Wen Tao

I received my master's degree in Computer Science and Technology from Hunan University, where I worked with Prof. Xiangxiang Zeng and Prof. Yuansheng Liu. Previously, I completed my bachelor's degree in Computer Science and Technology at China University of Mining and Technology.

Research: My research interests focus on large language models and graph machine learning for drug discovery.

Email  /  Github  /  Google Scholar

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Education
  • September 2021 – June 2024,   GPA: 3.86/4.00,   Rank: 1/32
    Master of Engineering in Computer Science and Technology,   Hunan University (HNU)
    Supervisor: Prof. Xiangxiang Zeng, Prof. Yuansheng Liu

  • September 2017 – June 2021,   GPA: 88.18/100
    Bachelor of Engineering in Computer Science and Technology,   China University of Mining and Technology (CUMT)

Publications   (Full publications: here)
Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning
Wen Tao, Yuansheng Liu, Xuan Lin, Bosheng Song, Xiangxiang Zeng
Briefings in Bioinformatics 2023   [ Paper | Code ]
Bridging chemical structure and conceptual knowledge enables accurate prediction of compound-protein interaction
Wen Tao, Xuan Lin, Yuansheng Liu, Li Zeng, Tengfei Ma, Ning Cheng, Jing Jiang, Xiangxiang Zeng, Sisi Yuan
BMC Biology 2024   [ Paper | Code ]
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang, Longyue Wang, Bosheng Song, Xiangxiang Zeng, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering 2024   [ Paper | Code ]
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng
ICLR 2025   [ Paper | Code ]
Awards
  • Outstanding Master's Thesis (Top 3%), HNU, 2024

  • Provincial-Level Outstanding Graduate (Top 1%), HNU, 2024

  • University-Level Outstanding Graduate, HNU, 2024

  • National Scholarship (Top 1%), HNU, 2023

  • First-Class Academic Scholarship, HNU, 2021 & 2022 & 2023

  • Hugo Shong Scholarship (Sole recipient among all departmental graduate students), HNU, 2023

  • Excellent Graduate Student, HNU, 2023

  • Excellent Graduation Thesis (Top 2%), CUMT, 2021

  • College-Level Excellent Student, CUMT, 2018 & 2019 & 2020

  • China College Students’ ‘Internet+’ Innovation and Entrepreneurship Competition, Second Prize, CUMT, 2018

  • Learning Star for Integrated English (Course Grade Ranking: 5/5348), CUMT, 2018


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