Jiacheng Lin

Jiacheng Lin

Ph.D. Student at University of Illinois Urbana-Champaign (UIUC)

Publications

(*=equal contribution)

Preprint

  • Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun, Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data, preprint, 2024. [PDF]
  • Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun, Panacea: A foundation model for clinical trial search, summarization, design, and recruitment, preprint, 2024. [PDF][CODE]
  • 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]
  • Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin (All authors contribute equally), QiZhi Pei, Jie Shao, Wei Zhang, Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models, preprint, 2023. [PDF][Repo]

Journals

  • 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]
  • Jiacheng Lin, Jialin Zhu, Huangang Wang and Tao Zhang, Learning to branch with Tree-aware Branching Transformers, Knowledge-Based Systems, Volume 252, 2022, 109455, ISSN 0950-7051. [PDF][CODE]

Conferences

  • Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, and Jie Huang, Cascade Speculative Drafting for Even Faster LLM Inference, NeurIPS, 2024. [PDF]
  • Chenlin Ming, Jiacheng Lin, Pangkit Fong, Han Wang, Xiaoming Duan and Jianping He, HiCRISP: A Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner, CAC, 2024. [PDF][CODE]
  • Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, and Jiawei Han, GENRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models, NAACL, 2024. [PDF]
  • Jiacheng Lin∗, Meng Xu*, Zhihua Xiong, and Huangang Wang. CAMBranch: Contrastive Learning with Augmented MILPs for Branching, ICLR, 2024. [PDF]
  • 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]