Wu, Lijun

35 publications

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

AAAI 2025 AgentMixer: Multi-Agent Correlated Policy Factorization Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

IJCAI 2025 Explainable Graph Neural Networks via Structural Externalities Lijun Wu, Dong Hao, Zhiyi Fan

ICLR 2025 Fast and Accurate Blind Flexible Docking Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han

ICLR 2025 Hot-Pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

TMLR 2025 SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang

NeurIPS 2025 Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning Honglin Lin, Qizhi Pei, Zhuoshi Pan, Yu Li, Xin Gao, Juntao Li, Conghui He, Lijun Wu

AAAI 2024 Backpropagation Through Agents Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

NeurIPSW 2024 Hot Pluggable Federated Learning Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

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

AAAI 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang

ICLR 2023 De Novo Molecular Generation via Connection-Aware Motif Mining Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, 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

AAAI 2023 Retrosynthesis Prediction with Local Template Retrieval Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

CHIL 2023 Revisiting Machine-Learning Based Drug Repurposing: Drug Indications Are Not a Right Prediction Target Siun Kim, Jung-Hyun Won, David Seung U Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee

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

MLJ 2022 End-to-End Entity-Aware Neural Machine Translation Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin

ICLR 2022 Target-Side Input Augmentation for Sequence to Sequence Generation Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan

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

NeurIPS 2021 Learning from Inside: Self-Driven Siamese Sampling and Reasoning for Video Question Answering Weijiang Yu, Haoteng Zheng, Mengfei Li, Lei Ji, Lijun Wu, Nong Xiao, Nan Duan

AAAI 2021 Learning to Reweight with Deep Interactions Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

NeurIPS 2021 R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

ICML 2021 Temporally Correlated Task Scheduling for Sequence Learning Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu

NeurIPS 2020 Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

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

ICML 2020 Sequence Generation with Mixed Representations Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tieyan Liu

AAAI 2020 Transductive Ensemble Learning for Neural Machine Translation Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

ACML 2018 Adversarial Neural Machine Translation Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

NeurIPS 2018 Learning to Teach with Dynamic Loss Functions Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Lai Jian-Huang, Tie-Yan Liu

AAAI 2018 Word Attention for Sequence to Sequence Text Understanding Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu

NeurIPS 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

IJCAI 2017 Sequence Prediction with Unlabeled Data by Reward Function Learning Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu