CONFERENCE
| Why Not Together? A Multiple-Round Recommender System for Queries and Items Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang In the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2025 (Poster) [Slides] [Code] |
| AlignRec: Aligning and Training in Multimodal Recommendations Yifan Liu*, Kangning Zhang*, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang (*: indicates equal contribution) In the 33rd ACM International Conference on Information and Knowledge Management CIKM 2024 (Oral & Poster) [Slides] [Code] |
| Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation Qingyao Li, Wei Xia, Liang Yin, Jiarui Jin, Yong Yu In the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2024 (Oral & Poster) [Slides] [Code] |
| InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization Jiarui Jin*, Zexue He*, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian McAuley (*: indicates equal contribution) In the 2024 World Wide Web Conference WWW 2024 (Poster) [Slides] [Code] |
| Lending Interaction Wings to Recommender Systems with Conversational Agents Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang In the 37th Annual Conference on Neural Information Processing Systems NeurIPS 2023 (Poster) [Slides] [Code] |
| Replace Sort with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank Jiarui Jin*, Xianyu Chen*, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang (*: indicates equal contribution) In the 32nd ACM International Conference on Information and Knowledge Management CIKM 2023 (Oral) [Slides] [Code] |
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu In the 36th AAAI Conference on Artificial Intelligence AAAI 2023 (Poster) [Slides] [Code]
| Learning Enhanced Representations for Tabular Data via Neighborhood Propagation Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David Wipf In the 36th Annual Conference on Neural Information Processing Systems NeurIPS 2022 (Poster) [Slides] [Code] |
| Multi-Scale User Behavior Network for Entire Space Multi-Task Learning Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu In the 31st ACM International Conference on Information and Knowledge Management CIKM 2022 (Oral) [Slides] [Code] |
| Inductive Relation Prediction Using Analogy Subgraph Embeddings Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Quan Gan, Zheng Zhang, Yong Yu, David Wipf In the 10th International Conference on Learning Representations ICLR 2022 (Poster) [Slides] [Code] |
| Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf In the 10th International Conference on Learning Representations ICLR 2022 (Poster) [Slides] [Code] |
| Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Feedback Data Jiarui Jin*, Xianyu Chen*, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu (*: indicates equal contribution) In the 2022 World Wide Web Conference WWW 2022 (Oral) [Slides] [Code] [🔌 Real-world Deployment] |
| Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation Jiarui Jin*, Xianyu Chen*, Yuanbo Chen*, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu (*: indicates equal contribution) In the 2022 World Wide Web Conference WWW 2022 (Oral) [Slides] [Code] [🔌 Real-world Deployment] |
| Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang, Jiarui Jin, Weinan Zhang, Yong Yu, Zheng Zhang, David Wipf In the 6th International Workshop on Deep Learning on Graphs (co-located with the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining) DLG-KDD 2021 (Oral & Splotlight) [Slides] [Code] [🏆 Best Paper Award] |
| An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola In the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2020 (Oral & Poster) [Slides] [Poster] [Video] [Code] [🏆 AWS Machine Learning Research Project Award] |
| A Deep Recurrent Survival Model for Unbiased Ranking Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai In the 43rd ACM SIGIR International Conference on Research and Development in Information Retrieval SIGIR 2020 (Oral) [Slides] [Code] |
User Behavior Retrieval for Click-Through Rate
Prediction
Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu
In the 43rd ACM SIGIR International Conference on Research and Development in Information
Retrieval
SIGIR 2020 (Industry Track, Oral) [Slides] [Code]
| CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye In the 28th ACM International Conference on Information and Knowledge Management CIKM 2019 (Oral & Poster) [Slides] [Poster] [Code] [🏆 Gaia Young Scholar Outstanding Project Award] |
| Multi-Agent Reinforcement Learning for Order Dispatching via Order-Vehicle Distribution Matching Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Chenxi Wang, Yong Yu, Guobin Wu, Jieping Ye In the 28th ACM International Conference on Information and Knowledge Management CIKM 2019 (Applied Research Track, Oral & Poster) [Slides] [Poster] [Code] |
JOURNAL
| Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data Lei Zheng, Huacan Chai, Xianyu Chen, Jiarui Jin, Weinan Zhang, Yong Yu, Xiaodong Guo, Can Ge, Ziming Feng In Transactions on Recommender Systems TORS 2023 [Code] |
| Debiased Recommendation with User Feature Balancing Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen In Transactions on Information Systems TOIS 2023 [Code] |
| GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola In Transactions on Information Systems TOIS 2022 (Special Issue on Graph Technologies for User Modeling and Recommendation) [Code] |