Jinhua Zhu

According to our database, Jinhua Zhu authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan

CoRR, 2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language?

Zongmeng Zhang, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.

Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Breaking the barriers of data scarcity in drug-target affinity prediction.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan

Briefings Bioinform., September, 2023

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.

Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., January, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-view Molecular Pre-training.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Discovering drug-target interaction knowledge from biomedical literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu

Bioinform., November, 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

Trans. Mach. Learn. Res., 2022

Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning.

Bo Yang, Lijun Wu, Jinhua Zhu, Bo Shao, Xiaola Lin, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

A study of BERT for context-aware neural machine translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Mach. Learn., 2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

CoRR, 2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu

CoRR, 2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

CoRR, 2022

Back translation for molecule generation.

Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Bioinform., 2022

SPRoBERTa: protein embedding learning with local fragment modeling.

Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., 2022

Unified 2D and 3D Pre-Training of Molecular Representations.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu

CoRR, 2021

Dual-view Molecule Pre-training.

Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

CoRR, 2021

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin

Proceedings of the 18th International Conference on Spoken Language Translation, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Return-Based Contrastive Representation Learning for Reinforcement Learning.

Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li

CoRR, 2020

Incorporating BERT into Neural Machine Translation.

Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Microsoft Research Asia's Systems for WMT19.

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

CoRR, 2019

Microsoft Research Asia's Systems for WMT19.

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

Proceedings of the Fourth Conference on Machine Translation, 2019

Normalization Helps Training of Quantized LSTM.

Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Machine Translation With Weakly Paired Documents.

Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Soft Contextual Data Augmentation for Neural Machine Translation.

Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Design and Analysis of a Novel Sucked-Type Underactuated Hand with Multiple Grasping Modes.

Nan Lin, Peichen Wu, Xiao Tan, Jinhua Zhu, Zhenjiang Guo, Xinbo Qi, Xiaoping Chen

Proceedings of the Robot Intelligence Technology and Applications 5, 2017