Yi Wen (文艺)

Yi Wen (文艺)

AML Lab & PRMI Lab

🧐 About Me

Hi, I am Yi Wen. I am a first-year PhD student at the City University of Hong Kong (CityU), supervised by Professor. Xiangyu Zhao of AML Lab.

I have graduated from School of Mathematics and Statistics, Centre South University (中南大学数学与统计学院) with a bachelor’s degree and College of Computer Science and Technology, National University of Defense Technology (国防科技大学计算机学院) with a master’s degree, advised by Professor Xinwang LIU (刘新旺教授) of PRMI Lab.

Research Interests: Recommendation, RAG, Multi-view Clustering.

Download my resumé.

🔥 News

  • 2025.05:  🎉🎉 One Paper is accepted by KDD.
  • 2024.09:   Start my PhD study at CityU.
  • 2024.05:  One Paper is accepted by ICML.
  • 2024.03:  One Paper is accepted by TNNLS.
  • 2023.12:   One Paper is accepted by AAAI 2024.
  • 2023.09:   One Paper is accepted by TCSVT.

📝 Publications

(* indicates equal contribution; # indicates corresponding authorship.)

KDD 2025
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Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation

Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang#, Yiqi Wang, Fuzhen Zhuang#, Xiangyu Zhao#. Code PDF

  • We introduce a domain selection principle (SDSP), leveraging both the supervised signals and the unsupervised distance measure to select beneficial domains. Besides, SDSP can be integrated into existing MDR methods to improve their performance.
ACM MM 2023
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Scalable Incomplete Multi-View Clustering with Structure Alignment

Yi Wen, Siwei Wang#, Ke Liang, Weixuan Liang, Xinhang Wan, Xinwang Liu#, Suyuan Liu, Jiyuan Liu, En Zhu. Code PDF

  • In order to solve the Anchor-Unaligned Problem for Incomplete Data, a novel alignment module is proposed in this paper to capture the view-specific structure. With the guidance of structure information, the cross-view anchor correspondence mapping can be refined adequately.
ACM MM 2023
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Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

Yi Wen*, Suyuan Liu*, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu#, Xihong Yang, Pei Zhang. Code PDF

  • We design an anchor graph learning framework termed Efficient Multi-View Graph Clustering with Local and Global Structure Preservation (EMVGC-LG). With the proven properties, the proposed anchor graph paradigm can not only capture the global structure between data but also well approximate the local structure.
TNNLS
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Unpaired Multi-View Graph Clustering with Cross-View Structure Matching

Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu#. Code PDF

  • We propose a new paradigm for graph-based MVC termed Data-Unpaired Problem (DUP). Our solution to this problem is of great significance and can avoid the strong assumption of the alignment of cross-view data in data collection.

  • A Survey of Personalization: From RAG to Agent, Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Arxiv 2025. Github PDF

  • Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information, Xinhang Wan, Jiyuan Liu, Xinwang Liu#, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu#, ICML 2024. Code PDF

  • One-step Multi-view Clustering with Diverse Representation, Xinhang Wan, Jiyuan Liu, Xinbiao Gan, Xinwang Liu#, Siwei Wang, Yi Wen, Tianjiao Wan, En Zhu#, TNNLS. Code PDF

  • Sample-level Cross-view Similarity Learning for Incomplete Multi-view Clustering, Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu#, AAAI 2024. Code

  • How to Construct Corresponding Anchors for Incomplete Multiview Clustering, Shengju Yu, Siwei Wang, Yi Wen, Ziming Wang, Zhigang Luo, En Zhu, Xinwang Liu#, TCSVT. PDF

  • Knowledge Graph Contrastive Learning based on Relation-Symmetrical Structure, Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu#, TKDE. PDF

  • DealMVC: Dual Contrastive Calibration for Multi-view Clustering, Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu#, En Zhu#, ACM MM 2023. Code PDF

  • Auto-weighted Multi-view Clustering for Large-scale Data, Xinhang Wan, Xinwang Liu#, Jiyuan Liu, Siwei Wang, Yi Wen, Weixuan Liang, En Zhu, Zhe Liu, Lu Zhou, AAAI 2023. Code PDF

  • Continual Multi-view Clustering, Xinhang Wan, Jiyuan Liu, Weixuan Liang, Xinwang Liu#, Yi Wen, En Zhu, ACM MM 2022. Code PDF

🎖 Honors and Awards

  • 2025.03 Outstanding Reviewer of ACM MM 2025. LINK
  • 2024.05 Outstanding Graduates of Hunan Province (湖南省优秀毕业生), National University of Defense Technology. PDF
  • 2024.03 Student of De Ya (德雅学子), National University of Defense Technology. LINK PDF
  • 2023.10 National Scholarship (国家奖学金), National University of Defense Technology. PDF
  • 2020.06 National Project on Undergraduate Innovation and Entrepreneurship, Central South University. PDF
  • 2019.11 Second Prize, National College Students Mathematical Modeling Contest, Central South University. PDF
  • 2018.11 Second Prize, the Chinese Mathematics Competitions, Central South University. PDF

📖 Educations

  • 2024.09 - NOW, PhD student in Data Science, City University of Hong Kong, Hong Kong, China.
  • 2021.09 - 2024.01, Master, National University of Defense Technology, Changsha, China.
  • 2017.09 - 2021.06, Undergraduate, Central South University, Changsha, China.
  • 2014.09 - 2017.06, Mingde High School, Changsha, China.

✉️ Services

  • Journal Reviewer: IEEE T-PAMI, IEEE T-NNLE, IEEE T-KDE.

  • Conference Reviewer: NeurIPS 2025/2024, ICML 2025, ICLR 2025, ACM MM 2025/2024, KDD 2025/2024, AAAI 2025/2024, CIKM 2025/2024, ECAI 2025.

💻 Internships

  • 2024.03 - 2024.08, Visiting Student in Institute of Artificial Intelligence, Beihang University, advised by Prof. Fuzhen Zhuang.

📎 Homepages