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Yong Li

Causal Inference in Recommender Systems: A Survey and Future Directions

Aug 26, 2022
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

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* Under peer review

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DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction

Aug 14, 2022
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li

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* Accepted as a research track paper in ICDE 2022

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DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias

Aug 10, 2022
Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang

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* Accepted by MM'22

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Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design

Aug 08, 2022
Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li

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* Zhilong Chen and Jinghua Piao contribute equally to this work; Accepted to CSCW 2022

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KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning

May 05, 2022
Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li

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* Accepted to ACL 2022 (long paper)

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A Review-aware Graph Contrastive Learning Framework for Recommendation

May 04, 2022
Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li

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* Accepted by SIGIR 2022

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Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction

Apr 29, 2022
Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, \\Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao

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* In proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22), July 11--15, 2022, Madrid, Spain. 5 pages

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