Design and Analysis of a Novel Sucked-Type Underactuated Hand with Multiple Grasping Modes. - Nan Lin; Peichen Wu; Xiao Tan; Jinhua Zhu 001; Zhenjiang Guo; Xinbo Qi; Xiaoping Chen (RiTA, 2017)

Soft Contextual Data Augmentation for Neural Machine Translation. - Fei Gao 018; Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Tao Qin 001; Xueqi Cheng; Wengang Zhou 001; Tie-Yan Liu (ACL (1), 2019)

Machine Translation With Weakly Paired Documents. - Lijun Wu 003; Jinhua Zhu 001; Di He 001; Fei Gao 018; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Normalization Helps Training of Quantized LSTM. - Lu Hou 002; Jinhua Zhu 001; James T. Kwok; Fei Gao 018; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Di He 001; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; et al. (WMT (2), 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; Jinhua Zhu 001; et al. (CoRR, 2019)

Incorporating BERT into Neural Machine Translation. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Di He 001; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2020)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Houqiang Li (CoRR, 2020)

Return-Based Contrastive Representation Learning for Reinforcement Learning. - Guoqing Liu; Chuheng Zhang; Li Zhao 007; Tao Qin 001; Jinhua Zhu 001; Jian Li 015; Nenghai Yu; Tie-Yan Liu (ICLR, 2021)

IOT: Instance-wise Layer Reordering for Transformer Structures. - Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2021)

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Yang Fan; Tao Qin 001 (IWSLT, 2021)

Dual-view Molecule Pre-training. - Jinhua Zhu 001; Yingce Xia; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (CoRR, 2021)

Discovering Drug-Target Interaction Knowledge from Biomedical Literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Wanxiang Che; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

Unified 2D and 3D Pre-Training of Molecular Representations. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (KDD, 2022)

SPRoBERTa: protein embedding learning with local fragment modeling. - Lijun Wu 003; Chengcan Yin; Jinhua Zhu 001; Zhen Wu 002; Liang He 010; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2022)

Back translation for molecule generation. - Yang Fan; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Bioinform., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Yusong Wang; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (CoRR, 2022)

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu (CoRR, 2022)

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (CoRR, 2022)

A study of BERT for context-aware neural machine translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Mach. Learn., 2022)

Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning. - Bo Yang; Lijun Wu 003; Jinhua Zhu 001; Bo Shao; Xiaola Lin; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Yusong Wang; Tong Wang 014; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Haiguang Liu; Tie-Yan Liu (Trans. Mach. Learn. Res., 2022)

Discovering drug-target interaction knowledge from biomedical literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Tao Qin 001; Tie-Yan Liu (Bioinform., 2022)

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. - Qizhi Pei; Wei Zhang; Jinhua Zhu 001; Kehan Wu; Kaiyuan Gao; Lijun Wu 003; Yingce Xia; Rui Yan 001 (EMNLP, 2023)

Making Better Decision by Directly Planning in Continuous Control. - Jinhua Zhu 001; Yue Wang 017; Lijun Wu 003; Tao Qin 001; Wengang Zhou 001; Tie-Yan Liu; Houqiang Li (ICLR, 2023)

𝒪-GNN: incorporating ring priors into molecular modeling. - Jinhua Zhu 001; Kehan Wu; Bohan Wang; Yingce Xia; Shufang Xie 003; Qi Meng; Lijun Wu 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2023)

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (KDD, 2023)

Dual-view Molecular Pre-training. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (KDD, 2023)

FABind: Fast and Accurate Protein-Ligand Binding. - Qizhi Pei; Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Kun He 001; Tie-Yan Liu; Rui Yan 001 (NeurIPS, 2023)

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. - Jiacheng Lin; Lijun Wu 003; Jinhua Zhu 001; Xiaobo Liang; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2023)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Tie-Yan Liu; Houqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Breaking the barriers of data scarcity in drug-target affinity prediction. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu; Rui Yan 001 (Briefings Bioinform., 2023)

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. - Qizhi Pei; Lijun Wu 003; Kaiyuan Gao; Xiaozhuan Liang; Yin Fang; Jinhua Zhu 001; Shufang Xie 003; Tao Qin 001; Rui Yan 001 (ACL (Findings), 2024)

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. - Qizhi Pei; Lijun Wu 003; Zhenyu He 012; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Rui Yan 001 (CIKM, 2024)

BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? - Zongmeng Zhang; Jinhua Zhu 001; Wengang Zhou 001; Xiang Qi; Peng Zhang 080; Houqiang Li (EMNLP (Findings), 2024)

Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning. - Zongmeng Zhang; Yufeng Shi; Jinhua Zhu 001; Wengang Zhou 001; Xiang Qi; Peng Zhang 080; Houqiang Li (ICML, 2024)

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. - Qizhi Pei; Lijun Wu 003; Kaiyuan Gao; Jinhua Zhu 001; Yue Wang 017; Zun Wang; Tao Qin 001; Rui Yan 001 (CoRR, 2024)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. - Kaiyuan Gao; Qizhi Pei; Jinhua Zhu 001; Tao Qin 001; Kun He 001; Lijun Wu 003 (CoRR, 2024)

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization. - Qizhi Pei; Lijun Wu 003; Kaiyuan Gao; Jinhua Zhu 001; Rui Yan 001 (CoRR, 2024)

3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling. - Qizhi Pei; Rui Yan 001; Kaiyuan Gao; Jinhua Zhu 001; Lijun Wu 003 (ICLR, 2025)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. - Kaiyuan Gao; Qizhi Pei; Gongbo Zhang; Jinhua Zhu 001; Kun He 001; Lijun Wu 003 (KDD (1), 2025)

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling. - Jianfeng Cai 008; Jinhua Zhu 001; Ruopei Sun; Yue Wang 017; Li Li 040; Wengang Zhou 001; Houqiang Li (CoRR, 2025)

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. - Xuerui Su; Yue Wang 017; Jinhua Zhu 001; Mingyang Yi; Feng Xu; Zhiming Ma; Yuting Liu 002 (CoRR, 2025)

Bias Fitting to Mitigate Length Bias of Reward Model in RLHF. - Kangwen Zhao; Jianfeng Cai 008; Jinhua Zhu 001; Ruopei Sun; Dongyun Xue; Wengang Zhou 001; Li Li 040; Houqiang Li (CoRR, 2025)

Multi-Level Aware Preference Learning: Enhancing RLHF for Complex Multi-Instruction Tasks. - Ruopei Sun; Jianfeng Cai 008; Jinhua Zhu 001; Kangwen Zhao; Dongyun Xue; Wengang Zhou 001; Li Li 040; Houqiang Li (CoRR, 2025)

RESIST: Rationale-Enhanced and Reward Model-Based End-to-End Social Influence Dialogue System. - Tong Wu; Jinhua Zhu 001; Wengang Zhou 001; Houqiang Li (ACM Trans. Multim. Comput. Commun. Appl., 2025)