Zecheng He

I am staff research scientist at Meta GenAI, working on image and video generation, including personalized image/video diffusion models, native image generation, and controllable generation. I obtained my Ph.D. from Princeton University.

Email / CV / Scholar / LinkedIn / Github

Research

I am interested in generative models for image and video, including diffusion-based and native generation models. I was the 1) core contributor of MovieGen, leading personalized video generation pretrain and post-train, 2) lead and first author of Imagine Yourself, Meta's first personalized image generation model, and 3) core contributor to Llama native image generation, focusing on native model architecture design and development.

Selected Publications (Full List)

	Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu Computer Vision and Pattern Recognition (CVPR), 2025 project page / paper
	Movie Gen: A Cast of Media Foundation Models Zecheng He as core contributor, The Movie Gen Team Technical Report, 2024 project page / paper
	Imagine Yourself: Tuning-Free Personalized Image Generation Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha arXiv Preprint, 2024 project page / paper
	MoCha: Towards Movie-Grade Talking Character Synthesis Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen arXiv Preprint, 2024 project page / paper
	DirectorLLM for Human-Centric Video Generation Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu, arXiv Preprint, 2024 paper
	Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam Tsai, Yun Fu arXiv Preprint, 2024 paper
	Trainable Projected Gradient Method for Robust Fine-tuning Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira Computer Vision and Pattern Recognition (CVPR), 2023 paper
	Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S Kevin Zhou IEEE Transactions on Medical Imaging, 2023 paper
	ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby Lee, Jindong Chen Annual AAAI Conference on Artificial Intelligence (AAAI), 2021 paper
	New Models for Understanding and Reasoning about Speculative Execution Attacks Zecheng He, Guangyuan He, Ruby Lee International Symposium on High-Performance Computer Architecture (HPCA), 2021 paper
	Sensitive-sample Fingerprinting of Deep Neural Networks Zecheng He, Tianwei Zhang, Ruby Lee Computer Vision and Pattern Recognition (CVPR), 2019 paper
	Model Inversion Attacks Against Collaborative Inference Zecheng He, Tianwei Zhang, Ruby Lee Annual Computer Security Applications Conference (ACSAC), 2019 paper
	Attacking and Protecting Data Privacy in Edge–Cloud Collaborative Inference Systems Zecheng He, Tianwei Zhang, Ruby Lee IEEE Internet of Things Journal, 2019 paper
	Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang, Zecheng He, Ruby Lee arXiv Preprint, 2018 paper
	How secure is your cache against side-channel attacks? Zecheng He, Tianwei Zhang, Ruby Lee International Symposium on Microarchitecture (MICRO), 2017 paper

Work Experience

Feb. 2023 - Present	Staff Research Scientist, Meta GenAI
Sep. 2021 - Jan. 2023	Research Scientist/Senior Research Scientist, Meta Reality Labs
May 2020 - Aug. 2020	Research Intern, Google Research
May 2019 - Aug. 2019	Machine Learning Engineer Intern, Facebook
Jun. 2017 - Sep. 2017	Research Intern, SRI International

Education

Sep. 2015 - Aug. 2021	Ph.D. in Electrical and Computer Engineering, Princeton University
Sep. 2015 - Aug. 2021	B.E. in Information Engineering, University of Science and Technology of China (USTC)

Professional Services

CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, BMVC