Sequence Prediction with Unlabeled Data by Reward Function Learning. - Lijun Wu 003; Li Zhao 007; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (IJCAI, 2017)

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. - Yingce Xia; Fei Tian; Lijun Wu 003; Jianxin Lin; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (NIPS, 2017)

Word Attention for Sequence to Sequence Text Understanding. - Lijun Wu 003; Fei Tian; Li Zhao 007; Jianhuang Lai; Tie-Yan Liu (AAAI, 2018)

Adversarial Neural Machine Translation. - Lijun Wu 003; Yingce Xia; Fei Tian; Li Zhao 007; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (ACML, 2018)

Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. - Lijun Wu 003; Xu Tan 003; Di He 001; Fei Tian; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP, 2018)

A Study of Reinforcement Learning for Neural Machine Translation. - Lijun Wu 003; Fei Tian; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP, 2018)

Efficient Sequence Learning with Group Recurrent Networks. - Fei Gao 018; Lijun Wu 003; Li Zhao 007; Tao Qin 001; Xueqi Cheng; Tie-Yan Liu (NAACL-HLT, 2018)

Learning to Teach with Dynamic Loss Functions. - Lijun Wu 003; Fei Tian; Yingce Xia; Yang Fan; Tao Qin 001; Jian-Huang Lai; Tie-Yan Liu (NeurIPS, 2018)

Achieving Human Parity on Automatic Chinese to English News Translation. - Hany Hassan; Anthony Aue; Chang Chen; Vishal Chowdhary; Jonathan Clark; Christian Federmann; Xuedong Huang 001; Marcin Junczys-Dowmunt; William Lewis; Mu Li 001; Shujie Liu 001; Tie-Yan Liu; et al. (CoRR, 2018)

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)

Depth Growing for Neural Machine Translation. - Lijun Wu 003; Yiren Wang; Yingce Xia; Fei Tian; Fei Gao 018; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (ACL (1), 2019)

Exploiting Monolingual Data at Scale for Neural Machine Translation. - Lijun Wu 003; Yiren Wang; Yingce Xia; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP/IJCNLP (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)

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)

Efficient Bidirectional Neural Machine Translation. - Xu Tan 003; Yingce Xia; Lijun Wu 003; Tao Qin 001 (CoRR, 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)

Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation. - Lijun Wu 003; Xu Tan 003; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Transductive Ensemble Learning for Neural Machine Translation. - Yiren Wang; Lijun Wu 003; Yingce Xia; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (AAAI, 2020)

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)

Sequence Generation with Mixed Representations. - Lijun Wu 003; Shufang Xie 003; Yingce Xia; Yang Fan; Jian-Huang Lai; Tao Qin 001; Tie-Yan Liu (ICML, 2020)

Multi-branch Attentive Transformer. - Yang Fan; Shufang Xie 003; Yingce Xia; Lijun Wu 003; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (CoRR, 2020)

Learning to Teach with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (CoRR, 2020)

Learn to Use Future Information in Simultaneous Translation. - Xueqing Wu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (CoRR, 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)

ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. - Hongshun Tang; Lijun Wu 003; Weiqing Liu; Jiang Bian 002 (CoRR, 2020)

Learning to Reweight with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001 (AAAI, 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)

Temporally Correlated Task Scheduling for Sequence Learning. - Xueqing Wu 001; Lewen Wang; Yingce Xia; Weiqing Liu; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (ICML, 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)

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. - Zhen Wu 002; Lijun Wu 003; Qi Meng; Yingce Xia; Shufang Xie 003; Tao Qin 001; Xinyu Dai; Tie-Yan Liu (NAACL-HLT, 2021)

R-Drop: Regularized Dropout for Neural Networks. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Yue Wang 039; Qi Meng; Tao Qin 001; Wei Chen 034; Min Zhang 005; Tie-Yan Liu (NeurIPS, 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)

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. - Liang He 010; Shizhuo Zhang; Lijun Wu 003; Huanhuan Xia; Fusong Ju; He Zhang; Siyuan Liu 005; Yingce Xia; Jianwei Zhu; Pan Deng; Bin Shao; Tao Qin 001; et al. (CoRR, 2021)

C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. - Chong Liu; Xiaoyang Liu; Rongqin Zheng; Lixin Zhang; Xiaobo Liang; Juntao Li; Lijun Wu 003; Min Zhang 005; Leyu Lin (CoRR, 2021)

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Min Zhang 005 (EMNLP, 2022)

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. - Zhaochen Su; Zecheng Tang; Xinyan Guan; Lijun Wu 003; Min Zhang 005; Juntao Li (EMNLP, 2022)

Target-Side Input Augmentation for Sequence to Sequence Generation. - Shufang Xie 003; Ang Lv; Yingce Xia; Lijun Wu 003; Tao Qin 001; Tie-Yan Liu; Rui Yan 001 (ICLR, 2022)

RetroGraph: Retrosynthetic Planning with Graph Search. - Shufang Xie 003; Rui Yan 001; Peng Han 005; Yingce Xia; Lijun Wu 003; Chenjuan Guo; Bin Yang 002; Tao Qin 001 (KDD, 2022)

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)

AF2: Adaptive Focus Framework for Aerial Imagery Segmentation. - Lin Huang; Qiyuan Dong; Lijun Wu 003; Jia Zhang 004; Jiang Bian 002; Tie-Yan Liu (CoRR, 2022)

Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. - Lin Huang; Lijun Wu 003; Jia Zhang 004; Jiang Bian 002; 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)

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. - Kehan Wu; Yingce Xia; Yang Fan; Pan Deng; Haiguang Liu; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Tao Qin 001; 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)

End-to-end entity-aware neural machine translation. - Shufang Xie 003; Yingce Xia; Lijun Wu 003; Yiqing Huang; Yang Fan; Tao Qin 001 (Mach. Learn., 2022)

Multi-Teacher Distillation With Single Model for Neural Machine Translation. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Tao Qin 001; Min Zhang 005; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 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)

Retrosynthesis Prediction with Local Template Retrieval. - Shufang Xie 003; Rui Yan 001; Junliang Guo; Yingce Xia; Lijun Wu 003; Tao Qin 001 (AAAI, 2023)

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. - Yisheng Xiao; Ruiyang Xu; Lijun Wu 003; Juntao Li; Tao Qin 001; Tie-Yan Liu; Min Zhang 005 (AAAI, 2023)

Dynamic and Efficient Inference for Text Generation via BERT Family. - Xiaobo Liang; Juntao Li; Lijun Wu 003; Ziqiang Cao; Min Zhang 005 (ACL (1), 2023)

MolXPT: Wrapping Molecules with Text for Generative Pre-training. - Zequn Liu; Wei Zhang; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Ming Zhang 004; Tie-Yan Liu (ACL (2), 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 003; Yingce Xia; Tao Qin 001; Howard Lee (CHIL, 2023)

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)

De Novo Molecular Generation via Connection-aware Motif Mining. - Zijie Geng; Shufang Xie 003; Yingce Xia; Lijun Wu 003; Tao Qin 001; Jie Wang 005; Yongdong Zhang 001; Feng Wu 001; Tie-Yan Liu (ICLR, 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)

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. - Chong Liu; Xiaoyang Liu; Rongqin Zheng; Lixin Zhang; Xiaobo Liang; Juntao Li; Lijun Wu 003; Min Zhang 005; Leyu Lin (KDD, 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)

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. - Yisheng Xiao; Ruiyang Xu; Lijun Wu 003; Juntao Li; Tao Qin 001; Yan-Tie Liu; Min Zhang 005 (CoRR, 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)

Incorporating NODE with pre-trained neural differential operator for learning dynamics. - Shiqi Gong; Qi Meng; Yue Wang 017; Lijun Wu 003; Wei Chen 034; Zhiming Ma; Tie-Yan Liu (Neurocomputing, 2023)

Are the BERT family zero-shot learners? A study on their potential and limitations. - Yue Wang 039; Lijun Wu 003; Juntao Li; Xiaobo Liang; Min Zhang 005 (Artif. 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)

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. - Yisheng Xiao; Lijun Wu 003; Junliang Guo; Juntao Li; Min Zhang 005; Tao Qin 001; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 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)

CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information. - Siun Kim; Jung-Hyun Won; David Seung U. Lee; Renqian Luo; Lijun Wu 003; Tao Qin 001; Howard Lee (EACL (Findings), 2024)

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. - Zun Wang; Chang Liu 030; Nianlong Zou; He Zhang; Xinran Wei; Lin Huang; Lijun Wu 003; Bin Shao (NeurIPS, 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)

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation. - Liang He 010; Peiran Jin; Yaosen Min; Shufang Xie 003; Lijun Wu 003; Tao Qin 001; Xiaozhuan Liang; Kaiyuan Gao; Yuliang Jiang; Tie-Yan Liu (CoRR, 2024)

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. - Kaiyuan Gao; Yusong Wang; Haoxiang Guan; Zun Wang; Qizhi Pei; John E. Hopcroft; Kun He 001; Lijun Wu 003 (CoRR, 2024)

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. - Xiaobo Liang; Runze Mao; Lijun Wu 003; Juntao Li; Min Zhang 005; Qing Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Randomness Regularization With Simple Consistency Training for Neural Networks. - Juntao Li; Xiaobo Liang; Lijun Wu 003; Yue Wang 039; Qi Meng; Tao Qin 001; Min Zhang 005; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge. - Yu Li 006; Qizhi Pei; Mengyuan Sun; Honglin Lin; Chenlin Ming; Xin Gao 001; Jiang Wu; Conghui He; Lijun Wu 003 (ACL (Findings), 2025)

MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion. - Qizhi Pei; Lijun Wu 003; Zhuoshi Pan; Yu Li 006; Honglin Lin; Chenlin Ming; Xin Gao 001; Conghui He; Rui Yan 001 (ACL (1), 2025)

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)

SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning. - Hongfei Wu; Lijun Wu 003; Guoqing Liu; Zhirong Liu; Bin Shao; Zun Wang (Trans. Mach. Learn. Res., 2025)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion. - Qizhi Pei; Lijun Wu 003; Zhuoshi Pan; Yu Li 006; Honglin Lin; Chenlin Ming; Xin Gao 001; Conghui He; Rui Yan 001 (CoRR, 2025)

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. - Yangzhe Peng; Kaiyuan Gao; Liang He 010; Yuheng Cong; Haiguang Liu; Kun He 001; Lijun Wu 003 (CoRR, 2025)

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning. - Yu Li 006; Zhuoshi Pan; Honglin Lin; Mengyuan Sun; Conghui He; Lijun Wu 003 (CoRR, 2025)