Paper 'Knowledge Distillation Detection for Open-weights Models' accepted by NeurIPS 2025 (Sep 2025); Paper 'Model Immunization from a Condition Number Perspective' accepted as Oral in ICML 2025 (May 2025); Paper 'Multi-concept Model Immunization through Differentiable Model Merging' accepted by AAAI 2025 (Dec 2024); IMMA and LTO accepted by ECCV 2024 (Jul 2024); Invited keynote speaker of T2MM @ICME 2024 (Jul 2024); IMMA selected as an oral presentation and awarded Best Paper Runner-up at AI4CC @CVPR 2024 (Jun 2024); Paper 'Graph Machine Learning through the Lens of Bilevel Optimization' accepted by AISTATS 2024 (Jan 2024); Received NeurIPS 2022 Scholar Award (Oct 2022); Paper 'Learning Manifold Dimensions with Conditional Variational Autoencoders' accepted by NeurIPS 2022 (Sep 2022).
Research Experience
Research Scientist Intern at Meta GenAI since May 2025, working with Xi Yin and Lu Liu on a large-scale video generation project; Research Intern at Apple Camera from Apr. 2024 to Sept. 2024, worked with Chen Chen; Applied Scientist Intern at Amazon Web Services from Feb. 2022 to Apr. 2024, worked with David Wipf and Tong He.
Education
Ph.D. Student in Computer Science at Purdue University since Aug. 2022, advised by Prof. Raymond A. Yeh; B.Sc. in Data Science from Shanghai University of Finance and Economics, Sept. 2018 - Jul. 2022, worked with Prof. Yixuan Qiu.
Background
Research interests include generative models, post-training for video and image generation, retrieval-augmented architectures, and model safety/immunization. Passionate about building scalable, controllable generative systems that are both high-fidelity and safe.
Miscellany
Invited keynote speaker at T2MM @ICME (Jul 2024); Oral presentation at AI for Content Creation Workshop @CVPR (Jun 2024); CFAR Rising Star speaker at Centre for Frontier AI Research, Singapore (Mar 2023); Awarded Shanghai Outstanding Graduate and Honours Degree at Shanghai University of Finance and Economics (Jun 2022).