Jin Chen 陈矜

Jin Chen 陈矜

RAP, ISOM, HKUST

I am now a Research Assistant Professor at the Dept of Information Systems, Business Statistics & Operations Management (ISOM) under the School of Business and Management of the Hong Kong University of Science and Technology. I got my Ph.D. degree under the advisory of Prof. Kai Zheng and Prof. Defu Lian in the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC) in Dec 2023. I got my B.S. degree from the University of Electronic Science and Technology of China in 2018. My research interests include data mining, especially on efficient recommender systems.

📝 Publications

  1. Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen. Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. The 41st International Conference on Machine Learning. (Accepted, ICML 2024)
  2. Yuanhao Pu, Rui Fan, Jin Chen, Zhihao Zhu, Defu Lian*, Enhong Chen. Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation. ACM Transactions on Recommender Systems (TORS), accepted, 2024.
  3. Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng*. Learning to Hash for Trajectory Similarity Computation and Search. The 40th IEEE International Conference on Data Engineering. (Accepted, ICDE 2024)
  4. Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng*. Task Recommendation in Spatial Crowdsourcing: A Trade-off between Diversity and Coverage. The 40th IEEE International Conference on Data Engineering. (Accepted, ICDE 2024)
  5. Zepu Lu, Jin Chen, Defu Lian*, Zaixi Zhang, Yong Ge, Enhong Chen. Knowledge Distillation for High Dimensional Search Index. The 37th Conference on Neural Information Processing Systems. (NeurIPS 2023)
  6. Jin Chen+, Zheng Liu+ (Co-author), Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen. When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. (World Wide Web)
  7. Chen Yang, Jin Chen *, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao. An Incremental Update Framework for Online Recommenders with Data-Driven Prior. The 31st ACM International Conference on Information & Knowledge Management. (CIKM 2023, Applied Research Track)
  8. Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng*. Batch-Mix Negative Sampling for Learning Recommendation Retrievers. The 31st ACM International Conference on Information & Knowledge Management. (CIKM 2023)
  9. Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu and Enhong Chen. RecStudio: Towards a Highly-Modularized Recommender System. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2023, resource track). Recstudio
  10. Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen. Cooperative Retriever and Ranker in Deep Recommenders. The Web Conference 2023. (WWW 2023)
  11. Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen. AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. The Web Conference 2023. (WWW 2023)
  12. Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Kai Zheng: SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. The 28th International Conference on Database Systems for Advanced Applications. (DASFAA 2023, Best Student Paper Award Runner-up)
  13. Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen. Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. The 36th Conference on Neural Information Processing Systems. (NeurIPS 2022)
  14. Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou and Kai Zheng*. Efficient Learning with Pseudo Labels for Query Cost Estimation. The 30th ACM International Conference on Information & Knowledge Management. (CIKM 2022)
  15. Jin Chen+, Guanyu Ye+ (Co-author), Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou and Kai Zheng*. Efficient Join Order Selection Learning with Graph-based Representation. The 28th ACM SIGKDD Conference on Knowledge Discovery and Date Mining. (KDD 2022)
  16. Rui Fan, Jin Chen, Jin Zhang, Defu Lian* and Enhong Chen. Improving Implicit Alternating Least Squares with Ring-based Regularization. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2022)
  17. Jin Chen, Defu Lian * , Binbin Jin, Kai Zheng * and Enhong Chen. Learning Recommenders for Implicit Feedback with Importance Resampling. The Web Conference 2022. (WWW 2022)
  18. Jin Chen, Defu Lian*, Binbin Jin, Xu Huang, Kai Zheng and Enhong Chen. Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. The Web Conference 2022. (WWW 2022)
  19. Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian* and Enhong Chen. xLightFM: Extremely Memory-Efficient Factorization Machine. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2021)
  20. Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian* and Kai Zheng. Automated Creative Optimization for E-Commerce Advertising. The 30th Web Conference. (WWW 2021)
  21. Defu Lian, Jin Chen, Kai Zheng * , Enhong Chen * and Xiaofang Zhou. Ranking-based Implicit Regularization for One-Class Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering, 2021. (TKDE)
  22. Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian* and Kai Zheng. Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. The 35th AAAI Conference on Artificial Intelligence. 2021. (AAAI 2021)
  23. Jin Chen, Defu Lian* and Kai Zheng. Collaborative filtering with ranking-based priors on unknown ratings. IEEE Intelligent Systems, 2020, 35(5): 38-49.
  24. Jin Chen, Defu Lian* and Kai Zheng. Improving one-class collaborative filtering via ranking-based implicit regularizer. The 33rd AAAI Conference on Artificial Intelligence. 2019. (AAAI 2019)

        Note: * indicates the corresponding author

📖 Educations

  • 2014.09 - 2018.06, University of Electronic Science and Technology of China, Bachelor
    • Information Security, School of Computer Science and Engineering
  • 2018.09 - 2023.12, University of Electronic Science and Technology of China, Ph.D.
    • Computer Science and Technology, School of Computer Science and Engineering

💻 Internships

  • 2019.10 - 2020.10, Alimama, Alibab Group, Beijing, China.
    • Online Advertising Creative Optimization
    • Mentor: Tiezheng Ge

🎖 Honors and Awards

  • The Outstanding Doctoral Graduate of Sichuan Province, 2024
  • The Most Outstanding Students Award of UESTC (10 awardees per year), 2023
  • National Scholarship, 2022
  • UESTC Academic Newcomer Award, 2022
  • First-class People’s Scholarship (2019, 2021, 2022)
  • Alibaba’s Excellent Research Intern, 2020
  • AAAI 2019 Travel Award

⏳ Professional Services

Program Committee Members

  • PC member, KDD 2023
  • PC member, AAAI 2021, 2022, 2023, 2024
  • PC member, IJCAI 2022, 2023, 2024
  • PC member, CIKM 2022, 2023
  • PC member, ECML-PKDD 2022, 2023
  • Sub-Reviewer, WWW 2022
  • Sub-Reviewer, Recsys 2023
  • PC member, BDMS@DASFAA 2023

Journal Invited Reviewer

  • ACM Transactions on Information Systems (TOIS)
  • Journal of Data & Knowledge Engineering
  • Journal of Data Science and Analytics