董明智

Mingzhi Dong
Ph.D, Postdoctor
School of Computer Science
Fudan University
mingzhidong@gmail.com

RESEARCH INTERESTS

Metric Learning, Weak Supervised Learning, Transfer Learning, Reinforcement Learning

EDUCATION BACKGROUND

  • Ph.D, Department of Statistical Science, University College London (UCL), 2013

  • M. S, Department of Information and Communication Engineering, Beijing University of Posts and Telecommunications(BUPT), 2010

  • B. S, Department of Information and Communication Engineering, Beijing University of Posts and Telecommunications(BUPT), 2006

PUBLICATIONS

  1. Generalization Bound of Gradient Descent for Non-Convex Metric Learning, M. Dong*, X. Yang*, R. Zhu, Y. Wang, J. Xue. Neural Information Processing Systems (NeurIPS), 2020 (* Equal Contribution).

  2. Learning Local Metrics and Influential Regions for Classification; M. Dong, Y. Wang, X. Yang, J. Xue. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

  3. Dynamic Face Video Segmentation via Reinforcement Learning; Y. Wang, M. Dong, J. Shen, Y. Wu, S. Cheng, M. Pantic. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  4.  Metric Learning for Categorical and Ambiguous Features: An Adversarial Method; X. Yang*, M. Dong*, Y. Guo, J. Xue. European Conference on Machine Learning (ECML), 2020 (* Equal Contribution).          

  5. Data-Augmented Matched Subspace Detector for Hyperspectral Subpixel Target Detection; X. Yang, M. Dong, Z. Wang, L. Gao, L. Zhang, J. Xue. Pattern Recognition.(2020)

  6. Learning Distance to Subspace for the Nearest Subspace Methods in High-dimensional Data Classification; R. Zhu, M. Dong, J. Xue. Information Sciences.(2019)

  7. Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning; K. Pang, M. Dong, Y. Wu, T. Hospedales. AutoML Workshop of International Conference on Machine Learning, 2018. ICML AutoML Workshop Best Paper Award.(2018)

  8. Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice; K. Pang, M. Dong, Y. Wu, T. Hospedales. International Conference on Pattern Recognition (ICPR), 2018. International Association of Pattern Recognition Piero Zamperoni Best Student Paper Award.(2018)