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2020 – today
- 2024
[c60]Qizhi Pei
, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CIKM 2024: 1856-1866- [c59]Jinpeng Li, Yuhan Chen, Pengfei Wu, Yingce Xia, Shufang Xie, Dongyan Zhao, Rui Yan:
Learning to Generate Style-Specific Adapters for Stylized Dialogue Generation. NLPCC (1) 2024: 16-28 - [i50]Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CoRR abs/2407.15202 (2024) - 2023
- [j16]Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24(1) (2023) - [j15]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan:
Breaking the barriers of data scarcity in drug-target affinity prediction. Briefings Bioinform. 24(6) (2023) - [j14]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3421-3433 (2023) - [c58]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. AAAI 2023: 5330-5338 - [c57]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) 2023: 1606-1616 - [c56]Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. ACL (1) 2023: 10520-10542 - [c55]Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee:
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL 2023: 100-116 - [c54]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. EMNLP 2023: 1102-1123 - [c53]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR 2023 - [c52]Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR 2023 - [c51]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. ICML 2023: 22266-22276 - [c50]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD 2023: 506-517 - [c49]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Dual-view Molecular Pre-training. KDD 2023: 3615-3627 - [c48]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS 2023 - [c47]Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan:
Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. WWW 2023: 1693-1702 - [i49]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. CoRR abs/2301.13755 (2023) - [i48]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR abs/2302.01129 (2023) - [i47]Griffin Adams, Bichlien H. Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad:
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization. CoRR abs/2305.07615 (2023) - [i46]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR abs/2305.10688 (2023) - [i45]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. CoRR abs/2306.04123 (2023) - [i44]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. CoRR abs/2310.06763 (2023) - [i43]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. CoRR abs/2310.07276 (2023) - 2022
- [j13]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23(6) (2022) - [j12]Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. 23(6) (2022) - [j11]Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
Back translation for molecule generation. Bioinform. 38(5): 1244-1251 (2022) - [j10]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Discovering drug-target interaction knowledge from biomedical literature. Bioinform. 38(22): 5100-5107 (2022) - [j9]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
A study of BERT for context-aware neural machine translation. Mach. Learn. 111(3): 917-935 (2022) - [j8]Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin:
End-to-end entity-aware neural machine translation. Mach. Learn. 111(3): 1181-1203 (2022) - [j7]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:
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022) - [c46]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI 2022: 4092-4100 - [c45]Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan:
Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR 2022 - [c44]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129 - [c43]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. KDD 2022: 2626-2636 - [i42]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR abs/2201.04038 (2022) - [i41]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. CoRR abs/2202.01356 (2022) - [i40]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu:
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR abs/2206.09818 (2022) - [i39]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022) - [i38]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. CoRR abs/2207.08806 (2022) - [i37]Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu:
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. CoRR abs/2209.06158 (2022) - [i36]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR abs/2210.10341 (2022) - [i35]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR abs/2211.08406 (2022) - 2021
- [j6]Jianxin Lin, Yingce Xia, Sen Liu, Shuxin Zhao, Zhibo Chen:
ZstGAN: An adversarial approach for Unsupervised Zero-Shot Image-to-image Translation. Neurocomputing 461: 327-335 (2021) - [j5]Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo:
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1254-1266 (2021) - [j4]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. 2(5): 413 (2021) - [c42]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li:
Learning to Reweight with Deep Interactions. AAAI 2021: 7385-7393 - [c41]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. ICLR 2021 - [c40]Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu:
Temporally Correlated Task Scheduling for Sequence Learning. ICML 2021: 11274-11284 - [c39]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin:
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. IWSLT 2021: 192-197 - [c38]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT 2021: 3865-3878 - [c37]Jinpeng Li, Yingce Xia, Rui Yan, Hongda Sun, Dongyan Zhao, Tie-Yan Liu:
Stylized Dialogue Generation with Multi-Pass Dual Learning. NeurIPS 2021: 28470-28481 - [i34]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. CoRR abs/2103.03457 (2021) - [i33]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR abs/2104.04946 (2021) - [i32]Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Dual-view Molecule Pre-training. CoRR abs/2106.10234 (2021) - [i31]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu:
Discovering Drug-Target Interaction Knowledge from Biomedical Literature. CoRR abs/2109.13187 (2021) - [i30]Wentao Xu, Weiqing Liu, Lewen Wang, Yingce Xia, Jiang Bian, Jian Yin, Tie-Yan Liu:
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information. CoRR abs/2110.13716 (2021) - [i29]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:
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. CoRR abs/2110.15527 (2021) - [i28]Wentao Xu, Yingce Xia, Weiqing Liu, Jiang Bian, Jian Yin, Tie-Yan Liu:
SHGNN: Structure-Aware Heterogeneous Graph Neural Network. CoRR abs/2112.06244 (2021) - 2020
- [j3]Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Searching Better Architectures for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1574-1585 (2020) - [c36]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c35]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML 2020: 321-336 - [c34]Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo:
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. ECCV (4) 2020: 18-35 - [c33]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. ICLR 2020 - [c32]Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu:
Sequence Generation with Mixed Representations. ICML 2020: 10388-10398 - [c31]Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu:
DualLip: A System for Joint Lip Reading and Generation. ACM Multimedia 2020: 1985-1993 - [i27]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. CoRR abs/2002.06823 (2020) - [i26]Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo:
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. CoRR abs/2004.04634 (2020) - [i25]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR abs/2005.08238 (2020) - [i24]Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Multi-branch Attentive Transformer. CoRR abs/2006.10270 (2020) - [i23]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach with Deep Interactions. CoRR abs/2007.04649 (2020) - [i22]Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu:
Learn to Use Future Information in Simultaneous Translation. CoRR abs/2007.05290 (2020) - [i21]Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu:
DualLip: A System for Joint Lip Reading and Generation. CoRR abs/2009.05784 (2020) - [i20]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. CoRR abs/2010.07470 (2020) - [i19]Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu:
COSEA: Convolutional Code Search with Layer-wise Attention. CoRR abs/2010.09520 (2020)
2010 – 2019
- 2019
- [j2]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1564-1576 (2019) - [c30]Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI 2019: 5466-5473 - [c29]Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) 2019: 5539-5544 - [c28]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. ACL (1) 2019: 5558-5563 - [c27]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. EMNLP/IJCNLP (1) 2019: 963-973 - [c26]Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Exploiting Monolingual Data at Scale for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 4205-4215 - [c25]Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Multi-Agent Dual Learning. ICLR (Poster) 2019 - [c24]Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen:
Deliberation Learning for Image-to-Image Translation. IJCAI 2019: 2484-2490 - [c23]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. IJCAI 2019: 2980-2986 - [c22]Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Neural Machine Translation with Soft Prototype. NeurIPS 2019: 6313-6322 - [c21]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:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [i18]Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen:
Unpaired Image-to-Image Translation with Domain Supervision. CoRR abs/1902.03782 (2019) - [i17]Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR abs/1905.10523 (2019) - [i16]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. CoRR abs/1905.12498 (2019) - [i15]Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen:
Learning to Transfer: Unsupervised Meta Domain Translation. CoRR abs/1906.00181 (2019) - [i14]Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen:
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. CoRR abs/1906.00184 (2019) - [i13]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. CoRR abs/1907.01968 (2019) - [i12]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. CoRR abs/1908.09324 (2019) - [i11]Xu Tan, Yingce Xia, Lijun Wu, Tao Qin:
Efficient Bidirectional Neural Machine Translation. CoRR abs/1908.09329 (2019) - [i10]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:
Microsoft Research Asia's Systems for WMT19. CoRR abs/1911.06191 (2019) - 2018
- [c20]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu:
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI 2018: 5553-5560 - [c19]Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. ACML 2018: 534-549 - [c18]Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. CVPR 2018: 5524-5532 - [c17]Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Model-Level Dual Learning. ICML 2018: 5379-5388 - [c16]Haifang Li, Yingce Xia, Wensheng Zhang:
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. IJCAI 2018: 2390-2396 - [c15]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. NeurIPS 2018: 6467-6478 - [c14]Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. NeurIPS 2018: 7955-7965 - [i9]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:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i8]Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. CoRR abs/1805.00251 (2018) - [i7]Haifang Li, Yingce Xia, Wensheng Zhang:
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. CoRR abs/1805.10005 (2018) - [i6]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. CoRR abs/1810.12081 (2018) - 2017
- [j1]Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xudong Zhang, Nenghai Yu, Tie-Yan Liu:
Finite budget analysis of multi-armed bandit problems. Neurocomputing 258: 13-29 (2017) - [c13]Haifang Li, Yingce Xia:
Infinitely Many-Armed Bandits with Budget Constraints. AAAI 2017: 2182-2188 - [c12]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. ICML 2017: 3789-3798 - [c11]Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Dual Inference for Machine Learning. IJCAI 2017: 3112-3118 - [c10]Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu:
Decoding with Value Networks for Neural Machine Translation. NIPS 2017: 178-187 - [c9]Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. NIPS 2017: 1784-1794 - [c8]Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Sequence Generation with Target Attention. ECML/PKDD (1) 2017: 816-831 - [i5]Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. CoRR abs/1704.06933 (2017) - [i4]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. CoRR abs/1707.00415 (2017) - 2016
- [c7]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Best Action Selection in a Stochastic Environment. AAMAS 2016: 758-766 - [c6]Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu:
Budgeted Multi-Armed Bandits with Multiple Plays. IJCAI 2016: 2210-2216 - [c5]Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. NIPS 2016: 820-828 - [i3]Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. CoRR abs/1611.00179 (2016) - 2015
- [c4]Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin:
Budgeted Bandit Problems with Continuous Random Costs. ACML 2015: 317-332 - [c3]Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings:
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. IJCAI 2015: 403-410 - [c2]Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Thompson Sampling for Budgeted Multi-Armed Bandits. IJCAI 2015: 3960-3966 - [i2]Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Thompson Sampling for Budgeted Multi-armed Bandits. CoRR abs/1505.00146 (2015) - 2014
- [c1]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. AAAI 2014: 819-825 - [i1]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. CoRR abs/1404.5155 (2014)
Coauthor Index
[j16] [j15] [j14] [c57] [c53] [c52] [c51] [c50] [c49] [c48] [i49] [i48] [i46] [i44] [j13] [j12] [j10] [j7] [c45] [c43] [i41] [i40] [i38] [i37] [i36] [i35] [j4] [c41] [c40] [c38] [c37] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [j3] [c36] [c35] [c33] [c32] [c31] [i27] [i25] [i24] [i23] [i22] [i21] [i19] [j2] [c29] [c28] [c27] [c26] [c25] [c22] [c21] [i17] [i13] [i12] [i10] [c20] [c19] [c18] [c17] [c15] [c14] [i9] [i8] [i6] [j1] [c12] [c11] [c10] [c9] [c8] [i5] [i4] [c7] [c6] [c5] [i3] [c2] [i2] [c1] [i1]
[j16] [j15] [j14] [c58] [c57] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [i49] [i48] [i46] [i45] [i44] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c45] [c44] [c43] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [j5] [j4] [c42] [c41] [c40] [c39] [c38] [i34] [i33] [i32] [i31] [i29] [j3] [c36] [c35] [c33] [c32] [c31] [i27] [i25] [i24] [i23] [i22] [i21] [i20] [j2] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [i10] [c20] [c19] [c18] [c17] [c15] [c14] [i9] [i8] [i6] [j1] [c12] [c11] [c10] [c9] [c8] [i5] [i4] [c7] [c6] [c5] [i3] [c4] [c3] [c2] [i2] [c1] [i1]
[c60] [i50] [j16] [j15] [j14] [c58] [c57] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [i48] [i46] [i45] [i44] [i43] [j12] [j11] [j10] [j9] [j8] [j7] [c45] [c44] [c43] [i41] [i40] [i39] [i38] [i37] [i35] [c42] [c41] [c40] [c39] [c38] [i34] [i33] [i31] [i29] [c36] [c33] [c32] [i27] [i24] [i23] [i22] [i20] [c29] [c28] [c26] [c21] [i17] [i13] [i11] [i10] [c19] [c15] [i9] [i6] [c9] [i5]
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