Lijun Wu - RankMe

154 papers A* 30A 1C 1Journal 97Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch. CoRR Zheng Liu, Honglin Lin, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu
2026	J	`jnl`	Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets. CoRR Xin Gao, Xiaoyang Wang, Yun Zhu, Mengzhang Cai, Conghui He, Lijun Wu
2026	J	`jnl`	LRAS: Advanced Legal Reasoning with Agentic Search. CoRR Yujin Zhou, Chuxue Cao, Jinluan Yang, Lijun Wu, Conghui He, Sirui Han, Yike Guo
2026	J	`jnl`	MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods. CoRR Honglin Lin, Zheng Liu, Yun Zhu, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang, Lijun Wu
2026	J	`jnl`	Molecular Identifier Visual Prompt and Verifiable Reinforcement Learning for Chemical Reaction Diagram Parsing. CoRR Jiahe Song, Chuang Wang, Yinfan Wang, Hao Zheng, Rui Nie, Bowen Jiang, Xingjian Wei, Junyuan Gao, Yubin Wang, Bin Wang, Lijun Wu, Jiang Wu, Qian Yu, Conghui He
2026	J	`jnl`	Parameter Inference and Uncertainty Quantification with Diffusion Models: Extending CDI to 2D Spatial Conditioning. CoRR Dmitrii Torbunov, Yihui Ren, Lijun Wu, Yimei Zhu
2026	J	`jnl`	Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification. CoRR Chuxue Cao, Jinluan Yang, Haoran Li, Kunhao Pan, Zijian Zhao, Zhe Chen, Yuchen Tian, Lijun Wu, Conghui He, Sirui Han, Yike Guo
2026	J	`jnl`	Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility. CoRR Honglin Lin, Chonghan Qin, Zheng Liu, Qizhi Pei, Yu Li, Zhanping Zhong, Xin Gao, Yanfeng Wang, Conghui He, Lijun Wu
2026	—	`conf`	Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. KDD (1) Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu
2026	J	`jnl`	Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training. CoRR Chuxue Cao, Honglin Lin, Zhanping Zhong, Xin Gao, Mengzhang Cai, Conghui He, Sirui Han, Lijun Wu
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`	A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis. CoRR Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He
2025	—	`conf`	A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis. ACL (1) Xin Gao, Qizhi Pei, Zinan Tang, Yu Li, Honglin Lin, Jiang Wu, Lijun Wu, Conghui He
2025	J	`jnl`	Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning. CoRR Yu Li, Zhuoshi Pan, Honglin Lin, Mengyuan Sun, Conghui He, Lijun Wu
2025	—	`conf`	CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge. ACL (Findings) Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao, Jiang Wu, Conghui He, Lijun Wu
2025	—	`conf`	CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. KDD (2) Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025	J	`jnl`	CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. CoRR Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025	—	`conf`	Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. ACL (1) Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He
2025	J	`jnl`	Efficient Reasoning for LLMs through Speculative Chain-of-Thought. CoRR Jikai Wang, Juntao Li, Lijun Wu, Min Zhang
2025	J	`jnl`	Evaluating Large Language Model with Knowledge Oriented Language Specific Simple Question Answering. CoRR Bowen Jiang, Runchuan Zhu, Jiang Wu, Zinco Jiang, Yifan He, Junyuan Gao, Jia Yu, Rui Min, Yinfan Wang, Haote Yang, Songyang Zhang, Dahua Lin, Lijun Wu, Conghui He
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	—	`conf`	GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. NAACL (Findings) Runchuan Zhu, Xinke Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He
2025	J	`jnl`	GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation. CoRR Runchuan Zhu, Zinco Jiang, Jiang Wu, Zhipeng Ma, Jiahe Song, Fengshuo Bai, Dahua Lin, Lijun Wu, Conghui He
2025	J	`jnl`	GTR-CoT: Graph Traversal as Visual Chain of Thought for Molecular Structure Recognition. CoRR Jingchao Wang, Haote Yang, Jiang Wu, Yifan He, Xingjian Wei, Yinfan Wang, Chengjin Liu, Lingli Ge, Lijun Wu, Bin Wang, Dahua Lin, Conghui He
2025	J	`jnl`	InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency. CoRR Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, Jingjing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo
2025	—	`conf`	LEMMA: Learning from Errors for MatheMatical Advancement in LLMs. ACL (Findings) Zhuoshi Pan, Yu Li, Honglin Lin, Qizhi Pei, Zinan Tang, Wei Wu, Chenlin Ming, H. Vicky Zhao, Conghui He, Lijun Wu
2025	J	`jnl`	LEMMA: Learning from Errors for MatheMatical Advancement in LLMs. CoRR Zhuoshi Pan, Yu Li, Honglin Lin, Qizhi Pei, Zinan Tang, Wei Wu, Chenlin Ming, H. Vicky Zhao, Conghui He, Lijun Wu
2025	J	`jnl`	MathFusion: Enhancing Mathematic Problem-solving of LLM through Instruction Fusion. CoRR Qizhi Pei, Lijun Wu, Zhuoshi Pan, Yu Li, Honglin Lin, Chenlin Ming, Xin Gao, Conghui He, Rui Yan
2025	—	`conf`	MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion. ACL (1) Qizhi Pei, Lijun Wu, Zhuoshi Pan, Yu Li, Honglin Lin, Chenlin Ming, Xin Gao, Conghui He, Rui Yan
2025	—	`conf`	MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer. EMNLP (Findings) Honglin Lin, Zhuoshi Pan, Qizhi Pei, Xin Gao, Yu Li, Mengzhang Cai, Conghui He, Lijun Wu
2025	A*	`conf`	Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning. EMNLP Zinan Tang, Xin Gao, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu, Conghui He, Lijun Wu
2025	J	`jnl`	Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning. CoRR Zinan Tang, Xin Gao, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu, Conghui He, Lijun Wu
2025	J	`jnl`	MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing. CoRR Junbo Niu, Zheng Liu, Zhuangcheng Gu, Bin Wang, Linke Ouyang, Zhiyuan Zhao, Tao Chu, Tianyao He, Fan Wu, Qintong Zhang, Zhenjiang Jin, Guang Liang, Rui Zhang, Wenzheng Zhang, Yuan Qu, Zhifei Ren, Yuefeng Sun, Yuanhong Zheng, Dongsheng Ma, Zirui Tang, Boyu Niu, Ziyang Miao, Hejun Dong, Siyi Qian, Junyuan Zhang, Jingzhou Chen, Fangdong Wang, Xiaomeng Zhao, Liqun Wei, Wei Li, Shasha Wang, Ruiliang Xu, Yuanyuan Cao, Lu Chen, Qianqian Wu, Huaiyu Gu, Lindong Lu, Keming Wang, Dechen Lin, Guanlin Shen, Xuanhe Zhou, Linfeng Zhang, Yuhang Zang, Xiaoyi Dong, Jiaqi Wang, Bo Zhang, Lei Bai, Pei Chu, Weijia Li, Jiang Wu, Lijun Wu, Zhenxiang Li, Guangyu Wang, Zhongying Tu, Chao Xu, Kai Chen, Yu Qiao, Bowen Zhou, Dahua Lin, Wentao Zhang, Conghui He
2025	J	`jnl`	NatureLM: Deciphering the Language of Nature for Scientific Discovery. CoRR Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin
2025	J	`jnl`	OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value. CoRR Mengzhang Cai, Xin Gao, Yu Li, Honglin Lin, Zheng Liu, Zhuoshi Pan, Qizhi Pei, Xiaoran Shang, Mengyuan Sun, Zinan Tang, Xiaoyang Wang, Zhanping Zhong, Yun Zhu, Dahua Lin, Conghui He, Lijun Wu
2025	—	`conf`	OpenHuEval: Evaluating Large Language Model on Hungarian Specifics. ACL (Findings) Haote Yang, Xingjian Wei, Jiang Wu, Noémi Ligeti-Nagy, Jiaxing Sun, Yinfan Wang, Zijian Gyozo Yang, Junyuan Gao, Jingchao Wang, Bowen Jiang, Shasha Wang, Nanjun Yu, Zihao Zhang, Shixin Hong, Hongwei Liu, Wei Li, Songyang Zhang, Dahua Lin, Lijun Wu, Gábor Prószéky, Conghui He
2025	J	`jnl`	OpenHuEval: Evaluating Large Language Model on Hungarian Specifics. CoRR Haote Yang, Xingjian Wei, Jiang Wu, Noémi Ligeti-Nagy, Jiaxing Sun, Yinfan Wang, Zijian Gyozo Yang, Junyuan Gao, Jingchao Wang, Bowen Jiang, Shasha Wang, Nanjun Yu, Zihao Zhang, Shixin Hong, Hongwei Liu, Wei Li, Songyang Zhang, Dahua Lin, Lijun Wu, Gábor Prószéky, Conghui He
2025	J	`jnl`	PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model. CoRR Junyuan Gao, Jiahe Song, Jiang Wu, Runchuan Zhu, Guanlin Shen, Shasha Wang, Xingjian Wei, Haote Yang, Songyang Zhang, Weijia Li, Bin Wang, Dahua Lin, Lijun Wu, Conghui He
2025	J	`jnl`	REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once. CoRR Zhuoshi Pan, Qizhi Pei, Yu Li, Qiyao Sun, Zinan Tang, H. Vicky Zhao, Conghui He, Lijun Wu
2025	J	`jnl`	Revisiting Long-context Modeling from Context Denoising Perspective. CoRR Zecheng Tang, Baibei Ji, Juntao Li, Lijun Wu, Haijia Gui, Min Zhang
2025	J	`jnl`	RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning. CoRR Jiahe Song, Chuang Wang, Bowen Jiang, Yinfan Wang, Hao Zheng, Xingjian Wei, Chengjin Liu, Junyuan Gao, Yubin Wang, Lijun Wu, Jiang Wu, Qian Yu, Conghui He
2025	J	`jnl`	SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning. Trans. Mach. Learn. Res. Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang
2025	J	`jnl`	ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning. CoRR Qizhi Pei, Zhuoshi Pan, Honglin Lin, Xin Gao, Yu Li, Zinan Tang, Conghui He, Rui Yan, Lijun Wu
2025	J	`jnl`	Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning. CoRR Honglin Lin, Qizhi Pei, Xin Gao, Zhuoshi Pan, Yu Li, Juntao Li, Conghui He, Lijun Wu
2025	J	`jnl`	Sequential Diffusion Language Models. CoRR Yangzhou Liu, Yue Cao, Hao Li, Gen Luo, Zhe Chen, Weiyun Wang, Xiaobo Liang, Biqing Qi, Lijun Wu, Changyao Tian, Yanting Zhang, Yuqiang Li, Tong Lu, Yu Qiao, Jifeng Dai, Wenhai Wang
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`	CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information. EACL (Findings) Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Tao Qin, Howard Lee
2024	J	`jnl`	Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. IEEE ACM Trans. Audio Speech Lang. Process. Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing 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	A*	`conf`	Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. NeurIPS Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
2024	J	`jnl`	Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. CoRR Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
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	J	`jnl`	Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He
2024	J	`jnl`	Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu
2024	J	`jnl`	SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning. CoRR Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang
2024	J	`jnl`	SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation. CoRR Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu
2024	J	`jnl`	Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. CoRR Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu
2023	J	`jnl`	A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu
2023	A*	`conf`	AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. AAAI Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang
2023	J	`jnl`	AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. CoRR Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Yan-Tie Liu, Min Zhang
2023	J	`jnl`	Are the BERT family zero-shot learners? A study on their potential and limitations. Artif. Intell. Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang
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`	CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
2023	A*	`conf`	De Novo Molecular Generation via Connection-aware Motif Mining. ICLR Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
2023	J	`jnl`	De Novo Molecular Generation via Connection-aware Motif Mining. CoRR Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
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	—	`conf`	Dynamic and Efficient Inference for Text Generation via BERT Family. ACL (1) Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang
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	J	`jnl`	Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu
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	—	`conf`	MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
2023	J	`jnl`	MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
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`	Retrosynthesis Prediction with Local Template Retrieval. AAAI Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
2023	J	`jnl`	Retrosynthesis Prediction with Local Template Retrieval. CoRR Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
2023	—	`conf`	Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee
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 Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, 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`	AF CoRR Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
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`	Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. CoRR Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
2022	J	`jnl`	End-to-end entity-aware neural machine translation. Mach. Learn. Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin
2022	A*	`conf`	Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. EMNLP Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li
2022	J	`jnl`	Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. CoRR Zhaochen Su, Zecheng Tang, Xinyan Guan, Juntao Li, Lijun Wu, Min Zhang
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	A*	`conf`	JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. EMNLP Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang
2022	J	`jnl`	Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, 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	A*	`conf`	RetroGraph: Retrosynthetic Planning with Graph Search. KDD Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022	J	`jnl`	RetroGraph: Retrosynthetic Planning with Graph Search. CoRR Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
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	J	`jnl`	Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. CoRR Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu
2022	A*	`conf`	Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan
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`	C CoRR Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
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	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	J	`jnl`	Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2021	A*	`conf`	Learning to Reweight with Deep Interactions. AAAI Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
2021	J	`jnl`	Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. CoRR Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	R-Drop: Regularized Dropout for Neural Networks. NeurIPS Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
2021	J	`jnl`	R-Drop: Regularized Dropout for Neural Networks. CoRR Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
2021	A*	`conf`	Temporally Correlated Task Scheduling for Sequence Learning. ICML Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu
2021	—	`conf`	UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
2021	J	`jnl`	UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, 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	J	`jnl`	ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. CoRR Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian
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`	Learn to Use Future Information in Simultaneous Translation. CoRR Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
2020	J	`jnl`	Learning to Teach with Deep Interactions. CoRR Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang 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
2020	J	`jnl`	Multi-branch Attentive Transformer. CoRR Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020	A*	`conf`	Sequence Generation with Mixed Representations. ICML Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu
2020	A*	`conf`	Transductive Ensemble Learning for Neural Machine Translation. AAAI Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019	J	`jnl`	Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation. IEEE ACM Trans. Audio Speech Lang. Process. Lijun Wu, Xu Tan, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019	—	`conf`	Depth Growing for Neural Machine Translation. ACL (1) Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019	J	`jnl`	Depth Growing for Neural Machine Translation. CoRR Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019	J	`jnl`	Efficient Bidirectional Neural Machine Translation. CoRR Xu Tan, Yingce Xia, Lijun Wu, Tao Qin
2019	—	`conf`	Exploiting Monolingual Data at Scale for Neural Machine Translation. EMNLP/IJCNLP (1) Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu
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	—	`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
2018	A*	`conf`	A Study of Reinforcement Learning for Neural Machine Translation. EMNLP Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	J	`jnl`	A Study of Reinforcement Learning for Neural Machine Translation. CoRR Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	J	`jnl`	Achieving Human Parity on Automatic Chinese to English News Translation. CoRR Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou
2018	C	`conf`	Adversarial Neural Machine Translation. ACML Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	A*	`conf`	Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. EMNLP Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	J	`jnl`	Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. CoRR Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	—	`conf`	Efficient Sequence Learning with Group Recurrent Networks. NAACL-HLT Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu
2018	A*	`conf`	Learning to Teach with Dynamic Loss Functions. NeurIPS Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu
2018	J	`jnl`	Learning to Teach with Dynamic Loss Functions. CoRR Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018	A*	`conf`	Word Attention for Sequence to Sequence Text Understanding. AAAI Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu
2017	J	`jnl`	Adversarial Neural Machine Translation. CoRR Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2017	—	`conf`	Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. NIPS Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017	A*	`conf`	Sequence Prediction with Unlabeled Data by Reward Function Learning. IJCAI Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu