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2020 – today
- 2024
[j33]Tiantian Xiao, Ziwei Wang, Yongfeng Zhang
, Hongbin Lv, Shuai Wang, Hailing Feng, Yanna Zhao:
Self-supervised Learning with Attention Mechanism for EEG-based seizure detection. Biomed. Signal Process. Control. 87(Part A): 105464 (2024)- [j32]Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai:
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. ACM Trans. Inf. Syst. 42(1): 29:1-29:29 (2024) - 2023
- [j31]Yanna Zhao, Jiatong He, Fenglin Zhu, Tiantian Xiao, Yongfeng Zhang, Ziwei Wang, Fangzhou Xu, Yi Niu:
Hybrid Attention Network for Epileptic EEG Classification. Int. J. Neural Syst. 33(6): 2350031:1-2350031:14 (2023) - [j30]Yongfeng Zhang, Tiantian Xiao, Ziwei Wang, Hongbin Lv, Shuai Wang, Hailing Feng, Shanshan Zhao, Yanna Zhao:
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data. Int. J. Neural Syst. 33(11): 2350056:1-2350056:16 (2023) - [j29]Qianli Xing, Zhenbin Zhang, Zhen Li, Xiaozhe Liu, Yu Li, Yi Zhang, Yongfeng Zhang, Tomislav Dragicevic, José Rodríguez:
Bias-Free Predictive Control of Power Converters with LCL Filter in Micro-Energy Systems. IEEE Trans. Ind. Electron. 70(6): 5907-5916 (2023) - [j28]Lei Li, Yongfeng Zhang, Li Chen:
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. ACM Trans. Intell. Syst. Technol. 14(2): 21:1-21:24 (2023) - [j27]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang:
Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 14(5): 95:1-95:48 (2023) - [j26]Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023) - [j25]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. ACM Trans. Inf. Syst. 41(4): 103:1-103:26 (2023) - [c132]Lei Li, Yongfeng Zhang, Li Chen:
Prompt Distillation for Efficient LLM-based Recommendation. CIKM 2023: 1348-1357 - [c131]Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang:
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI 2023: 2307-2314 - [c130]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. ICLR 2023 - [c129]Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang:
Causal Collaborative Filtering. ICTIR 2023: 235-245 - [c128]Juntao Tan, Yongfeng Zhang:
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. KDD 2023: 2166-2176 - [c127]Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang:
Tutorial on Large Language Models for Recommendation. RecSys 2023: 1281-1283 - [c126]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR 2023: 2426-2430 - [c125]Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP 2023: 195-204 - [c124]Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. WSDM 2023: 249-257 - [c123]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c122]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. WWW 2023: 833-844 - [i95]Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR abs/2301.04016 (2023) - [i94]Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang:
Transferable Fairness for Cold-Start Recommendation. CoRR abs/2301.10665 (2023) - [i93]Juntao Tan, Yongfeng Zhang:
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. CoRR abs/2301.11765 (2023) - [i92]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR abs/2302.03431 (2023) - [i91]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. CoRR abs/2303.02995 (2023) - [i90]Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang:
OpenAGI: When LLM Meets Domain Experts. CoRR abs/2304.04370 (2023) - [i89]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR abs/2304.05492 (2023) - [i88]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
PBNR: Prompt-based News Recommender System. CoRR abs/2304.07862 (2023) - [i87]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR abs/2305.00574 (2023) - [i86]Guo Lin, Yongfeng Zhang:
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT. CoRR abs/2305.04518 (2023) - [i85]Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
How to Index Item IDs for Recommendation Foundation Models. CoRR abs/2305.06569 (2023) - [i84]Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang:
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR abs/2305.12090 (2023) - [i83]Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
VIP5: Towards Multimodal Foundation Models for Recommendation. CoRR abs/2305.14302 (2023) - [i82]Yunqi Li, Yongfeng Zhang:
Fairness of ChatGPT. CoRR abs/2305.18569 (2023) - [i81]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News. CoRR abs/2306.10702 (2023) - [i80]Shuyuan Xu, Wenyue Hua, Yongfeng Zhang:
OpenP5: Benchmarking Foundation Models for Recommendation. CoRR abs/2306.11134 (2023) - [i79]Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. CoRR abs/2307.00165 (2023) - [i78]Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. CoRR abs/2307.00457 (2023) - [i77]Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang:
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR abs/2308.00894 (2023) - [i76]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Natural Language is All a Graph Needs. CoRR abs/2308.07134 (2023) - [i75]Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. CoRR abs/2309.01157 (2023) - [i74]Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan:
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR abs/2309.15379 (2023) - [i73]Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang:
FMMRec: Fairness-aware Multimodal Recommendation. CoRR abs/2310.17373 (2023) - [i72]Kai Mei, Yongfeng Zhang:
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation. CoRR abs/2310.17488 (2023) - [i71]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Exploring Fine-tuning ChatGPT for News Recommendation. CoRR abs/2311.05850 (2023) - 2022
- [j24]Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang:
Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. 59(3): 102864 (2022) - [j23]Yongfeng Zhang, Shuling Hu, Gongliu Yang, Xiaojun Zhou, Hongwu Liu:
An Improved Online Self-Calibration Method Utilizing Angular Velocity Observation for Ultra High Accuracy PIGA-Based IMU. Sensors 22(21): 8136 (2022) - [c121]Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang:
Improving Personalized Explanation Generation through Visualization. ACL (1) 2022: 244-255 - [c120]Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang:
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CIKM 2022: 169-179 - [c119]Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CIKM 2022: 2301-2310 - [c118]Hongwu Liu, Shuling Hu, Qingzhong Cai, Yongfeng Zhang, Kun Zhang:
Backstepping Terminal Sliding Mode Control of FOG Inertial Platform Stability Loop Based on Extended State Observer. CRC 2022: 29-34 - [c117]Wenyue Hua, Yongfeng Zhang:
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning. EMNLP (Findings) 2022: 601-612 - [c116]Yanbo Fang, Yongfeng Zhang:
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation. EMNLP (Findings) 2022: 5883-5893 - [c115]Yanbo Fang, Zuohui Fu, Xin Dong, Yongfeng Zhang, Gerard de Melo:
Assessing Combinational Generalization of Language Models in Biased Scenarios. AACL/IJCNLP (2) 2022: 392-397 - [c114]Yunqi Li, Hanxiong Chen, Juntao Tan, Yongfeng Zhang:
Causal factorization machine for robust recommendation. JCDL 2022: 10 - [c113]Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian:
Fairness-aware Federated Matrix Factorization. RecSys 2022: 168-178 - [c112]Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys 2022: 299-315 - [c111]Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. SIGIR 2022: 681-691 - [c110]Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang:
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. SIGIR 2022: 1304-1315 - [c109]Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang:
Graph Collaborative Reasoning. WSDM 2022: 75-84 - [c108]Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM 2022: 316-324 - [c107]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. WSDM 2022: 1597-1600 - [c106]Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang:
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. WWW 2022: 946-955 - [c105]Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW 2022: 1018-1027 - [c104]Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
ExpScore: Learning Metrics for Recommendation Explanation. WWW 2022: 3740-3744 - [i70]Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR abs/2201.00140 (2022) - [i69]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. CoRR abs/2201.04399 (2022) - [i68]Yujia Fan, Yongfeng Zhang:
Neural Logic Analogy Learning. CoRR abs/2202.02436 (2022) - [i67]Xu Chen, Yongfeng Zhang, Ji-Rong Wen:
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. CoRR abs/2202.06466 (2022) - [i66]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. CoRR abs/2202.07371 (2022) - [i65]Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang:
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR abs/2202.08816 (2022) - [i64]Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR abs/2203.13366 (2022) - [i63]Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. CoRR abs/2204.11159 (2022) - [i62]Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang:
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. CoRR abs/2204.13160 (2022) - [i61]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang:
Fairness in Recommendation: A Survey. CoRR abs/2205.13619 (2022) - [i60]Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang:
A Survey on Trustworthy Recommender Systems. CoRR abs/2207.12515 (2022) - [i59]Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei:
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR abs/2208.04222 (2022) - [i58]Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR abs/2208.08017 (2022) - [i57]Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang:
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CoRR abs/2208.11083 (2022) - [i56]Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. CoRR abs/2208.11094 (2022) - [i55]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - [i54]Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu:
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing. CoRR abs/2211.04476 (2022) - 2021
- [j22]Yangyang Li, Mingxing Shen, Lei Yang, Chenlong Deng, Weiming Tang, Xuan Zou, Yawei Wang, Yongfeng Zhang:
Initial Assessment of Galileo Triple-Frequency Ambiguity Resolution between Reference Stations in the Hong Kong Area. Remote. Sens. 13(4): 778 (2021) - [j21]Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang:
Conversational Search and Recommendation: Introduction to the Special Issue. ACM Trans. Inf. Syst. 39(4): 38:1-38:6 (2021) - [c103]Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian:
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. AAAI 2021: 1415-1423 - [c102]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Transformer for Explainable Recommendation. ACL/IJCNLP (1) 2021: 4947-4957 - [c101]Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang:
Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. CIKM 2021: 494-503 - [c100]Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang:
Counterfactual Explainable Recommendation. CIKM 2021: 1784-1793 - [c99]Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240 - [c98]Yunqi Li, Yingqiang Ge, Yongfeng Zhang:
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. CIKM 2021: 4857-4860 - [c97]Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang:
IUI 2021 Tutorial on Conversational Recommendation Systems. IUI Companion 2021: 1-2 - [c96]Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang:
Faithfully Explainable Recommendation via Neural Logic Reasoning. NAACL-HLT 2021: 3083-3090 - [c95]Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang:
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys 2021: 484-494 - [c94]Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Counterfactual Data-Augmented Sequential Recommendation. SIGIR 2021: 347-356 - [c93]Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian:
FedCT: Federated Collaborative Transfer for Recommendation. SIGIR 2021: 716-725 - [c92]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
Towards Personalized Fairness based on Causal Notion. SIGIR 2021: 1054-1063 - [c91]Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang:
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. SIGIR 2021: 2415-2421 - [c90]Lei Li, Yongfeng Zhang, Li Chen:
EXTRA: Explanation Ranking Datasets for Explainable Recommendation. SIGIR 2021: 2463-2469 - [c89]Yunqi Li, Yingqiang Ge, Yongfeng Zhang:
Tutorial on Fairness of Machine Learning in Recommender Systems. SIGIR 2021: 2654-2657 - [c88]Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen:
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. SIGIR 2021: 2677-2680 - [c87]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [c86]Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang:
WSDM 2021 Tutorial on Conversational Recommendation Systems. WSDM 2021: 1134-1136 - [c85]Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong:
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM 2021: 1161-1162 - [c84]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021: 436-448 - [c83]Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
User-oriented Fairness in Recommendation. WWW 2021: 624-632 - [c82]Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang:
Neural Collaborative Reasoning. WWW 2021: 1516-1527 - [c81]Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. WWW 2021: 1727-1736 - [i53]Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang:
Generate Natural Language Explanations for Recommendation. CoRR abs/2101.03392 (2021) - [i52]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. CoRR abs/2101.03584 (2021) - [i51]