Time-constraint boost for tv commercials detection. - Tie-Yan Liu; Tao Qin 001; HongJiang Zhang (ICIP, 2004)

Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004. - Ruihua Song; Ji-Rong Wen; Shuming Shi 001; Guomao Xin; Tie-Yan Liu; Tao Qin 001; Xin Zheng; Jiyu Zhang; Gui-Rong Xue; Wei-Ying Ma (TREC, 2004)

Subsite Retrieval: A Novel Concept for Topic Distillation. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; Guang Feng; Wei-Ying Ma (AIRS, 2005)

Calculating Webpage Importance with Site Structure Constraints. - Hui-Min Yan; Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; Guang Feng; Wei-Ying Ma (AIRS, 2005)

Level-Based Link Analysis. - Guang Feng; Tie-Yan Liu; Xu-Dong Zhang 001; Tao Qin 001; Bin Gao 001; Wei-Ying Ma (APWeb, 2005)

Similarity space projection for web image search and annotation. - Ying Liu 026; Tao Qin 001; Tie-Yan Liu; Lei Zhang 001; Wei-Ying Ma (Multimedia Information Retrieval, 2005)

Web image clustering by consistent utilization of visual features and surrounding texts. - Bin Gao 001; Tie-Yan Liu; Tao Qin 001; Xin Zheng; QianSheng Cheng; Wei-Ying Ma (ACM Multimedia, 2005)

Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; Wei-Ying Ma; HongJiang Zhang (MMM, 2005)

A study of relevance propagation for web search. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; Zheng Chen 001; Wei-Ying Ma (SIGIR, 2005)

Site abstraction for rare category classification in large-scale web directory. - Tie-Yan Liu; Hao Wan 003; Tao Qin 001; Zheng Chen 001; Yong Ren; Wei-Ying Ma (WWW (Special interest tracks and posters), 2005)

Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning. - Bin Gao 001; Tie-Yan Liu; Guang Feng; Tao Qin 001; QianSheng Cheng; Wei-Ying Ma (IEEE Trans. Knowl. Data Eng., 2005)

Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization. - Tie-Yan Liu; Huai-Yuan Yang; Xin Zheng; Tao Qin 001; Wei-Ying Ma (ECIR, 2007)

N -Step PageRank for Web Search. - Li Zhang; Tao Qin 001; Tie-Yan Liu; Ying Bao; Hang Li 001 (ECIR, 2007)

Learning to rank: from pairwise approach to listwise approach. - Zhe Cao; Tao Qin 001; Tie-Yan Liu; Ming-Feng Tsai; Hang Li 001 (ICML, 2007)

Feature selection for ranking. - Xiubo Geng; Tie-Yan Liu; Tao Qin 001; Hang Li 001 (SIGIR, 2007)

Ranking with multiple hyperplanes. - Tao Qin 001; Xu-Dong Zhang 001; De-Sheng Wang; Tie-Yan Liu; Wei Lai; Hang Li 001 (SIGIR, 2007)

FRank: a ranking method with fidelity loss. - Ming-Feng Tsai; Tie-Yan Liu; Tao Qin 001; Hsin-Hsi Chen; Wei-Ying Ma (SIGIR, 2007)

Supervised rank aggregation. - Yuting Liu 002; Tie-Yan Liu; Tao Qin 001; Zhiming Ma; Hang Li 001 (WWW, 2007)

Topic distillation via sub-site retrieval. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; Guang Feng; De-Sheng Wang; Wei-Ying Ma (Inf. Process. Manag., 2007)

Query-level stability and generalization in learning to rank. - Yanyan Lan; Tie-Yan Liu; Tao Qin 001; Zhiming Ma; Hang Li 001 (ICML, 2008)

Global Ranking Using Continuous Conditional Random Fields. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; De-Sheng Wang; Hang Li 001 (NIPS, 2008)

Query dependent ranking using K-nearest neighbor. - Xiubo Geng; Tie-Yan Liu; Tao Qin 001; Andrew Arnold; Hang Li 001; Heung-Yeung Shum (SIGIR, 2008)

Learning to rank relational objects and its application to web search. - Tao Qin 001; Tie-Yan Liu; Xu-Dong Zhang 001; De-Sheng Wang; Wen-Ying Xiong; Hang Li 001 (WWW, 2008)

Query-level loss functions for information retrieval. - Tao Qin 001; Xu-Dong Zhang 001; Ming-Feng Tsai; De-Sheng Wang; Tie-Yan Liu; Hang Li 001 (Inf. Process. Manag., 2008)

An active feedback framework for image retrieval. - Tao Qin 001; Xu-Dong Zhang 001; Tie-Yan Liu; De-Sheng Wang; Wei-Ying Ma; Hong-Jiang Zhang (Pattern Recognit. Lett., 2008)

Towards a trust aware cognitive radio architecture. - Tao Qin 001; Han Yu 001; Cyril Leung; Zhiqi Shen 001; Chunyan Miao (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009)

Learning to Rank with Supplementary Data. - Wenkui Ding; Tao Qin 001; Xu-Dong Zhang 001 (AIRS, 2010)

An Empirical Study on Learning to Rank of Tweets. - Yajuan Duan; Long Jiang; Tao Qin 001; Ming Zhou 001; Heung-Yeung Shum (COLING, 2010)

A New Probabilistic Model for Rank Aggregation. - Tao Qin 001; Xiubo Geng; Tie-Yan Liu (NIPS, 2010)

Ranking with query-dependent loss for web search. - Jiang Bian 002; Tie-Yan Liu; Tao Qin 001; Hongyuan Zha (WSDM, 2010)

A general approximation framework for direct optimization of information retrieval measures. - Tao Qin 001; Tie-Yan Liu; Hang Li 001 (Inf. Retr., 2010)

LETOR: A benchmark collection for research on learning to rank for information retrieval. - Tao Qin 001; Tie-Yan Liu; Jun Xu 001; Hang Li 001 (Inf. Retr., 2010)

Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation. - Tao Qin 001; Cyril Leung; Chunyan Miao; Zhiqi Shen 001 (J. Electr. Comput. Eng., 2010)

Selecting optimal training data for learning to rank. - Xiubo Geng; Tao Qin 001; Tie-Yan Liu; Xueqi Cheng; Hang Li 001 (Inf. Process. Manag., 2011)

A noise-tolerant graphical model for ranking. - Xiubo Geng; Tao Qin 001; Tie-Yan Liu; Xueqi Cheng (Inf. Process. Manag., 2012)

Multi-Armed Bandit with Budget Constraint and Variable Costs. - Wenkui Ding; Tao Qin 001; Xu-Dong Zhang 001; Tie-Yan Liu (AAAI, 2013)

Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising. - Min Xu; Tao Qin 001; Tie-Yan Liu (NIPS, 2013)

Optimal Allocation for Chunked-Reward Advertising. - Weihao Kong; Jian Li 015; Tie-Yan Liu; Tao Qin 001 (WINE, 2013)

$K$-anonymous Signaling Scheme. - Binyi Chen; Tao Qin 001; Tie-Yan Liu (CoRR, 2013)

Introducing LETOR 4.0 Datasets. - Tao Qin 001; Tie-Yan Liu (CoRR, 2013)

Pure Price of Anarchy for Generalized Second Price Auction - Wenkui Ding; Tao Wu; Tao Qin 001; Tie-Yan Liu (CoRR, 2013)

Revenue Optimization for Group-Buying Websites - Weihao Kong; Jian Li 015; Tao Qin 001; Tie-Yan Liu (CoRR, 2013)

Agent Behavior Prediction and Its Generalization Analysis. - Fei Tian; Haifang Li 002; Wei Chen 034; Tao Qin 001; Enhong Chen; Tie-Yan Liu (AAAI, 2014)

Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. - Yingce Xia; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAAI, 2014)

Generalized second price auctions with value externalities. - Weidong Ma; Tao Wu; Tao Qin 001; Tie-Yan Liu (AAMAS, 2014)

Generalized second price auction with probabilistic broad match. - Wei Chen 034; Di He 001; Tie-Yan Liu; Tao Qin 001; Yixin Tao; Liwei Wang 001 (EC, 2014)

Generalization Analysis for Game-Theoretic Machine Learning. - Haifang Li 002; Fei Tian; Wei Chen 034; Tao Qin 001; Tie-Yan Liu (CoRR, 2014)

Online Mechanism Design for Cloud Computing. - Weidong Ma; Bo Zheng; Tao Qin 001; Pingzhong Tang; Tie-Yan Liu (CoRR, 2014)

Advertiser-centric approach to understand user click behavior in sponsored search. - Sungchul Kim; Tao Qin 001; Tie-Yan Liu; Hwanjo Yu (Inf. Sci., 2014)

Sponsored Search Auctions: Recent Advances and Future Directions. - Tao Qin 001; Wei Chen 034; Tie-Yan Liu (ACM Trans. Intell. Syst. Technol., 2014)

Generalization Analysis for Game-Theoretic Machine Learning. - Haifang Li 002; Fei Tian; Wei Chen 034; Tao Qin 001; Zhiming Ma; Tie-Yan Liu (AAAI, 2015)

Mechanism Learning with Mechanism Induced Data. - Tie-Yan Liu; Wei Chen 034; Tao Qin 001 (AAAI, 2015)

Budgeted Bandit Problems with Continuous Random Costs. - Yingce Xia; Wenkui Ding; Xu-Dong Zhang 001; Nenghai Yu; Tao Qin 001 (ACML, 2015)

Mechanism Design for Daily Deals. - Binyi Chen; Tao Qin 001; Tie-Yan Liu (AAMAS, 2015)

Computing Quantal Response Equilibrium for Sponsored Search Auctions. - Jiang Rong; Tao Qin 001; Bo An 001 (AAMAS, 2015)

New Mechanism for Reservation in Cloud Computing. - Changjun Wang; Weidong Ma; Tao Qin 001; Feidiao Yang; Tie-Yan Liu; Xujin Chen; Xiao-Dong Hu 001 (AAMAS, 2015)

Competitive Pricing for Cloud Computing in an Evolutionary Market. - Bolei Xu; Tao Qin 001; Guoping Qiu; Tie-Yan Liu (AAMAS, 2015)

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. - Long Tran-Thanh; Yingce Xia; Tao Qin 001; Nicholas R. Jennings (IJCAI, 2015)

Selling Reserved Instances in Cloud Computing. - Changjun Wang; Weidong Ma; Tao Qin 001; Xujin Chen; Xiaodong Hu 001; Tie-Yan Liu (IJCAI, 2015)

Thompson Sampling for Budgeted Multi-Armed Bandits. - Yingce Xia; Haifang Li 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (IJCAI, 2015)

Optimal Pricing for the Competitive and Evolutionary Cloud Market. - Bolei Xu; Tao Qin 001; Guoping Qiu; Tie-Yan Liu (IJCAI, 2015)

Online Non-Preemptive Story Scheduling in Web Advertising. - Tie-Yan Liu; Weidong Ma; Tao Qin 001; Pingzhong Tang; Guang Yang 020; Bo Zheng (AAMAS, 2016)

Optimal Sample Size for Adword Auctions: (Extended Abstract). - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAMAS, 2016)

Best Action Selection in a Stochastic Environment. - Yingce Xia; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAMAS, 2016)

Posting Prices for a Perishable Item: (Extended Abstract). - Bo Zheng; Li Xiao; Guang Yang 020; Tao Qin 001 (AAMAS, 2016)

Modeling Bounded Rationality for Sponsored Search Auctions. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (ECAI, 2016)

Budgeted Multi-Armed Bandits with Multiple Plays. - Yingce Xia; Tao Qin 001; Weidong Ma; Nenghai Yu; Tie-Yan Liu (IJCAI, 2016)

Dual Learning for Machine Translation. - Di He 001; Yingce Xia; Tao Qin 001; Liwei Wang 001; Nenghai Yu; Tie-Yan Liu; Wei-Ying Ma (NIPS, 2016)

LightRNN: Memory and Computation-Efficient Recurrent Neural Networks. - Xiang Li 041; Tao Qin 001; Jian Yang 003; Tie-Yan Liu (NIPS, 2016)

Randomized Mechanisms for Selling Reserved Instances in Cloud. - Jia Zhang 004; Weidong Ma; Tao Qin 001; Xiaoming Sun 001; Tie-Yan Liu (CoRR, 2016)

Efficient Mechanism Design for Online Scheduling. - Xujin Chen; Xiaodong Hu 001; Tie-Yan Liu; Weidong Ma; Tao Qin 001; Pingzhong Tang; Changjun Wang; Bo Zheng (J. Artif. Intell. Res., 2016)

Revenue Maximization for Finitely Repeated Ad Auctions. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAAI, 2017)

Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. - Jia Zhang 004; Weidong Ma; Tao Qin 001; Xiaoming Sun 001; Tie-Yan Liu (AAAI, 2017)

Pricing Optimization for Selling Reusable Resources. - Jiang Rong; Tao Qin 001; Bo An 001; Tie-Yan Liu (AAMAS, 2017)

Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection. - Yan Tong; Jian Zhang; Wei Chen 034; Mingdi Xu; Tao Qin 001 (ChinaCom (2), 2017)

Convolutional neural networks for posed and spontaneous expression recognition. - Chang Xu 008; Tao Qin 001; Yalong Bai; Gang Wang 001; Tie-Yan Liu (ICME, 2017)

Dual Supervised Learning. - Yingce Xia; Tao Qin 001; Wei Chen 034; Jiang Bian 002; Nenghai Yu; Tie-Yan Liu (ICML, 2017)

Efficient Mechanism Design for Online Scheduling (Extended Abstract). - Xujin Chen; Xiaodong Hu 001; Tie-Yan Liu; Weidong Ma; Tao Qin 001; Pingzhong Tang; Changjun Wang; Bo Zheng (IJCAI, 2017)

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

Dual Inference for Machine Learning. - Yingce Xia; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (IJCAI, 2017)

Decoding with Value Networks for Neural Machine Translation. - Di He 001; Hanqing Lu; Yingce Xia; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (NIPS, 2017)

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

Sequence Generation with Target Attention. - Yingce Xia; Fei Tian; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (ECML/PKDD (1), 2017)

Scale Effects in Web Search. - Di He 001; Aadharsh Kannan; Tie-Yan Liu; R. Preston McAfee; Tao Qin 001; Justin M. Rao (WINE, 2017)

Learning What Data to Learn. - Yang Fan; Fei Tian; Tao Qin 001; Jiang Bian 002; Tie-Yan Liu (CoRR, 2017)

Question Answering and Question Generation as Dual Tasks. - Duyu Tang; Nan Duan; Tao Qin 001; Ming Zhou 001 (CoRR, 2017)

Reinforcement Learning for Learning Rate Control. - Chang Xu 008; Tao Qin 001; Gang Wang 001; Tie-Yan Liu (CoRR, 2017)

Finite budget analysis of multi-armed bandit problems. - Yingce Xia; Tao Qin 001; Wenkui Ding; Haifang Li 002; Xudong Zhang 001; Nenghai Yu; Tie-Yan Liu (Neurocomputing, 2017)

Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. - Jiang Rong; Tao Qin 001; Bo An 001 (AAAI, 2018)

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Guiquan Liu; Tie-Yan Liu (AAAI, 2018)

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

Double Path Networks for Sequence to Sequence Learning. - Kaitao Song; Xu Tan 003; Di He 001; Jianfeng Lu 003; Tao Qin 001; Tie-Yan Liu (COLING, 2018)

Conditional Image-to-Image Translation. - Jianxin Lin; Yingce Xia; Tao Qin 001; Zhibo Chen 001; Tie-Yan Liu (CVPR, 2018)

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

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

Learning to Teach. - Yang Fan; Fei Tian; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (ICLR (Poster), 2018)

Towards Binary-Valued Gates for Robust LSTM Training. - Zhuohan Li 001; Di He 001; Fei Tian; Wei Chen 034; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (ICML, 2018)

Model-Level Dual Learning. - Yingce Xia; Xu Tan 003; Fei Tian; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (ICML, 2018)

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

Dense Information Flow for Neural Machine Translation. - Yanyao Shen; Xu Tan 003; Di He 001; Tao Qin 001; Tie-Yan Liu (NAACL-HLT, 2018)

FRAGE: Frequency-Agnostic Word Representation. - ChengYue Gong; Di He 001; Xu Tan 003; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (NeurIPS, 2018)

Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. - Tianyu He; Xu Tan 003; Yingce Xia; Di He 001; Tao Qin 001; Zhibo Chen 001; Tie-Yan Liu (NeurIPS, 2018)

Neural Architecture Optimization. - Renqian Luo; Fei Tian; Tao Qin 001; Enhong Chen; Tie-Yan Liu (NeurIPS, 2018)

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

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

Neural Architecture Optimization. - Renqian Luo; Fei Tian; Tao Qin 001; Tie-Yan Liu (CoRR, 2018)

Computational pricing in Internet era. - Fei Tian; Tao Qin 001; Tie-Yan Liu (Frontiers Comput. Sci., 2018)

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. - ChengYue Gong; Xu Tan 003; Di He 001; Tao Qin 001 (AAAI, 2019)

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. - Junliang Guo; Xu Tan 003; Di He 001; Tao Qin 001; Linli Xu; Tie-Yan Liu (AAAI, 2019)

Trust Region Evolution Strategies. - Guoqing Liu; Li Zhao 007; Feidiao Yang; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (AAAI, 2019)

Non-Autoregressive Machine Translation with Auxiliary Regularization. - Yiren Wang; Fei Tian; Di He 001; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (AAAI, 2019)

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. - Yingce Xia; Tianyu He; Xu Tan 003; Fei Tian; Di He 001; Tao Qin 001 (AAAI, 2019)

Soft Contextual Data Augmentation for Neural Machine Translation. - Fei Gao 018; Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Tao Qin 001; Xueqi Cheng; Wengang Zhou 001; Tie-Yan Liu (ACL (1), 2019)

Unsupervised Pivot Translation for Distant Languages. - Yichong Leng; Xu Tan 003; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (ACL (1), 2019)

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

Unified Policy Optimization for Robust Reinforcement Learning. - Zichuan Lin; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Guangwen Yang (ACML, 2019)

Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. - Hao Sun; Xu Tan 003; Jun-Wei Gan; Sheng Zhao; Dongxu Han; Hongzhi Liu 001; Tao Qin 001; Tie-Yan Liu (ASRU, 2019)

Competitive Bridge Bidding with Deep Neural Networks. - Jiang Rong; Tao Qin 001; Bo An 001 (AAMAS, 2019)

Hint-Based Training for Non-Autoregressive Machine Translation. - Zhuohan Li 001; Zi Lin; Di He 001; Fei Tian; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. - Tao Shen 001; Xiubo Geng; Tao Qin 001; Daya Guo; Duyu Tang; Nan Duan; Guodong Long; Daxin Jiang (EMNLP/IJCNLP (1), 2019)

Multilingual Neural Machine Translation with Language Clustering. - Xu Tan 003; Jiale Chen 001; Di He 001; Yingce Xia; Tao Qin 001; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Exploiting Monolingual Data at Scale for Neural Machine Translation. - Lijun Wu 003; Yiren Wang; Yingce Xia; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Machine Translation With Weakly Paired Documents. - Lijun Wu 003; Jinhua Zhu 001; Di He 001; Fei Gao 018; Tao Qin 001; Jianhuang Lai; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Representation Degeneration Problem in Training Natural Language Generation Models. - Jun Gao 004; Di He 001; Xu Tan 003; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (ICLR (Poster), 2019)

Multilingual Neural Machine Translation with Knowledge Distillation. - Xu Tan 003; Yi Ren 006; Di He 001; Tao Qin 001; Zhou Zhao 001; Tie-Yan Liu (ICLR (Poster), 2019)

Multi-Agent Dual Learning. - Yiren Wang; Yingce Xia; Tianyu He; Fei Tian; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (ICLR (Poster), 2019)

Efficient Training of BERT by Progressively Stacking. - Linyuan Gong; Di He 001; Zhuohan Li 001; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (ICML, 2019)

Almost Unsupervised Text to Speech and Automatic Speech Recognition. - Yi Ren 006; Xu Tan 003; Tao Qin 001; Sheng Zhao; Zhou Zhao 001; Tie-Yan Liu (ICML, 2019)

MASS: Masked Sequence to Sequence Pre-training for Language Generation. - Kaitao Song; Xu Tan 003; Tao Qin 001; Jianfeng Lu 003; Tie-Yan Liu (ICML, 2019)

Deliberation Learning for Image-to-Image Translation. - Tianyu He; Yingce Xia; Jianxin Lin; Xu Tan 003; Di He 001; Tao Qin 001; Zhibo Chen 001 (IJCAI, 2019)

Image-to-Image Translation with Multi-Path Consistency Regularization. - Jianxin Lin; Yingce Xia; Yijun Wang 002; Tao Qin 001; Zhibo Chen 001 (IJCAI, 2019)

Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. - Chang Xu 008; Tao Qin 001; Gang Wang 001; Tie-Yan Liu (IJCAI, 2019)

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. - Hao Sun; Xu Tan 003; Jun-Wei Gan; Hongzhi Liu 001; Sheng Zhao; Tao Qin 001; Tie-Yan Liu (INTERSPEECH, 2019)

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. - Zhige Li; Derek Yang; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (KDD, 2019)

Normalization Helps Training of Quantized LSTM. - Lu Hou 002; Jinhua Zhu 001; James T. Kwok; Fei Gao 018; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2019)

Distributional Reward Decomposition for Reinforcement Learning. - Zichuan Lin; Li Zhao 007; Derek Yang; Tao Qin 001; Tie-Yan Liu; Guangwen Yang (NeurIPS, 2019)

FastSpeech: Fast, Robust and Controllable Text to Speech. - Yi Ren 006; Yangjun Ruan; Xu Tan 003; Tao Qin 001; Sheng Zhao; Zhou Zhao 001; Tie-Yan Liu (NeurIPS, 2019)

Neural Machine Translation with Soft Prototype. - Yiren Wang; Yingce Xia; Fei Tian; Fei Gao 018; Tao Qin 001; ChengXiang Zhai; Tie-Yan Liu (NeurIPS, 2019)

Fully Parameterized Quantile Function for Distributional Reinforcement Learning. - Derek Yang; Li Zhao 007; Zichuan Lin; Tao Qin 001; Jiang Bian 002; Tie-Yan Liu (NeurIPS, 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Di He 001; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; et al. (WMT (2), 2019)

Unpaired Image-to-Image Translation with Domain Supervision. - Jianxin Lin; Sen Liu 001; Yingce Xia; Shuxin Zhao; Tao Qin 001; Zhibo Chen 001 (CoRR, 2019)

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. - Jianxin Lin; Yingce Xia; Sen Liu 001; Tao Qin 001; Zhibo Chen 001 (CoRR, 2019)

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. - Yiping Lu 001; Zhuohan Li 001; Di He 001; Zhiqing Sun; Bin Dong 001; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (CoRR, 2019)

Language Graph Distillation for Low-Resource Machine Translation. - Tianyu He; Jiale Chen 001; Xu Tan 003; Tao Qin 001 (CoRR, 2019)

Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation. - Tianyu He; Xu Tan 003; Tao Qin 001 (CoRR, 2019)

Efficient Bidirectional Neural Machine Translation. - Xu Tan 003; Yingce Xia; Lijun Wu 003; Tao Qin 001 (CoRR, 2019)

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. - Tao Shen 001; Xiubo Geng; Tao Qin 001; Guodong Long; Jing Jiang 002; Daxin Jiang (CoRR, 2019)

Understanding and Improving One-shot Neural Architecture Optimization. - Renqian Luo; Tao Qin 001; Enhong Chen (CoRR, 2019)

Microsoft Research Asia's Systems for WMT19. - Yingce Xia; Xu Tan 003; Fei Tian; Fei Gao 018; Weicong Chen; Yang Fan; Linyuan Gong; Yichong Leng; Renqian Luo; Yiren Wang; Lijun Wu 003; Jinhua Zhu 001; et al. (CoRR, 2019)

A Study of Multilingual Neural Machine Translation. - Xu Tan 003; Yichong Leng; Jiale Chen 001; Yi Ren 006; Tao Qin 001; Tie-Yan Liu (CoRR, 2019)

Competitive Cloud Pricing for Long-Term Revenue Maximization. - Jiang Rong; Tao Qin 001; Bo An 001 (J. Comput. Sci. Technol., 2019)

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. - Yijun Wang 002; Yingce Xia; Li Zhao 007; Jiang Bian 002; Tao Qin 001; Enhong Chen; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

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

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Junliang Guo; Xu Tan 003; Linli Xu; Tao Qin 001; Enhong Chen; Tie-Yan Liu (AAAI, 2020)

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

SimulSpeech: End-to-End Simultaneous Speech to Text Translation. - Yi Ren 006; Jinglin Liu; Xu Tan 003; Chen Zhang 020; Tao Qin 001; Zhou Zhao 001; Tie-Yan Liu (ACL, 2020)

Towards Interpretable Reasoning over Paragraph Effects in Situation. - Mucheng Ren; Xiubo Geng; Tao Qin 001; Heyan Huang; Daxin Jiang (EMNLP (1), 2020)

Incorporating BERT into Neural Machine Translation. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Di He 001; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2020)

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

Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Jinglin Liu; Yi Ren 006; Xu Tan 003; Chen Zhang 020; Tao Qin 001; Zhou Zhao 001; Tie-Yan Liu (IJCAI, 2020)

MultiSpeech: Multi-Speaker Text to Speech with Transformer. - Mingjian Chen; Xu Tan 003; Yi Ren 006; Jin Xu 010; Hao Sun; Sheng Zhao; Tao Qin 001 (INTERSPEECH, 2020)

DeepSinger: Singing Voice Synthesis with Data Mined From the Web. - Yi Ren 006; Xu Tan 003; Tao Qin 001; Jian Luan 001; Zhou Zhao 001; Tie-Yan Liu (KDD, 2020)

LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. - Jin Xu 010; Xu Tan 003; Yi Ren 006; Tao Qin 001; Jian Li 015; Sheng Zhao; Tie-Yan Liu (KDD, 2020)

DualLip: A System for Joint Lip Reading and Generation. - Weicong Chen; Xu Tan 003; Yingce Xia; Tao Qin 001; Yu Wang 002; Tie-Yan Liu (ACM Multimedia, 2020)

PopMAG: Pop Music Accompaniment Generation. - Yi Ren 006; Jinzheng He; Xu Tan 003; Tao Qin 001; Zhou Zhao 001; Tie-Yan Liu (ACM Multimedia, 2020)

RD$^2$: Reward Decomposition with Representation Decomposition. - Zichuan Lin; Derek Yang; Li Zhao 007; Tao Qin 001; Guangwen Yang; Tie-Yan Liu (NeurIPS, 2020)

Semi-Supervised Neural Architecture Search. - Renqian Luo; Xu Tan 003; Rui Wang 028; Tao Qin 001; Enhong Chen; Tie-Yan Liu (NeurIPS, 2020)

MPNet: Masked and Permuted Pre-training for Language Understanding. - Kaitao Song; Xu Tan 003; Tao Qin 001; Jianfeng Lu 003; Tie-Yan Liu (NeurIPS, 2020)

Suphx: Mastering Mahjong with Deep Reinforcement Learning. - Junjie Li; Sotetsu Koyamada; Qiwei Ye; Guoqing Liu; Chao Wang; Ruihan Yang; Li Zhao 007; Tao Qin 001; Tie-Yan Liu; Hsiao-Wuen Hon (CoRR, 2020)

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. - Kaitao Song; Hao Sun; Xu Tan 003; Tao Qin 001; Jianfeng Lu 003; Hongzhi Liu 001; Tie-Yan Liu (CoRR, 2020)

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

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

Neural Architecture Search with GBDT. - Renqian Luo; Xu Tan 003; Rui Wang 028; Tao Qin 001; Enhong Chen; Tie-Yan Liu (CoRR, 2020)

Learn to Use Future Information in Simultaneous Translation. - Xueqing Wu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Learning to Match Distributions for Domain Adaptation. - Chaohui Yu; Jindong Wang 001; Chang Liu 030; Tao Qin 001; Renjun Xu; Wenjie Feng 001; Yiqiang Chen 001; Tie-Yan Liu (CoRR, 2020)

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis. - Jiawei Chen 008; Xu Tan 003; Jian Luan 001; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Houqiang Li (CoRR, 2020)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2020)

Latent Causal Invariant Model. - Xinwei Sun 001; Botong Wu; Chang Liu 030; Xiangyu Zheng; Wei Chen 034; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Searching Better Architectures for Neural Machine Translation. - Yang Fan; Fei Tian; Yingce Xia; Tao Qin 001; Xiang-Yang Li 001; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Joint Learning of Question Answering and Question Generation. - Yibo Sun; Duyu Tang; Nan Duan; Tao Qin 001; Shujie Liu 001; Zhao Yan; Ming Zhou 001; Yuanhua Lv; Wenpeng Yin 001; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (IEEE Trans. Knowl. Data Eng., 2020)

Learning to Reweight with Deep Interactions. - Yang Fan; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Weiqing Liu; Jiang Bian 002; Tao Qin 001; Xiang-Yang Li 001 (AAAI, 2021)

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. - Zhonghao Sheng; Kaitao Song; Xu Tan 003; Yi Ren 006; Wei Ye 004; Shikun Zhang; Tao Qin 001 (AAAI, 2021)

UWSpeech: Speech to Speech Translation for Unwritten Languages. - Chen Zhang 020; Xu Tan 003; Yi Ren 006; Tao Qin 001; Kejun Zhang; Tie-Yan Liu (AAAI, 2021)

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. - Lanqing Xue; Kaitao Song; Duocai Wu; Xu Tan 003; Nevin L. Zhang; Tao Qin 001; Wei-Qiang Zhang; Tie-Yan Liu (ACL/IJCNLP (1), 2021)

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training. - Mingliang Zeng; Xu Tan 003; Rui Wang 028; Zeqian Ju; Tao Qin 001; Tie-Yan Liu (ACL/IJCNLP (Findings), 2021)

AdaRNN: Adaptive Learning and Forecasting of Time Series. - Yuntao Du 001; Jindong Wang 001; Wenjie Feng 001; Sinno Jialin Pan; Tao Qin 001; Renjun Xu; Chongjun Wang (CIKM, 2021)

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. - Yichong Leng; Xu Tan 003; Rui Wang 028; Linchen Zhu; Jin Xu 010; Wenjie Liu; Linquan Liu; Xiang-Yang Li 001; Tao Qin 001; Edward Lin; Tie-Yan Liu (EMNLP (Findings), 2021)

MBNET: MOS Prediction for Synthesized Speech with Mean-Bias Network. - Yichong Leng; Xu Tan 003; Sheng Zhao; Frank K. Soong; Xiang-Yang Li 001; Tao Qin 001 (ICASSP, 2021)

Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. - Renqian Luo; Xu Tan 003; Rui Wang 028; Tao Qin 001; Jinzhu Li; Sheng Zhao; Enhong Chen; Tie-Yan Liu (ICASSP, 2021)

MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. - Linghui Meng 001; Jin Xu 010; Xu Tan 003; Jindong Wang 001; Tao Qin 001; Bo Xu 002 (ICASSP, 2021)

Adaspeech 2: Adaptive Text to Speech with Untranscribed Data. - Yuzi Yan; Xu Tan 003; Bohan Li 003; Tao Qin 001; Sheng Zhao; Yuan Shen 001; Tie-Yan Liu (ICASSP, 2021)

Denoispeech: Denoising Text to Speech with Frame-Level Noise Modeling. - Chen Zhang 020; Yi Ren 006; Xu Tan 003; Jinglin Liu; Kejun Zhang; Tao Qin 001; Sheng Zhao; Tie-Yan Liu (ICASSP, 2021)

Towards Generating Real-World Time Series Data. - Hengzhi Pei; Kan Ren; Yuqing Yang 001; Chang Liu 030; Tao Qin 001; Dongsheng Li 002 (ICDM, 2021)

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech. - Yi Ren 006; Chenxu Hu; Xu Tan 003; Tao Qin 001; Sheng Zhao; Zhou Zhao 001; Tie-Yan Liu (ICLR, 2021)

AdaSpeech: Adaptive Text to Speech for Custom Voice. - Mingjian Chen; Xu Tan 003; Bohan Li 003; Yanqing Liu; Tao Qin 001; Sheng Zhao; Tie-Yan Liu (ICLR, 2021)

Return-Based Contrastive Representation Learning for Reinforcement Learning. - Guoqing Liu; Chuheng Zhang; Li Zhao 007; Tao Qin 001; Jinhua Zhu 001; Jian Li 015; Nenghai Yu; Tie-Yan Liu (ICLR, 2021)

IOT: Instance-wise Layer Reordering for Transformer Structures. - Jinhua Zhu 001; Lijun Wu 003; Yingce Xia; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2021)

Temporally Correlated Task Scheduling for Sequence Learning. - Xueqing Wu 001; Lewen Wang; Yingce Xia; Weiqing Liu; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (ICML, 2021)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001 (IJCAI, 2021)

A Survey on Low-Resource Neural Machine Translation. - Rui Wang 028; Xu Tan 003; Renqian Luo; Tao Qin 001; Tie-Yan Liu (IJCAI, 2021)

Independence-aware Advantage Estimation. - Pushi Zhang; Li Zhao 007; Guoqing Liu; Jiang Bian 002; Minlie Huang; Tao Qin 001; Tie-Yan Liu (IJCAI, 2021)

Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. - Wenxin Hou; Jindong Wang 001; Xu Tan 003; Tao Qin 001; Takahiro Shinozaki (Interspeech, 2021)

Adaptive Text to Speech for Spontaneous Style. - Yuzi Yan; Xu Tan 003; Bohan Li 003; Guangyan Zhang; Tao Qin 001; Sheng Zhao; Yuan Shen 001; Wei-Qiang Zhang; Tie-Yan Liu (Interspeech, 2021)

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Yang Fan; Tao Qin 001 (IWSLT, 2021)

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. - Jin Xu 010; Xu Tan 003; Renqian Luo; Kaitao Song; Jian Li 015; Tao Qin 001; Tie-Yan Liu (KDD, 2021)

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

Speech-T: Transducer for Text to Speech and Beyond. - Jiawei Chen 008; Xu Tan 003; Yichong Leng; Jin Xu 010; Guihua Wen; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2021)

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. - Yichong Leng; Xu Tan 003; Linchen Zhu; Jin Xu 010; Renqian Luo; Linquan Liu; Tao Qin 001; Xiangyang Li 001; Edward Lin; Tie-Yan Liu (NeurIPS, 2021)

R-Drop: Regularized Dropout for Neural Networks. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Yue Wang 039; Qi Meng; Tao Qin 001; Wei Chen 034; Min Zhang 005; Tie-Yan Liu (NeurIPS, 2021)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Haoyue Tang; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (NeurIPS, 2021)

On the Generative Utility of Cyclic Conditionals. - Chang Liu 030; Haoyue Tang; Tao Qin 001; Jintao Wang; Tie-Yan Liu (NeurIPS, 2021)

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. - Jongjin Park; Younggyo Seo; Chang Liu 030; Li Zhao 007; Tao Qin 001; Jinwoo Shin; Tie-Yan Liu (NeurIPS, 2021)

Recovering Latent Causal Factor for Generalization to Distributional Shifts. - Xinwei Sun 001; Botong Wu; Xiangyu Zheng; Chang Liu 030; Wei Chen 034; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2021)

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. - Pushi Zhang; Xiaoyu Chen; Li Zhao 007; Wei Xiong 015; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2021)

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. - Zhihan Zhang 001; Xiubo Geng; Tao Qin 001; Yunfang Wu; Daxin Jiang (WWW, 2021)

Learning Invariant Representations across Domains and Tasks. - Jindong Wang 001; Wenjie Feng 001; Chang Liu 030; Chaohui Yu; Mingxuan Du; Renjun Xu; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

Learning Structures for Deep Neural Networks. - Jinhui Yuan; Fei Pan; Chunting Zhou; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. - Sang-gil Lee; Heeseung Kim; Chaehun Shin; Xu Tan 003; Chang Liu 030; Qi Meng; Tao Qin 001; Wei Chen 034; Sungroh Yoon; Tie-Yan Liu (CoRR, 2021)

Dual-view Molecule Pre-training. - Jinhua Zhu 001; Yingce Xia; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (CoRR, 2021)

A Survey on Neural Speech Synthesis. - Xu Tan 003; Tao Qin 001; Frank K. Soong; Tie-Yan Liu (CoRR, 2021)

AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style. - Yuzi Yan; Xu Tan 003; Bohan Li 003; Guangyan Zhang; Tao Qin 001; Sheng Zhao; Yuan Shen 001; Wei-Qiang Zhang; Tie-Yan Liu (CoRR, 2021)

Discovering Drug-Target Interaction Knowledge from Biomedical Literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Wanxiang Che; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. - Yichong Leng; Xu Tan 003; Rui Wang 028; Linchen Zhu; Jin Xu 010; Linquan Liu; Tao Qin 001; Xiang-Yang Li 001; Edward Lin; Tie-Yan Liu (CoRR, 2021)

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

Federated Learning with Adaptive Batchnorm for Personalized Healthcare. - Yiqiang Chen 001; Wang Lu; Jindong Wang 001; Xin Qin; Tao Qin 001 (CoRR, 2021)

Demonstration actor critic. - Guoqing Liu; Li Zhao 007; Pushi Zhang; Jiang Bian 002; Tao Qin 001; Nenghai Yu; Tie-Yan Liu (Neurocomputing, 2021)

Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. - Jianxin Lin; Zhibo Chen 001; Yingce Xia; Sen Liu 001; Tao Qin 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Dual Learning: Theoretical Study and an Algorithmic Extension. - Zhibing Zhao; Yingce Xia; Tao Qin 001; Lirong Xia; Tie-Yan Liu (SN Comput. Sci., 2021)

Revisiting Over-Smoothness in Text to Speech. - Yi Ren 006; Xu Tan 003; Tao Qin 001; Zhou Zhao 001; Tie-Yan Liu (ACL (1), 2022)

Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. - Guoqing Liu; Mengzhang Cai; Li Zhao 007; Tao Qin 001; Adrian Brown; Jimmy Bischoff; Tie-Yan Liu (CoG, 2022)

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. - Zeqian Ju; Peiling Lu; Xu Tan 003; Rui Wang 031; Chen Zhang 020; Songruoyao Wu; Kejun Zhang; Xiang-Yang Li 001; Tao Qin 001; Tie-Yan Liu (EMNLP, 2022)

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. - Yuanying Cai; Chuheng Zhang; Li Zhao 007; Wei Shen 005; Xuyun Zhang; Lei Song 001; Jiang Bian 002; Tao Qin 001; Tieyan Liu (ICDM, 2022)

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

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. - Jiawei Huang; Jinglin Chen; Li Zhao 007; Tao Qin 001; Nan Jiang 008; Tie-Yan Liu (ICLR, 2022)

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. - Sang-gil Lee; Heeseung Kim; Chaehun Shin; Xu Tan 003; Chang Liu 030; Qi Meng; Tao Qin 001; Wei Chen 034; Sungroh Yoon; Tie-Yan Liu (ICLR, 2022)

Supervised Off-Policy Ranking. - Yue Jin; Yue Zhang; Tao Qin 001; Xudong Zhang 001; Jian Yuan; Houqiang Li; Tie-Yan Liu (ICML, 2022)

Analyzing and Mitigating Interference in Neural Architecture Search. - Jin Xu 010; Xu Tan 003; Kaitao Song; Renqian Luo; Yichong Leng; Tao Qin 001; Tie-Yan Liu; Jian Li 015 (ICML, 2022)

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. - Yihan Wu; Xu Tan 003; Bohan Li 003; Lei He 005; Sheng Zhao; Ruihua Song; Tao Qin 001; Tie-Yan Liu (INTERSPEECH, 2022)

Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech. - Guangyan Zhang; Kaitao Song; Xu Tan 003; Daxin Tan; Yuzi Yan; Yanqing Liu; Gang Wang 001; Wei Zhou; Tao Qin 001; Tan Lee 001; Sheng Zhao (INTERSPEECH, 2022)

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. - Chen Zhang 020; Jiaxing Yu; LuChin Chang; Xu Tan 003; Jiawei Chen 008; Tao Qin 001; Kejun Zhang (ISMIR, 2022)

MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. - Peiling Lu; Xu Tan 003; Botao Yu; Tao Qin 001; Sheng Zhao; Tie-Yan Liu (ISMIR, 2022)

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

Unified 2D and 3D Pre-Training of Molecular Representations. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (KDD, 2022)

ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. - Chen Zhang 020; LuChin Chang; Songruoyao Wu; Xu Tan 003; Tao Qin 001; Tie-Yan Liu; Kejun Zhang (ACM Multimedia, 2022)

Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations. - Akiko Eriguchi; Shufang Xie 003; Tao Qin 001; Hany Hassan (NAACL-HLT, 2022)

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. - Kexun Zhang; Rui Wang 028; Xu Tan 003; Junliang Guo; Yi Ren 006; Tao Qin 001; Tie-Yan Liu (NAACL-HLT, 2022)

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. - Xiaoyu Chen; Xiangming Zhu 002; Yufeng Zheng; Pushi Zhang; Li Zhao 007; Wenxue Cheng; Peng Cheng 005; Yongqiang Xiong; Tao Qin 001; Jianyu Chen; Tie-Yan Liu (NeurIPS, 2022)

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. - Jiawei Huang; Li Zhao 007; Tao Qin 001; Wei Chen 034; Nan Jiang 008; Tie-Yan Liu (NeurIPS, 2022)

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. - Yichong Leng; Zehua Chen; Junliang Guo; Haohe Liu; Jiawei Chen 008; Xu Tan 003; Danilo P. Mandic; Lei He 005; Xiangyang Li 001; Tao Qin 001; Sheng Zhao; Tie-Yan Liu (NeurIPS, 2022)

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. - Kaitao Song; Yichong Leng; Xu Tan 003; Yicheng Zou; Tao Qin 001; Dongsheng Li 002 (NeurIPS, 2022)

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. - Botao Yu; Peiling Lu; Rui Wang 028; Wei Hu; Xu Tan 003; Wei Ye 004; Shikun Zhang; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2022)

SPRoBERTa: protein embedding learning with local fragment modeling. - Lijun Wu 003; Chengcan Yin; Jinhua Zhu 001; Zhen Wu 002; Liang He 010; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2022)

Back translation for molecule generation. - Yang Fan; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Bioinform., 2022)

You May Not Need Ratio Clipping in PPO. - Mingfei Sun 001; Vitaly Kurin; Guoqing Liu; Sam Devlin; Tao Qin 001; Katja Hofmann; Shimon Whiteson (CoRR, 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Yusong Wang; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (CoRR, 2022)

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu (CoRR, 2022)

Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations. - Akiko Eriguchi; Shufang Xie 003; Tao Qin 001; Hany Hassan Awadalla (CoRR, 2022)

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. - Kehan Wu; Yingce Xia; Yang Fan; Pan Deng; Haiguang Liu; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Tao Qin 001; Tie-Yan Liu (CoRR, 2022)

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (CoRR, 2022)

A study of BERT for context-aware neural machine translation. - Xueqing Wu 001; Yingce Xia; Jinhua Zhu 001; Lijun Wu 003; Shufang Xie 003; Tao Qin 001 (Mach. Learn., 2022)

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

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. - Wenxin Hou; Han Zhu 004; Yidong Wang; Jindong Wang 001; Tao Qin 001; Renjun Xu; Takahiro Shinozaki (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Multi-Teacher Distillation With Single Model for Neural Machine Translation. - Xiaobo Liang; Lijun Wu 003; Juntao Li; Tao Qin 001; Min Zhang 005; Tie-Yan Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Yusong Wang; Tong Wang 014; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Haiguang Liu; Tie-Yan Liu (Trans. Mach. Learn. Res., 2022)

Image-to-Image Translation: Methods and Applications. - Yingxue Pang; Jianxin Lin; Tao Qin 001; Zhibo Chen 001 (IEEE Trans. Multim., 2022)

BioGPT: generative pre-trained transformer for biomedical text generation and mining. - Renqian Luo; Liai Sun; Yingce Xia; Tao Qin 001; Sheng Zhang 012; Hoifung Poon; Tie-Yan Liu (Briefings Bioinform., 2022)

Discovering drug-target interaction knowledge from biomedical literature. - Yutai Hou; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Yang Fan; Jinhua Zhu 001; Tao Qin 001; Tie-Yan Liu (Bioinform., 2022)

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

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. - Yan Jin 005; Yuandong Ding; Xuanhao Pan; Kun He 001; Li Zhao 007; Tao Qin 001; Lei Song 001; Jiang Bian 002 (AAAI, 2023)

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. - Yichong Leng; Xu Tan 003; Wenjie Liu; Kaitao Song; Rui Wang 028; Xiang-Yang Li 001; Tao Qin 001; Edward Lin; Tie-Yan Liu (AAAI, 2023)

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

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

Extract and Attend: Improving Entity Translation in Neural Machine Translation. - Zixin Zeng; Rui Wang 028; Yichong Leng; Junliang Guo; Shufang Xie 003; Xu Tan 003; Tao Qin 001; Tie-Yan Liu (ACL (Findings), 2023)

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. - Siun Kim; Jung-Hyun Won; David Seung U. Lee; Renqian Luo; Lijun Wu 003; Yingce Xia; Tao Qin 001; Howard Lee (CHIL, 2023)

De Novo Molecular Generation via Connection-aware Motif Mining. - Zijie Geng; Shufang Xie 003; Yingce Xia; Lijun Wu 003; Tao Qin 001; Jie Wang 005; Yongdong Zhang 001; Feng Wu 001; Tie-Yan Liu (ICLR, 2023)

Making Better Decision by Directly Planning in Continuous Control. - Jinhua Zhu 001; Yue Wang 017; Lijun Wu 003; Tao Qin 001; Wengang Zhou 001; Tie-Yan Liu; Houqiang Li (ICLR, 2023)

𝒪-GNN: incorporating ring priors into molecular modeling. - Jinhua Zhu 001; Kehan Wu; Bohan Wang; Yingce Xia; Shufang Xie 003; Qi Meng; Lijun Wu 003; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Tie-Yan Liu (ICLR, 2023)

Retrosynthetic Planning with Dual Value Networks. - Guoqing Liu; Di Xue; Shufang Xie 003; Yingce Xia; Austin Tripp; Krzysztof Maziarz; Marwin H. S. Segler; Tao Qin 001; Zongzhang Zhang; Tie-Yan Liu (ICML, 2023)

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (KDD, 2023)

Dual-view Molecular Pre-training. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Shufang Xie 003; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (KDD, 2023)

FABind: Fast and Accurate Protein-Ligand Binding. - Qizhi Pei; Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Kun He 001; Tie-Yan Liu; Rui Yan 001 (NeurIPS, 2023)

N-Gram Nearest Neighbor Machine Translation. - Rui Lv; Junliang Guo; Rui Wang 028; Xu Tan 003; Qi Liu; Tao Qin 001 (CoRR, 2023)

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

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. - Kai Shen; Zeqian Ju; Xu Tan 003; Yanqing Liu; Yichong Leng; Lei He 005; Tao Qin 001; Sheng Zhao; Jiang Bian 002 (CoRR, 2023)

ResiDual: Transformer with Dual Residual Connections. - Shufang Xie 003; Huishuai Zhang; Junliang Guo; Xu Tan 003; Jiang Bian 002; Hany Hassan Awadalla; Arul Menezes; Tao Qin 001; Rui Yan 001 (CoRR, 2023)

Extract and Attend: Improving Entity Translation in Neural Machine Translation. - Zixin Zeng; Rui Wang 028; Yichong Leng; Junliang Guo; Xu Tan 003; Tao Qin 001; Tie-Yan Liu (CoRR, 2023)

PromptTTS 2: Describing and Generating Voices with Text Prompt. - Yichong Leng; Zhifang Guo; Kai Shen; Xu Tan 003; Zeqian Ju; Yanqing Liu; Yufei Liu; Dongchao Yang; Leying Zhang; Kaitao Song; Lei He 005; Xiang-Yang Li 001; et al. (CoRR, 2023)

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. - Harsha Nori; Yin Tat Lee; Sheng Zhang 012; Dean Carignan; Richard Edgar; Nicolò Fusi; Nicholas King; Jonathan Larson; Yuanzhi Li; Weishung Liu; Renqian Luo; Scott Mayer McKinney; et al. (CoRR, 2023)

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. - Jiacheng Lin; Lijun Wu 003; Jinhua Zhu 001; Xiaobo Liang; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2023)

Masked Contrastive Representation Learning for Reinforcement Learning. - Jinhua Zhu 001; Yingce Xia; Lijun Wu 003; Jiajun Deng; Wengang Zhou 001; Tao Qin 001; Tie-Yan Liu; Houqiang Li (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. - Qian Liu 012; Xiubo Geng; Heyan Huang; Tao Qin 001; Jie Lu 001; Daxin Jiang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001; Wang Lu; Yiqiang Chen 001; Wenjun Zeng 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Breaking the barriers of data scarcity in drug-target affinity prediction. - Qizhi Pei; Lijun Wu 003; Jinhua Zhu 001; Yingce Xia; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Tie-Yan Liu; Rui Yan 001 (Briefings Bioinform., 2023)

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. - Yisheng Xiao; Lijun Wu 003; Junliang Guo; Juntao Li; Min Zhang 005; Tao Qin 001; Tie-Yan Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. - Yuxin Zhang; Jindong Wang 001; Yiqiang Chen 001; Han Yu 001; Tao Qin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Regeneration Learning: A Learning Paradigm for Data Generation. - Xu Tan 003; Tao Qin 001; Jiang Bian 002; Tie-Yan Liu; Yoshua Bengio (AAAI, 2024)

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. - Qizhi Pei; Lijun Wu 003; Kaiyuan Gao; Xiaozhuan Liang; Yin Fang; Jinhua Zhu 001; Shufang Xie 003; Tao Qin 001; Rui Yan 001 (ACL (Findings), 2024)

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

PromptTTS 2: Describing and Generating Voices with Text Prompt. - Yichong Leng; Zhifang Guo; Kai Shen; Zeqian Ju; Xu Tan 003; Eric Liu; Yufei Liu; Dongchao Yang; Leying Zhang; Kaitao Song; Lei He 005; Xiangyang Li 001; et al. (ICLR, 2024)

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. - Kai Shen; Zeqian Ju; Xu Tan 003; Eric Liu; Yichong Leng; Lei He 005; Tao Qin 001; Sheng Zhao; Jiang Bian 002 (ICLR, 2024)

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. - Zeqian Ju; Yuancheng Wang; Kai Shen; Xu Tan 003; Detai Xin; Dongchao Yang; Eric Liu; Yichong Leng; Kaitao Song; Siliang Tang; Zhizheng Wu 001; Tao Qin 001; et al. (ICML, 2024)

Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. - Ang Lv; Xu Tan 003; Tao Qin 001; Tie-Yan Liu; Rui Yan 001 (IJCAI, 2024)

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. - Yuxuan Ren; Dihan Zheng; Chang Liu 030; Peiran Jin; Yu Shi; Lin Huang; Jiyan He; Shengjie Luo; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2024)

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. - Qizhi Pei; Lijun Wu 003; Kaiyuan Gao; Jinhua Zhu 001; Yue Wang 017; Zun Wang; Tao Qin 001; Rui Yan 001 (CoRR, 2024)

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. - Zeqian Ju; Yuancheng Wang; Kai Shen; Xu Tan 003; Detai Xin; Dongchao Yang; Yanqing Liu; Yichong Leng; Kaitao Song; Siliang Tang; Zhizheng Wu 001; Tao Qin 001; et al. (CoRR, 2024)

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. - Kaiyuan Gao; Qizhi Pei; Jinhua Zhu 001; Tao Qin 001; Kun He 001; Lijun Wu 003 (CoRR, 2024)

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

MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation. - Shuqi Li; Shufang Xie 003; Hongda Sun 001; Yuhan Chen 001; Tao Qin 001; Tianjun Ke; Rui Yan 001 (CoRR, 2024)

NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. - Xu Tan 003; Jiawei Chen 008; Haohe Liu; Jian Cong; Chen Zhang 020; Yanqing Liu; Xi Wang 016; Yichong Leng; Yuanhao Yi; Lei He 005; Sheng Zhao; Tao Qin 001; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

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

Personalized Federated Learning With Adaptive Batchnorm for Healthcare. - Wang Lu; Jindong Wang 001; Yiqiang Chen 001; Xin Qin; Renjun Xu; Dimitrios Dimitriadis; Tao Qin 001 (IEEE Trans. Big Data, 2024)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. - Liya Guo; Zun Wang; Chang Liu 030; Junzhe Li; Pipi Hu; Yi Zhu 010; Tao Qin 001 (Trans. Mach. Learn. Res., 2025)

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. - Yunyang Li; Lin Huang; Zhihao Ding; Chu Wang; Xinran Wei; Han Yang; Zun Wang; Chang Liu 030; Yu Shi; Peiran Jin; Jia Zhang 004; Mark Gerstein; et al. (CoRR, 2025)

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

HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model. - Mingqian Ma; Guoqing Liu; Chuan Cao; Pan Deng; Tri Dao; Albert Gu; Peiran Jin; Zhao Yang 006; Yingce Xia; Renqian Luo; Pipi Hu; Zun Wang; et al. (CoRR, 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

MoonCast: High-Quality Zero-Shot Podcast Generation. - Zeqian Ju; Dongchao Yang; Jianwei Yu 001; Kai Shen; Yichong Leng; Zhengtao Wang; Xu Tan 003; Xinyu Zhou; Tao Qin 001; Xiangyang Li 001 (CoRR, 2025)

Chain-of-Model Learning for Language Model. - Kaitao Song; Xiaohua Wang; Xu Tan 003; Huiqiang Jiang; Chengruidong Zhang; Yongliang Shen 001; Cen LU; Zihao Li 006; Zifan Song; Caihua Shan; Yansen Wang; Kan Ren; et al. (CoRR, 2025)