
Our research aims to develop Machine Learning Algorithms that Make Sense in constrained and large-scale settings with applications in Advertising, Healthcare, Sustainability (Climate, Computing, Agricultural), Social Goods…
[more about our research]
I'm open to research/industry collaborations in ML/CV/NLP:
- Intersted in Ph.D. position? Please apply through the CS department and include my name as a potential advisor in your application.
- Interested in ML research with me (Research Assistant/Intern)? Please fill in the form here (with your CV, transcript, level of commitment, and description of what types of projects you want to work on)
- Other collaboration? Please reach out via email.
news
[08/2023] |
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[07/2023] |
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[05/2023] | Will serve as Invited PC for NeurIPS/WACV 2023 and AAAI/ICLR 2024. |
[04/2023] |
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[02/2023] | Gave a talk at Lucy Family Institute for Data and Society, University of Notre Dame on Toward Practical Machine Learning Applications in Constrained Settings. |
[02/2023] | Will serve as Invited PC for FAccT, ICML, and ICCV 2023. |
[01/2023] |
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[12/2022] |
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[11/2022] | One paper accepted to AAAI’2023 on a novel/ONLINE defense against Backdoor Attacks on ViTs. |
[11/2022] | Will serve as Invited PC for CVPR 2023. |
[09/2022] |
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[09/2022] | One paper accepted to ACCV’2022 on EBM/Retrieval. |
[07/2022] | Will serve as Invited PC for AAAI and ICLR 2023. |
[04/2022] | Gave a talk on Deep Retrieval Model at VinAI Research, Vietnam |
[03/2022] | Will serve as Invited PC for NeurIPS 2022. |
selected publications [full list]
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AAAI Defending backdoor attacks on vision transformer via patch processingIn AAAI Conference on Artificial Intelligence 2023
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NeurIPS Marksman Backdoor: Backdoor Attacks with Arbitrary Target ClassIn Thirty-Sixth Conference on Neural Information Processing Systems 2022