Nanyang Ye

Assistant Professor (tenure-track)
John Hopcroft Center for Computer Science
Shanghai Jiao Tong University


实验室在机器学习顶级会议NeurIPS, CVPR, IJCAI等发表多篇论文,研究方向:深度学习算法,深度学习安全性,因果推理,以及深度学习的应用。我们致力于从理论和算法上解决限制机器学习算法在实际应用中的根本问题,突破目前深度学习被称为现代炼金术的困境。实验室长期与剑桥大学,北京大学等机构保持长期合作关系。优秀同学有机会推荐海外顶级高校学习。

申请条件:1)强烈的科学探索精神 2)快速迭代实现的编程能力 3)了解机器学习的基本知识 4)较好的英文阅读和写作能力 5)数学基础

Research Interests

His current research interests include but not limited to
deep learning system safety, Bayesian deep learning, causal inference,
and computer graphics.

Selected Publications

·Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu. Amata: An Annealing Mechanism for Adversarial Training Acceleration. AAAI Conference on Artificial Intelligence (AAAI 2021).
·Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye#, Han-Jia Ye, Gary Chan, Zhenguo Li. DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI Conference on Artificial Intelligence (AAAI 2021). (#Corresponding author)
·Aliaksei Mikhailiuk, Nanyang Ye, Rafal Mantiuk. The effect of display brightness and viewing distance: a dataset for visually lossless image compression. Human Vision and Electronic Imaging (HVEI 2021).
·Nanyang Ye, Krzysztof Wolski, Rafał K. Mantiuk. Predicting visible image differences under varying display brightness and viewing distance. IEEE Conference on Computer Vision and Pattern Recognition 2019 (CVPR 2019).

·Nanyang Ye, Zhanxing Zhu. Bayesian Adversarial Learning. Neural Information Processing Systems 2018 (NeurIPS 2018).

· Nanyang Ye, Zhanxing Zhu, Rafal K. Mantiuk. Langevin Dynamics with Continuous Tempering for High-dimensional Non convex Optimization. Neural Information Processing Systems 2017 (NIPS 2017).

·Nanyang Ye, Zhanxing Zhu. Stochastic Fractional Hamiltonian Monte Carlo. International Joint Conference on Artificial Intelligence 2018 (IJCAI 2019).

·Krzysztof Wolski*, Daniele Giunchi*, Nanyang Ye*, Piotr Didyk, Karol Myszkowski, Radosław Mantiuk, Hans-PeterSeidel, Anthony Steed, Rafał K. Mantiuk. Dataset and metrics for predicting local visible differences. ACM Transaction on Graphics (TOG 2018) (The first three authors contribute equally to the paper). vol 37, issue 5.

·Nanyang Ye, María Pérez-Ortiz, Rafał K. Mantiuk. Visibility Metric for Visually Lossless Image Compression. Accepted at Picture Coding Symposium 2019 (PCS 2019). Top Conference in Image Compression.
·Nanyang Ye, María Pérez-Ortiz, Rafał K. Mantiuk. Trained perceptual uniform encoding for quality assessment of high dynamic range images and videos. International Conference on Image Processing 2018 (ICIP 2018).pp 1718-1722.

·Nanyang Ye, Xiaoming Tao, Linhao Dong, Ning Ge. Mouse Calibration Aided Real-time Gaze Estimation Based on Boost Gaussian Bayesian Learning. International Conference on Image Processing 2016 (ICIP 2016). pp 2797-2801.

·Nanyang Ye, Linhao Dong, Xiaoming Tao, Ning Ge. Efficient Multi-Cell Clustering for Coordinated Multi-Point Transmission with Blossom Tree Algorithm. IEEE Vehicular Technology Conference 2015 (VTC 2015). pp 1-4.

© John Hopcroft Center for Computer Science, Shanghai Jiao Tong University

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