Yuan Zhang

2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

Chongming Gao|Shiqi Wang|Shijun Li|Jiawei Chen|Xiangnan He|Wenqiang Lei|Biao Li|Yuan Zhang|Peng Jiang

ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 1

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.

Tianyu Zhu|Yansong Shi|Yuan Zhang|Yihong Wu|Fengran Mo|Jian-Yun Nie

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

Intersectional Two-sided Fairness in Recommendation.

Yifan Wang|Peijie Sun|Weizhi Ma|Min Zhang|Yuan Zhang|Peng Jiang|Shaoping Ma

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

Chongming Gao|Kexin Huang|Jiawei Chen|Yuan Zhang|Biao Li|Peng Jiang|Shiqi Wang|Zhong Zhang|Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

Measuring Item Global Residual Value for Fair Recommendation.

Jiayin Wang|Weizhi Ma|Chumeng Jiang|Min Zhang|Yuan Zhang|Biao Li|Peng Jiang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.

Yuan Zhang|Xue Dong|Weijie Ding|Biao Li|Peng Jiang|Kun Gai

Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.

Chongming Gao|Shijun Li|Yuan Zhang|Jiawei Chen|Biao Li|Wenqiang Lei|Peng Jiang|Xiangnan He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

Real-time Short Video Recommendation on Mobile Devices.

Xudong Gong|Qinlin Feng|Yuan Zhang|Jiangling Qin|Weijie Ding|Biao Li|Peng Jiang|Kun Gai

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.

Jiayan Guo|Yaming Yang|Xiangchen Song|Yuan Zhang|Yujing Wang|Jing Bai|Yan Zhang

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm.

Meng Ai|Biao Li|Heyang Gong|Qingwei Yu|Shengjie Xue|Yuan Zhang|Yunzhou Zhang|Peng Jiang

WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2020

Graph-based Regularization on Embedding Layers for Recommendation.

Yuan Zhang|Fei Sun|Xiaoyong Yang|Chen Xu|Wenwu Ou|Yan Zhang

ACM Transactions on Information Systems (TOIS) 2020 Volume 39 Issue 1

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation.

Yuan Zhang|Xiaoran Xu|Hanning Zhou|Yan Zhang

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020

2019

Neural IR Meets Graph Embedding: A Ranking Model for Product Search.

Yuan Zhang|Dong Wang|Yan Zhang

The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2017

Enhancing the Network Embedding Quality with Structural Similarity.

Tianshu Lyu|Yuan Zhang|Yan Zhang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

Hierarchical Community-Level Information Diffusion Modeling in Social Networks.

Yuan Zhang|Tianshu Lyu|Yan Zhang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017