Jinhua Zhu - RankMe

58 papers A* 13A 1Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CodeContests-O: Powering LLMs via Feedback-Driven Iterative Test Case Generation. CoRR Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Kangwen Zhao, Dongyun Xue, Mingxiao Feng, Wengang Zhou, Houqiang Li
2025	A*	`conf`	3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling. ICLR Qizhi Pei, Rui Yan, Kaiyuan Gao, Jinhua Zhu, Lijun Wu
2025	J	`jnl`	Bias Fitting to Mitigate Length Bias of Reward Model in RLHF. CoRR Kangwen Zhao, Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Dongyun Xue, Wengang Zhou, Li Li, Houqiang Li
2025	J	`jnl`	Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling. CoRR Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Yue Wang, Li Li, Wengang Zhou, Houqiang Li
2025	—	`conf`	FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. KDD (1) Kaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu, Kun He, Lijun Wu
2025	J	`jnl`	Multi-Level Aware Preference Learning: Enhancing RLHF for Complex Multi-Instruction Tasks. CoRR Ruopei Sun, Jianfeng Cai, Jinhua Zhu, Kangwen Zhao, Dongyun Xue, Wengang Zhou, Li Li, Houqiang Li
2025	J	`jnl`	RESIST: Rationale-Enhanced and Reward Model-Based End-to-End Social Influence Dialogue System. ACM Trans. Multim. Comput. Commun. Appl. Tong Wu, Jinhua Zhu, Wengang Zhou, Houqiang Li
2025	J	`jnl`	Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. CoRR Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu
2024	J	`jnl`	3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization. CoRR Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan
2024	—	`conf`	BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. ACL (Findings) Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan
2024	J	`jnl`	BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. CoRR Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan
2024	—	`conf`	BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP (Findings) Zongmeng Zhang, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li
2024	J	`jnl`	BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? CoRR Zongmeng Zhang, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li
2024	A	`conf`	Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CIKM Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2024	J	`jnl`	Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CoRR Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2024	J	`jnl`	FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu
2024	J	`jnl`	Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan
2024	A*	`conf`	Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning. ICML Zongmeng Zhang, Yufeng Shi, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li
2024	J	`jnl`	Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning. CoRR Zongmeng Zhang, Yufeng Shi, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li
2023	A*	`conf`	BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. EMNLP Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
2023	J	`jnl`	BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. CoRR Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
2023	J	`jnl`	Breaking the barriers of data scarcity in drug-target affinity prediction. Briefings Bioinform. Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan
2023	A*	`conf`	Dual-view Molecular Pre-training. KDD Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
2023	A*	`conf`	FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023	J	`jnl`	FABind: Fast and Accurate Protein-Ligand Binding. CoRR Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023	A*	`conf`	Making Better Decision by Directly Planning in Continuous Control. ICLR Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
2023	J	`jnl`	Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li
2023	A*	`conf`	Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2023	J	`jnl`	R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
2023	A*	`conf`	𝒪-GNN: incorporating ring priors into molecular modeling. ICLR Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022	J	`jnl`	A study of BERT for context-aware neural machine translation. Mach. Learn. Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
2022	J	`jnl`	Back translation for molecule generation. Bioinform. Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
2022	J	`jnl`	Direct Molecular Conformation Generation. CoRR Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
2022	J	`jnl`	Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 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
2022	J	`jnl`	Discovering drug-target interaction knowledge from biomedical literature. Bioinform. Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2022	J	`jnl`	Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning. IEEE ACM Trans. Audio Speech Lang. Process. Bo Yang, Lijun Wu, Jinhua Zhu, Bo Shao, Xiaola Lin, Tie-Yan Liu
2022	J	`jnl`	SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu
2022	J	`jnl`	SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
2022	A*	`conf`	Unified 2D and 3D Pre-Training of Molecular Representations. KDD Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022	J	`jnl`	Unified 2D and 3D Pre-Training of Molecular Representations. CoRR Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021	J	`jnl`	Discovering Drug-Target Interaction Knowledge from Biomedical Literature. CoRR Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Dual-view Molecule Pre-training. CoRR Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021	A*	`conf`	IOT: Instance-wise Layer Reordering for Transformer Structures. ICLR Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021	J	`jnl`	IOT: Instance-wise Layer Reordering for Transformer Structures. CoRR Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021	A*	`conf`	Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	J	`jnl`	Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	—	`conf`	mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. IWSLT Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin
2020	A*	`conf`	Incorporating BERT into Neural Machine Translation. ICLR Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2020	J	`jnl`	Incorporating BERT into Neural Machine Translation. CoRR Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2020	J	`jnl`	Masked Contrastive Representation Learning for Reinforcement Learning. CoRR Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
2019	—	`conf`	Machine Translation With Weakly Paired Documents. EMNLP/IJCNLP (1) Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019	—	`conf`	Microsoft Research Asia's Systems for WMT19. WMT (2) Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2019	J	`jnl`	Microsoft Research Asia's Systems for WMT19. CoRR Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Normalization Helps Training of Quantized LSTM. NeurIPS Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu
2019	—	`conf`	Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu
2019	J	`jnl`	Soft Contextual Data Augmentation for Neural Machine Translation. CoRR Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu
2017	—	`conf`	Design and Analysis of a Novel Sucked-Type Underactuated Hand with Multiple Grasping Modes. RiTA Nan Lin, Peichen Wu, Xiao Tan, Jinhua Zhu, Zhenjiang Guo, Xinbo Qi, Xiaoping Chen