Zhu, Jinhua

14 publications

ICLR 2025 3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu
NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang
ICLRW 2025 Reveal the Mystery of DPO: The Connection Between DPO and RL Algorithms Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhi-Ming Ma, Yuting Liu
ICML 2024 Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning Zongmeng Zhang, Yufeng Shi, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li
ICLR 2023 $\mathcal{O}$-GNN: Incorporating Ring Priors into Molecular Modeling Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
NeurIPS 2023 FABind: Fast and Accurate Protein-Ligand Binding Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
ICLR 2023 Making Better Decision by Directly Planning in Continuous Control Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
ICLRW 2023 Uni-Fold MuSSe: De Novo Protein Complex Prediction with Protein Language Models Jinhua Zhu, Zhenyu He, Ziyao Li, Guolin Ke, Linfeng Zhang
MLJ 2022 A Study of BERT for Context-Aware Neural Machine Translation Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
TMLR 2022 Direct Molecular Conformation Generation Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu
ICLR 2021 IOT: Instance-Wise Layer Reordering for Transformer Structures Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
ICLR 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
ICLR 2020 Incorporating BERT into Neural Machine Translation Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
NeurIPS 2019 Normalization Helps Training of Quantized LSTM Lu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin, Tie-Yan Liu