Yuan Zhang - RankMe

31 papers A* 8A 6Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
2024	A	`conf`	Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. WSDM Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
2024	A*	`conf`	Intersectional Two-sided Fairness in Recommendation. WWW Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma
2024	J	`jnl`	Intersectional Two-sided Fairness in Recommendation. CoRR Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma
2023	A*	`conf`	Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
2023	J	`jnl`	Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
2023	J	`jnl`	Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation. CoRR Tianyu Zhu, Yansong Shi, Yuan Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie
2023	J	`jnl`	Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective. CoRR Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai
2023	—	`conf`	Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. WWW (Companion Volume) Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai
2023	A*	`conf`	Measuring Item Global Residual Value for Fair Recommendation. SIGIR Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
2023	J	`jnl`	Measuring Item Global Residual Value for Fair Recommendation. CoRR Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
2022	J	`jnl`	CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang
2022	A	`conf`	KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
2022	J	`jnl`	KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
2022	A*	`conf`	LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. WWW Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang
2022	J	`jnl`	LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. CoRR Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang
2022	A	`conf`	Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
2022	A	`conf`	Real-time Short Video Recommendation on Mobile Devices. CIKM Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai
2022	J	`jnl`	Real-time Short Video Recommendation on Mobile Devices. CoRR Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang
2021	J	`jnl`	Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
2021	J	`jnl`	r-GAT: Relational Graph Attention Network for Multi-Relational Graphs. CoRR Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang
2020	A	`conf`	Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. WSDM Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
2020	A*	`conf`	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CVPR Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
2020	J	`jnl`	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CoRR Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang
2020	J	`jnl`	Graph-based Regularization on Embedding Layers for Recommendation. ACM Trans. Inf. Syst. Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan Zhang
2019	J	`jnl`	Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. CoRR Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
2019	A*	`conf`	Neural IR Meets Graph Embedding: A Ranking Model for Product Search. WWW Yuan Zhang, Dong Wang, Yan Zhang
2019	J	`jnl`	Neural IR Meets Graph Embedding: A Ranking Model for Product Search. CoRR Yuan Zhang, Dong Wang, Yan Zhang
2018	A*	`conf`	COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades. AAAI Yuan Zhang, Tianshu Lyu, Yan Zhang
2017	A	`conf`	Enhancing the Network Embedding Quality with Structural Similarity. CIKM Tianshu Lyu, Yuan Zhang, Yan Zhang
2017	A*	`conf`	Hierarchical Community-Level Information Diffusion Modeling in Social Networks. SIGIR Yuan Zhang, Tianshu Lyu, Yan Zhang