Portrait of Yingce Xia

Yingce Xia

Associated Researcher 2

About

I am currently an associated researcher at machine learning group.  I received my Ph.D. degree from University of Science and Technology in 2018, supervised by Dr. Tie-Yan Liu and Prof. Nenghai Yu. Prior to that, I obtained my bachelor degree from University of Science and Technology of China in 2013.

My research revolves around dual learning (a new learning paradigm proposed by our group) and deep learning (with application to neural machine translation and image processing).

Education
University of Science and Technology of China,  Sep. 2013 to Jun. 2018
♦ Ph.D in Electronic & Engineering ◊ Joint Ph.D Program with Microsoft Research Asia
♦ Department of Information Science and Technology
♦ Ph.D Supervisors: Dr. Tie-Yan Liu and Prof. Nenghai Yu

University of Science and Technology of China, Sep. 2009 to Jun. 2013
♦ B.S. in Information Security
♦ Department of Information Science and Technology

Professional Activities
♦ PC members: NeurIPS 2018/2019, ICML 2019, ICLR 2019, CVPR 2019, ICCV 2019
♦ Journal reviewer: Neurocomputing

Honors and Awards
♦ 2016, Microsoft Research Asia PhD Fellowship Award
♦ 2017, National Scholarship
♦ 2018, Excellent Award of Dean Scholarship of Chinese Academy of Sciences

Projects

Publications

Other

My recent publications are listed as below:

  • Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai and Tie-Yan Liu, Multi-Agent Dual Learning, In 7th International Conference on Learning Representations (ICLR-19).
  • Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He and Tao Qin, Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder, In 33rd AAAI Conference on Artificial Intelligence (AAAI-19).
  • Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu and Tie-Yan Liu, Model-Level Dual Learning, 35th International Conference on Machine Learning (ICML-18).
  • Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, and Tie-Yan Liu, Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation, In 32nd Conference on Neural Information Processing Systems (NeurIPS 2018).
  • Lijun Wu, Fei Tian, Yingce Xia, Tao Qin, Jianhuang Lai, and Tie-Yan Liu, Learning to Teach with Dynamic Loss Functions,  In 32nd Conference on Neural Information Processing Systems (NeurIPS 2018).
  • 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, arXiv 2018.
  • Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen and Tie-Yan Liu, Conditional Image-to-Image Translation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR-18).
  • Haifang Li, Yingce Xia and Wensheng Zhang, Finite Sample Analysis of LSTD with Random Projections and Eligibility Trace, 27th International Joint Conference on Artificial Intelligence (IJCAI-18).
  • Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu and Tie-Yan Liu, Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization, In 32nd AAAI Conference on Artificial Intelligence (AAAI-18).
  • Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai and Tie-Yan Liu, Adversarial Neural Machine Translation, In 10th Asian Conference on Machine Learning (ACML-18).
  • Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu and Tie-Yan Liu, Deliberation Networks: Sequence Generation Beyond One-Pass Decoding, In 31th Conference on Neural Information Processing Systems (NIPS-17).
  • Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang and Tie-Yan Liu, Decoding with Value Networks for Neural Machine Translation, In 31th Conference on Neural Information Processing Systems (NIPS-17).
  • Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu and Tie-Yan Liu, Dual Supervised Learning, In 34th International Conference on Machine Learning, (ICML-2017).
  • Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu and Tie-Yan Liu, Dual Inference for Machine Learning, In 26th International Joint Conference on Artificial Intelligence, (IJCAI-2017).
  • Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu and Tie-Yan Liu, Sequence Generation with Target Attention, In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017, (ECML/PKDD-2017).
  • Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xu-Dong Zhang, Nenghai Yu and Tie-Yan Liu, Finite Budget Analysis of Multi-armed Bandit Problems, (Neurocomputing 2017).
  • Haifang Li, Yingce Xia, Infinitely Many-Armed Bandits with Budget Constraints, In 31st AAAI Conference on Artificial Intelligence (AAAI-17). [Full Version]
  • Di He*, Yingce Xia*, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu and Wei-Ying Ma, Dual Learning for Machine Translation, In 30th Conference on Neural Information Processing Systems (NIPS-16). (“*” indicates equal contribution.)
  • Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu and Tie-Yan Liu, Budgeted Multi-armed Bandits with Multiple Plays, In 25th International Joint Conference on Artificial Intelligence (IJCAI-16).
  • Yingce Xia, Tao Qin, Nenghai Yu and Tie-Yan Liu, Best Action Selection in a Stochastic Environment,In 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-16).
  • Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu and Tao Qin, Budgeted Bandit Problems with Continuous Random Costs, In 7th Asian Conference on Machine Learning (ACML-15).
  • Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu and Tie-Yan Liu, Thompson Sampling for Budgeted Multi-armed Bandits, In 24th International Joint Conference on Artificial Intelligence (IJCAI-15).
  • Long Tran–Thanh, Yingce Xia, Tao Qin and Nicholas R. Jennings, Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem, In 24th International Joint Conference on Artificial Intelligence (IJCAI-15).
  • Yingce Xia, Tao Qin, Nenghai Yu and Tie-Yan Liu, Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium, In 28th AAAI Conference on Artificial Intelligence (AAAI-14).