Cascade Speculative Drafting for Even Faster LLM Inference Z Chen, X Yang, J Lin, C Sun, J Huang, KCC Chang arXiv preprint arXiv:2312.11462, 2023 | 13 | 2023 |
Learning to branch with Tree-aware Branching Transformers J Lin, J Zhu, H Wang, T Zhang Knowledge-Based Systems 252, 109455, 2022 | 11 | 2022 |
R2-DDI: relation-aware feature refinement for drug–drug interaction prediction J Lin, L Wu, J Zhu, X Liang, Y Xia, S Xie, T Qin, TY Liu Briefings in Bioinformatics 24 (1), bbac576, 2023 | 9 | 2023 |
Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models K Gao, S He, Z He, J Lin, QZ Pei, J Shao, W Zhang arXiv preprint arXiv:2308.14149, 2023 | 4 | 2023 |
Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction J Lin, H Xu, A Woicik, J Ma, S Wang Research in Computational Molecular Biology (RECOMB 2023) 13976, 268-270, 2023 | 3 | 2023 |
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models P Jiang, J Lin, Z Wang, J Sun, J Han NAACL 2024, 2024 | 2 | 2024 |
HiCRISP: A Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner C Ming, J Lin, P Fong, H Wang, X Duan, J He arXiv preprint arXiv:2309.12089, 2023 | 1 | 2023 |
Pisces: A multi-modal data augmentation approach for drug combination synergy prediction H Xu*, J Lin*, A Woicik, Z Liu, J Ma, S Zhang, H Poon, L Wang, S Wang bioRxiv, 2022.11. 21.517439, 2022 | 1 | 2022 |
CAMBranch: Contrastive Learning with Augmented MILPs for Branching J Lin, M Xu, Z Xiong, H Wang ICLR 2024, 2024 | | 2024 |
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment J Lin, H Xu, Z Wang, S Wang, J Sun medRxiv, 2024.06. 26.24309548, 2024 | | 2024 |