Peiwen Li 🪽
Peiwen Li

Master’s student

Tsinghua University

Hi there! 👋

🎓 I am a third-year master’s student at Tsinghua University’s Multimedia and Network Big Data Lab, co-advised by Professors Wenwu Zhu, Xin Wang, and Yang Li. I was also fortunate to intern at Alibaba Cloud and work with Menghua Wu in Regina Barzilay Group at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL).

💡 My current research interests lie at the intersection of Large Language Models, Graph Machine Learning and Causal Discovery, with a focus on AI applications in biochemistry and biomedicine, particularly in drug discovery and combination therapies.

I am actively seeking a PhD position starting in Fall 2025. If you believe I would be a good fit for your group, please feel free to contact me.

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Featured Publications
Learning to refine domain knowledge for biological network inference
CaLMol: Disentangled Causal Graph LLM for Molecular Relational Learning
Causal-Aware Graph Neural Architecture Search under Distribution Shifts
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
All Publications
Peiwen Li, Menghua Wu (2024). Learning to refine domain knowledge for biological network inference. 38th NeurIPS 2024 Workshop on AI for New Drug Modalities (AIDrugX).
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Peiwen Li, Xin Wang, Zeyang Zhang, Linxin Xiao, Yang Li, Wenwu Zhu (2024). CaLMol: Disentangled Causal Graph LLM for Molecular Relational Learning. In Submission.
Peiwen Li, Xin Wang, Zeyang Zhang, Yijian Qin, Ziwei Zhang, Jialong Wang, Yang Li, Wenwu Zhu (2024). Causal-Aware Graph Neural Architecture Search under Distribution Shifts. arXiv.
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Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu (2024). RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. Proceedings of the 33nd ACM International Conference on Information and Knowledge Management.
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Peiwen Li, Yuan Meng, Xin Wang, Fang Shen, Yue Li, Jialong Wang, Wenwu Zhu (2023). Causal Discovery in Temporal Domain from Interventional Data. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.
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Experience

  1. Research Intern

    Regina Barzilay Group, MIT CSAIL
    Large scale Causal Discovery; Causal Inference for Biological Network

  2. Master Research Student

    Multimedia and Network Big Data Lab, Tsinghua University
    Graph Learning, Causal Discovery, Large Language Model, AI for Drug Interaction

  3. Research Intern of Alibaba Innovative Research Program

    Alibaba Cloud, Alibaba Group
    Causal Discovery and applications in AIOps of data center.

Education

  1. MSc in Data Science and Information Technology

    Tsinghua University
    Computer Science track; GPA: 3.93/4 (Major GPA: 4/4)

  2. BSc in Statistics

    Minzu University of China
    GPA: 4.43/5 (94.3/100), Rank 1st
Awards
  • Comprehensive Excellence Scholarship, Tsinghua 2024/2023
  • Outstanding Graduate Award of Beijing (4%) 2022
  • Merit Student of Beijing (1%) 2021
  • Meritorious Winner in Interdisciplinary Contest In Modeling 2020
  • Second Prize in National Mathematics Competition for Undergraduate Students (Beijing) 2019/2020

Misc

📑 Professional Services: Reviewer: KDD(2024), Pattern Recognition. 😜 My name in Chinese is 李霈雯. ( I am a dog lover. 🐕