Yi Wen (文艺)

Yi Wen (文艺)

AML Lab & PRMI Lab

🧐 About Me

Hi, I am Yi Wen. I am now an incoming PhD student at City University of Hong Kong (CityU). Fortunately, I will be supervised by Professor. Xiangyu Zhao of AML Lab from School of Data Science, CityU.

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: Graph-based recommendation, Multi-view learning, Clustering.

Download my resumé.

🔥 News

  • 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.)

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.

  • 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

  • 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

  • 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.

:envelope: Services

  • Journal Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE).

  • Conference Reviewer: NIPS 2024, CIKM 2024, ACM MM 2024, KDD 2025/2024, AAAI 2025/2024.

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