News 📢
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[2024.09] 3 Papers (DP-Attacker, RefDrop, QueST) are accepted to NeurIPS 2024 !
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[2024.05] I started as a summer research intern at Nvidia DIR Group !
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[2024.05] We propose DP-Attacker, a framework to attack Diffusion-based policy generator.
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[2024.04] We release PDM-Pure, a universal purifier for protection against diffusion models
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[2024.03] I received the ICLR'2024 travel award, thanks!
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[2024.01] Our Diff-Protect is accepted by ICLR'2024!
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[2023.10] I was awarded the NeurIPS'2023 scholar award, thanks!
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[2023.10] I was invited as a reviewer for TPAMI.
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[2023.10] We propose Diff-Protect, a more effective protection framework against AI mimicry.
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[2023.09] Diff-PGD and 3D-IntPhys are accepted by NeurIPS'2023!
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[2023.08] I was invited as a reviewer for ICLR'2024.
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[2023.05] We propose Diff-PGD, a diffusion-based adv-sample generation framework.
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[2022.12] I am selected as the Top Reviewer of NeurIPS 2022.
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[2022.10] Our Distance-Transformer is accepted to EMNLP2022 Findings.
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[2022.08] I will start as a PhD student at (ML@GT) starting from 2022Fall.
Research Interest
My research interest lies in broad aspects of Machine Learning topics such as Computer Vision and Natural Language Processing. Currently, I focus on the following topics:
- Generative Models (e.g. diffusion models, auto-regressive generative models)
- Generalized Embodied AI(e.g. diffusion policy, vision-language models)
- Safety and Robustness of GenAI(e.g. adversarial attacks, protection of diffusion models)
Reviewer Experience
I have reviewed 40+ papers for ML conferences like:
- NeurIPS@22/23/24/25
- ICLR@24/25
- AISTATS@25
- ICML@22/23/24
ML@GaTech, advised by
Dr. Yongxin Chen.
Previously, I obtained my B.E. of Computer Science from 
Shanghai Jiao Tong University with honor in Zhiyuan College in 2022. 
Nvidia (24 Summer) and
Microsoft Research Asia (21 Winter). I was a Visiting Student (2021) at
MIT CSAIL.
