Tao Qin - RankMe

436 papers A* 122A 23B 4C 7Misc 5Journal 227Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization. CoRR Zequn Liu, Kehan Wu, Shufang Xie, Zekun Guo, Wei Zhang, Tao Qin, Renhe Liu, Yingce Xia
2026	J	`jnl`	Scalable Machine Learning Force Fields for Macromolecular Systems Through Long-Range Aware Message Passing. CoRR Chu Wang, Lin Huang, Xinran Wei, Tao Qin, Arthur Jiang, Lixue Cheng, Jia Zhang
2026	J	`jnl`	TIDE: Trajectory-based Diagnostic Evaluation of Test-Time Improvement in LLM Agents. CoRR Hang Yan, Xinyu Che, Fangzhi Xu, Qiushi Sun, Zichen Ding, Kanzhi Cheng, Jian Zhang, Tao Qin, Jun Liu, Qika Lin
2025	J	`jnl`	Chain-of-Model Learning for Language Model. CoRR Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
2025	J	`jnl`	E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. CoRR Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin
2025	J	`jnl`	HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model. CoRR Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin
2025	J	`jnl`	MIN: Multi-Channel Interaction Network for Drug-Target Interaction With Protein Distillation. IEEE Trans. Comput. Biol. Bioinform. Shuqi Li, Shufang Xie, Hongda Sun, Yuhan Chen, Tao Qin, Tianjun Ke, Rui Yan
2025	J	`jnl`	MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design. CoRR Wei Zhang, Zekun Guo, Yingce Xia, Peiran Jin, Shufang Xie, Tao Qin, Xiang-Yang Li
2025	J	`jnl`	MoonCast: High-Quality Zero-Shot Podcast Generation. CoRR Zeqian Ju, Dongchao Yang, Jianwei Yu, Kai Shen, Yichong Leng, Zhengtao Wang, Xu Tan, Xinyu Zhou, Tao Qin, Xiangyang Li
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`	Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. Trans. Mach. Learn. Res. Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu, Tao Qin
2025	J	`jnl`	UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. CoRR Gongbo Zhang, Yanting Li, Renqian Luo, Pipi Hu, Zeru Zhao, Lingbo Li, Guoqing Liu, Zun Wang, Ran Bi, Kaiyuan Gao, Liya Guo, Yu Xie, Chang Liu, Jia Zhang, Tian Xie, Robert Pinsler, Claudio Zeni, Ziheng Lu, Yingce Xia, Marwin H. S. Segler, Maik Riechert, Li Yuan, Lei Chen, Haiguang Liu, Tao Qin
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`	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	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`	MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation. CoRR Shuqi Li, Shufang Xie, Hongda Sun, Yuhan Chen, Tao Qin, Tianjun Ke, Rui Yan
2024	A*	`conf`	NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. ICLR Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
2024	A*	`conf`	NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. ICML Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
2024	J	`jnl`	NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. CoRR Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao
2024	J	`jnl`	NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. IEEE Trans. Pattern Anal. Mach. Intell. Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Sheng Zhao, Tao Qin, Frank K. Soong, Tie-Yan Liu
2024	J	`jnl`	Personalized Federated Learning With Adaptive Batchnorm for Healthcare. IEEE Trans. Big Data Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin
2024	A*	`conf`	Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. NeurIPS Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024	J	`jnl`	Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. CoRR Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
2024	A*	`conf`	PromptTTS 2: Describing and Generating Voices with Text Prompt. ICLR Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiangyang Li, Sheng Zhao, Tao Qin, Jiang Bian
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	A*	`conf`	Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. IJCAI Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan
2024	A*	`conf`	Regeneration Learning: A Learning Paradigm for Data Generation. AAAI Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
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
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`	Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin
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	J	`jnl`	Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz
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`	Extract and Attend: Improving Entity Translation in Neural Machine Translation. ACL (Findings) Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu
2023	J	`jnl`	Extract and Attend: Improving Entity Translation in Neural Machine Translation. CoRR Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu
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`	Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu
2023	J	`jnl`	MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang
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	J	`jnl`	N-Gram Nearest Neighbor Machine Translation. CoRR Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin
2023	J	`jnl`	NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. CoRR Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
2023	A*	`conf`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
2023	J	`jnl`	Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian
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`	PromptTTS 2: Describing and Generating Voices with Text Prompt. CoRR Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian
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	J	`jnl`	Regeneration Learning: A Learning Paradigm for Data Generation. CoRR Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
2023	J	`jnl`	ResiDual: Transformer with Dual Residual Connections. CoRR Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan
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	A*	`conf`	Retrosynthetic Planning with Dual Value Networks. ICML Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
2023	J	`jnl`	Retrosynthetic Planning with Dual Value Networks. CoRR Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
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`	SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. AAAI Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
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	—	`conf`	A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, 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	A	`conf`	AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. INTERSPEECH Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. CoRR Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. CoRR Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin
2022	A*	`conf`	An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. NeurIPS Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
2022	J	`jnl`	An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. CoRR Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
2022	A*	`conf`	Analyzing and Mitigating Interference in Neural Architecture Search. ICML Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
2022	J	`jnl`	Back translation for molecule generation. Bioinform. Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
2022	A*	`conf`	BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
2022	J	`jnl`	BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
2022	J	`jnl`	BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations. CoRR Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan Awadalla
2022	—	`conf`	Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations. NAACL-HLT Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan
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`	End-to-end entity-aware neural machine translation. Mach. Learn. Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin
2022	J	`jnl`	Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2022	J	`jnl`	Image-to-Image Translation: Methods and Applications. IEEE Trans. Multim. Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen
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	C	`conf`	Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoG Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
2022	J	`jnl`	Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoRR Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
2022	—	`conf`	MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. ISMIR Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu
2022	J	`jnl`	MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. CoRR Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu
2022	A	`conf`	Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech. INTERSPEECH Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
2022	J	`jnl`	Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech. CoRR Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao
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	A*	`conf`	Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. NeurIPS Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. CoRR Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
2022	J	`jnl`	NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality. CoRR Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Frank K. Soong, Tao Qin, Sheng Zhao, Tie-Yan Liu
2022	—	`conf`	PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. ISMIR Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang
2022	A*	`conf`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2022	J	`jnl`	Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. CoRR Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan
2022	A*	`conf`	ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. ACM Multimedia Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang
2022	J	`jnl`	ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. CoRR Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang
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	—	`conf`	Revisiting Over-Smoothness in Text to Speech. ACL (1) Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
2022	J	`jnl`	Revisiting Over-Smoothness in Text to Speech. CoRR Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
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`	SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. CoRR Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
2022	A*	`conf`	Supervised Off-Policy Ranking. ICML Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu
2022	A*	`conf`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022	J	`jnl`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan 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`	TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. EMNLP Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiang-Yang Li, Tao Qin, Tie-Yan Liu
2022	A*	`conf`	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. NeurIPS Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
2022	J	`jnl`	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. CoRR Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
2022	A*	`conf`	Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. ICLR Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
2022	J	`jnl`	Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. CoRR Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
2022	A*	`conf`	Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. NeurIPS Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
2022	J	`jnl`	Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. CoRR Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
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
2022	J	`jnl`	You May Not Need Ratio Clipping in PPO. CoRR Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
2021	A*	`conf`	A Survey on Low-Resource Neural Machine Translation. IJCAI Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	A Survey on Low-Resource Neural Machine Translation. CoRR Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	A Survey on Neural Speech Synthesis. CoRR Xu Tan, Tao Qin, Frank K. Soong, Tie-Yan Liu
2021	A	`conf`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	J	`jnl`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	J	`jnl`	AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data. CoRR Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu
2021	J	`jnl`	AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style. CoRR Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu
2021	A*	`conf`	AdaSpeech: Adaptive Text to Speech for Custom Voice. ICLR Mingjian Chen, Xu Tan, Bohan Li, Yanqing Liu, Tao Qin, Sheng Zhao, Tie-Yan Liu
2021	J	`jnl`	AdaSpeech: Adaptive Text to Speech for Custom Voice. CoRR Mingjian Chen, Xu Tan, Bohan Li, Yanqing Liu, Tao Qin, Sheng Zhao, Tie-Yan Liu
2021	A	`conf`	Adaptive Text to Speech for Spontaneous Style. Interspeech Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu
2021	Misc	`conf`	Adaspeech 2: Adaptive Text to Speech with Untranscribed Data. ICASSP Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu
2021	J	`jnl`	Analyzing and Mitigating Interference in Neural Architecture Search. CoRR Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
2021	A	`conf`	Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. Interspeech Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki
2021	J	`jnl`	Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching. CoRR Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki
2021	—	`conf`	DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. ACL/IJCNLP (1) Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
2021	J	`jnl`	DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. CoRR Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu
2021	J	`jnl`	Demonstration actor critic. Neurocomputing Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2021	Misc	`conf`	Denoispeech: Denoising Text to Speech with Frame-Level Noise Modeling. ICASSP Chen Zhang, Yi Ren, Xu Tan, Jinglin Liu, Kejun Zhang, Tao Qin, Sheng Zhao, Tie-Yan Liu
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`	Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. NeurIPS Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. CoRR Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2021	J	`jnl`	Dual-view Molecule Pre-training. CoRR Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021	J	`jnl`	Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki
2021	J	`jnl`	Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo
2021	—	`conf`	FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. EMNLP (Findings) Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Wenjie Liu, Linquan Liu, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
2021	J	`jnl`	FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. CoRR Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu
2021	A*	`conf`	FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. NeurIPS Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiangyang Li, Edward Lin, Tie-Yan Liu
2021	J	`jnl`	FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. CoRR Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu
2021	A*	`conf`	FastSpeech 2: Fast and High-Quality End-to-End Text to Speech. ICLR Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2021	J	`jnl`	Federated Learning with Adaptive Batchnorm for Personalized Healthcare. CoRR Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin
2021	A*	`conf`	Generalizing to Unseen Domains: A Survey on Domain Generalization. IJCAI Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin
2021	J	`jnl`	Generalizing to Unseen Domains: A Survey on Domain Generalization. CoRR Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin
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`	Image-to-Image Translation: Methods and Applications. CoRR Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen
2021	A*	`conf`	Independence-aware Advantage Estimation. IJCAI Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang
2021	A*	`conf`	Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Learning Invariant Representations across Domains and Tasks. CoRR Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Learning Structures for Deep Neural Networks. CoRR Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, 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`	LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu
2021	Misc	`conf`	Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. ICASSP Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu
2021	Misc	`conf`	MBNET: MOS Prediction for Synthesized Speech with Mean-Bias Network. ICASSP Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiang-Yang Li, Tao Qin
2021	J	`jnl`	MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network. CoRR Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiangyang Li, Tao Qin
2021	Misc	`conf`	MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. ICASSP Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
2021	J	`jnl`	MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition. CoRR Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu
2021	—	`conf`	MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training. ACL/IJCNLP (Findings) Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training. CoRR Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. KDD Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. CoRR Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021	J	`jnl`	Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu
2021	A*	`conf`	On the Generative Utility of Cyclic Conditionals. NeurIPS Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu
2021	J	`jnl`	On the Generative Utility of Cyclic Conditionals. CoRR Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu
2021	J	`jnl`	PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. CoRR Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang
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	J	`jnl`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, 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`	Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu
2021	A*	`conf`	Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	J	`jnl`	Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu
2021	A*	`conf`	SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. AAAI Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin
2021	A*	`conf`	Speech-T: Transducer for Text to Speech and Beyond. NeurIPS Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Supervised Off-Policy Ranking. CoRR Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu
2021	J	`jnl`	TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. CoRR Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, 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	A*	`conf`	Towards Generating Real-World Time Series Data. ICDM Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2021	J	`jnl`	Towards Generating Real-World Time Series Data. CoRR Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2021	A*	`conf`	UWSpeech: Speech to Speech Translation for Unwritten Languages. AAAI Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, 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	A*	`conf`	DeepSinger: Singing Voice Synthesis with Data Mined From the Web. KDD Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	DeepSinger: Singing Voice Synthesis with Data Mined From the Web. CoRR Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	DenoiSpeech: Denoising Text to Speech with Frame-Level Noise Modeling. CoRR Chen Zhang, Yi Ren, Xu Tan, Jinglin Liu, Kejun Zhang, Tao Qin, Sheng Zhao, Tie-Yan Liu
2020	C	`conf`	Dual Learning: Theoretical Study and an Algorithmic Extension. ACML Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2020	J	`jnl`	Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2020	A*	`conf`	DualLip: A System for Joint Lip Reading and Generation. ACM Multimedia Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
2020	J	`jnl`	DualLip: A System for Joint Lip Reading and Generation. CoRR Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
2020	J	`jnl`	FastSpeech 2: Fast and High-Quality End-to-End Text to Speech. CoRR Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2020	A*	`conf`	Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
2020	J	`jnl`	HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis. CoRR Jiawei Chen, Xu Tan, Jian Luan, Tao Qin, Tie-Yan Liu
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`	Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu
2020	J	`jnl`	Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang
2020	A*	`conf`	LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. KDD Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
2020	J	`jnl`	LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. CoRR Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu
2020	J	`jnl`	Latent Causal Invariant Model. CoRR Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, 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 Causal Semantic Representation for Out-of-Distribution Prediction. CoRR Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
2020	J	`jnl`	Learning to Match Distributions for Domain Adaptation. CoRR Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, 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`	LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. CoRR Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu
2020	A*	`conf`	MPNet: Masked and Permuted Pre-training for Language Understanding. NeurIPS Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
2020	J	`jnl`	MPNet: Masked and Permuted Pre-training for Language Understanding. CoRR Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, 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`	MultiSpeech: Multi-Speaker Text to Speech with Transformer. INTERSPEECH Mingjian Chen, Xu Tan, Yi Ren, Jin Xu, Hao Sun, Sheng Zhao, Tao Qin
2020	J	`jnl`	MultiSpeech: Multi-Speaker Text to Speech with Transformer. CoRR Mingjian Chen, Xu Tan, Yi Ren, Jin Xu, Hao Sun, Sheng Zhao, Tao Qin
2020	J	`jnl`	Neural Architecture Search with GBDT. CoRR Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu
2020	A*	`conf`	PopMAG: Pop Music Accompaniment Generation. ACM Multimedia Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	PopMAG: Pop Music Accompaniment Generation. CoRR Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
2020	A*	`conf`	RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu
2020	J	`jnl`	Searching Better Architectures for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020	A*	`conf`	Semi-Supervised Neural Architecture Search. NeurIPS Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu
2020	J	`jnl`	Semi-Supervised Neural Architecture Search. CoRR Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, 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`	SimulSpeech: End-to-End Simultaneous Speech to Text Translation. ACL Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. CoRR Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin
2020	J	`jnl`	Suphx: Mastering Mahjong with Deep Reinforcement Learning. CoRR Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
2020	A*	`conf`	Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. IJCAI Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
2020	—	`conf`	Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang
2020	J	`jnl`	Towards Interpretable Reasoning over Paragraph Effects in Situation. CoRR Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang
2020	A*	`conf`	Transductive Ensemble Learning for Neural Machine Translation. AAAI Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2020	J	`jnl`	UWSpeech: Speech to Speech Translation for Unwritten Languages. CoRR Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu
2019	J	`jnl`	A Study of Multilingual Neural Machine Translation. CoRR Xu Tan, Yichong Leng, Jiale Chen, Yi Ren, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Almost Unsupervised Text to Speech and Automatic Speech Recognition. ICML Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	Almost Unsupervised Text to Speech and Automatic Speech Recognition. CoRR Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, 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	A	`conf`	Competitive Bridge Bidding with Deep Neural Networks. AAMAS Jiang Rong, Tao Qin, Bo An
2019	J	`jnl`	Competitive Bridge Bidding with Deep Neural Networks. CoRR Jiang Rong, Tao Qin, Bo An
2019	J	`jnl`	Competitive Cloud Pricing for Long-Term Revenue Maximization. J. Comput. Sci. Technol. Jiang Rong, Tao Qin, Bo An
2019	A*	`conf`	Deliberation Learning for Image-to-Image Translation. IJCAI Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen
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	A*	`conf`	Distributional Reward Decomposition for Reinforcement Learning. NeurIPS Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang
2019	J	`jnl`	Distributional Reward Decomposition for Reinforcement Learning. CoRR Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu
2019	J	`jnl`	Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. CoRR Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang
2019	J	`jnl`	Efficient Bidirectional Neural Machine Translation. CoRR Xu Tan, Yingce Xia, Lijun Wu, Tao Qin
2019	A*	`conf`	Efficient Training of BERT by Progressively Stacking. ICML Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu
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	A*	`conf`	FastSpeech: Fast, Robust and Controllable Text to Speech. NeurIPS Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	FastSpeech: Fast, Robust and Controllable Text to Speech. CoRR Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
2019	A*	`conf`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. NeurIPS Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	J	`jnl`	Fully Parameterized Quantile Function for Distributional Reinforcement Learning. CoRR Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
2019	J	`jnl`	Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation. CoRR Tianyu He, Xu Tan, Tao Qin
2019	—	`conf`	Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Hint-Based Training for Non-Autoregressive Machine Translation. CoRR Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	A*	`conf`	Image-to-Image Translation with Multi-Path Consistency Regularization. IJCAI Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
2019	J	`jnl`	Image-to-Image Translation with Multi-Path Consistency Regularization. CoRR Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
2019	A*	`conf`	Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. KDD Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu
2019	C	`conf`	Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. ASRU Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu
2019	J	`jnl`	Language Graph Distillation for Low-Resource Machine Translation. CoRR Tianyu He, Jiale Chen, Xu Tan, Tao Qin
2019	A*	`conf`	MASS: Masked Sequence to Sequence Pre-training for Language Generation. ICML Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu
2019	J	`jnl`	MASS: Masked Sequence to Sequence Pre-training for Language Generation. CoRR Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, 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`	Multi-Agent Dual Learning. ICLR (Poster) Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019	—	`conf`	Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
2019	J	`jnl`	Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang
2019	—	`conf`	Multilingual Neural Machine Translation with Knowledge Distillation. ICLR (Poster) Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu
2019	J	`jnl`	Multilingual Neural Machine Translation with Knowledge Distillation. CoRR Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu
2019	—	`conf`	Multilingual Neural Machine Translation with Language Clustering. EMNLP/IJCNLP (1) Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
2019	J	`jnl`	Multilingual Neural Machine Translation with Language Clustering. CoRR Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Neural Machine Translation with Soft Prototype. NeurIPS Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019	A*	`conf`	Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019	J	`jnl`	Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019	A*	`conf`	Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
2019	A*	`conf`	Normalization Helps Training of Quantized LSTM. NeurIPS Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. IJCAI Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu
2019	—	`conf`	Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Representation Degeneration Problem in Training Natural Language Generation Models. CoRR Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	J	`jnl`	Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu
2019	A*	`conf`	Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. AAAI Chengyue Gong, Xu Tan, Di He, Tao Qin
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
2019	A*	`conf`	Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin
2019	A	`conf`	Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. INTERSPEECH Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu
2019	J	`jnl`	Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. CoRR Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu
2019	A*	`conf`	Trust Region Evolution Strategies. AAAI Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	Understanding and Improving One-shot Neural Architecture Optimization. CoRR Renqian Luo, Tao Qin, Enhong Chen
2019	J	`jnl`	Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu
2019	C	`conf`	Unified Policy Optimization for Robust Reinforcement Learning. ACML Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang
2019	J	`jnl`	Unpaired Image-to-Image Translation with Domain Supervision. CoRR Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen
2019	—	`conf`	Unsupervised Pivot Translation for Distant Languages. ACL (1) Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2019	J	`jnl`	Unsupervised Pivot Translation for Distant Languages. CoRR Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2019	J	`jnl`	ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. CoRR Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen
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	J	`jnl`	Computational pricing in Internet era. Frontiers Comput. Sci. Fei Tian, Tao Qin, Tie-Yan Liu
2018	A*	`conf`	Conditional Image-to-Image Translation. CVPR Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
2018	J	`jnl`	Conditional Image-to-Image Translation. CoRR Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
2018	—	`conf`	Dense Information Flow for Neural Machine Translation. NAACL-HLT Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu
2018	J	`jnl`	Dense Information Flow for Neural Machine Translation. CoRR Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu
2018	B	`conf`	Double Path Networks for Sequence to Sequence Learning. COLING Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu
2018	J	`jnl`	Double Path Networks for Sequence to Sequence Learning. CoRR Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu
2018	A*	`conf`	Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu
2018	A*	`conf`	Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. AAAI Jiang Rong, Tao Qin, Bo An
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`	FRAGE: Frequency-Agnostic Word Representation. NeurIPS Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	FRAGE: Frequency-Agnostic Word Representation. CoRR Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. NeurIPS Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, 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	—	`conf`	Learning to Teach. ICLR (Poster) Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2018	J	`jnl`	Learning to Teach. CoRR Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2018	A*	`conf`	Model-Level Dual Learning. ICML Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2018	A*	`conf`	Neural Architecture Optimization. NeurIPS Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu
2018	J	`jnl`	Neural Architecture Optimization. CoRR Renqian Luo, Fei Tian, Tao Qin, Tie-Yan Liu
2018	J	`jnl`	Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
2018	J	`jnl`	Sentence-wise Smooth Regularization for Sequence to Sequence Learning. CoRR Chengyue Gong, Xu Tan, Di He, Tao Qin
2018	A*	`conf`	Towards Binary-Valued Gates for Robust LSTM Training. ICML Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	Towards Binary-Valued Gates for Robust LSTM Training. CoRR Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, 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	A	`conf`	Convolutional neural networks for posed and spontaneous expression recognition. ICME Chang Xu, Tao Qin, Yalong Bai, Gang Wang, Tie-Yan Liu
2017	—	`conf`	Decoding with Value Networks for Neural Machine Translation. NIPS Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, 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`	Dual Inference for Machine Learning. IJCAI Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017	A*	`conf`	Dual Supervised Learning. ICML Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017	J	`jnl`	Dual Supervised Learning. CoRR Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017	—	`conf`	Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection. ChinaCom (2) Yan Tong, Jian Zhang, Wei Chen, Mingdi Xu, Tao Qin
2017	A*	`conf`	Efficient Mechanism Design for Online Scheduling (Extended Abstract). IJCAI Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng
2017	J	`jnl`	Finite budget analysis of multi-armed bandit problems. Neurocomputing Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xudong Zhang, Nenghai Yu, Tie-Yan Liu
2017	J	`jnl`	Learning What Data to Learn. CoRR Yang Fan, Fei Tian, Tao Qin, Jiang Bian, Tie-Yan Liu
2017	A	`conf`	Pricing Optimization for Selling Reusable Resources. AAMAS Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2017	J	`jnl`	Question Answering and Question Generation as Dual Tasks. CoRR Duyu Tang, Nan Duan, Tao Qin, Ming Zhou
2017	A*	`conf`	Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. AAAI Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu
2017	J	`jnl`	Reinforcement Learning for Learning Rate Control. CoRR Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu
2017	A*	`conf`	Revenue Maximization for Finitely Repeated Ad Auctions. AAAI Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2017	—	`conf`	Scale Effects in Web Search. WINE Di He, Aadharsh Kannan, Tie-Yan Liu, R. Preston McAfee, Tao Qin, Justin M. Rao
2017	—	`conf`	Sequence Generation with Target Attention. ECML/PKDD (1) Yingce Xia, Fei Tian, 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
2016	A	`conf`	Best Action Selection in a Stochastic Environment. AAMAS Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu
2016	A*	`conf`	Budgeted Multi-Armed Bandits with Multiple Plays. IJCAI Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu
2016	—	`conf`	Dual Learning for Machine Translation. NIPS Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2016	J	`jnl`	Dual Learning for Machine Translation. CoRR Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2016	J	`jnl`	Efficient Mechanism Design for Online Scheduling. J. Artif. Intell. Res. Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng
2016	—	`conf`	LightRNN: Memory and Computation-Efficient Recurrent Neural Networks. NIPS Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu
2016	J	`jnl`	LightRNN: Memory and Computation-Efficient Recurrent Neural Networks. CoRR Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu
2016	A	`conf`	Modeling Bounded Rationality for Sponsored Search Auctions. ECAI Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2016	A	`conf`	Online Non-Preemptive Story Scheduling in Web Advertising. AAMAS Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Guang Yang, Bo Zheng
2016	A	`conf`	Optimal Sample Size for Adword Auctions: (Extended Abstract). AAMAS Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
2016	A	`conf`	Posting Prices for a Perishable Item: (Extended Abstract). AAMAS Bo Zheng, Li Xiao, Guang Yang, Tao Qin
2016	J	`jnl`	Randomized Mechanisms for Selling Reserved Instances in Cloud. CoRR Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu
2015	C	`conf`	Budgeted Bandit Problems with Continuous Random Costs. ACML Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin
2015	A	`conf`	Competitive Pricing for Cloud Computing in an Evolutionary Market. AAMAS Bolei Xu, Tao Qin, Guoping Qiu, Tie-Yan Liu
2015	A	`conf`	Computing Quantal Response Equilibrium for Sponsored Search Auctions. AAMAS Jiang Rong, Tao Qin, Bo An
2015	A*	`conf`	Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. IJCAI Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings
2015	A*	`conf`	Generalization Analysis for Game-Theoretic Machine Learning. AAAI Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu
2015	A	`conf`	Mechanism Design for Daily Deals. AAMAS Binyi Chen, Tao Qin, Tie-Yan Liu
2015	A*	`conf`	Mechanism Learning with Mechanism Induced Data. AAAI Tie-Yan Liu, Wei Chen, Tao Qin
2015	A	`conf`	New Mechanism for Reservation in Cloud Computing. AAMAS Changjun Wang, Weidong Ma, Tao Qin, Feidiao Yang, Tie-Yan Liu, Xujin Chen, Xiao-Dong Hu
2015	A*	`conf`	Optimal Pricing for the Competitive and Evolutionary Cloud Market. IJCAI Bolei Xu, Tao Qin, Guoping Qiu, Tie-Yan Liu
2015	A*	`conf`	Selling Reserved Instances in Cloud Computing. IJCAI Changjun Wang, Weidong Ma, Tao Qin, Xujin Chen, Xiaodong Hu, Tie-Yan Liu
2015	A*	`conf`	Thompson Sampling for Budgeted Multi-Armed Bandits. IJCAI Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu
2015	J	`jnl`	Thompson Sampling for Budgeted Multi-armed Bandits. CoRR Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu
2014	J	`jnl`	Advertiser-centric approach to understand user click behavior in sponsored search. Inf. Sci. Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu
2014	A*	`conf`	Agent Behavior Prediction and Its Generalization Analysis. AAAI Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu
2014	J	`jnl`	Agent Behavior Prediction and Its Generalization Analysis. CoRR Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu
2014	J	`jnl`	Generalization Analysis for Game-Theoretic Machine Learning. CoRR Haifang Li, Fei Tian, Wei Chen, Tao Qin, Tie-Yan Liu
2014	J	`jnl`	Generalized Second Price Auction with Probabilistic Broad Match. CoRR Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang
2014	A*	`conf`	Generalized second price auction with probabilistic broad match. EC Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang
2014	A	`conf`	Generalized second price auctions with value externalities. AAMAS Weidong Ma, Tao Wu, Tao Qin, Tie-Yan Liu
2014	A*	`conf`	Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. AAAI Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu
2014	J	`jnl`	Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. CoRR Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu
2014	J	`jnl`	Online Mechanism Design for Cloud Computing. CoRR Weidong Ma, Bo Zheng, Tao Qin, Pingzhong Tang, Tie-Yan Liu
2014	J	`jnl`	Sponsored Search Auctions: Recent Advances and Future Directions. ACM Trans. Intell. Syst. Technol. Tao Qin, Wei Chen, Tie-Yan Liu
2013	J	`jnl`	$K$-anonymous Signaling Scheme. CoRR Binyi Chen, Tao Qin, Tie-Yan Liu
2013	—	`conf`	Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising. NIPS Min Xu, Tao Qin, Tie-Yan Liu
2013	J	`jnl`	Introducing LETOR 4.0 Datasets. CoRR Tao Qin, Tie-Yan Liu
2013	A*	`conf`	Multi-Armed Bandit with Budget Constraint and Variable Costs. AAAI Wenkui Ding, Tao Qin, Xu-Dong Zhang, Tie-Yan Liu
2013	—	`conf`	Optimal Allocation for Chunked-Reward Advertising. WINE Weihao Kong, Jian Li, Tie-Yan Liu, Tao Qin
2013	J	`jnl`	Pure Price of Anarchy for Generalized Second Price Auction CoRR Wenkui Ding, Tao Wu, Tao Qin, Tie-Yan Liu
2013	J	`jnl`	Revenue Optimization for Group-Buying Websites CoRR Weihao Kong, Jian Li, Tao Qin, Tie-Yan Liu
2012	J	`jnl`	A noise-tolerant graphical model for ranking. Inf. Process. Manag. Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng
2011	A	`conf`	Advertiser-centric approach to understand user click behavior in sponsored search. CIKM Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu
2011	J	`jnl`	Selecting optimal training data for learning to rank. Inf. Process. Manag. Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng, Hang Li
2010	—	`conf`	A New Probabilistic Model for Rank Aggregation. NIPS Tao Qin, Xiubo Geng, Tie-Yan Liu
2010	J	`jnl`	A general approximation framework for direct optimization of information retrieval measures. Inf. Retr. Tao Qin, Tie-Yan Liu, Hang Li
2010	B	`conf`	An Empirical Study on Learning to Rank of Tweets. COLING Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung-Yeung Shum
2010	J	`jnl`	LETOR: A benchmark collection for research on learning to rank for information retrieval. Inf. Retr. Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
2010	—	`conf`	Learning to Rank with Supplementary Data. AIRS Wenkui Ding, Tao Qin, Xu-Dong Zhang
2010	A	`conf`	Ranking with query-dependent loss for web search. WSDM Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
2010	J	`jnl`	Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation. J. Electr. Comput. Eng. Tao Qin, Cyril Leung, Chunyan Miao, Zhiqi Shen
2009	J	`jnl`	Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mob. Comput. Commun. Rev. Tao Qin, Han Yu, Cyril Leung, Zhiqi Shen, Chunyan Miao
2008	J	`jnl`	An active feedback framework for image retrieval. Pattern Recognit. Lett. Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang, Wei-Ying Ma, Hong-Jiang Zhang
2008	—	`conf`	Global Ranking Using Continuous Conditional Random Fields. NIPS Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li
2008	A*	`conf`	Learning to rank relational objects and its application to web search. WWW Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Wen-Ying Xiong, Hang Li
2008	A*	`conf`	Query dependent ranking using K-nearest neighbor. SIGIR Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, Heung-Yeung Shum
2008	J	`jnl`	Query-level loss functions for information retrieval. Inf. Process. Manag. Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, Hang Li
2008	A*	`conf`	Query-level stability and generalization in learning to rank. ICML Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li
2007	A*	`conf`	FRank: a ranking method with fidelity loss. SIGIR Ming-Feng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, Wei-Ying Ma
2007	A	`conf`	Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization. ECIR Tie-Yan Liu, Huai-Yuan Yang, Xin Zheng, Tao Qin, Wei-Ying Ma
2007	A*	`conf`	Feature selection for ranking. SIGIR Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li
2007	A*	`conf`	Learning to rank: from pairwise approach to listwise approach. ICML Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li
2007	A*	`conf`	Ranking with multiple hyperplanes. SIGIR Tao Qin, Xu-Dong Zhang, De-Sheng Wang, Tie-Yan Liu, Wei Lai, Hang Li
2007	A*	`conf`	Supervised rank aggregation. WWW Yuting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li
2007	J	`jnl`	Topic distillation via sub-site retrieval. Inf. Process. Manag. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, De-Sheng Wang, Wei-Ying Ma
2005	A*	`conf`	A study of relevance propagation for web search. SIGIR Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Zheng Chen, Wei-Ying Ma
2005	—	`conf`	Calculating Webpage Importance with Site Structure Constraints. AIRS Hui-Min Yan, Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, Wei-Ying Ma
2005	J	`jnl`	Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning. IEEE Trans. Knowl. Data Eng. Bin Gao, Tie-Yan Liu, Guang Feng, Tao Qin, QianSheng Cheng, Wei-Ying Ma
2005	C	`conf`	Level-Based Link Analysis. APWeb Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Tao Qin, Bin Gao, Wei-Ying Ma
2005	—	`conf`	Similarity space projection for web image search and annotation. Multimedia Information Retrieval Ying Liu, Tao Qin, Tie-Yan Liu, Lei Zhang, Wei-Ying Ma
2005	—	`conf`	Site abstraction for rare category classification in large-scale web directory. WWW (Special interest tracks and posters) Tie-Yan Liu, Hao Wan, Tao Qin, Zheng Chen, Yong Ren, Wei-Ying Ma
2005	—	`conf`	Subsite Retrieval: A Novel Concept for Topic Distillation. AIRS Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, Wei-Ying Ma
2005	B	`conf`	Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval. MMM Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, HongJiang Zhang
2005	A*	`conf`	Web image clustering by consistent utilization of visual features and surrounding texts. ACM Multimedia Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianSheng Cheng, Wei-Ying Ma
2004	—	`conf`	Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004. TREC Ruihua Song, Ji-Rong Wen, Shuming Shi, Guomao Xin, Tie-Yan Liu, Tao Qin, Xin Zheng, Jiyu Zhang, Gui-Rong Xue, Wei-Ying Ma
2004	B	`conf`	Time-constraint boost for tv commercials detection. ICIP Tie-Yan Liu, Tao Qin, HongJiang Zhang