Qin, Tao

131 publications

IJCAI 2025 Adversarial Propensity Weighting for Debiasing in Collaborative Filtering Kuiyu Zhu, Tao Qin, Pinghui Wang, Xin Wang

IJCAI 2025 Attention-Based Conditional Random Field for Financial Fraud Detection Xiaoguang Wang, Chenxu Wang, Luyue Zhang, Xiaole Wang, Mengqin Wang, Huanlong Liu, Tao Qin

NeurIPS 2025 Chain-of-Model Learning for Language Model Xiaohua Wang, Kaitao Song, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu

NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

ICLR 2025 Fast and Accurate Blind Flexible Docking Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han

ICLR 2025 Hot-Pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

ICLRW 2025 HybriDNA: A Hybird Transformer-Mamba2 Long-Range DNA Language Model Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin

IJCAI 2025 Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai

NeurIPS 2025 MoonCast: High-Quality Zero-Shot Podcast Generation Zeqian Ju, Dongchao Yang, Kai Shen, Yichong Leng, Zhengtao Wang, Songxiang Liu, Xinyu Zhou, Tao Qin, Xiangyang Li, Jianwei Yu, Xu Tan

TMLR 2025 Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu, Tao Qin

CVPR 2024 CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu

NeurIPSW 2024 Hot Pluggable Federated Learning Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han

ICLR 2024 NaturalSpeech 2: Latent Diffusion Models Are Natural and Zero-Shot Speech and Singing Synthesizers Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian

ICML 2024 NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao

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

ICLR 2024 PromptTTS 2: Describing and Generating Voices with Text Prompt Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiangyang Li, Sheng Zhao, Tao Qin, Jiang Bian

IJCAI 2024 Re-Creation of Creations: A New Paradigm for Lyric-to-Melody Generation Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan

AAAI 2024 Regeneration Learning: A Learning Paradigm for Data Generation Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio

ICLR 2023 $\mathcal{O}$-GNN: Incorporating Ring Priors into Molecular Modeling Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

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

ICLR 2023 De Novo Molecular Generation via Connection-Aware Motif Mining Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu

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

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

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

AAAI 2023 Retrosynthesis Prediction with Local Template Retrieval Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

ICML 2023 Retrosynthetic Planning with Dual Value Networks Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

CHIL 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, Yingce Xia, Tao Qin, Howard Lee

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

MLJ 2022 A Study of BERT for Context-Aware Neural Machine Translation Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

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

ICML 2022 Analyzing and Mitigating Interference in Neural Architecture Search Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li

NeurIPS 2022 BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis 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

TMLR 2022 Direct Molecular Conformation Generation 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

MLJ 2022 End-to-End Entity-Aware Neural Machine Translation Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin

ICLR 2022 Exploiting Class Activation Value for Partial-Label Learning Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, Masashi Sugiyama

ICLR 2022 GNN Is a Counter? Revisiting GNN for Question Answering Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin

NeurIPS 2022 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, 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, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

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

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

NeurIPS 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu

ICLR 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu

NeurIPS 2022 Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li

IJCAI 2021 A Survey on Low-Resource Neural Machine Translation Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu

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

NeurIPS 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu

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

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

IJCAI 2021 Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin

ICLR 2021 IOT: Instance-Wise Layer Reordering for Transformer Structures Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

IJCAI 2021 Independence-Aware Advantage Estimation Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu

NeurIPS 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

AAAI 2021 Learning to Reweight with Deep Interactions Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

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

NeurIPS 2021 On the Generative Utility of Cyclic Conditionals Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu

NeurIPS 2021 R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

NeurIPS 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu

ICLR 2021 Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu

AAAI 2021 SongMASS: Automatic Song Writing with Pre-Training and Alignment Constraint Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin

NeurIPS 2021 Speech-T: Transducer for Text to Speech and Beyond Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu

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

AAAI 2021 UWSpeech: Speech to Speech Translation for Unwritten Languages Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu

ACML 2020 Dual Learning: Theoretical Study and an Algorithmic Extension Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu

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

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

NeurIPS 2020 MPNet: Masked and Permuted Pre-Training for Language Understanding Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu

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

NeurIPS 2020 Semi-Supervised Neural Architecture Search Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu

ICML 2020 Sequence Generation with Mixed Representations Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tieyan Liu

IJCAI 2020 Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu

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

ICLR 2020 Understanding and Improving Transformer from a Multi-Particle Dynamic System Point of View Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu

ICLRW 2020 Understanding and Improving Transformer from a Multi-Particle Dynamic System Point of View. Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-yan Liu

ICML 2019 Almost Unsupervised Text to Speech and Automatic Speech Recognition Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu

IJCAI 2019 Deliberation Learning for Image-to-Image Translation Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen

NeurIPS 2019 Distributional Reward Decomposition for Reinforcement Learning Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang

ICML 2019 Efficient Training of BERT by Progressively Stacking Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tieyan Liu

NeurIPS 2019 FastSpeech: Fast, Robust and Controllable Text to Speech Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu

NeurIPS 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu

IJCAI 2019 Image-to-Image Translation with Multi-Path Consistency Regularization Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen

ICML 2019 MASS: Masked Sequence to Sequence Pre-Training for Language Generation Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu

ICLR 2019 Multi-Agent Dual Learning Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

ICLR 2019 Multilingual Neural Machine Translation with Knowledge Distillation Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu

NeurIPS 2019 Neural Machine Translation with Soft Prototype Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Cheng Xiang Zhai, Tie-Yan Liu

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

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

NeurIPS 2019 Normalization Helps Training of Quantized LSTM Lu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin, Tie-Yan Liu

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

ICLR 2019 Representation Degeneration Problem in Training Natural Language Generation Models Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tieyan Liu

AAAI 2019 Sentence-Wise Smooth Regularization for Sequence to Sequence Learning ChengYue Gong, Xu Tan, Di He, Tao Qin

AAAI 2019 Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin

AAAI 2019 Trust Region Evolution Strategies Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ACML 2019 Unified Policy Optimization for Robust Reinforcement Learning Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang

ACML 2018 Adversarial Neural Machine Translation Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

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

AAAI 2018 Dynamic Pricing for Reusable Resources in Competitive Market with Stochastic Demand Jiang Rong, Tao Qin, Bo An

NeurIPS 2018 FRAGE: Frequency-Agnostic Word Representation Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu

NeurIPS 2018 Layer-Wise Coordination Between Encoder and Decoder for Neural Machine Translation Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu

ICLR 2018 Learning to Teach Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

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

ICML 2018 Model-Level Dual Learning Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

NeurIPS 2018 Neural Architecture Optimization Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu

ICML 2018 Towards Binary-Valued Gates for Robust LSTM Training Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tieyan Liu

NeurIPS 2017 Decoding with Value Networks for Neural Machine Translation Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu

NeurIPS 2017 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

IJCAI 2017 Dual Inference for Machine Learning Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

ICML 2017 Dual Supervised Learning Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu

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

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

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

ECML-PKDD 2017 Sequence Generation with Target Attention Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

IJCAI 2017 Sequence Prediction with Unlabeled Data by Reward Function Learning Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

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

NeurIPS 2016 Dual Learning for Machine Translation Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

JAIR 2016 Efficient Mechanism Design for Online Scheduling Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng

NeurIPS 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu

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

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

AAAI 2015 Generalization Analysis for Game-Theoretic Machine Learning Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu

AAAI 2015 Mechanism Learning with Mechanism Induced Data Tie-Yan Liu, Wei Chen, Tao Qin

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

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

IJCAI 2015 Thompson Sampling for Budgeted Multi-Armed Bandits Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu

AAAI 2014 Agent Behavior Prediction and Its Generalization Analysis Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu

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

NeurIPS 2013 Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising Min Xu, Tao Qin, Tie-Yan Liu

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

NeurIPS 2010 A New Probabilistic Model for Rank Aggregation Tao Qin, Xiubo Geng, Tie-yan Liu

NeurIPS 2008 Global Ranking Using Continuous Conditional Random Fields Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang, Hang Li

ICML 2008 Query-Level Stability and Generalization in Learning to Rank Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li

ICML 2007 Learning to Rank: From Pairwise Approach to Listwise Approach Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li