🧐 About Me

Hi, I am Yi Wen. 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).

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

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🔥 News

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

ACM MM 2023

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

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

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.

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

2024.03 Student of De Ya (德雅学子), National University of Defense Technology. LINK PDF
2023.10 National scholarship, 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

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.