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ORCIDJiliang Tang
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- affiliation: Michigan State University, East Lansing, MI, USA
- affiliation (Ph.D.): Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2025
[j48]Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang:
Multimodal Recommender Systems: A Survey. ACM Comput. Surv. 57(2): 26:1-26:17 (2025)- 2024
- [j47]Jiayuan Ding
, Lingxiao Li, Qiaolin Lu, Julian Venegas, Yixin Wang, Lidan Wu, Wei Jin, Hongzhi Wen, Renming Liu, Wenzhuo Tang, Xinnan Dai, Zhaoheng Li, Wangyang Zuo, Yi Chang, Yu Leo Lei, Lulu Shang, Patrick Danaher, Yuying Xie, Jiliang Tang:
SpatialCTD: A Large-Scale Tumor Microenvironment Spatial Transcriptomic Dataset to Evaluate Cell Type Deconvolution for Immuno-Oncology. J. Comput. Biol. 31(9): 871-885 (2024) - [j46]Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang:
Deep Learning in Single-cell Analysis. ACM Trans. Intell. Syst. Technol. 15(3): 40:1-40:62 (2024) - [j45]Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li:
Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective. IEEE Trans. Knowl. Data Eng. 36(11): 6071-6083 (2024) - [j44]Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li:
Recommender Systems in the Era of Large Language Models (LLMs). IEEE Trans. Knowl. Data Eng. 36(11): 6889-6907 (2024) - [c235]Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin:
Exploring Memorization in Fine-tuned Language Models. ACL (1) 2024: 3917-3948 - [c234]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) 2024: 4505-4524 - [c233]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). AIED (2) 2024: 284-292 - [c232]Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang:
Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. ECCV (77) 2024: 340-356 - [c231]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? EMNLP (Findings) 2024: 2718-2730 - [c230]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. EMNLP 2024: 7067-7085 - [c229]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. EMNLP (Findings) 2024: 7223-7243 - [c228]Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson:
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis. EMNLP 2024: 16439-16455 - [c227]Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang:
Label-free Node Classification on Graphs with Large Language Models (LLMs). ICLR 2024 - [c226]Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada:
Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR 2024 - [c225]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. ICLR 2024 - [c224]Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Revisiting Link Prediction: a data perspective. ICLR 2024 - [c223]Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang:
CellPLM: Pre-training of Cell Language Model Beyond Single Cells. ICLR 2024 - [c222]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c221]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. ICML 2024 - [c220]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. ICML 2024 - [c219]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Position: Graph Foundation Models Are Already Here. ICML 2024 - [c218]Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang:
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. KDD 2024: 932-943 - [c217]Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang:
LPFormer: An Adaptive Graph Transformer for Link Prediction. KDD 2024: 2686-2698 - [c216]Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang:
AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD 2024: 6743-6744 - [c215]Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) 2024: 613-625 - [c214]Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li:
Masked Graph Autoencoder with Non-discrete Bandwidths. WWW 2024: 377-388 - [c213]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - [c212]Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang:
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 2024: 1789-1792 - [i180]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i179]Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing:
Superiority of Multi-Head Attention in In-Context Linear Regression. CoRR abs/2401.17426 (2024) - [i178]Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang:
Neural Scaling Laws on Graphs. CoRR abs/2402.02054 (2024) - [i177]Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang:
Data Poisoning for In-context Learning. CoRR abs/2402.02160 (2024) - [i176]Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Jiliang Tang:
A Data Generation Perspective to the Mechanism of In-Context Learning. CoRR abs/2402.02212 (2024) - [i175]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Graph Foundation Models. CoRR abs/2402.02216 (2024) - [i174]Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang:
Copyright Protection in Generative AI: A Technical Perspective. CoRR abs/2402.02333 (2024) - [i173]Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li:
Masked Graph Autoencoder with Non-discrete Bandwidths. CoRR abs/2402.03814 (2024) - [i172]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR abs/2402.04621 (2024) - [i171]Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang:
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective. CoRR abs/2402.08228 (2024) - [i170]Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang:
Mixture of Link Predictors. CoRR abs/2402.08583 (2024) - [i169]Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang:
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. CoRR abs/2402.08921 (2024) - [i168]Hanbing Wang, Xiaorui Liu, Wenqi Fan, Xiangyu Zhao, Venkataramana Kini, Devendra Yadav, Fei Wang, Zhen Wen, Jiliang Tang, Hui Liu:
Rethinking Large Language Model Architectures for Sequential Recommendations. CoRR abs/2402.09543 (2024) - [i167]Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu:
Are Large Language Models (LLMs) Good Social Predictors? CoRR abs/2402.12620 (2024) - [i166]Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen:
Bringing Generative AI to Adaptive Learning in Education. CoRR abs/2402.14601 (2024) - [i165]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR abs/2402.16893 (2024) - [i164]Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang:
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention. CoRR abs/2403.11052 (2024) - [i163]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR abs/2403.17281 (2024) - [i162]Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen:
Large Language Models for Education: A Survey and Outlook. CoRR abs/2403.18105 (2024) - [i161]Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). CoRR abs/2404.07960 (2024) - [i160]Wenzhuo Tang, Haitao Mao, Danial Dervovic, Ivan Brugere, Saumitra Mishra, Yuying Xie, Jiliang Tang:
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. CoRR abs/2406.01899 (2024) - [i159]Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Qian Chen, Haitao Mao, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun:
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. CoRR abs/2406.01908 (2024) - [i158]Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang:
On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. CoRR abs/2406.02378 (2024) - [i157]Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang:
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. CoRR abs/2406.03464 (2024) - [i156]Jay Revolinsky, Harry Shomer, Jiliang Tang:
Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs. CoRR abs/2406.08788 (2024) - [i155]Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang:
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR abs/2406.10727 (2024) - [i154]Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang:
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. CoRR abs/2406.10794 (2024) - [i153]Harry Shomer, Jay Revolinsky, Jiliang Tang:
Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion. CoRR abs/2406.11898 (2024) - [i152]Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu:
A Pure Transformer Pretraining Framework on Text-attributed Graphs. CoRR abs/2406.13873 (2024) - [i151]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR abs/2406.13885 (2024) - [i150]Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu:
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR abs/2406.13933 (2024) - [i149]Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang:
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. CoRR abs/2406.14773 (2024) - [i148]Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models. CoRR abs/2406.14855 (2024) - [i147]Kai Guo, Zewen Liu, Zhikai Chen, Hongzhi Wen, Wei Jin, Jiliang Tang, Yi Chang:
Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness. CoRR abs/2407.12068 (2024) - [i146]Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson:
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis. CoRR abs/2407.15286 (2024) - [i145]Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He:
Exploring Query Understanding for Amazon Product Search. CoRR abs/2408.02215 (2024) - [i144]Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin:
SA-GDA: Spectral Augmentation for Graph Domain Adaptation. CoRR abs/2408.09189 (2024) - [i143]Xinnan Dai, Qihao Wen, Yifei Shen, Hongzhi Wen, Dongsheng Li, Jiliang Tang, Caihua Shan:
Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path. CoRR abs/2408.09529 (2024) - [i142]Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang:
Sub-graph Based Diffusion Model for Link Prediction. CoRR abs/2409.08487 (2024) - [i141]Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang:
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization. CoRR abs/2410.02165 (2024) - [i140]Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan:
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. CoRR abs/2410.05298 (2024) - [i139]Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing:
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study. CoRR abs/2410.09411 (2024) - [i138]Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu:
Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. CoRR abs/2410.13088 (2024) - [i137]Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing:
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. CoRR abs/2410.16540 (2024) - [i136]Pengfei He, Zitao Li, Yue Xing, Yaling Li, Jiliang Tang, Bolin Ding:
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning. CoRR abs/2410.19000 (2024) - 2023
- [j43]Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang:
Customized Graph Nerual Networks. IEEE Data Eng. Bull. 46(2): 108-125 (2023) - [j42]Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang:
INS-GNN: Improving graph imbalance learning with self-supervision. Inf. Sci. 637: 118935 (2023) - [j41]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs. SIGKDD Explor. 25(2): 42-61 (2023) - [j40]Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. ACM Trans. Intell. Syst. Technol. 14(1): 4:1-4:59 (2023) - [j39]Wenqi Fan, Xiangyu Zhao, Qing Li, Tyler Derr, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang:
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles. IEEE Trans. Knowl. Data Eng. 35(12): 12415-12429 (2023) - [j38]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [c211]Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL (1) 2023: 10696-10711 - [c210]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CIKM 2023: 2422-2431 - [c209]Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang:
Distance-Based Propagation for Efficient Knowledge Graph Reasoning. EMNLP 2023: 14692-14707 - [c208]Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. ICDE 2023: 654-667 - [c207]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR 2023 - [c206]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. ICLR 2023 - [c205]Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang:
Alternately Optimized Graph Neural Networks. ICML 2023: 12411-12429 - [c204]Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack and Adversarial Training. ICML 2023: 38428-38442 - [c203]Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. IJCAI 2023: 6702-6711 - [c202]Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang:
How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD 2023: 2801-2812 - [c201]Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu:
Large-Scale Graph Neural Networks: The Past and New Frontiers. KDD 2023: 5835-5836 - [c200]Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD 2023: 5891-5892 - [c199]Jinhui Pang, Zixuan Wang, Jiliang Tang, Mingyan Xiao, Nan Yin:
SA-GDA: Spectral Augmentation for Graph Domain Adaptation. ACM Multimedia 2023: 309-318 - [c198]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS 2023 - [c197]Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang:
Towards Label Position Bias in Graph Neural Networks. NeurIPS 2023 - [c196]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. NeurIPS 2023 - [c195]Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng:
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information. NeurIPS 2023 - [c194]Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 - [c193]Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. SIGIR 2023: 3315-3319 - [c192]Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. WWW 2023: 705-715 - [i135]Wenqi Fan, Chengyi Liu, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li:
Generative Diffusion Models on Graphs: Methods and Applications. CoRR abs/2302.02591 (2023) - [i134]Hongzhi Wen, Wenzhuo Tang, Wei Jin, Jiayuan Ding, Renming Liu, Feng Shi, Yuying Xie, Jiliang Tang:
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data Imputation. CoRR abs/2302.03038 (2023) - [i133]Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. CoRR abs/2302.05044 (2023) - [i132]Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang:
Single-Cell Multimodal Prediction via Transformers. CoRR abs/2303.00233 (2023) - [i131]Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang:
Sharpness-Aware Data Poisoning Attack. CoRR abs/2305.14851 (2023) - [i130]Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang:
Towards Label Position Bias in Graph Neural Networks. CoRR abs/2305.15822 (2023) - [i129]Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? CoRR abs/2306.01323 (2023) - [i128]Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang:
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR abs/2306.04642 (2023) - [i127]Jiatong Li, Yunqing Liu, Wenqi Fan, Xiao-Yong Wei, Hui Liu, Jiliang Tang, Qing Li:
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective. CoRR abs/2306.06615 (2023) - [i126]Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking. CoRR abs/2306.10453 (2023) - [i125]Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li:
Recommender Systems in the Era of Large Language Models (LLMs). CoRR abs/2307.02046 (2023) - [i124]Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang:
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR abs/2307.03393 (2023) - [i123]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR abs/2307.09688 (2023) - [i122]Geri Skenderi, Hang Li, Jiliang Tang, Marco Cristani:
Graph-level Representation Learning with Joint-Embedding Predictive Architectures. CoRR abs/2309.16014 (2023) - [i121]Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Revisiting Link Prediction: A Data Perspective. CoRR abs/2310.00793 (2023) - [i120]Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang:
On the Generalization of Training-based ChatGPT Detection Methods. CoRR abs/2310.01307 (2023) - [i119]Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang:
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models. CoRR abs/2310.02401 (2023) - [i118]Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang:
Label-free Node Classification on Graphs with Large Language Models (LLMS). CoRR abs/2310.04668 (2023) - [i117]Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou:
Confidence-driven Sampling for Backdoor Attacks. CoRR abs/2310.05263 (2023) - [i116]Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin:
Exploring Memorization in Fine-tuned Language Models. CoRR abs/2310.06714 (2023) - [i115]Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang:
Adaptive Pairwise Encodings for Link Prediction. CoRR abs/2310.11009 (2023) - [i114]Xiangyu Zhao, Maolin Wang, Xinjian Zhao, Jiansheng Li, Shucheng Zhou, Dawei Yin, Qing Li, Jiliang Tang, Ruocheng Guo:
Embedding in Recommender Systems: A Survey. CoRR abs/2310.18608 (2023) - [i113]Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang:
Distance-Based Propagation for Efficient Knowledge Graph Reasoning. CoRR abs/2311.01024 (2023) - [i112]Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR abs/2311.08721 (2023) - 2022
- [j37]Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang:
Negative samples selecting strategy for graph contrastive learning. Inf. Sci. 613: 667-681 (2022) - [j36]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - [j35]Wenqi Fan, Yao Ma, Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang, Dawei Yin:
A Graph Neural Network Framework for Social Recommendations. IEEE Trans. Knowl. Data Eng. 34(5): 2033-2047 (2022) - [j34]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. 34(6): 2886-2898 (2022) - [c191]Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. AAAI 2022: 4388-4396 - [c190]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. ACL (1) 2022: 1797-1806 - [c189]Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang:
PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. CIKM 2022: 3152-3161 - [c188]Jamell Dacon, Haochen Liu, Jiliang Tang:
Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference. COLING 2022: 1442-1454 - [c187]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. ICDM 2022: 1209-1214 - [c186]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? ICLR 2022 - [c185]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. ICLR 2022 - [c184]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. ICLR 2022 - [c183]Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. KDD 2022: 709-719 - [c182]Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin:
Condensing Graphs via One-Step Gradient Matching. KDD 2022: 720-730 - [c181]Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang:
Graph Neural Networks for Multimodal Single-Cell Data Integration. KDD 2022: 4153-4163 - [c180]Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang:
Efficient Machine Learning on Large-Scale Graphs. KDD 2022: 4788-4789 - [c179]Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang:
Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD 2022: 4830-4831 - [c178]Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo:
Deep Learning on Graphs: Methods and Applications (DLG-KDD2022). KDD 2022: 4906-4907 - [c177]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo:
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. NeurIPS 2022 - [c176]Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin:
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS 2022 - [c175]Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang:
Localized Graph Collaborative Filtering. SDM 2022: 540-548 - [c174]Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang:
Learning from Imbalanced Crowdsourced Labeled Data. SDM 2022: 594-602 - [c173]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. SIGIR 2022: 112-121 - [c172]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c171]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - [e3]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i111]Hongzhi Wen, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang:
Graph Neural Networks for Multimodal Single-Cell Data Integration. CoRR abs/2203.01884 (2022) - [i110]Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. CoRR abs/2204.06522 (2022) - [i109]Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang:
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR abs/2204.08570 (2022) - [i108]Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang:
Enhancing Adversarial Training with Feature Separability. CoRR abs/2205.00637 (2022) - [i107]Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin:
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? CoRR abs/2205.10652 (2022) - [i106]Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang:
Defense Against Gradient Leakage Attacks via Learning to Obscure Data. CoRR abs/2206.00769 (2022) - [i105]Haoyu Han, Xiaorui Liu, Torkamani Ali, Feng Shi, Victor Lee, Jiliang Tang:
Alternately Optimized Graph Neural Networks. CoRR abs/2206.03638 (2022) - [i104]Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective. CoRR abs/2206.07743 (2022) - [i103]Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying:
Condensing Graphs via One-Step Gradient Matching. CoRR abs/2206.07746 (2022) - [i102]Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo:
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models. CoRR abs/2206.11460 (2022) - [i101]Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin:
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR abs/2207.03051 (2022) - [i100]Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang:
Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals. CoRR abs/2207.10032 (2022) - [i99]Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang:
Learning Representations for Hyper-Relational Knowledge Graphs. CoRR abs/2208.14322 (2022) - [i98]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR abs/2210.03561 (2022) - [i97]Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie:
Test-Time Training for Graph Neural Networks. CoRR abs/2210.08813 (2022) - [i96]Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang:
Probabilistic Categorical Adversarial Attack & Adversarial Training. CoRR abs/2210.09364 (2022) - [i95]Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang:
Towards Fair Classification against Poisoning Attacks. CoRR abs/2210.09503 (2022) - [i94]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. CoRR abs/2210.10114 (2022) - [i93]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin:
Whole Page Unbiased Learning to Rank. CoRR abs/2210.10718 (2022) - [i92]Dylan Molho, Jiayuan Ding, Zhaoheng Li, Hongzhi Wen, Wenzhuo Tang, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang:
Deep Learning in Single-Cell Analysis. CoRR abs/2210.12385 (2022) - 2021
- [j33]Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang:
SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. Trans. Data Sci. 2(4): 39:1-39:24 (2021) - [j32]Masoud Zarifneshat, Li Xiao, Jiliang Tang, Xinyu Zhang:
Learning-based blockage prediction for robust links in dynamic millimeter wave networks. Wirel. Networks 27(7): 4693-4714 (2021) - [c170]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI 2021: 750-758 - [c169]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI 2021: 16078-16080 - [c168]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) 2021: 74-85 - [c167]Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. AIED (2) 2021: 183-189 - [c166]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. AIED (2) 2021: 256-261 - [c165]Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang:
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. IEEE BigData 2021: 643-652 - [c164]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CIKM 2021: 352-361 - [c163]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CIKM 2021: 813-822 - [c162]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM 2021: 1202-1211 - [c161]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT 2021: 57-66 - [c160]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. ICDE 2021: 1583-1594 - [c159]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. ICDM 2021: 896-905 - [c158]Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. ICLR 2021 - [c157]Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang:
Elastic Graph Neural Networks. ICML 2021: 6837-6849 - [c156]Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang:
To be Robust or to be Fair: Towards Fairness in Adversarial Training. ICML 2021: 11492-11501 - [c155]Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang:
Graph Adversarial Attack via Rewiring. KDD 2021: 1161-1169 - [c154]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD 2021: 3726-3734 - [c153]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. KDD 2021: 3959-3967 - [c152]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c151]Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang:
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD 2021: 4086-4087 - [c150]Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo:
The Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21). KDD 2021: 4167-4168 - [c149]Xiaorui Liu, Jiayuan Ding, Wei Jin, Han Xu, Yao Ma, Zitao Liu, Jiliang Tang:
Graph Neural Networks with Adaptive Residual. NeurIPS 2021: 9720-9733 - [c148]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, it Can Also Break Easily. SDM 2021: 540-548 - [c147]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. WSDM 2021: 148-156 - [c146]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [c145]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i91]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR abs/2105.02778 (2021) - [i90]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CoRR abs/2105.04493 (2021) - [i89]Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang:
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR abs/2106.04794 (2021) - [i88]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i87]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? CoRR abs/2106.06134 (2021) - [i86]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - [i85]Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang:
Trustworthy AI: A Computational Perspective. CoRR abs/2107.06641 (2021) - [i84]Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang:
Elastic Graph Neural Networks. CoRR abs/2107.06996 (2021) - [i83]Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models. CoRR abs/2107.07119 (2021) - [i82]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. CoRR abs/2107.07122 (2021) - [i81]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. CoRR abs/2107.13639 (2021) - [i80]Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal:
Jointly Attacking Graph Neural Network and its Explanations. CoRR abs/2108.03388 (2021) - [i79]Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan:
Decentralized Composite Optimization with Compression. CoRR abs/2108.04448 (2021) - [i78]Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Networks for Recommendations. CoRR abs/2108.05552 (2021) - [i77]Jamell Dacon, Jiliang Tang:
What Truly Matters? Using Linguistic Cues for Analyzing the #BlackLivesMatter Movement and its Counter Protests: 2013 to 2020. CoRR abs/2109.12192 (2021) - [i76]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. CoRR abs/2110.07580 (2021) - [i75]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. CoRR abs/2110.08038 (2021) - [i74]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR abs/2112.07191 (2021) - 2020
- [j31]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17(2): 151-178 (2020) - [j30]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22(2): 19-34 (2020) - [j29]Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang:
Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. 10(1): 18 (2020) - [j28]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 11:1-11:27 (2020) - [c144]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. AAAI 2020: 670-677 - [c143]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-Level Dependencies for Robust Word Recognition. AAAI 2020: 9250-9257 - [c142]Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang:
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) 2020: 130-134 - [c141]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. AIED (2) 2020: 162-167 - [c140]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) 2020: 269-281 - [c139]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS 2020: 133-143 - [c138]Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM 2020: 1435-1444 - [c137]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c136]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. COLING 2020: 1826-1840 - [c135]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING 2020: 4403-4416 - [c134]Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang:
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM 2020 - [c133]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c132]Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. ICDM 2020: 302-311 - [c131]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [c130]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. KDD 2020: 66-74 - [c129]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. KDD 2020: 430-438 - [c128]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. KDD 2020: 3319-3327 - [c127]Han Xu, Yaxin Li, Wei Jin, Jiliang Tang:
Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD 2020: 3541-3542 - [c126]Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin:
Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD 2020: 3549-3550 - [c125]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S 2020: 249-252 - [c124]Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang:
Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM 2020: 307-315 - [c123]Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang:
Deep Adversarial Canonical Correlation Analysis. SDM 2020: 352-360 - [c122]Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. SIGIR 2020: 719-728 - [c121]Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. SIGIR 2020: 2307-2316 - [c120]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE 2020: 536-541 - [c119]Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang:
Epidemic Graph Convolutional Network. WSDM 2020: 160-168 - [c118]Hamid Karimi, Jiliang Tang:
Decision Boundary of Deep Neural Networks: Challenges and Opportunities. WSDM 2020: 919-920 - [c117]Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu:
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW 2020: 1082-1092 - [c116]Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. WWW 2020: 2782-2788 - [e2]Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash:
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN 978-1-4503-7998-4 [contents] - [i73]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. CoRR abs/2001.01015 (2020) - [i72]Xiangyu Zhao, Jiliang Tang:
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. CoRR abs/2001.06923 (2020) - [i71]Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. CoRR abs/2002.11252 (2020) - [i70]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. CoRR abs/2003.00097 (2020) - [i69]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR abs/2003.00653 (2020) - [i68]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR abs/2005.06149 (2020) - [i67]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. CoRR abs/2005.07549 (2020) - [i66]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR abs/2005.07845 (2020) - [i65]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i64]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. CoRR abs/2005.10203 (2020) - [i63]Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Non-IID Graph Neural Networks. CoRR abs/2005.12386 (2020) - [i62]Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang:
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR abs/2005.13170 (2020) - [i61]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. CoRR abs/2006.02587 (2020) - [i60]Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang:
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR abs/2006.10141 (2020) - [i59]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i58]Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Graph Convolutional Networks against Degree-Related Biases. CoRR abs/2006.15643 (2020) - [i57]Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. CoRR abs/2007.00232 (2020) - [i56]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i55]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR abs/2009.01672 (2020) - [i54]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR abs/2009.09307 (2020) - [i53]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR abs/2009.11222 (2020) - [i52]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020) - [i51]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR abs/2010.01777 (2020) - [i50]Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang:
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR abs/2010.06121 (2020) - [i49]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. CoRR abs/2011.00192 (2020) - [i48]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. CoRR abs/2011.09643 (2020)
2010 – 2019
- 2019
- [j27]Saket Sathe, Sayani Aggarwal, Jiliang Tang:
Gene Expression and Protein Function: A Survey of Deep Learning Methods. SIGKDD Explor. 21(2): 23-38 (2019) - [j26]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [j25]Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu:
Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Trans. Veh. Technol. 68(5): 4285-4294 (2019) - [c115]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. AIED (2) 2019: 169-173 - [c114]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. AIED (2) 2019: 303-308 - [c113]Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang:
Multi-factor congressional vote prediction. ASONAM 2019: 266-273 - [c112]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c111]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. ICDE 2019: 1922-1927 - [c110]Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin:
Weight Loss Prediction in Social-Temporal Context. ICHI 2019: 1-9 - [c109]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. IJCAI 2019: 1351-1357 - [c108]Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang:
Graph Convolutional Networks with EigenPooling. KDD 2019: 723-731 - [c107]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. NAACL-HLT (1) 2019: 3432-3442 - [c106]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep social collaborative filtering. RecSys 2019: 305-313 - [c105]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. SDM 2019: 657-665 - [c104]Masoud Zarifneshat, Li Xiao, Jiliang Tang:
Learning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks. SECON 2019: 1-9 - [c103]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. WWW 2019: 417-426 - [c102]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. WWW 2019: 3027-3033 - [i47]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i46]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. CoRR abs/1902.07243 (2019) - [i45]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i44]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. CoRR abs/1903.07389 (2019) - [i43]Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang:
Graph Convolutional Networks with EigenPooling. CoRR abs/1904.13107 (2019) - [i42]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. CoRR abs/1905.13160 (2019) - [i41]Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang:
Attacking Graph Convolutional Networks via Rewiring. CoRR abs/1906.03750 (2019) - [i40]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i39]Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang:
R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR abs/1907.05572 (2019) - [i38]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep Social Collaborative Filtering. CoRR abs/1907.06853 (2019) - [i37]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. CoRR abs/1907.08679 (2019) - [i36]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. CoRR abs/1908.00086 (2019) - [i35]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. CoRR abs/1909.00372 (2019) - [i34]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang:
Deep Reinforcement Learning for Online Advertising in Recommender Systems. CoRR abs/1909.03602 (2019) - [i33]Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR abs/1909.06044 (2019) - [i32]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - [i31]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR abs/1909.08072 (2019) - [i30]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. CoRR abs/1909.10166 (2019) - [i29]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR abs/1910.07561 (2019) - [i28]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR abs/1910.10486 (2019) - [i27]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-level Dependencies for Robust Word Recognition. CoRR abs/1911.09789 (2019) - [i26]Hamid Karimi, Tyler Derr, Jiliang Tang:
Characterizing the Decision Boundary of Deep Neural Networks. CoRR abs/1912.11460 (2019) - [i25]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. CoRR abs/1912.12012 (2019) - 2018
- [j24]Zhen Yang, Jiliang Tang, Huan Liu:
Cloud Information Retrieval: Model Description and Scheme Design. IEEE Access 6: 15420-15430 (2018) - [j23]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. ACM Comput. Surv. 50(6): 94:1-94:45 (2018) - [j22]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: : A Data Mining Perspective. SIGKDD Explor. 20(1): 1-12 (2018) - [j21]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. 9(2): 17:1-17:22 (2018) - [j20]Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. 30(6): 1022-1035 (2018) - [j19]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [c101]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c100]Yao Ma, Suhang Wang, Jiliang Tang:
Local and Global Information Preserved Network Embedding. ASONAM 2018: 222-225 - [c99]Hamid Karimi, Courtland VanDam, Liyang Ye, Jiliang Tang:
End-to-End Compromised Account Detection. ASONAM 2018: 314-321 - [c98]Tyler Derr, Zhiwei Wang, Jiliang Tang:
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM 2018: 363-366 - [c97]Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi:
CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM 2018: 471-478 - [c96]Hamid Karimi, Jiliang Tang, Yanen Li:
Toward End-to-End Deception Detection in Videos. IEEE BigData 2018: 1278-1283 - [c95]Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. CIKM 2018: 557-566 - [c94]Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang:
Multi-Source Multi-Class Fake News Detection. COLING 2018: 1546-1557 - [c93]Tian Xie, Chi-Yu Li, Jiliang Tang, Guan-Hua Tu:
How Voice Service Threatens Cellular-Connected IoT Devices in the Operational 4G LTE Networks. ICC 2018: 1-6 - [c92]Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Networks. ICDM 2018: 929-934 - [c91]Tyler Derr, Jiliang Tang:
Congressional Vote Analysis Using Signed Networks. ICDM Workshops 2018: 1501-1502 - [c90]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. KDD 2018: 1040-1048 - [c89]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep reinforcement learning for page-wise recommendations. RecSys 2018: 95-103 - [c88]Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV 2018: 112-121 - [c87]Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM 2018: 387-395 - [c86]Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
CrossFire: Cross Media Joint Friend and Item Recommendations. WSDM 2018: 522-530 - [c85]Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin:
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM 2018: 619-627 - [c84]Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin:
Micro Behaviors: A New Perspective in E-commerce Recommender Systems. WSDM 2018: 727-735 - [c83]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - [c82]Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin:
Hierarchical Variational Memory Network for Dialogue Generation. WWW 2018: 1653-1662 - [e1]Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents] - [i24]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Dawei Yin, Yihong Zhao, Jiliang Tang:
Deep Reinforcement Learning for List-wise Recommendations. CoRR abs/1801.00209 (2018) - [i23]Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin:
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning. CoRR abs/1802.06501 (2018) - [i22]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: A Data Mining Perspective. CoRR abs/1804.08159 (2018) - [i21]Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Deep Reinforcement Learning for Page-wise Recommendations. CoRR abs/1805.02343 (2018) - [i20]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. CoRR abs/1808.06099 (2018) - [i19]Zhiwei Wang, Yao Ma, Dawei Yin, Jiliang Tang:
Linked Recurrent Neural Networks. CoRR abs/1808.06170 (2018) - [i18]Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Network. CoRR abs/1808.06354 (2018) - [i17]Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Dynamic Graph Neural Networks. CoRR abs/1810.10627 (2018) - [i16]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Reinforcement Learning for Online Information Seeking. CoRR abs/1812.07127 (2018) - 2017
- [j18]Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, Erik Cambria:
Learning Word Representations for Sentiment Analysis. Cogn. Comput. 9(6): 843-851 (2017) - [j17]Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu:
Fake News Detection on Social Media: A Data Mining Perspective. SIGKDD Explor. 19(1): 22-36 (2017) - [j16]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 19(2): 25-35 (2017) - [j15]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - [j14]Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu:
Facilitating Time Critical Information Seeking in Social Media. IEEE Trans. Knowl. Data Eng. 29(10): 2197-2209 (2017) - [j13]Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang:
Twitter summarization with social-temporal context. World Wide Web 20(2): 267-290 (2017) - [c81]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c80]Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu:
Unsupervised Sentiment Analysis with Signed Social Networks. AAAI 2017: 3429-3435 - [c79]Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu:
Attributed Signed Network Embedding. CIKM 2017: 137-146 - [c78]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396 - [c77]Xiangyu Zhao, Jiliang Tang:
Modeling Temporal-Spatial Correlations for Crime Prediction. CIKM 2017: 497-506 - [c76]Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang:
Understanding and Predicting Weight Loss with Mobile Social Networking Data. CIKM 2017: 1269-1278 - [c75]Yao Ma, Suhang Wang, Jiliang Tang:
Network Embedding with Centrality Information. ICDM Workshops 2017: 1144-1145 - [c74]Zhiwei Wang, Jiliang Tang:
Predicting Weight Loss with Enemble Methods. ICDM Workshops 2017: 1146-1147 - [c73]Xiangyu Zhao, Jiliang Tang:
Exploring Transfer Learning for Crime Prediction. ICDM Workshops 2017: 1158-1159 - [c72]Jundong Li, Jiliang Tang, Huan Liu:
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach. IJCAI 2017: 2159-2165 - [c71]Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo:
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. KDD 2017: 987-995 - [c70]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu:
Signed Network Embedding in Social Media. SDM 2017: 327-335 - [c69]Yang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang:
Price Recommendation on Vacation Rental Websites. SDM 2017: 399-407 - [c68]Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu:
Exploiting Hierarchical Structures for Unsupervised Feature Selection. SDM 2017: 507-515 - [c67]Lin Chen, Jiliang Tang, Baoxin Li:
Embedded Supervised Feature Selection for Multi-class Data. SDM 2017: 516-524 - [c66]Courtland VanDam, Jiliang Tang, Pang-Ning Tan:
Understanding compromised accounts on Twitter. WI 2017: 737-744 - [c65]Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann:
Delving Deep into Personal Photo and Video Search. WSDM 2017: 801-810 - [c64]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [c63]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [c62]Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu:
What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation. WWW 2017: 391-400 - [r1]Suhang Wang, Jiliang Tang, Huan Liu:
Feature Selection. Encyclopedia of Machine Learning and Data Mining 2017: 503-511 - [i15]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - [i14]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CoRR abs/1706.01860 (2017) - [i13]Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu:
Fake News Detection on Social Media: A Data Mining Perspective. CoRR abs/1708.01967 (2017) - [i12]Tyler Derr, Chenxing Wang, Suhang Wang, Jiliang Tang:
Signed Node Relevance Measurements. CoRR abs/1710.07236 (2017) - [i11]Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang:
Preserving Local and Global Information for Network Embedding. CoRR abs/1710.07266 (2017) - [i10]Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. CoRR abs/1710.09485 (2017) - [i9]Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang:
A Survey on Dialogue Systems: Recent Advances and New Frontiers. CoRR abs/1711.01731 (2017) - 2016
- [j12]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. 49(3): 42:1-42:37 (2016) - [j11]Huan Liu, Fred Morstatter, Jiliang Tang, Reza Zafarani:
The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int. J. Data Sci. Anal. 1(3-4): 137-143 (2016) - [j10]Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang:
Multi-document summarization via group sparse learning. Inf. Sci. 349-350: 12-24 (2016) - [j9]Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu:
User Identity Linkage across Online Social Networks: A Review. SIGKDD Explor. 18(2): 5-17 (2016) - [c61]Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Predicting Online Protest Participation of Social Media Users. AAAI 2016: 208-214 - [c60]Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu:
Recommendation with Social Dimensions. AAAI 2016: 251-257 - [c59]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Linked Document Embedding for Classification. CIKM 2016: 115-124 - [c58]Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang:
Learning to Rewrite Queries. CIKM 2016: 1443-1452 - [c57]Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu:
Paired Restricted Boltzmann Machine for Linked Data. CIKM 2016: 1753-1762 - [c56]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
PPP: Joint Pointwise and Pairwise Image Label Prediction. CVPR 2016: 6005-6013 - [c55]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Signed Link Analysis in Social Media Networks. ICWSM 2016: 539-542 - [c54]Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu:
Exploring Personal Attributes from Unprotected Interactions. ICWSM 2016: 575-578 - [c53]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Identifying Rhetorical Questions in Social Media. ICWSM 2016: 667-670 - [c52]Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu:
Timeline Summarization from Social Media with Life Cycle Models. IJCAI 2016: 3698-3704 - [c51]Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang:
Ranking Relevance in Yahoo Search. KDD 2016: 323-332 - [c50]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c49]Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Node Classification in Signed Social Networks. SDM 2016: 54-62 - [c48]Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu:
Exploiting Emotional Information for Trust/Distrust Prediction. SDM 2016: 81-89 - [c47]Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu:
Understanding and Identifying Advocates for Political Campaigns on Social Media. WSDM 2016: 43-52 - [c46]Jiliang Tang, Charu C. Aggarwal, Huan Liu:
Recommendations in Signed Social Networks. WWW 2016: 31-40 - [i8]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. CoRR abs/1601.07996 (2016) - [i7]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Signed Link Analysis in Social Media Networks. CoRR abs/1603.06878 (2016) - [i6]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i5]Yilin Wang, Suhang Wang, Jiliang Tang, Neil O'Hare, Yi Chang, Baoxin Li:
Hierarchical Attention Network for Action Recognition in Videos. CoRR abs/1607.06416 (2016) - 2015
- [b1]Jiliang Tang, Huan Liu:
Trust in Social Media. Synthesis Lectures on Information Security, Privacy, & Trust, Morgan & Claypool Publishers 2015, ISBN 978-3-031-01217-4, pp. 1-129 - [j8]Huiji Gao, Jiliang Tang, Huan Liu:
Addressing the cold-start problem in location recommendation using geo-social correlations. Data Min. Knowl. Discov. 29(2): 299-323 (2015) - [j7]Jiliang Tang, Huiji Gao, Atish Das Sarma, Yingzhou Bi, Huan Liu:
Trust Evolution: Modeling and Its Applications. IEEE Trans. Knowl. Data Eng. 27(6): 1724-1738 (2015) - [c45]Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu:
Leveraging Social Foci for Information Seeking in Social Media. AAAI 2015: 261-267 - [c44]Suhang Wang, Jiliang Tang, Huan Liu:
Embedded Unsupervised Feature Selection. AAAI 2015: 470-476 - [c43]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Content-Aware Point of Interest Recommendation on Location-Based Social Networks. AAAI 2015: 1721-1727 - [c42]Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai:
Modeling Status Theory in Trust Prediction. AAAI 2015: 1875-1881 - [c41]Jundong Li, Xia Hu, Jiliang Tang, Huan Liu:
Unsupervised Streaming Feature Selection in Social Media. CIKM 2015: 1041-1050 - [c40]Suhang Wang, Jiliang Tang, Huan Liu:
Toward Dual Roles of Users in Recommender Systems. CIKM 2015: 1651-1660 - [c39]Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu:
Finding Time-Critical Responses for Information Seeking in Social Media. ICDM 2015: 961-966 - [c38]Yunzhong Liu, Yi Chen, Jiliang Tang, Huan Liu:
Context-Aware Experience Extraction from Online Health Forums. ICHI 2015: 42-47 - [c37]Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
Exploring Implicit Hierarchical Structures for Recommender Systems. IJCAI 2015: 1813-1819 - [c36]Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li:
Unsupervised Sentiment Analysis for Social Media Images. IJCAI 2015: 2378-2379 - [c35]Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. KDD 2015: 119-128 - [c34]Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu:
Propagation-based Sentiment Analysis for Microblogging Data. SDM 2015: 577-585 - [c33]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. WSDM 2015: 87-96 - [i4]Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu:
Leveraging Social Foci for Information Seeking in Social Media. CoRR abs/1502.06583 (2015) - [i3]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. CoRR abs/1511.07569 (2015) - [i2]Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Huan Liu:
Predicting Online Protest Participation of Social Media Users. CoRR abs/1512.02968 (2015) - 2014
- [j6]Jiliang Tang, Huan Liu:
Feature Selection for Social Media Data. ACM Trans. Knowl. Discov. Data 8(4): 19:1-19:27 (2014) - [j5]Pritam Gundecha, Geoffrey Barbier, Jiliang Tang, Huan Liu:
User Vulnerability and Its Reduction on a Social Networking Site. ACM Trans. Knowl. Discov. Data 9(2): 12:1-12:25 (2014) - [j4]Jiliang Tang, Huan Liu:
An Unsupervised Feature Selection Framework for Social Media Data. IEEE Trans. Knowl. Data Eng. 26(12): 2914-2927 (2014) - [c32]Xia Hu, Jiliang Tang, Huan Liu:
Online Social Spammer Detection. AAAI 2014: 59-65 - [c31]Jiliang Tang, Xia Hu, Yi Chang, Huan Liu:
Predictability of Distrust with Interaction Data. CIKM 2014: 181-190 - [c30]Mohammad Ali Abbasi, Jiliang Tang, Huan Liu:
Scalable learning of users' preferences using networked data. HT 2014: 4-12 - [c29]Jiliang Tang, Xia Hu, Huan Liu:
Is distrust the negation of trust?: the value of distrust in social media. HT 2014: 148-157 - [c28]Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, Huan Liu:
Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks. HT 2014: 200-205 - [c27]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
Social Spammer Detection with Sentiment Information. ICDM 2014: 180-189 - [c26]Jiliang Tang, Jie Tang, Huan Liu:
Recommendation in social media: recent advances and new frontiers. KDD 2014: 1977 - [c25]Huiji Gao, Jiliang Tang, Huan Liu:
Personalized location recommendation on location-based social networks. RecSys 2014: 399-400 - [c24]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Discriminant Analysis for Unsupervised Feature Selection. SDM 2014: 938-946 - [c23]Xia Hu, Jiliang Tang, Huan Liu:
Leveraging knowledge across media for spammer detection in microblogging. SIGIR 2014: 547-556 - [c22]Guoyong Cai, Jiliang Tang, Yiming Wen:
Trust Prediction with Temporal Dynamics. WAIM 2014: 681-686 - [c21]Jiliang Tang, Huan Liu:
Trust in social computing. WWW (Companion Volume) 2014: 207-208 - [p2]Jiliang Tang, Salem Alelyani, Huan Liu:
Feature Selection for Classification: A Review. Data Classification: Algorithms and Applications 2014: 37-64 - [i1]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. CoRR abs/1412.2723 (2014) - 2013
- [j3]Jiliang Tang, Yi Chang, Huan Liu:
Mining social media with social theories: a survey. SIGKDD Explor. 15(2): 20-29 (2013) - [j2]Jiliang Tang, Xia Hu, Huan Liu:
Social recommendation: a review. Soc. Netw. Anal. Min. 3(4): 1113-1133 (2013) - [c20]Huiji Gao, Xufei Wang, Jiliang Tang, Huan Liu:
Network denoising in social media. ASONAM 2013: 564-571 - [c19]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Modeling temporal effects of human mobile behavior on location-based social networks. CIKM 2013: 1673-1678 - [c18]Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu:
Social Spammer Detection in Microblogging. IJCAI 2013: 2633-2639 - [c17]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Exploiting Local and Global Social Context for Recommendation. IJCAI 2013: 2712-2718 - [c16]Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu:
Context-aware review helpfulness rating prediction. RecSys 2013: 1-8 - [c15]Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu:
Exploring temporal effects for location recommendation on location-based social networks. RecSys 2013: 93-100 - [c14]Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu:
Unsupervised Feature Selection for Multi-View Data in Social Media. SDM 2013: 270-278 - [c13]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
ActNeT: Active Learning for Networked Texts in Microblogging. SDM 2013: 306-314 - [c12]Jiliang Tang, Huan Liu:
CoSelect: Feature Selection with Instance Selection for Social Media Data. SDM 2013: 695-703 - [c11]Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu:
Exploiting homophily effect for trust prediction. WSDM 2013: 53-62 - [c10]Xia Hu, Lei Tang, Jiliang Tang, Huan Liu:
Exploiting social relations for sentiment analysis in microblogging. WSDM 2013: 537-546 - [c9]Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu:
Unsupervised sentiment analysis with emotional signals. WWW 2013: 607-618 - [p1]Salem Alelyani, Jiliang Tang, Huan Liu:
Feature Selection for Clustering: A Review. Data Clustering: Algorithms and Applications 2013: 29-60 - 2012
- [j1]Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu, Huan Liu:
Enriching short text representation in microblog for clustering. Frontiers Comput. Sci. China 6(1): 88-101 (2012) - [c8]Huiji Gao, Jiliang Tang, Huan Liu:
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks. CIKM 2012: 1582-1586 - [c7]Huiji Gao, Jiliang Tang, Huan Liu:
Exploring Social-Historical Ties on Location-Based Social Networks. ICWSM 2012 - [c6]Jiliang Tang, Huiji Gao, Huan Liu, Atish Das Sarma:
eTrust: understanding trust evolution in an online world. KDD 2012: 253-261 - [c5]Jiliang Tang, Huan Liu:
Unsupervised feature selection for linked social media data. KDD 2012: 904-912 - [c4]Jiliang Tang, Huan Liu:
Feature Selection with Linked Data in Social Media. SDM 2012: 118-128 - [c3]Jiliang Tang, Huiji Gao, Huan Liu:
mTrust: discerning multi-faceted trust in a connected world. WSDM 2012: 93-102 - 2011
- [c2]Xufei Wang, Jiliang Tang, Huan Liu:
Document Clustering via Matrix Representation. ICDM 2011: 804-813 - [c1]Jiliang Tang, Xufei Wang, Huan Liu:
Integrating Social Media Data for Community Detection. MSM/MUSE 2011: 1-20
Coauthor Index
[j47] [j46] [c227] [c223] [c218] [i171] [i169] [i155] [i152] [i147] [i142] [j43] [j42] [j41] [c210] [c208] [c207] [c198] [c194] [c192] [i134] [i133] [i132] [i129] [i124] [i123] [i118] [c185] [c184] [c183] [c182] [c181] [c175] [c173] [i111] [i104] [i103] [i99] [i98] [i97] [i92] [c169] [c168] [c163] [c157] [c152] [c149] [c147] [i91] [i90] [i88] [i84] [i80] [i78] [i76] [j30] [c130] [c127] [c117] [i69] [i68] [i64] [i60] [i48]
Juanhui Li
aka: Juan-Hui Li
aka: Juan-Hui Li
[j36] [e3] [j28] [i73] [j25] [j24] [j23] [j21] [j20] [c101] [c86] [c83] [e1] [j17] [j14] [c81] [c80] [c79] [c78] [c72] [c70] [c68] [c62] [r1] [i15] [i14] [i13] [j12] [j11] [j9] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c49] [c48] [c47] [c46] [i8] [i7] [b1] [j8] [j7] [c45] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [i4] [i3] [i2] [j6] [j5] [j4] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [p2] [i1] [j3] [j2] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [p1] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j45] [c233] [c231] [c230] [c229] [c227] [c226] [c225] [i177] [i174] [i170] [i168] [i167] [i161] [i155] [i154] [i152] [i149] [i148] [i141] [i139] [j41] [j39] [c210] [c204] [c203] [i135] [i132] [i131] [i128] [i127] [i124] [i120] [i119] [i118] [c191] [c190] [c189] [c171] [i109] [c170] [c160] [c159] [c154] [c153] [c148] [c146] [c145] [i86] [i75] [j31] [c143] [c137] [c135] [c133] [c131] [i65] [i59] [i56] [i55] [i52] [i31] [i28] [i27]
[c226] [i168] [j40] [c208] [c205] [c202] [c201] [c197] [i130] [c187] [c186] [c185] [c183] [c174] [c173] [c172] [i108] [i106] [i105] [i104] [i95] [c164] [c163] [c162] [c158] [c157] [c156] [c152] [c151] [c149] [c148] [i90] [i89] [i88] [i87] [i85] [i84] [i81] [i80] [i79] [i78] [c139] [c130] [c123] [c119] [i64] [i57] [i55] [i51] [i50] [c110] [i45] [i29] [j16] [i9]
[c216] [c204] [c202] [c195] [j34] [c177] [c174] [i102] [i96] [j33] [c168] [c167] [c166] [c149] [c147] [i91] [i89] [i83] [i82] [c144] [c143] [c141] [c140] [c136] [c135] [c133] [c131] [c126] [c124] [i67] [i66] [i60] [i53] [i52] [i49] [i48] [c115] [c114] [c111] [c102] [i39] [i37] [i36] [i35] [i33] [i30] [i28] [i27] [i25]
[c224] [c220] [c219] [c217] [i176] [i175] [i159] [j43] [j39] [c211] [c209] [c196] [c194] [c193] [i129] [i126] [i121] [i115] [i113] [j37] [j35] [c186] [c185] [c183] [i110] [i107] [i104] [i99] [c163] [c162] [c160] [c157] [c155] [c152] [c149] [c147] [i90] [i88] [i87] [i84] [j31] [c132] [c131] [c130] [c123] [c122] [c119] [c117] [i65] [i64] [i63] [i51] [i48] [c109] [c108] [c106] [c105] [c103] [i46] [i43] [i42] [i41] [i39] [i38] [i31] [c100] [c92] [c87] [i20] [i19] [i18] [i17] [c75] [i11]
[c208] [c198] [i123] [i109] [c155] [i80] [c138] [c131] [c130] [c124] [i64] [i60] [i58] [c108] [c105] [i43] [i41] [j23] [j21] [j20] [c101] [c100] [c88] [c86] [i20] [j18] [j17] [j14] [c81] [c79] [c75] [c70] [c69] [c68] [c62] [r1] [i13] [i12] [i11] [j9] [c61] [c60] [c59] [c57] [c56] [c53] [c48] [i8] [i5] [c44] [c40] [c39] [c37] [c36]
[c235] [c234] [c232] [c230] [c229] [c225] [c215] [i177] [i174] [i165] [i164] [i154] [i149] [i139] [c208] [c206] [c204] [c202] [i131] [i128] [i120] [i119] [i117] [i116] [i112] [c187] [c179] [i108] [i106] [i96] [i95] [i94] [c169] [c156] [c151] [c149] [c148] [i89] [i81] [i80] [j31] [j30] [c127] [c123] [i69] [i68] [i55] [i50] [i31]
[c235] [c234] [c215] [c213] [i165] [j41] [c211] [c196] [c193] [i126] [i124] [i116] [i114] [i112] [j35] [c176] [i110] [i107] [i101] [i93] [c145] [c137] [c122] [j26] [c110] [c106] [c105] [c103] [i47] [i46] [i40] [i38] [j19] [c90] [c89] [c87] [c85] [c84] [c82] [i24] [i23] [i21] [i20] [i19] [i17] [i16] [j16] [j15] [c76] [c63] [i11] [i9] [c60] [c58] [c52] [c51] [c50] [i6]
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last updated on 2024-12-26 00:46 CET by the dblp team
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