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.
news
| 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. |
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| 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! |