3612-3616 - He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan:
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. 3617-3621 - Jingsen Zhang, Xu Chen, Wayne Xin Zhao:
Causally Attentive Collaborative Filtering. 3622-3626 - Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. 3627-3631 - Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang:
Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. 3632-3636 - Wenjia Zhang, Lin Gui, Yulan He:
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. 3637-3641 - Xuanyu Zhang, Qing Yang:
DML: Dynamic Multi-Granularity Learning for BERT-Based Document Reranking. 3642-3646 - Zhenyu Zhang, Tao Guo, Meng Chen:
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder. 3647-3651 - Zhiling Zhang, Zelin Zhou, Haifeng Tang, Guangwei Li, Mengyue Wu, Kenny Q. Zhu:
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging. 3652-3656 - Feng Zhao, Donglin Wang:
Multimodal Graph Meta Contrastive Learning. 3657-3661 - Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li:
Multi-Task Self-Supervised Learning for Script Event Prediction. 3662-3666 - Hongkuan Zhou, James Orme-Rogers, Rajgopal Kannan, Viktor K. Prasanna:
SeDyT: A General Framework for Multi-Step Event Forecasting via Sequence Modeling on Dynamic Entity Embeddings. 3667-3671 - Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung:
Subtractive Aggregation for Attributed Network Anomaly Detection. 3672-3676 - Yiwei Zhou, Siffi Singh, Christos Christodoulopoulos:
Tabular Data Concept Type Detection Using Star-Transformers. 3677-3681 - Hao Zhu, Piotr Koniusz:
REFINE: Random RangE FInder for Network Embedding. 3682-3686 - Wenjie Zhu, Bo Peng, Chunchun Chen:
Self-Supervised Embedding for Subspace Clustering. 3687-3691
Applied Research Paper Track
- Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard, Yu Zhao, Benjamin A. Carterette, Mounia Lalmas:
Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts. 3707-3716 - Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon:
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. 3717-3726 - Guy Barshatski, Galia Nordon, Kira Radinsky:
Multi-Property Molecular Optimization using an Integrated Poly-Cycle Architecture. 3727-3736 - Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. 3737-3746 - Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen:
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. 3747-3756 - Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He:
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. 3757-3766 - Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic:
ETA Prediction with Graph Neural Networks in Google Maps. 3767-3776 - Min Du, Wenjun Hu, William Hewlett:
AutoCombo: Automatic Malware Signature Generation Through Combination Rule Mining. 3777-3786 - Pranay Dugar, Rajesh Shreedhar Bhat, Asit Sharad Tarsode, Uddipto Dutta, Kunal Banerjee, Anirban Chatterjee, Vijay Srinivas Agneeswaran:
From Pixels to Words: A Scalable Journey of Text Information from Product Images to Retail Catalog. 3787-3795 - Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A. B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, Yaming Zhang:
Beast: Scalable Exploratory Analytics on Spatio-temporal Data. 3796-3807 - Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection. 3808-3817 - Martin Gerlach, Marshall Miller, Rita Ho, Kosta Harlan, Djellel Eddine Difallah:
Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach. 3818-3827 - Yulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng:
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. 3828-3837 - Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye:
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach. 3838-3846 - Larry Huynh, Thai Nguyen, Joshua Goh, Hyoungshick Kim, Jin B. Hong:
ARGH!: Automated Rumor Generation Hub. 3847-3856 - Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song:
LightMove: A Lightweight Next-POI Recommendation forTaxicab Rooftop Advertising. 3857-3866 - Yugang Ji, Chuan Shi, Xiao Wang:
Prohibited Item Detection on Heterogeneous Risk Graphs. 3867-3877 - Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh:
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising. 3878-3887 - Nagaraj Kota, Venkatesh Duppada, Ashvini Jindal, Mohit Wadhwa:
Understanding Job Seeker Funnel for Search and Discovery Personalization. 3888-3897 - Chengbo Li, Lin Zhu, Guangyuan Fu, Longzhi Du, Canhua Zhao, Tianlun Ma, Chang Ye, Pei Lee:
Learning to Bundle Proactively for On-Demand Meal Delivery. 3898-3905 - Jianchuan Li, Peiquan Jin, Yuanjin Lin, Ming Zhao, Yi Wang, Kuankuan Guo:
Elastic and Stable Compaction for LSM-tree: A FaaS-Based Approach on TerarkDB. 3906-3915 - Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. 3916-3924 - Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. 3925-3934 - Yang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao:
Unsupervised Categorical Representation Learning for Package Arrival Time Prediction. 3935-3944 - Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang:
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. 3945-3954 - Shuming Liang, Zhidong Li, Bin Liang, Yu Ding, Yang Wang, Fang Chen:
Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series. 3955-3964 - Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang:
Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. 3965-3975 - Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. 3976-3985 - Patrice Lopez, Caifan Du, Johanna Cohoon, Karthik Ram, James Howison:
Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task. 3986-3995 - Rishabh Mehrotra:
Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations. 3996-4005 - Dadong Miao, Yanan Wang, Guoyu Tang, Lin Liu, Sulong Xu, Bo Long, Yun Xiao, Lingfei Wu, Yunjiang Jiang:
Sequential Search with Off-Policy Reinforcement Learning. 4006-4015 - Alexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte:
Scalable Learning to Troubleshoot Query Performance Problems. 4016-4025 - Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. 4026-4035 - Shaunak Mishra, Changwei Hu, Manisha Verma, Kevin Yen, Yifan Hu, Maxim Sviridenko:
TSI: An Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity. 4036-4045 - Xiuyan Ni, Shujian Bu, Lucas Adams, Igor L. Markov:
Prioritizing Original News on Facebook. 4046-4054 - Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. 4055-4064 - Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen:
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. 4065-4074 - Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. 4075-4084 - Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. 4085-4093 - Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu:
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. 4094-4103 - Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu:
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. 4104-4113 - Roee Shraga, Gil Katz, Yael Badian, Nitay Calderon, Avigdor Gal:
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry. 4114-4124 - Fu Sun, Feng-Lin Li, Ruize Wang, Qianglong Chen, Xingyi Cheng, Ji Zhang:
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering. 4125-4134 - Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin:
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps. 4135-4144 - Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner:
AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening. 4145-4154 - Mykola Trokhymovych, Diego Sáez-Trumper:
WikiCheck: An End-to-end Open Source Automatic Fact-Checking API based on Wikipedia. 4155-4164 - Yun-Da Tsai, Cheng-Kuan Chen, Shou-De Lin:
Toward an Effective Black-Box Adversarial Attack on Functional JavaScript Malware against Commercial Anti-Virus. 4165-4172 - Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steve Welch, Ismini Lourentzou:
SAUCE: Truncated Sparse Document Signature Bit-Vectors for Fast Web-Scale Corpus Expansion. 4173-4183 - Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu:
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. 4184-4192 - Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin:
Influence Maximization in Multi-Relational Social Networks. 4193-4202 - Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li:
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. 4203-4213 - Zihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang:
'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds. 4214-4223 - Shuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian:
Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. 4224-4233 - Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li:
Crawler Detection in Location-Based Services Using Attributed Action Net. 4234-4242 - Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. 4243-4252 - Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. 4253-4263 - Zhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo:
Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. 4264-4272 - Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He:
Contextual Skill Proficiency via Multi-task Learning at LinkedIn. 4273-4282 - Xiaoran Yan, Guangchen Ruan, Dimitar Nikolov, Matthew Hutchinson, Chathuri Peli Kankanamalage, Benjamin Serrette, James R. McCombs, Alan Walsh, Esen Tuna, Valentin Pentchev:
CADRE: A Cloud-Based Data Service for Big Bibliographic Data. 4283-4292 - Haode Yang, Parth Gupta, Roberto Fernández Galán, Dan Bu, Dongmei Jia:
Seasonal Relevance in E-Commerce Search. 4293-4301 - Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. 4302-4311 - Zimeng Yang, Song Yan, Abhimanyu Lad, Xiaowei Liu, Weiwei Guo:
Cascaded Deep Neural Ranking Models in LinkedIn People Search. 4312-4320 - Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger:
Self-supervised Learning for Large-scale Item Recommendations. 4321-4330 - Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. 4331-4340 - Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li:
Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. 4341-4351 - Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. 4352-4361 - Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. 4362-4372 - Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke:
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. 4373-4382 - Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu:
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. 4383-4392 - Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng:
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. 4393-4402
Resource Paper Track
- Negar Arabzadeh, Amin Bigdeli, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri:
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation. 4417-4425 - Negar Arabzadeh, Bhaskar Mitra, Ebrahim Bagheri:
MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries. 4426-4435 - Tai-Te Chu, An-Zi Yen, Wei-Hong Ang, Hen-Hsen Huang, Hsin-Hsi Chen:
VidLife: A Dataset for Life Event Extraction from Videos. 4436-4444 - Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou:
GAKG: A Multimodal Geoscience Academic Knowledge Graph. 4445-4454 - Cheyenne Dosso, José G. Moreno, Aline Chevalier, Lynda Tamine:
CoST: An annotated Data Collection for Complex Search. 4455-4464 - Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. 4465-4474 - Alishiba Dsouza, Nicolas Tempelmeier, Ran Yu, Simon Gottschalk, Elena Demidova:
WorldKG: A World-Scale Geographic Knowledge Graph. 4475-4484 - Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo:
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark. 4485-4494 - Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. 4495-4503 - Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán:
LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. 4504-4514 - Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki:
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. 4515-4525 - Craig Macdonald, Nicola Tonellotto, Sean MacAvaney, Iadh Ounis:
PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. 4526-4533 - Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani:
QuaPy: A Python-Based Framework for Quantification. 4534-4543 - André F. A. Paschoal, Paulo Pirozelli, Valdinei Freire, Karina Valdivia Delgado, Sarajane M. Peres, Marcos Menon José, Flávio Nakasato Cação, André Seidel Oliveira, Anarosa A. F. Brandão, Anna H. R. Costa, Fábio Gagliardi Cozman:
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. 4544-4553 - Julien Rossi, Svitlana Vakulenko, Evangelos Kanoulas:
VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law. 4554-4563 - Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Sinziana Astefanoaei, Oliver Kiss, Ferenc Béres, Guzmán López, Nicolas Collignon, Rik Sarkar:
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. 4564-4573 - David Schindler, Felix Bensmann, Stefan Dietze, Frank Krüger:
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. 4574-4583 - Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke:
librec-auto: A Tool for Recommender Systems Experimentation. 4584-4593 - Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu:
TrUMAn: Trope Understanding in Movies and Animations. 4594-4603 - Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova:
GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale. 4604-4612 - Anh Tran, Tao Yang, Qingyao Ai:
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox. 4613-4622 - Haiwen Wang, Le Zhou, Weinan Zhang, Xinbing Wang:
LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. 4623-4632 - Jin Wang, Yuliang Li, Wataru Hirota:
Machamp: A Generalized Entity Matching Benchmark. 4633-4642 - Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. 4643-4652 - Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. 4653-4664
Demo Papers
- Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. 4665-4669 - Angelos-Christos G. Anadiotis, Oana Balalau, Théo Bouganim, Francesco Chimienti, Helena Galhardas, Mhd Yamen Haddad, Stephane Horel, Ioana Manolescu, Youssr Youssef:
Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens. 4670-4674 - Haoyue Bai, Xiaoyan Shan, Yefan Huang, Xiaoli Wang:
MVQAS: A Medical Visual Question Answering System. 4675-4679 - Andrea Baraldi, Francesco Del Buono, Matteo Paganelli, Francesco Guerra:
Landmark Explanation: An Explainer for Entity Matching Models. 4680-4684 - Nifei Bi, Xiansen Chen, Chen Xu, Aoying Zhou:
Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference. 4685-4689 - Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. 4690-4695 - Sandrine Da Col, Radu Ciucanu, Marta Soare, Nassim Bouarour, Sihem Amer-Yahia:
DashBot: An ML-Guided Dashboard Generation System. 4696-4700 - Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
SearchEHR: A Family History Search System for Clinical Decision Support. 4701-4705 - Roohollah Etemadi, Morteza Zihayat, Kuan Feng, Jason Adelman, Ebrahim Bagheri:
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning. 4706-4710 - Yad Fatah, Mark Nourallah, Lynn Wahab, Fatima K. Abu Salem, Shady Elbassuoni:
An RDF Data Management System for Conflict Casualties. 4711-4715 - Radin Hamidi Rad, Aabid Mitha, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri:
PyTFL: A Python-based Neural Team Formation Toolkit. 4716-4720 - Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. 4721-4724 - Fei Jie, Yanxiang Huang, Qiangwei Bai, Xindong Wu:
HAO Unity: A Graph-based System for Unifying Heterogeneous Data. 4725-4729 - Maria Krommyda, Verena Kantere:
SPARQL-vision: A Platform for Querying, Visualising and Exploring SPARQL endpoints. 4730-4733 - Jieke Li, Min Yang, Chengming Li:
CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. 4734-4738 - Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi:
RCES: Rapid Cues Exploratory Search Using Taxonomies For COVID-19. 4739-4743 - Xiao Li, Huizhi Liang, Zehao Liu:
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. 4744-4748 - Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang:
From Community Search to Community Understanding: A Multimodal Community Query Engine. 4749-4753 - Feng Luo, Yue Zhang, Xiaoli Wang:
IMAS++: An Intelligent Medical Analysis System Enhanced with Deep Graph Neural Networks. 4754-4758 - John Nemec, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat:
RW-Team: Robust Team Formation using Random Walk. 4759-4763 - You Peng, Wenjie Zhao, Wenjie Zhang, Xuemin Lin, Ying Zhang:
DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs. 4764-4768 - Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. 4769-4773 - André Pomp, Alexander Paulus, Andreas Burgdorf, Tobias Meisen:
A Semantic Data Marketplace for Easy Data Sharing within a Smart City. 4774-4778 - Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng:
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. 4779-4783 - Yizhan Shao, Tong Shao, Minghao Wang, Peng Wang, Jie Gao:
A Sentiment and Style Controllable Approach for Chinese Poetry Generation. 4784-4788 - Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan:
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. 4789-4793 - Tomás Skopal, Dominika Durisková, Petr Pechman, Marek Dobranský, Vladislav Khachaturian:
Videolytics: System for Data Analytics of Video Streams. 4794-4798 - Kai Wang, Yiheng Hu, Xuemin Lin, Wenjie Zhang, Lu Qin, Ying Zhang:
A Cohesive Structure Based Bipartite Graph Analytics System. 4799-4803 - Xing Wei, Huiqi Hu, Xuan Zhou, Xuecheng Qi, Weining Qian, Jiang Wang, Aoying Zhou:
Jasmine: Exploring the Dependency-Aware Execution on Distributed Shared Memory. 4804-4807 - Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang:
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. 4808-4812 - Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu:
A Chinese Knowledge Base Question Answering System. 4813-4816 - Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai:
Form 10-Q Itemization. 4817-4822 - Zijian Zhang, Koustav Rudra, Avishek Anand:
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. 4823-4827 - Kechun Zhao, Hui Li, Zheng Gong, Jiangtao Cui:
SaDes: An Interactive System for Sensitivity-aware Desensitization towards Tabular Data. 4828-4832 - Jun Zhou, Yang Bao, Hua Wu, Zhigang Hua:
AntOpt: A Multi-functional Large-scale Decision Optimization Platform. 4833-4837
Tutorials
- Joel Barajas, Narayan Bhamidipati, James G. Shanahan:
Online Advertising Incrementality Testing: Practical Lessons And Emerging Challenges. 4838-4841 - Djellel Eddine Difallah, Alessandro Checco:
Aggregation Techniques in Crowdsourcing: Multiple Choice Questions and Beyond. 4842-4844 - Rajeev Gupta, Ranganath Kondapally:
Large-Scale Information Extraction under Privacy-Aware Constraints. 4845-4848 - Jian Kang, Hanghang Tong:
Fair Graph Mining. 4849-4852 - Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang:
AutoML: From Methodology to Application. 4853-4856 - Yunqi Li, Yingqiang Ge, Yongfeng Zhang:
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. 4857-4860 - Craig Macdonald, Nicola Tonellotto, Sean MacAvaney:
IR From Bag-of-words to BERT and Beyond through Practical Experiments. 4861 - Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, and Media Bias. 4862-4865 - Wenjie Ruan, Xinping Yi, Xiaowei Huang:
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. 4866-4869
Workshops
- Marco Beccuti, Vincenzo Bonnici, Rosalba Giugno:
MODIMO: Workshop on Multi-Omics Data Integration for Modelling Biological Systems. 4870-4871 - Srikanta Bedathur, Tanmoy Bhowmik, Nitendra Rajput, Karamjit Singh, Maneet Singh:
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World. 4872-4873 - Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Methods and Applications (LQ 2021). 4874-4875 - Georgios Drakopoulos, Eleanna Kafeza:
THECOG - Transforms In Behavioral And Affective Computing. 4876-4877 - Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil:
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. 4878-4879 - Anett Hoppe, Ran Yu, Irina R. Brich, Jiqun Liu:
IWILDS'21: Second International Workshop on Learning During Web Search. 4880-4881 - Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy:
First Workshop on Knowledge Injection in Neural Networks (KINN). 4882-4883 - Arijit Ukil, Leandro Marín, Antonio J. Jara, John R. Farserotu:
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond. 4884-4885 - Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin:
International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). 4886-4887
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