About me

Hello,

I am a PhD in Department of Computer Science, Hunan University. I worked with Professor Xiangxiang Zeng and Bosheng Song. Previously I worked as research intern in Amazon Shanghai AI Lab, Huawei Cloud and full-time Research Engineer in Alibaba.

I am supported by the Young Scientists Fund of the National Natural Science Foundation of China (¥300,000) and Young Elite Scientists Sponsorship Program by CAST - Doctoral Student Special Plan (via CAAI)

My research interests mainly focus on Knowledge Graph, LLM, Agent and their application in biological problems. Currently I’m working on drug discovery and molecule edit/generation with model Transparency.

What’s new?

[05/2026] Two papers are accepted in KDD 2026 AI4Science track. Congrates to co-authors!

[05/2026] One paper is accepted in IJCAI 2026. Congrates to co-authors!

[02/2026] Two papers are accepted in CVPR 2026. Congrates to co-authors!

[11/2025] Two papers are accepted as AAAI 2026 oral presentation.

[11/2025] One paper is accepted by IEEE J-BHI.

[10/2025] One paper is accepted by BIBM 2025.

[09/2025] One paper is accepted by NeurIPS 2025.

[08/2025] One co-first author paper is accepted by EMNLP 2025 (Findings). Congrates to Chengrui Xiang!

[08/2025] One co-authored paper (with corresponding author) has been accepted by Journal of Chemical Information and Modeling (JCIM). Congrates to Lingxuan Xie!

[07/2025] ImageDDI is accepted on Information Fusion (IF: 15.5), Congratulations to Yuqin He.

[01/2025] One paper about path-based explainable framework is accepted on ICLR 2025!

[12/2024] One paper about KG-enhanced inductive KGC is accepted on AAAI 2025 oral!

[09/2024] One paper about KG-enhanced drug discovery is accepted on TKDE!

[06/2024] One paper about medicine recommendation based on causal inference was accepted by CIKM 2024! Congratulations to Xiang Li.

[04/2024] One paper about graph domain adaptation was accepted by Scientific Reports! Congratulations to Zhuo Zeng.

[11/2023] One paper about medicine recommendation was accepted by Knowledge-Based Systems (KBS)! Congratulations to Xiang Li.

[07/2022] One paper about drug screening was accepted by IEEE TKDE!

[06/2022] I worked as a full-time engineer for sponsored recommandation in Alibaba!

[09/2021] One paper was published on Bioinformatics!

[06/2021] I started working as AI Engineer in Huawei Cloud

[12/2020] I started working as a research intern in Amazon Shanghai AI Lab.

[07/2020] One paper was accepted by Journal of Proteome Research!

[04/2020] One paper was accepted by IJCAI 2020!

Invited Talks

$\text{Knowledge Understanding and Reasoning for Computational Drug Discovery }$
Invited talk, Nanshan Respiratory Health Forum, May 2026

$\text{Knowledge-enhanced Drug Discovery }$
Invited talk, School of Robotics, Hunan University, April 2026

$\text{Knowledge Understanding and Reasoning for Drug Discovery }$
Invited talk, School of Information Science, Yunnan Normal University, October 2025

Awards

National Scholarship
BYD Scholarship

Professional Services

Served as reviewers for the Conference ICLR 2025/2026, AAAI 2026, ACM MM 2025, and NeurIPS 2025.
Served as reviewers for the Journal npj Digital Medicine, Scientific Reports, Bioinformatics, Neural Network, and IEEE Transactions on Big Data.

Acknowledgement

My study cannot be possible without the support from my awesome friends, mentors, and collaborators! Check out some of them:

Prof. Xiangxiang Zeng, Prof. Bosheng Song, Prof. Jianxin Lin&Yijun Wang at Hunan University
Prof. Philip S. Yu at the University of Illinons at Chicago, Prof. Feixiong Cheng at Cleveland Clinic. Prof. Patrick Cheong-Iao Pang at Macao Polytechnic University.
Prof. Xuan Lin at Xiangtan University, Dr. Yujie Chen at Hunan University, and Dr. Jianmin Wang at Yonsei University
Dr. Wen Tao at Adelaide University, Dr. Xiang Song at Amazon, and Dr. Mufei Li at Georgia Institute of Technology, Dr. Dashun Zheng at Macao Polytechnic University

Tengfei Ma

What’s new?

Invited Talks

Awards

Professional Services

Acknowledgement