Yingce Xia

132 papers A* 38A 2C 3Journal 72Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization.
CoRR
Zequn Liu, Kehan Wu, Shufang Xie, Zekun Guo, Wei Zhang, Tao Qin, Renhe Liu, Yingce Xia
2025 J jnl
HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model.
CoRR
Mingqian Ma, Guoqing Liu, Chuan Cao, Pan Deng, Tri Dao, Albert Gu, Peiran Jin, Zhao Yang, Yingce Xia, Renqian Luo, Pipi Hu, Zun Wang, Yuan-Jyue Chen, Haiguang Liu, Tao Qin
2025 J jnl
MolChord: Structure-Sequence Alignment for Protein-Guided Drug Design.
CoRR
Wei Zhang, Zekun Guo, Yingce Xia, Peiran Jin, Shufang Xie, Tao Qin, Xiang-Yang Li
2025 J jnl
NatureLM: Deciphering the Language of Nature for Scientific Discovery.
CoRR
Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin
2025 J jnl
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.
CoRR
Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu
2025 J jnl
UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion.
CoRR
Gongbo Zhang, Yanting Li, Renqian Luo, Pipi Hu, Zeru Zhao, Lingbo Li, Guoqing Liu, Zun Wang, Ran Bi, Kaiyuan Gao, Liya Guo, Yu Xie, Chang Liu, Jia Zhang, Tian Xie, Robert Pinsler, Claudio Zeni, Ziheng Lu, Yingce Xia, Marwin H. S. Segler, Maik Riechert, Li Yuan, Lei Chen, Haiguang Liu, Tao Qin
2024 A conf
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.
CIKM
Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2024 J jnl
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.
CoRR
Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan
2024 — conf
Learning to Generate Style-Specific Adapters for Stylized Dialogue Generation.
NLPCC (1)
Jinpeng Li, Yuhan Chen, Pengfei Wu, Yingce Xia, Shufang Xie, Dongyan Zhao, Rui Yan
2023 A* conf
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.
EMNLP
Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
2023 J jnl
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.
CoRR
Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan
2023 J jnl
Breaking the barriers of data scarcity in drug-target affinity prediction.
Briefings Bioinform.
Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan
2023 A* conf
De Novo Molecular Generation via Connection-aware Motif Mining.
ICLR
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
2023 J jnl
De Novo Molecular Generation via Connection-aware Motif Mining.
CoRR
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
2023 A* conf
Dual-view Molecular Pre-training.
KDD
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
2023 A* conf
FABind: Fast and Accurate Protein-Ligand Binding.
NeurIPS
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023 J jnl
FABind: Fast and Accurate Protein-Ligand Binding.
CoRR
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
2023 A* conf
Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization.
WWW
Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan
2023 J jnl
Masked Contrastive Representation Learning for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li
2023 — conf
MolXPT: Wrapping Molecules with Text for Generative Pre-training.
ACL (2)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
2023 J jnl
MolXPT: Wrapping Molecules with Text for Generative Pre-training.
CoRR
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
2023 A* conf
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.
KDD
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2023 J jnl
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.
Briefings Bioinform.
Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
2023 A* conf
Retrosynthesis Prediction with Local Template Retrieval.
AAAI
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
2023 J jnl
Retrosynthesis Prediction with Local Template Retrieval.
CoRR
Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin
2023 A* conf
Retrosynthetic Planning with Dual Value Networks.
ICML
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
2023 J jnl
Retrosynthetic Planning with Dual Value Networks.
CoRR
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
2023 — conf
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target.
CHIL
Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee
2023 — conf
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.
ACL (1)
Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
2023 J jnl
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization.
CoRR
Griffin Adams, Bichlien H. Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
2023 A* conf
𝒪-GNN: incorporating ring priors into molecular modeling.
ICLR
Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022 J jnl
A study of BERT for context-aware neural machine translation.
Mach. Learn.
Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
2022 J jnl
Back translation for molecule generation.
Bioinform.
Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin
2022 J jnl
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining.
CoRR
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022 J jnl
BioGPT: generative pre-trained transformer for biomedical text generation and mining.
Briefings Bioinform.
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022 A* conf
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.
AAAI
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022 J jnl
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation.
CoRR
Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
2022 J jnl
Direct Molecular Conformation Generation.
CoRR
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
2022 J jnl
Direct Molecular Conformation Generation.
Trans. Mach. Learn. Res.
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu
2022 J jnl
Discovering drug-target interaction knowledge from biomedical literature.
Bioinform.
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2022 J jnl
End-to-end entity-aware neural machine translation.
Mach. Learn.
Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin
2022 J jnl
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.
CoRR
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2022 A* conf
RetroGraph: Retrosynthetic Planning with Graph Search.
KDD
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022 J jnl
RetroGraph: Retrosynthetic Planning with Graph Search.
CoRR
Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022 J jnl
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.
CoRR
Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu
2022 J jnl
SPRoBERTa: protein embedding learning with local fragment modeling.
Briefings Bioinform.
Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
2022 J jnl
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design.
CoRR
Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu
2022 A* conf
Target-Side Input Augmentation for Sequence to Sequence Generation.
ICLR
Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan
2022 A* conf
Unified 2D and 3D Pre-Training of Molecular Representations.
KDD
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022 J jnl
Unified 2D and 3D Pre-Training of Molecular Representations.
CoRR
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021 J jnl
Discovering Drug-Target Interaction Knowledge from Biomedical Literature.
CoRR
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu
2021 J jnl
Dual Learning: Theoretical Study and an Algorithmic Extension.
SN Comput. Sci.
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2021 J jnl
Dual-view Molecule Pre-training.
CoRR
Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021 J jnl
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo
2021 J jnl
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.
CoRR
Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 A* conf
IOT: Instance-wise Layer Reordering for Transformer Structures.
ICLR
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021 J jnl
IOT: Instance-wise Layer Reordering for Transformer Structures.
CoRR
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2021 A* conf
Learning to Reweight with Deep Interactions.
AAAI
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li
2021 J jnl
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.
CoRR
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu
2021 J jnl
SHGNN: Structure-Aware Heterogeneous Graph Neural Network.
CoRR
Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu
2021 A* conf
Stylized Dialogue Generation with Multi-Pass Dual Learning.
NeurIPS
Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu
2021 A* conf
Temporally Correlated Task Scheduling for Sequence Learning.
ICML
Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu
2021 — conf
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.
NAACL-HLT
Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
2021 J jnl
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.
CoRR
Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu
2021 J jnl
ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation.
Neurocomputing
Jianxin Lin, Yingce Xia, Sen Liu, Shuxin Zhao, Zhibo Chen
2021 — conf
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation.
IWSLT
Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin
2020 J jnl
COSEA: Convolutional Code Search with Layer-wise Attention.
CoRR
Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
2020 C conf
Dual Learning: Theoretical Study and an Algorithmic Extension.
ACML
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2020 J jnl
Dual Learning: Theoretical Study and an Algorithmic Extension.
CoRR
Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu
2020 A* conf
DualLip: A System for Joint Lip Reading and Generation.
ACM Multimedia
Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
2020 J jnl
DualLip: A System for Joint Lip Reading and Generation.
CoRR
Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu
2020 A* conf
Incorporating BERT into Neural Machine Translation.
ICLR
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2020 J jnl
Incorporating BERT into Neural Machine Translation.
CoRR
Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2020 J jnl
Learn to Use Future Information in Simultaneous Translation.
CoRR
Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu
2020 J jnl
Learning to Teach with Deep Interactions.
CoRR
Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020 J jnl
Masked Contrastive Representation Learning for Reinforcement Learning.
CoRR
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li
2020 J jnl
Multi-branch Attentive Transformer.
CoRR
Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020 J jnl
Searching Better Architectures for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process.
Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu
2020 A* conf
Sequence Generation with Mixed Representations.
ICML
Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu
2020 A* conf
Transductive Ensemble Learning for Neural Machine Translation.
AAAI
Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2020 — conf
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images.
ECCV (4)
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
2020 J jnl
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images.
CoRR
Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo
2019 A* conf
Deliberation Learning for Image-to-Image Translation.
IJCAI
Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen
2019 — conf
Depth Growing for Neural Machine Translation.
ACL (1)
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019 J jnl
Depth Growing for Neural Machine Translation.
CoRR
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019 J jnl
Efficient Bidirectional Neural Machine Translation.
CoRR
Xu Tan, Yingce Xia, Lijun Wu, Tao Qin
2019 — conf
Exploiting Monolingual Data at Scale for Neural Machine Translation.
EMNLP/IJCNLP (1)
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2019 A* conf
Image-to-Image Translation with Multi-Path Consistency Regularization.
IJCAI
Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
2019 J jnl
Image-to-Image Translation with Multi-Path Consistency Regularization.
CoRR
Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen
2019 J jnl
Learning to Transfer: Unsupervised Meta Domain Translation.
CoRR
Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen
2019 — conf
Microsoft Research Asia's Systems for WMT19.
WMT (2)
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2019 J jnl
Microsoft Research Asia's Systems for WMT19.
CoRR
Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu
2019 — conf
Multi-Agent Dual Learning.
ICLR (Poster)
Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019 — conf
Multilingual Neural Machine Translation with Language Clustering.
EMNLP/IJCNLP (1)
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
2019 J jnl
Multilingual Neural Machine Translation with Language Clustering.
CoRR
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu
2019 A* conf
Neural Machine Translation with Soft Prototype.
NeurIPS
Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
2019 J jnl
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.
IEEE ACM Trans. Audio Speech Lang. Process.
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu
2019 — conf
Soft Contextual Data Augmentation for Neural Machine Translation.
ACL (1)
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu
2019 J jnl
Soft Contextual Data Augmentation for Neural Machine Translation.
CoRR
Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu
2019 A* conf
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder.
AAAI
Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin
2019 J jnl
Unpaired Image-to-Image Translation with Domain Supervision.
CoRR
Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen
2019 J jnl
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation.
CoRR
Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen
2018 J jnl
Achieving Human Parity on Automatic Chinese to English News Translation.
CoRR
Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou
2018 C conf
Adversarial Neural Machine Translation.
ACML
Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018 A* conf
Conditional Image-to-Image Translation.
CVPR
Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
2018 J jnl
Conditional Image-to-Image Translation.
CoRR
Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu
2018 A* conf
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.
AAAI
Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu
2018 A* conf
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces.
IJCAI
Haifang Li, Yingce Xia, Wensheng Zhang
2018 J jnl
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces.
CoRR
Haifang Li, Yingce Xia, Wensheng Zhang
2018 A* conf
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation.
NeurIPS
Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu
2018 A* conf
Learning to Teach with Dynamic Loss Functions.
NeurIPS
Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu
2018 J jnl
Learning to Teach with Dynamic Loss Functions.
CoRR
Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2018 A* conf
Model-Level Dual Learning.
ICML
Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017 J jnl
Adversarial Neural Machine Translation.
CoRR
Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu
2017 — conf
Decoding with Value Networks for Neural Machine Translation.
NIPS
Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu
2017 — conf
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding.
NIPS
Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017 A* conf
Dual Inference for Machine Learning.
IJCAI
Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2017 A* conf
Dual Supervised Learning.
ICML
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017 J jnl
Dual Supervised Learning.
CoRR
Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu
2017 J jnl
Finite budget analysis of multi-armed bandit problems.
Neurocomputing
Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xudong Zhang, Nenghai Yu, Tie-Yan Liu
2017 A* conf
Infinitely Many-Armed Bandits with Budget Constraints.
AAAI
Haifang Li, Yingce Xia
2017 — conf
Sequence Generation with Target Attention.
ECML/PKDD (1)
Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu
2016 A conf
Best Action Selection in a Stochastic Environment.
AAMAS
Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu
2016 A* conf
Budgeted Multi-Armed Bandits with Multiple Plays.
IJCAI
Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu
2016 — conf
Dual Learning for Machine Translation.
NIPS
Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2016 J jnl
Dual Learning for Machine Translation.
CoRR
Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma
2015 C conf
Budgeted Bandit Problems with Continuous Random Costs.
ACML
Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin
2015 A* conf
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem.
IJCAI
Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings
2015 A* conf
Thompson Sampling for Budgeted Multi-Armed Bandits.
IJCAI
Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu
2015 J jnl
Thompson Sampling for Budgeted Multi-armed Bandits.
CoRR
Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu
2014 A* conf
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium.
AAAI
Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu
2014 J jnl
Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium.
CoRR
Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu