Hi! I am a Ph.D. student in the Department of Computer Science and Technology at Tsinghua University, advised by Professor Ting Chen. My research lies at the intersection of machine learning and biomedicine, with a focus on AI for scientific discovery—developing advanced computational methods for protein interaction modeling and predictions. I have research experience spanning geometric deep learning, multimodal modeling, diffusion models, protein language models and large language models for biomedicine.

AI for scientific discovery · LLM-driven agents for biology · Protein design · Protein interaction modeling · Drug discovery.

1.   Generalizable mutation-effect prediction across adaptive immune recognition via a unified multimodal framework. Nature Machine Intelligence, 2026. [pdf] Rong Han*, Yumeng Zhang*, Xiaohong Liu*, Lei Fu*, Tong Pan, Jing Xu, Xiaoyu Wang, Peidong Zhang, Xuanzhong Chen, Jiesi Lei, Wuyang Lan, Changwei Ji, Shuguang Cui, Song Wu, Jiangning Song, Ting Chen, Guangyu Wang.

2.   VCAgent: A mutation-guided self-reflective agent framework for virtual cell modeling. KDD, 2026. Zhiyun Li*, Rong Han*, Xiaoyu Wang, Guofeng Zhang, Weixi Gao, Yusheng Su, Zihan Tian, Xiaohong Liu, Guangyu Wang.

3.   Cyc-MOPO: Multi-objective Pareto preference optimization for cyclic peptide design. In submission, 2026. Guofeng Zhang*, Rong Han*, Xiaoyu Wang, Zhiyun Li, Xiaohong Liu, Guangyu Wang.

1.   CoPRA: Bridging cross-domain pretrained sequence models with complex structures for protein–RNA binding affinity prediction. AAAI, 2025: 246–254. (Oral, top 4%) Rong Han*, Xiaohong Liu*, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen.

2.   HeMeNet: Heterogeneous multichannel equivariant network for protein multi-task learning. AAAI, 2025: 237–245. Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen.

3.   FocusLLM: Scaling LLM's context by parallel decoding. ACL, 2025: 31087–31101. Zhenyu Li, Yike Zhang, Tengyu Pan, Yutao Sun, Zhichao Duan, Junjie Fang, Rong Han, Zixuan Wang, Jianyong Wang.

4.   VividMed: Vision language model with versatile visual grounding for medicine. NAACL, 2025. Lingxiao Luo, Bingda Tang, Xuanzhong Chen, Rong Han, Ting Chen.

5.   SpecLig: Energy-guided hierarchical model for target-specific 3D ligand design. RECOMB, 2025. Peidong Zhang, Rong Han, Xiangzhe Kong, Ting Chen, Jianzhu Ma.

6.   Rag2Mol: Structure-based drug design based on retrieval-augmented generation. Briefings in Bioinformatics, 2025, 26(3): bbaf265. Peidong Zhang, Xingang Peng, Rong Han, Ting Chen, Jianzhu Ma.

1.   DanceCamera3D: 3D camera movement synthesis with music and dance. CVPR, 2024. Zixuan Wang, Jia Jia, Shikun Sun, Haozhe Wu, Rong Han, Zhenyu Li, Di Tang, Jiaqing Zhou, Jiebo Luo.

2.   Detection of sarcopenia using a deep-learning-based artificial intelligence body part measure system (AIBMS). Frontiers in Physiology, 2023, 14: 1092352. Shangzhi Gu*, Lixue Wang*, Rong Han*, Xiaohong Liu, Yizhe Wang, Ting Chen, Zhuozhao Zheng.

3.   Building universal foundation models for medical image analysis with spatially adaptive networks. arXiv preprint, 2023. [arXiv] Lingxiao Luo, Xuanzhong Chen, Bingda Tang, Xinsheng Chen, Rong Han, Chengpeng Hu, Yujiang Li, Ting Chen.

4.   Yolo-SG: Salience-guided detection of small objects in medical images. IEEE ICIP, 2022: 4218–4222. Rong Han, Xiaohong Liu, Ting Chen.

5.   MAVEN: A massive general domain event detection dataset. EMNLP, 2020: 1652–1671. Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou.

Hobbies: I enjoy frisbee, basketball, and jogging. I am also picking up new hobbies such as cooking and fishing.

Coding Skills: C/C++, Python, MATLAB.

Languages: Chinese (native), English (fluent).