Tao Sun


Hi! I am a PhD candidate in Computer Science at Stony Brook University, fortunately advised by Prof. Haibin Ling.

I am broadly interested in machine learning and computer vision, particularly domain adaptation, transfer learning, weakly-supervised learning. I also work on adversarial attack and defense of neural networks.

I earned my MSc from Nanjing University and BEng from Huazhong University of Science and Technology.


Feb 2023 Paper “Backdoor Cleansing with Unlabeled Data” is accepted by CVPR 2023! Congratulations to my collaborators! A preliminary version will appear in ICLR workshop on Backdoor Attacks and Defenses in Machine Learning (BANDS) as Oral Talk.
Feb 2023 Attended AAAI 2023 at Washington, DC.
Dec 2022 Happy to be invited to serve as a reviewer for CVPR 2023!
Nov 2022 Paper “Domain Adaptation with Adversarial Training on Penultimate Activations” is accepted by AAAI 2023!
Jul 2022 Paper “Prior Knowledge Guided Unsupervised Domain Adaptation” is accepted by ECCV 2022!
Mar 2022 Paper “Safe Self-Refinement for Transformer-based Domain Adaptation” is accepted by CVPR 2022!