Yingce Xia

According to our database, Yingce Xia authored at least 92 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.

Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., January, 2023

Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization.

Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan

Proceedings of the ACM Web Conference 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-view Molecular Pre-training.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Retrosynthetic Planning with Dual Value Networks.

Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Conference on Health, Inference, and Learning, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.

Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.

Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Retrosynthesis Prediction with Local Template Retrieval.

Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Discovering drug-target interaction knowledge from biomedical literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu

Bioinform., November, 2022

BioGPT: generative pre-trained transformer for biomedical text generation and mining.

Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu

Briefings Bioinform., November, 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

Trans. Mach. Learn. Res., 2022

End-to-end entity-aware neural machine translation.

Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin

Mach. Learn., 2022

A study of BERT for context-aware neural machine translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Mach. Learn., 2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

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, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu

CoRR, 2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu

CoRR, 2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

CoRR, 2022

Back translation for molecule generation.

Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Bioinform., 2022

SPRoBERTa: protein embedding learning with local fragment modeling.

Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., 2022

Unified 2D and 3D Pre-Training of Molecular Representations.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RetroGraph: Retrosynthetic Planning with Graph Search.

Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.

Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dual Learning: Theoretical Study and an Algorithmic Extension.

Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu

SN Comput. Sci., 2021

Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.

Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., 2021

ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation.

Jianxin Lin, Yingce Xia, Sen Liu, Shuxin Zhao, Zhibo Chen

Neurocomputing, 2021

SHGNN: Structure-Aware Heterogeneous Graph Neural Network.

Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu

CoRR, 2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.

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

CoRR, 2021

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.

Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu

CoRR, 2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu

CoRR, 2021

Dual-view Molecule Pre-training.

Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

CoRR, 2021

Stylized Dialogue Generation with Multi-Pass Dual Learning.

Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.

Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin

Proceedings of the 18th International Conference on Spoken Language Translation, 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

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Reweight with Deep Interactions.

Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Searching Better Architectures for Neural Machine Translation.

Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2020

COSEA: Convolutional Code Search with Layer-wise Attention.

Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu

CoRR, 2020

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li

CoRR, 2020

Learn to Use Future Information in Simultaneous Translation.

Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu

CoRR, 2020

Learning to Teach with Deep Interactions.

Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

CoRR, 2020

Multi-branch Attentive Transformer.

Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

CoRR, 2020

DualLip: A System for Joint Lip Reading and Generation.

Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Sequence Generation with Mixed Representations.

Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

Incorporating BERT into Neural Machine Translation.

Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images.

Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo

Proceedings of the Computer Vision - ECCV 2020, 2020

Transductive Ensemble Learning for Neural Machine Translation.

Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.

Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Microsoft Research Asia's Systems for WMT19.

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

CoRR, 2019

Efficient Bidirectional Neural Machine Translation.

Xu Tan, Yingce Xia, Lijun Wu, Tao Qin

CoRR, 2019

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation.

Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen

CoRR, 2019

Learning to Transfer: Unsupervised Meta Domain Translation.

Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen

CoRR, 2019

Unpaired Image-to-Image Translation with Domain Supervision.

Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen

CoRR, 2019

Microsoft Research Asia's Systems for WMT19.

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

Proceedings of the Fourth Conference on Machine Translation, 2019

Neural Machine Translation with Soft Prototype.

Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Image-to-Image Translation with Multi-Path Consistency Regularization.

Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deliberation Learning for Image-to-Image Translation.

Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-Agent Dual Learning.

Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

Proceedings of the 7th International Conference on Learning Representations, 2019

Exploiting Monolingual Data at Scale for Neural Machine Translation.

Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual Neural Machine Translation with Language Clustering.

Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Depth Growing for Neural Machine Translation.

Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Soft Contextual Data Augmentation for Neural Machine Translation.

Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder.

Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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, 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

CoRR, 2018

Learning to Teach with Dynamic Loss Functions.

Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces.

Haifang Li, Yingce Xia, Wensheng Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Model-Level Dual Learning.

Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the 35th International Conference on Machine Learning, 2018

Conditional Image-to-Image Translation.

Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adversarial Neural Machine Translation.

Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of The 10th Asian Conference on Machine Learning, 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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Finite budget analysis of multi-armed bandit problems.

Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xudong Zhang, Nenghai Yu, Tie-Yan Liu

Neurocomputing, 2017

Sequence Generation with Target Attention.

Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding.

Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decoding with Value Networks for Neural Machine Translation.

Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dual Inference for Machine Learning.

Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dual Supervised Learning.

Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu

Proceedings of the 34th International Conference on Machine Learning, 2017

Infinitely Many-Armed Bandits with Budget Constraints.

Haifang Li, Yingce Xia

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dual Learning for Machine Translation.

Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Budgeted Multi-Armed Bandits with Multiple Plays.

Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Best Action Selection in a Stochastic Environment.

Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Thompson Sampling for Budgeted Multi-Armed Bandits.

Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem.

Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Budgeted Bandit Problems with Continuous Random Costs.

Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin

Proceedings of The 7th Asian Conference on Machine Learning, 2015

2014

Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium.

Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014