My research interests focus on trustworthy AI, mainly on the adversarial and certified robustness of deep neural networks, and the topic of out-of-distribution detection.
I also have previously dabbled in the kernel methods in machine learning.
Work
Hong Kong Polytechnic University
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Postdoctoral Fellow
Hong Kong
→
Education
Shanghai Jiao Tong University
China
→
Ph.D.
Shanghai Jiao Tong University
China
→
Master
Tongji University
China
→
Bachelor
Publications
Multi-head ensemble of smoothed classifiers for certified robustness
Neural Networks
journal-article
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
International Journal of Computer Vision
journal-article
Towards robust neural networks via orthogonal diversity
Pattern Recognition
journal-article
Kernel PCA for Out-of-Distribution Detection
Advances in Neural Information Processing Systems
conference-paper
Unifying Gradients to Improve Real-World Robustness for Deep Networks
ACM Transactions on Intelligent Systems and Technology
journal-article
Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity
Pattern Recognition Letters
journal-article
Improving adversarial robustness through a curriculum-guided reliable distillation