Xiuyuan Hu （胡修远）
I am a 3rd-year Ph.D. candidate in the Department of Electronic Engineering at Tsinghua University, Beijing, advised by Prof. Hao Zhang. Prior to this, I received my Bachelor’s degree also from Dept. EE, THU in 2022.
* During January to July 2025, I am visiting at University of Cambridge, UK.
* During July to September 2025, I will be visiting at MBZUAI, UAE.
My research is mainly focused on machine learning for drug discovery, with the aim of making a greater contribution to humans’ health and scientific discoveries through AI. I am also interested in cutting-edge AI topics including AI for medicine and healthcare, AI for materials, large language models, computer vision, neuroscience, and AI for social science.
I have published papers at top-tier machine learning conferences including NeurIPS, ICML, ICLR, and served as a reviewer at these conferences.
Now, I am open to job and internship opportunities and look forward to academic exchange and collaboration.
Email: huxy22 [at] mails.tsinghua.edu.cn
News
- 04/2025: My first-authored paper ACARL for utilizing activity cliffs in drug design is accepted by Journal of Cheminformatics.
- 01/2025: My first-authored paper 3DMolFormer for structure-based drug discovery is accepted by ICLR 2025.
- 11/2024: I pass my PhD qualifying exam.
- 07/2024: My first-authored paper Hamiltonian Diversity for measuring molecular diversity is accepted by Journal of Cheminformatics.
- 05/2024: My co-authored paper on gradient regularization in deep learning is accepted by ICML 2024.
- 09/2023: My first-authored paper MolRL-MGPT for de novo drug design is accepted by NeurIPS 2023.
- 09/2022: I start to pursue my Ph.D. degree at Tsinghua University, after obtaining my B.E. and minor B.S. degrees here.
- 05/2022: My co-authored paper on gradient norm penalization in deep learning is accepted by ICML 2022.