Scholar
Jiacheng Lin
Google Scholar ID: h9tJLt8AAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
253
H-index
10
i10-index
10
Publications
20
Co-authors
13
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Selected Papers:
- - Jiacheng Lin, Tian Wang, Kun Qian, Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning, TMLR, 2025.
- - Pengcheng Jiang*, Jiacheng Lin∗, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han, DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning, COLM, 2025.
- - Hanwen Xu*, Jiacheng Lin∗, Addie Woicik, Jianzhu Ma, Sheng Zhang, Hoifung Poon, Liewei Wang, Sheng Wang, Pisces: A multi-modal data augmentation approach for drug combination synergy prediction, Cell Genomics, 2025.
- - 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.
- - 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.
Research Experience
- Applied Scientist Internship at Amazon, Palo Alto, starting May 2024.
Education
- Ph.D. Student at University of Illinois Urbana-Champaign (UIUC), Computer Science, advised by Prof. Jimeng Sun; B.Eng and MS degree in Automation at Tsinghua University.
Background
- Research Interests: Foundation models (e.g., large language models, multi-modal models) and reinforcement learning, with applications in healthcare, biomedicine, and recommendation systems. Particularly interested in how these models can be used for reasoning, retrieval, and decision-making in complex, real-world scenarios.
Miscellany
- Seeking research-oriented internship opportunities for the summer of 2026.
