Khoa D. Doan
AI Researcher • Cognitive Computing Lab • Baidu Research | Vietnamese

I am a Researcher in the Cognitive Computing Lab at Baidu Research working with Dr. Ping Li on generative modeling and its practical applications (e.g., Information Retrieval and AI Security). Previously, I was at Virginia Tech/Sanghani Center for Artificial Intelligence & Data Analytics (Prof. Chandan K. Reddy) ⟵ Criteo AI Lab (Dr. Sathiya Keerthi Selvaraj and Dr. Fengjiao Wang) ⟵ UMCP/NASA Goddard Space Flight Center. More about me HERE and my professional/academic services HERE.
I’m looking for motivated research interns/assistants in Vietnam (and potentially other Asian countries), working on Robust ML (e.g., adversarial robustness, backdoor/poisoning attacks, & OOD/generalization robustness), Generative Models (e.g., energy-based generative models and diffusion models), and Low-resource NLP (e.g., translation & summarization). Please fill out this form if you are interested!
Research Interests
My research seeks answers to the following question: How to make ML models simpler & reliable to use in constrained settings? I am interested in developing computational frameworks that enable existing complex/deep models to be more suitable for practical uses. I focus on improving the following aspects of existing models: (i) training/inference, (ii) realistic assumptions, (iii) algorithmic robustness, and (iv) efficiency in constrained settings. Most of my ML/AI solutions center around generative-based approaches that have low computational complexity and require less human effort. More about my research interests HERE.
news
[04/2023] | One paper accepted to SIGIR’2023 on real-time ranking with non-metric/non-linear ranking functions (yes, Neural Networks!) |
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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] | Will serve on the Editorial Board of Springer’s Discover Data. |
[12/2022] | Recognized as Top Reviewer at NeurIPS 2022. |
[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] | One paper accepted to NeurIPS’2022 on a new threat of Backdoor Attacks. |
[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. |
[03/2022] | One paper accepted to CVPR’2022 on Generative Model/Image Hashing. |
[03/2022] | Will serve as Invited PC for ECCV 2022. |
[12/2021] | Will serve as Invited PC for ICML 2022. |
selected publications [full list]
- AAAI Defending backdoor attacks on vision transformer via patch processingIn AAAI Conference on Artificial Intelligence 2023
- NeurIPS Marksman Backdoor: Backdoor Attacks with Arbitrary Target ClassIn Thirty-Sixth Conference on Neural Information Processing Systems 2022