Tie-Yan Liu - RankMe

629 papers A* 190A 31B 9C 7Misc 5Journal 315Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HybridQuestion: Human-AI Collaboration for Identifying High-Impact Research Questions. CoRR Keyu Zhao, Fengli Xu, Yong Li, Tie-Yan Liu
2026	J	`jnl`	Online risk-aware pattern adjustment for bin packing problem. Expert Syst. Appl. Huayan Zhang, Tie-Yan Liu, Ruibin Bai
2025	J	`jnl`	MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists. CoRR Qingbin Zeng, Bingbing Fan, Zhiyu Chen, Sijian Ren, Zhilun Zhou, Xuhua Zhang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu
2025	J	`jnl`	Modeling Earth-Scale Human-Like Societies with One Billion Agents. CoRR Haoxiang Guan, Jiyan He, Liyang Fan, Zhenzhen Ren, Shaobin He, Xin Yu, Yuan Chen, Shuxin Zheng, Tie-Yan Liu, Zhen Liu
2025	J	`jnl`	Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
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`	OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists. CoRR Chenyang Shao, Dehao Huang, Yu Li, Keyu Zhao, Weiquan Lin, Yining Zhang, Qingbin Zeng, Zhiyu Chen, Tianxing Li, Yifei Huang, Taozhong Wu, Xinyang Liu, Ruotong Zhao, Mengsheng Zhao, Jiaoyang Li, Xuhua Zhang, Yue Wang, Yuanyi Zhen, Fengli Xu, Yong Li, Tie-Yan Liu
2025	J	`jnl`	StreamMel: Real-Time Zero-Shot Text-to-Speech Via Interleaved Continuous Autoregressive Modeling. IEEE Signal Process. Lett. Hui Wang, Yifan Yang, Shujie Liu, Jinyu Li, Lingwei Meng, Tie-Yan Liu, Jiaming Zhou, Haoqin Sun, Yan Lu, Yong Qin
2024	J	`jnl`	Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2024	A*	`conf`	Bridging Geometric States via Geometric Diffusion Bridge. NeurIPS Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	Bridging Geometric States via Geometric Diffusion Bridge. CoRR Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024	J	`jnl`	Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. IEEE Trans. Knowl. Data Eng. Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu
2024	A*	`conf`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. ICML Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	J	`jnl`	GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
2024	A*	`conf`	Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. ICLR Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
2024	J	`jnl`	LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. Neural Networks Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
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`	Pattern based learning and optimisation through pricing for bin packing problem. CoRR Huayan Zhang, Ruibin Bai, Tie-Yan Liu, Jiawei Li, Bingchen Lin, Jianfeng Ren
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	J	`jnl`	Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2024	A*	`conf`	Provable Adaptivity of Adam under Non-uniform Smoothness. KDD Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen
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
2024	A*	`conf`	Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction. ICML He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu
2024	J	`jnl`	Self-Consistency Training for Hamiltonian Prediction. CoRR He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, 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`	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`	DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning. Briefings Bioinform. Zimeng Li, Shichao Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu
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`	Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, 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	A*	`conf`	Geometric Transformer with Interatomic Positional Encoding. NeurIPS Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
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	J	`jnl`	Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent. Trans. Mach. Learn. Res. Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
2023	J	`jnl`	Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2023	A*	`conf`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	J	`jnl`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	A	`conf`	Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, 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	J	`jnl`	Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2023	A*	`conf`	NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	A*	`conf`	One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
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	J	`jnl`	Regeneration Learning: A Learning Paradigm for Data Generation. CoRR Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
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	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
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	J	`jnl`	Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
2023	A*	`conf`	Web-based Long-term Spine Treatment Outcome Forecasting. KDD Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, 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`	AF CoRR Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
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	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	J	`jnl`	An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022. CoRR Yusong Wang, Shaoning Li, Tong Wang, Zun Wang, Xinheng He, Bin Shao, 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	A*	`conf`	Availability Attacks Create Shortcuts. KDD Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2022	J	`jnl`	Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
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	A*	`conf`	DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022	J	`jnl`	DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. CoRR Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
2022	J	`jnl`	Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu
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	A*	`conf`	Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, 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	—	`conf`	Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan
2022	A*	`conf`	Gradient Information Matters in Policy Optimization by Back-propagating through Model. ICLR Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
2022	J	`jnl`	Improved drug-target interaction prediction with intermolecular graph transformer. Briefings Bioinform. Siyuan Liu, Yusong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu, Tong Wang
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	J	`jnl`	Invertible Rescaling Network and Its Extensions. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
2022	B	`conf`	KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings. COLING Zhiping Luo, Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2022	J	`jnl`	Learning Physics-Informed Neural Networks without Stacked Back-propagation. CoRR Di He, Wenlei Shi, Shanda Li, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
2022	J	`jnl`	LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2022	J	`jnl`	METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
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	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`	Multi-View Substructure Learning for Drug-Drug Interaction Prediction. CoRR Zimeng Li, Shichao Zhu, Bin Shao, Tie-Yan Liu, Xiangxiang Zeng, Tong Wang
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`	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	J	`jnl`	Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
2022	J	`jnl`	Neurally-Guided Semantic Navigation in Knowledge Graph. IEEE Trans. Big Data Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia
2022	J	`jnl`	Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization. CoRR Xiaodong Yang, Huishuai Zhang, Wei Chen, Tie-Yan Liu
2022	J	`jnl`	One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
2022	J	`jnl`	Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent. CoRR Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai 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	—	`conf`	ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. ACL (1) Chang Liu, Xu Tan, Chongyang Tao, Zhenxin Fu, Dongyan Zhao, Tie-Yan Liu, Rui Yan
2022	J	`jnl`	Provable Adaptivity in Adam. CoRR Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen
2022	A*	`conf`	Quantized Training of Gradient Boosting Decision Trees. NeurIPS Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
2022	J	`jnl`	Quantized Training of Gradient Boosting Decision Trees. CoRR Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, 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	—	`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	A*	`conf`	SE(3) Equivariant Graph Neural Networks with Complete Local Frames. ICML Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, 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	J	`jnl`	Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, 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	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`	Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
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	A*	`conf`	Your Transformer May Not be as Powerful as You Expect. NeurIPS Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
2022	J	`jnl`	Your Transformer May Not be as Powerful as You Expect. CoRR Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
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	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`	Adversarial Training with Rectified Rejection. CoRR Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, 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	J	`jnl`	BN-invariant sharpness regularizes the training model to better generalization. CoRR Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2021	J	`jnl`	Causally Invariant Predictor with Shift-Robustness. CoRR Xiangyu Zheng, Xinwei Sun, Wei Chen, Tie-Yan Liu
2021	A*	`conf`	Co-evolution Transformer for Protein Contact Prediction. NeurIPS He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu
2021	J	`jnl`	Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction. BMC Bioinform. Siyuan Liu, Tong Wang, Qijiang Xu, Bin Shao, Jian Yin, Tie-Yan Liu
2021	A	`conf`	Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. AAMAS Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
2021	A*	`conf`	Curriculum Offline Imitating Learning. NeurIPS Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
2021	J	`jnl`	Curriculum Offline Imitation Learning. CoRR Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
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`	Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. CoRR Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Do Transformers Really Perform Bad for Graph Representation? CoRR Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	A*	`conf`	Do Transformers Really Perform Badly for Graph Representation? NeurIPS Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
2021	A*	`conf`	Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. ICLR Da Yu, Huishuai Zhang, Wei Chen, 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`	Equivariant vector field network for many-body system modeling. CoRR Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Bin Shao, Tie-Yan Liu
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	A*	`conf`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. ICML Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
2021	J	`jnl`	HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	A	`conf`	HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. CIKM Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu
2021	A*	`conf`	How Does Data Augmentation Affect Privacy in Machine Learning? AAAI Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021	A*	`conf`	How could Neural Networks understand Programs? ICML Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
2021	J	`jnl`	How could Neural Networks understand Programs? CoRR Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, 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`	Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer. CoRR Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, 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`	Independence-aware Advantage Estimation. IJCAI Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu
2021	J	`jnl`	Indiscriminate Poisoning Attacks Are Shortcuts. CoRR Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
2021	J	`jnl`	Instance-wise Graph-based Framework for Multivariate Time Series Forecasting. CoRR Wentao Xu, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	KGE-CL: Contrastive Learning of Knowledge Graph Embeddings. CoRR Wentao Xu, Zhiping Luo, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	A*	`conf`	Large Scale Private Learning via Low-rank Reparametrization. ICML Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	Large Scale Private Learning via Low-rank Reparametrization. CoRR Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	LazyFormer: Self Attention with Lazy Update. CoRR Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu
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	J	`jnl`	Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk
2021	—	`conf`	Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk
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	A*	`conf`	MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. IJCAI Tianhao Zhang, Qiwei Ye, Jiang Bian, Guangming Xie, Tie-Yan Liu
2021	J	`jnl`	Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
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	A*	`conf`	Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD. NeurIPS Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	J	`jnl`	Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD. CoRR Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	A	`conf`	Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu
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`	REST: Relational Event-driven Stock Trend Forecasting. WWW Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021	J	`jnl`	REST: Relational Event-driven Stock Trend Forecasting. CoRR Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, 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	J	`jnl`	Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. CoRR Yichi Zhou, Shihong Song, Huishuai Zhang, Jun Zhu, Wei Chen, Tie-Yan Liu
2021	A*	`conf`	Rethinking Positional Encoding in Language Pre-training. ICLR Guolin Ke, Di He, 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	J	`jnl`	Revisiting Language Encoding in Learning Multilingual Representations. CoRR Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	SAMF: a self-adaptive protein modeling framework. Bioinform. Wenze Ding, Qijiang Xu, Siyuan Liu, Tong Wang, Bin Shao, Haipeng Gong, Tie-Yan Liu
2021	J	`jnl`	SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
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	A*	`conf`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	J	`jnl`	Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
2021	A	`conf`	Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
2021	A*	`conf`	Stylized Dialogue Generation with Multi-Pass Dual Learning. NeurIPS Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, 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	A*	`conf`	Taking Notes on the Fly Helps Language Pre-Training. ICLR Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, 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`	The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. ICML Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu
2021	—	`conf`	The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev
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	A*	`conf`	Universal Trading for Order Execution with Oracle Policy Distillation. AAAI Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2021	J	`jnl`	Universal Trading for Order Execution with Oracle Policy Distillation. CoRR Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2020	A*	`conf`	A Study of Non-autoregressive Model for Sequence Generation. ACL Yi Ren, Jinglin Liu, Xu Tan, Zhou Zhao, Sheng Zhao, Tie-Yan Liu
2020	J	`jnl`	A Study of Non-autoregressive Model for Sequence Generation. CoRR Yi Ren, Jinglin Liu, Xu Tan, Sheng Zhao, Zhou Zhao, Tie-Yan Liu
2020	J	`jnl`	Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Trans. Neural Networks Learn. Syst. Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang
2020	J	`jnl`	COSEA: Convolutional Code Search with Layer-wise Attention. CoRR Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
2020	—	`ed.`	Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020 WWW (Companion Volume) Amal El Fallah Seghrouchni, Gita Sukthankar, Tie-Yan Liu, Maarten van Steen
2020	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. IEEE Trans. Signal Process. Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
2020	J	`jnl`	Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. CoRR Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
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	J	`jnl`	Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator. CoRR Yuxuan Song, Qiwei Ye, Minkai Xu, 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`	Dynamic of Stochastic Gradient Descent with State-Dependent Noise. CoRR Qi Meng, Shiqi Gong, Wei Chen, Zhi-Ming Ma, 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	A*	`conf`	Gradient Perturbation is Underrated for Differentially Private Convex Optimization. IJCAI Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2020	J	`jnl`	GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang
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	—	`conf`	Invertible Image Rescaling. ECCV (1) Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
2020	J	`jnl`	Invertible Image Rescaling. CoRR Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
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	A*	`conf`	Light Multi-Segment Activation for Model Compression. AAAI Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, 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	J	`jnl`	MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, 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`	Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary. CoRR Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
2020	J	`jnl`	Modeling Lost Information in Lossy Image Compression. CoRR Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu
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	J	`jnl`	Neural Architecture Search with GBDT. CoRR Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu
2020	A*	`conf`	On Layer Normalization in the Transformer Architecture. ICML Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu
2020	J	`jnl`	On Layer Normalization in the Transformer Architecture. CoRR Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, 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	J	`jnl`	Qlib: An AI-oriented Quantitative Investment Platform. CoRR Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, 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`	Rethinking Positional Encoding in Language Pre-training. CoRR Guolin Ke, Di He, Tie-Yan Liu
2020	A*	`conf`	SEEK: Segmented Embedding of Knowledge Graphs. ACL Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu
2020	J	`jnl`	SEEK: Segmented Embedding of Knowledge Graphs. CoRR Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, 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`	Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, 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`	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	J	`jnl`	Taking Notes on the Fly Helps BERT Pre-training. CoRR Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
2020	J	`jnl`	Target transfer Q-learning and its convergence analysis. Neurocomputing Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
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	J	`jnl`	The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks. CoRR Bohan Wang, Qi Meng, Wei Chen, 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
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
2020	A*	`ed.`	WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020 WWW Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen
2019	A	`conf`	A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. AAMAS Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
2019	J	`jnl`	A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. CoRR Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, 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`	Adaptive Regret of Convex and Smooth Functions. ICML Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou
2019	J	`jnl`	Adaptive Regret of Convex and Smooth Functions. CoRR Lijun Zhang, Tie-Yan Liu, Zhi-Hua Zhou
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	A*	`conf`	BN-invariant Sharpness Regularizes the Training Model to Better Generalization. IJCAI Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, 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	J	`jnl`	Beyond Exponentially Discounted Sum: Automatic Learning of Return Function. CoRR Yufei Wang, Qiwei Ye, Tie-Yan Liu
2019	A*	`conf`	Capacity Control of ReLU Neural Networks by Basis-Path Norm. AAAI Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu
2019	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. CoRR Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
2019	A*	`conf`	DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. KDD Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, 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	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	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	—	`conf`	G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space. ICLR (Poster) Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu
2019	J	`jnl`	Gradient Perturbation is Underrated for Differentially Private Convex Optimization. CoRR Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
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`	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	A*	`conf`	Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction. KDD Chi Chen, Li Zhao, Jiang Bian, Chunxiao Xing, 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`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2019	J	`jnl`	Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy. CoRR Ruihan Yang, Qiwei Ye, Tie-Yan Liu
2019	J	`jnl`	Light Multi-segment Activation for Model Compression. CoRR Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
2019	J	`jnl`	LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm. CoRR Ziyu Liu, Guolin Ke, Jiang Bian, Tie-Yan Liu
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	A*	`conf`	Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. AAAI Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, 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`	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	J	`jnl`	OptQuant: Distributed training of neural networks with optimized quantization mechanisms. Neurocomputing Li He, Shuxin Zheng, Wei Chen, Zhiming Ma, 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	J	`jnl`	Positively Scale-Invariant Flatness of ReLU Neural Networks. CoRR Mingyang Yi, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2019	J	`jnl`	Reinforcement Learning with Dynamic Boltzmann Softmax Updates. CoRR Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang, 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`	Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, 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	—	`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`	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	J	`jnl`	Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network. CoRR Huishuai Zhang, Da Yu, Wei Chen, 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 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	—	`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
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	C	`conf`	Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. ACML Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang
2018	J	`jnl`	Capacity Control of ReLU Neural Networks by Basis-path Norm. CoRR Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, 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	A*	`conf`	Differential Equations for Modeling Asynchronous Algorithms. IJCAI Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu
2018	J	`jnl`	Differential Equations for Modeling Asynchronous Algorithms. CoRR Li He, Qi Meng, Wei Chen, Zhiming Ma, 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	—	`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	J	`jnl`	Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting. CoRR Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
2018	—	`ed.`	Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings CCIR Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li
2018	A*	`conf`	Investor-Imitator: A Framework for Trading Knowledge Extraction. KDD Yi Ding, Weiqing Liu, Jiang Bian, Daoqiang Zhang, 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`	Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. WSDM Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, 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	J	`jnl`	Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks. CoRR Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, 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	A*	`conf`	On the Local Hessian in Back-propagation. NeurIPS Huishuai Zhang, Wei Chen, Tie-Yan Liu
2018	J	`jnl`	Optimizing Neural Networks in the Equivalent Class Space. CoRR Qi Meng, Wei Chen, Shuxin Zheng, Qiwei Ye, Tie-Yan Liu
2018	Misc	`ed.`	Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2018, Tianjin, China, September 14-17, 2018 ICTIR Dawei Song, Tie-Yan Liu, Le Sun, Peter Bruza, Massimo Melucci, Fabrizio Sebastiani, Grace Hui Yang
2018	A	`conf`	Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning. AAMAS Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2018	J	`jnl`	Target Transfer Q-Learning and Its Convergence Analysis. CoRR Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
2018	A*	`conf`	Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. SIGIR Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu
2018	J	`jnl`	Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. CoRR Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu
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
2018	J	`jnl`	Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation. CoRR Huishuai Zhang, Wei Chen, 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	A*	`conf`	Asynchronous Stochastic Gradient Descent with Delay Compensation. ICML Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. AAAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	J	`jnl`	Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, 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	—	`conf`	Distributed Machine Learning: Foundations, Trends, and Practices. WWW (Companion Volume) Tie-Yan Liu, Wei Chen, Taifeng Wang
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	A*	`conf`	Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems. IJCAI Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu
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	—	`conf`	Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. ECML/PKDD (1) Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
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	—	`conf`	Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting. NIPS Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Generalization Error Bounds for Optimization Algorithms via Stability. AAAI Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2017	J	`jnl`	Introduction: special issue of selected papers from ACML 2015. Mach. Learn. Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou
2017	J	`jnl`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. CoRR Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2017	J	`jnl`	Learning What Data to Learn. CoRR Yang Fan, Fei Tian, Tao Qin, Jiang Bian, Tie-Yan Liu
2017	—	`conf`	LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
2017	A	`conf`	Pricing Optimization for Selling Reusable Resources. AAMAS Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu
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
2017	J	`jnl`	Slim-DP: A Light Communication Data Parallelism for DNN. CoRR Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2017	A*	`conf`	Word-Entity Duet Representations for Document Ranking. SIGIR Chenyan Xiong, Jamie Callan, Tie-Yan Liu
2017	J	`jnl`	Word-Entity Duet Representations for Document Ranking. CoRR Chenyan Xiong, Jamie Callan, Tie-Yan Liu
2016	—	`conf`	A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. IEEE Trans. Cybern. Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li
2016	A*	`conf`	Asynchronous Accelerated Stochastic Gradient Descent. IJCAI Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning. CoRR Shuxin Zheng, Qi Meng, Taifeng Wang, Wei Chen, Nenghai Yu, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction. CoRR Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	Misc	`conf`	Bag-of-Entities Representation for Ranking. ICTIR Chenyan Xiong, Jamie Callan, 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	J	`jnl`	Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks. CoRR Shizhao Sun, Wei Chen, Jiang Bian, Xiaoguang Liu, Tie-Yan Liu
2016	J	`jnl`	Generalization Error Bounds for Optimization Algorithms via Stability. CoRR Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Trans. Computers Chang Xu, Gang Wang, Xiaoguang Liu, Dongdong Guo, Tie-Yan Liu
2016	J	`jnl`	Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. J. Comput. Sci. Technol. Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu
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`	On the Depth of Deep Neural Networks: A Theoretical View. AAAI Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, 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	J	`jnl`	Randomized Mechanisms for Selling Reserved Instances in Cloud. CoRR Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu
2016	J	`jnl`	Ranking-Oriented Collaborative Filtering: A Listwise Approach. ACM Trans. Inf. Syst. Shuaiqiang Wang, Shanshan Huang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
2016	J	`jnl`	Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves. CoRR Fei Tian, Bin Gao, Di He, Tie-Yan Liu
2016	A*	`conf`	Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding. EMNLP Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu
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`	Generalization Analysis for Game-Theoretic Machine Learning. AAAI Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu
2015	J	`jnl`	Global Optimization for Advertisement Selection in Sponsored Search. J. Comput. Sci. Technol. Qing Cui, Feng-Shan Bai, Bin Gao, Tie-Yan Liu
2015	J	`jnl`	KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge. ACM Trans. Inf. Syst. Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Hanjun Dai, Tie-Yan Liu
2015	J	`jnl`	Large Margin Deep Neural Networks: Theory and Algorithms. CoRR Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu
2015	J	`jnl`	Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph. CoRR Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu
2015	A*	`conf`	LightLDA: Big Topic Models on Modest Computer Clusters. WWW Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma
2015	A*	`conf`	Listwise Collaborative Filtering. SIGIR Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
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	C	`conf`	Preface. ACML Geoffrey Holmes, 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	—	`ed.`	Social Informatics - 7th International Conference, SocInfo 2015, Beijing, China, December 9-12, 2015, Proceedings SocInfo Tie-Yan Liu, Christie Napa Scollon, Wenwu Zhu
2015	J	`jnl`	Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding. CoRR Huazheng Wang, Bin Gao, Jiang Bian, Fei Tian, 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`	A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. CoRR Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2014	B	`conf`	A Probabilistic Model for Learning Multi-Prototype Word Embeddings. COLING Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, 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`	Bid keyword suggestion in sponsored search based on competitiveness and relevance. Inf. Process. Manag. Ying Zhang, Weinan Zhang, Bin Gao, Xiaojie Yuan, Tie-Yan Liu
2014	B	`conf`	Co-learning of Word Representations and Morpheme Representations. COLING Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, 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	—	`conf`	Knowledge-Powered Deep Learning for Word Embedding. ECML/PKDD (1) Jiang Bian, Bin Gao, Tie-Yan Liu
2014	A*	`conf`	Learning Deep Representations for Graph Clustering. AAAI Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu
2014	J	`jnl`	Learning Effective Word Embedding using Morphological Word Similarity. CoRR Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Tie-Yan Liu
2014	J	`jnl`	LightLDA: Big Topic Models on Modest Compute Clusters. CoRR Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
2014	J	`jnl`	Online Mechanism Design for Cloud Computing. CoRR Weidong Ma, Bo Zheng, Tao Qin, Pingzhong Tang, Tie-Yan Liu
2014	A	`conf`	RC-NET: A General Framework for Incorporating Knowledge into Word Representations. CIKM Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu
2014	A	`conf`	Sampling dilemma: towards effective data sampling for click prediction in sponsored search. WSDM Jun Feng, Jiang Bian, Taifeng Wang, Wei Chen, Xiaoyan Zhu, Tie-Yan Liu
2014	A*	`conf`	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. AAAI Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu
2014	J	`jnl`	Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. CoRR Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, 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
2014	—	`ed.`	Web and Internet Economics - 10th International Conference, WINE 2014, Beijing, China, December 14-17, 2014. Proceedings WINE Tie-Yan Liu, Qi Qi, Yinyu Ye
2014	J	`jnl`	WordRep: A Benchmark for Research on Learning Word Representations. CoRR Bin Gao, Jiang Bian, Tie-Yan Liu
2013	J	`jnl`	$K$-anonymous Signaling Scheme. CoRR Binyi Chen, Tao Qin, Tie-Yan Liu
2013	A*	`conf`	A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. IJCAI Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2013	J	`jnl`	A Theoretical Analysis of NDCG Type Ranking Measures CoRR Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen
2013	A*	`conf`	A Theoretical Analysis of NDCG Type Ranking Measures. COLT Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu
2013	—	`conf`	Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising. NIPS Min Xu, Tao Qin, Tie-Yan Liu
2013	—	`ed.`	Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Singapore, December 9-11, 2013. Proceedings AIRS Rafael E. Banchs, Fabrizio Silvestri, Tie-Yan Liu, Min Zhang, Sheng Gao, Jun Lang
2013	A*	`conf`	Internet advertising: theory and practice. SIGIR Bin Gao, Jun Yan, Dou Shen, 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	J	`jnl`	Online learning for auction mechanism in bandit setting. Decis. Support Syst. Di He, Wei Chen, Liwei Wang, Tie-Yan Liu
2013	—	`conf`	Optimal Allocation for Chunked-Reward Advertising. WINE Weihao Kong, Jian Li, Tie-Yan Liu, Tao Qin
2013	A*	`conf`	Predicting advertiser bidding behaviors in sponsored search by rationality modeling. WWW Haifeng Xu, Bin Gao, Diyi Yang, Tie-Yan Liu
2013	A*	`conf`	Psychological advertising: exploring user psychology for click prediction in sponsored search. KDD Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, Tie-Yan Liu
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	—	`conf`	A Study on Potential Head Advertisers in Sponsored Search. AIRS Changhao Jiang, Min Zhang, Bin Gao, 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
2012	A	`conf`	A unified optimization framework for auction and guaranteed delivery in online advertising. CIKM Konstantin Salomatin, Tie-Yan Liu, Yiming Yang
2012	—	`conf`	Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction. WINE Lei Yao, Wei Chen, Tie-Yan Liu
2012	A*	`conf`	Joint optimization of bid and budget allocation in sponsored search. KDD Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu
2012	A*	`conf`	Large-scale graph mining and learning for information retrieval. SIGIR Bin Gao, Taifeng Wang, Tie-Yan Liu
2012	A	`conf`	Relational click prediction for sponsored search. WSDM Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, Tie-Yan Liu
2012	—	`conf`	Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space. NIPS Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu
2011	J	`jnl`	A conversation with MSRA researchers. SIGKDD Explor. Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng
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	—	`conf`	Future directions in learning to rank. Yahoo! Learning to Rank Challenge Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011	—	`book`	Learning to Rank for Information Retrieval. Tie-Yan Liu
2011	A	`conf`	Let web spammers expose themselves. WSDM Zhicong Cheng, Bin Gao, Congkai Sun, Yanbing Jiang, Tie-Yan Liu
2011	J	`jnl`	Page importance computation based on Markov processes. Inf. Retr. Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhiming Ma, Hang Li
2011	—	`ed.`	Proceedings of the Yahoo! Learning to Rank Challenge, held at ICML 2010, Haifa, Israel, June 25, 2010 Yahoo! Learning to Rank Challenge Olivier Chapelle, Yi Chang, Tie-Yan Liu
2011	—	`conf`	Ranking on large-scale graphs with rich metadata. WWW (Companion Volume) Bin Gao, Taifeng Wang, 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
2011	A*	`conf`	Semi-supervised ranking on very large graphs with rich metadata. KDD Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, Hang Li
2010	—	`conf`	A New Probabilistic Model for Rank Aggregation. NIPS Tao Qin, Xiubo Geng, Tie-Yan Liu
2010	J	`jnl`	A framework to compute page importance based on user behaviors. Inf. Retr. Yuting Liu, Tie-Yan Liu, Bin Gao, Zhiming Ma, Hang Li
2010	J	`jnl`	A general approximation framework for direct optimization of information retrieval measures. Inf. Retr. Tao Qin, Tie-Yan Liu, Hang Li
2010	A*	`conf`	Actively predicting diverse search intent from user browsing behaviors. WWW Zhicong Cheng, Bin Gao, Tie-Yan Liu
2010	J	`jnl`	Introduction to special issue on learning to rank for information retrieval. Inf. Retr. Tie-Yan Liu, Thorsten Joachims, Hang Li, ChengXiang Zhai
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	A*	`conf`	Learning to rank for information retrieval. SIGIR Tie-Yan Liu
2010	A	`conf`	Ranking with query-dependent loss for web search. WSDM Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
2010	J	`jnl`	Tendency correlation analysis for direct optimization of evaluation measures in information retrieval. Inf. Retr. Yin He, Tie-Yan Liu
2010	—	`conf`	Two-Layer Generalization Analysis for Ranking Using Rademacher Average. NIPS Wei Chen, Tie-Yan Liu, Zhiming Ma
2009	A	`conf`	A general markov framework for page importance computation. CIKM Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li
2009	A*	`conf`	Generalization analysis of listwise learning-to-rank algorithms. ICML Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
2009	J	`jnl`	Learning to Rank for Information Retrieval. Found. Trends Inf. Retr. Tie-Yan Liu
2009	J	`jnl`	Learning to rank for information retrieval (LR4IR 2009). SIGIR Forum Hang Li, Tie-Yan Liu, ChengXiang Zhai
2009	—	`conf`	Ranking Measures and Loss Functions in Learning to Rank. NIPS Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li
2009	—	`conf`	Statistical Consistency of Top-k Ranking. NIPS Fen Xia, Tie-Yan Liu, Hang Li
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	A*	`conf`	BrowseRank: letting web users vote for page importance. SIGIR Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li
2008	A*	`conf`	Directly optimizing evaluation measures in learning to rank. SIGIR Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
2008	—	`conf`	Global Ranking Using Continuous Conditional Random Fields. NIPS Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li
2008	J	`jnl`	Learning to rank for information retrieval (LR4IR 2008). SIGIR Forum Hang Li, Tie-Yan Liu, ChengXiang Zhai
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`	Listwise approach to learning to rank: theory and algorithm. ICML Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, 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	J	`jnl`	Learning to rank for information retrieval (LR4IR 2007). SIGIR Forum Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai
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`	Link analysis using time series of web graphs. CIKM Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, Tie-Yan Liu
2007	J	`jnl`	Ranking Websites: A Probabilistic View. Internet Math. Ying Bao, Guang Feng, Tie-Yan Liu, Zhiming Ma, Ying Wang
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
2006	A*	`conf`	Adapting ranking SVM to document retrieval. SIGIR Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon
2006	A*	`conf`	AggregateRank: bringing order to web sites. SIGIR Guang Feng, Tie-Yan Liu, Ying Wang, Ying Bao, Zhiming Ma, Xu-Dong Zhang, Wei-Ying Ma
2006	A*	`conf`	Detecting Link Spam Using Temporal Information. ICDM Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, Hang Li
2006	A*	`conf`	Event detection from evolution of click-through data. KDD Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei-Ying Ma
2006	—	`conf`	Fast Spectral Clustering of Data Using Sequential Matrix Compression. ECML Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Ying Ma
2006	B	`conf`	Heterogeneous Information Integration in Hierarchical Text Classification. PAKDD Huai-Yuan Yang, Tie-Yan Liu, Li Gao, Wei-Ying Ma
2006	B	`conf`	Level-Biased Statistics in the Hierarchical Structure of the Web. PAKDD Guang Feng, Tie-Yan Liu, Xudong Zhang, Wei-Ying Ma
2006	A*	`conf`	Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory. ICDM Bin Gao, Tie-Yan Liu, Wei-Ying Ma
2006	A*	`conf`	Time-dependent semantic similarity measure of queries using historical click-through data. WWW Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Sourav S. Bhowmick, Michael R. Lyu, 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`	An Editor Labeling Model for Training Set Expansion in Web Categorization. Web Intelligence Tie-Yan Liu, Hao Wan, Wei-Ying Ma
2005	—	`conf`	An experimental study on large-scale web categorization. WWW (Special interest tracks and posters) Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, 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	A*	`conf`	Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering. KDD Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, Wei-Ying Ma
2005	B	`conf`	Effective Feature Extraction for Play Detection in American Football Video. MMM Tie-Yan Liu, Wei-Ying Ma, HongJiang Zhang
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	J	`jnl`	Support vector machines classification with a very large-scale taxonomy. SIGKDD Explor. Tie-Yan Liu, Yiming Yang, Hao Wan, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
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
2005	—	`conf`	Webpage Importance Analysis Using Conditional Markov Random Walk. Web Intelligence Tie-Yan Liu, Wei-Ying Ma
2004	—	`conf`	A Linear Approximation Based Method for Noise-Robust and Illumination-Invariant Image Change Detection. PCM (3) Bin Gao, Tie-Yan Liu, QianSheng Cheng, Wei-Ying Ma
2004	J	`jnl`	A new cut detection algorithm with constant false-alarm ratio for video segmentation. J. Vis. Commun. Image Represent. Tie-Yan Liu, Kwok-Tung Lo, Xu-Dong Zhang, Jian Feng
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	J	`jnl`	Shot reconstruction degree: a novel criterion for key frame selection. Pattern Recognit. Lett. Tie-Yan Liu, Xudong Zhang, Jian Feng, Kwok-Tung Lo
2004	B	`conf`	Time-constraint boost for tv commercials detection. ICIP Tie-Yan Liu, Tao Qin, HongJiang Zhang
2003	J	`jnl`	Dynamic selection and effective compression of key frames for video abstraction. Pattern Recognit. Lett. Xu-Dong Zhang, Tie-Yan Liu, Kwok-Tung Lo, Jian Feng
2003	J	`jnl`	Frame interpolation scheme using inertia motion prediction. Signal Process. Image Commun. Tie-Yan Liu, Kwok-Tung Lo, Jian Feng, Xudong Zhang
2002	—	`conf`	Constant false-alarm ratio processing for video cut detection. ICIP (1) Tie-Yan Liu, Xudong Zhang, Linwei Shan, Yingning Peng
2001	—	`conf`	Adaptive motion tracking for fast block motion estimation. ISCAS (5) Jian Feng, Tie-Yan Liu, Kwok-Tung Lo, Xu-Dong Zhang