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ORCIDYiding Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j13]Jingtong Gao
, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin:
SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. 42(3): 86:1-86:23 (2024)- [c37]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 - [c36]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 - [c35]Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou:
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues. LREC/COLING 2024: 3075-3085 - [c34]Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP 2024: 14044-14067 - [c33]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 - [c32]Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin:
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. NAACL-HLT 2024: 2498-2518 - [c31]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) 2024: 57-73 - [c30]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) 2024: 423-439 - [c29]Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma:
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR 2024: 48-58 - [i23]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) - [i22]Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou:
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues. CoRR abs/2403.05326 (2024) - [i21]Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin:
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR abs/2405.14702 (2024) - [i20]Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. CoRR abs/2410.10127 (2024) - 2023
- [j12]Tao Niu, Yinglei Teng, Lei Jin, Panpan Zou, Yiding Liu:
Pruning-and-distillation: One-stage joint compression framework for CNNs via clustering. Image Vis. Comput. 136: 104743 (2023) - [j11]Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin:
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17(1): 4:1-4:36 (2023) - [c28]Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM 2023: 441-451 - [c27]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE 2023: 246-258 - [c26]Yiding Liu, Yinglei Teng, Tao Niu:
Splittable Pattern-Specific Weight Pruning for Deep Neural Networks. ICME 2023: 1439-1444 - [c25]Tao Niu, Yinglei Teng, Panpan Zou, Yiding Liu:
Cluster, Reconstruct and Prune: Equivalent Filter Pruning for CNNs without Fine-Tuning. ISCC 2023: 625-630 - [c24]Tao Niu, Yihang Lou, Yinglei Teng, Jianzhong He, Yiding Liu:
Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator. ACM Multimedia 2023: 5445-5454 - [i19]Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin:
Layout-aware Webpage Quality Assessment. CoRR abs/2301.12152 (2023) - [i18]Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin:
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. CoRR abs/2306.01599 (2023) - [i17]Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma:
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR abs/2306.02371 (2023) - [i16]Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma:
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR abs/2309.17078 (2023) - [i15]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) - [i14]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR abs/2310.17394 (2023) - [i13]Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin:
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. CoRR abs/2310.19056 (2023) - [i12]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR abs/2311.03275 (2023) - [i11]Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR abs/2311.07929 (2023) - [i10]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
- [j10]Weidong Li, Yuchen Liang, Yiding Liu:
Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation. Adv. Eng. Informatics 54: 101817 (2022) - [j9]Yiding Liu, Lening Wang, Amer Qouneh, Xin Fu:
Enabling PIM-based AES encryption for online video streaming. J. Syst. Archit. 132: 102734 (2022) - [j8]Yiding Liu, Xingyao Zhang, Donglin Zhuang, Xin Fu, Shuaiwen Song:
DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor. ACM Trans. Archit. Code Optim. 19(4): 60:1-60:26 (2022) - [c23]Szu-Yun Wang, Hyeonseok Bang, Yiding Liu, Minjee Kim, John Raiti:
Gaia VR: A Virtual Reality-based Neuro and Biofeedback Meditation Application. GHTC 2022: 349-352 - [c22]Szu-Yun Wang, Yiding Liu, Hyeonseok Bang, Minjee Kim, John Raiti:
Stress Management through a Neuro and Biofeedback Meditation Virtual Reality Application. PETRA 2022: 325-326 - [c21]Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin:
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR 2022: 1490-1501 - [c20]Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin:
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM 2022: 1275-1283 - [i9]Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin:
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. CoRR abs/2204.11673 (2022) - [i8]Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang:
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval. CoRR abs/2205.09153 (2022) - [i7]Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi:
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR abs/2211.08415 (2022) - 2021
- [j7]Ying Wang, Yiding Liu, Minna Xia:
Construction of a multi-source heterogeneous hybrid platform for big data. J. Comput. Methods Sci. Eng. 21(3): 713-722 (2021) - [j6]Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu:
Affinity Derivation for Accurate Instance Segmentation. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 34:1-34:20 (2021) - [c19]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. CIKM 2021: 211-220 - [c18]Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model for Web-scale Retrieval in Baidu Search. KDD 2021: 3365-3375 - [c17]Ziming Wu, Qianyao Xu, Yiding Liu, Zhenhui Peng, Yingqing Xu, Xiaojuan Ma:
Exploring Designers' Practice of Online Example Management for Supporting Mobile UI Design. MobileHCI 2021: 44:1-44:12 - [c16]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR 2021: 275-284 - [i6]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR abs/2105.13623 (2021) - [i5]Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model for Web-scale Retrieval in Baidu Search. CoRR abs/2106.03373 (2021) - 2020
- [b1]Yiding Liu:
Latent representation models for mining geo-spatial data. Nanyang Technological University, Singapore, 2020 - [j5]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. 13(11): 2312-2325 (2020) - [c15]Ziming Wu, Yulun Jiang, Yiding Liu, Xiaojuan Ma:
Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach. CHI 2020: 1-13 - [c14]Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin:
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM 2020: 2493-2500 - [c13]Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan:
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. CIKM 2020: 2621-2628 - [c12]Qianyao Xu, Yiding Liu, Yingqing Xu:
A Quantitative Method to Measure Noticeability of Animations in Mobile Interfaces. HCI (1) 2020: 498-509 - [c11]Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao:
Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE 2020: 949-960 - [c10]Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su:
A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. ICONIP (1) 2020: 643-654 - [c9]Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu:
Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. ICONIP (4) 2020: 676-684 - [c8]Yiding Liu, Xiaoning Fan, Jie Zhou, Chenglong He, Gongshen Liu:
Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization. NLPCC (1) 2020: 482-493 - [c7]Xiaoning Fan, Danyang Liu, Xuejian Wang, Yiding Liu, Gongshen Liu, Bo Su:
A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation. NLPCC (1) 2020: 494-505 - [i4]Zheng Wang, Cheng Long, Gao Cong, Yiding Liu:
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. CoRR abs/2003.02542 (2020)
2010 – 2019
- 2019
- [c6]Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li:
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR 2019: 255-264 - [c5]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW 2019: 2181-2191 - [i3]Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li:
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR abs/1901.08518 (2019) - 2018
- [c4]Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu:
Affinity Derivation and Graph Merge for Instance Segmentation. ECCV (3) 2018: 708-724 - [c3]Yiding Liu, Kaiqi Zhao, Gao Cong:
Efficient Similar Region Search with Deep Metric Learning. KDD 2018: 1850-1859 - [i2]Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu:
Affinity Derivation and Graph Merge for Instance Segmentation. CoRR abs/1811.10870 (2018) - 2017
- [j4]Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan:
An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks. Proc. VLDB Endow. 10(10): 1010-1021 (2017) - [c2]Yiding Liu, Wengang Zhou, Houqiang Li:
Quasi rate distortion optimization for binary hashing. ICIP 2017: 890-894 - 2016
- [j3]Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong:
Towards Personalized Maps: Mining User Preferences from Geo-textual Data. Proc. VLDB Endow. 9(13): 1545-1548 (2016) - [j2]Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong:
A System for Region Search and Exploration. Proc. VLDB Endow. 9(13): 1549-1552 (2016) - [c1]Yiding Liu, Zixiang Xiong, Ligang Lu, Detlef Hohl:
Fast SNR and rate control for JPEG XR. ICSPCS 2016: 1-7 - [i1]Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou:
Correlation between social proximity and mobility similarity. CoRR abs/1609.02669 (2016) - 2015
- [j1]Jianfeng Lu, James B. D. Joshi, Lei Jin, Yiding Liu:
Towards complexity analysis of User Authorization Query problem in RBAC. Comput. Secur. 48: 116-130 (2015)
Coauthor Index
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