I am a Computer Science Ph.D. student at University of Illinois Urbana-Champaign advised by Prof. Jimeng Sun. Before that, I earned my B.Eng and MS degree in Automation at Tsinghua University. I am also working closely with Prof. Sheng Wang and Dr. Lijun Wu.
My research interests revolve around AI4Science, including
- Natural Language Processing (especially in the healthcare domain)
- Knowledge Graph & Large Language Models
- Multi-modal Learning (text, gene, drug, protein, etc.)
- Drug Discovery
I am currently seeking research-oriented internship opportunities for the summer of 2025. Please contact me if you have any recruitment openings.
News
09/2024 Our Cascade Speculative Drafting for Even Faster LLM Inference is accepted by NeurIPS 2024.
05/2024 Starting Applied Scientist Internship at Amazon, Palo Alto.
03/2024 Our GENRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models is accepted by NAACL 2024.
01/2024 Our CAMBranch: Contrastive Learning with Augmented MILPs for Branching is accepted by ICLR 2024.
Selected Papers
- Hanwen Xu*, Jiacheng Lin∗, Addie Woicik, Zixuan Liu, Jianzhu Ma, Sheng Zhang, Hoifung Poon, Liewei Wang, Sheng Wang, Pisces: A multi-modal data augmentation approach for drug combination synergy prediction, preprint, 2023. [PDF][CODE]
- Jiacheng Lin∗, Hanwen Xu∗, Addie Woicik, Jianzhu Ma and Sheng Wang, Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction, RECOMB, 2023. [PDF][CODE]
- Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin and Tie-Yan Liu, R2-DDI: Relation-aware Feature Refinement for Drug-Drug Interaction Prediction, Briefings in Bioinformatics, Volume 24, Issue 1, 2023. [PDF][CODE]