I am a Member of Technical Staff at xAI, working on multimodality, reasoning, and agents. Previously, I was a Research Scientist at Meta GenAI, focusing on Llama 4 omni model and Movie Gen.
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen ICML 2025[paper][project page]
Movie Gen: A Cast of Media Foundation Models Core Contributor, The Movie Gen Team. Technical Report[paper][blog]
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, and Stefanie Jegelka arXiv Preprint 2023[paper][code]
The Inductive Bias of Flatness Regularization for Deep Matrix Factorization Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, and Stefanie Jegelka NeurIPS 2023[paper]
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang, Stefanie Jegelka, and David Alvarez-Melis ICML 2023[paper][code]
Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang and Stefanie Jegelka NeurIPS 2022[paper][code]
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, and Yale Song CVPR 2022[paper][code]
Measuring Generalization with Optimal Transport Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, and Stefanie Jegelka NeurIPS 2021 Spotlight[paper][code]
Contrastive Learning with Hard Negative Samples Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, and Stefanie Jegelka ICLR 2021[paper][code]
Debiased Contrastive Learning Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, and Stefanie Jegelka NeurIPS 2020 Spotlight[paper][code]
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang, Antonio Torralba, and Stefanie Jegelka ICML 2020[paper][project page]
The Role of Embedding Complexity in Domain-invariant Representations Ching-Yao Chuang, Antonio Torralba, and Stefanie Jegelka ICML 2019 AMTL Workshop [paper][code]
Learning to Act Properly: Predicting and Explaining Affordances from Images Ching-Yao Chuang, Jiaman Li, Antonio Torralba and Sanja Fidler CVPR 2018[paper][project page]
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan-Ting Hsu, Jianlong Fu and Min Sun ICCV 2017[paper][project page]
Leveraging Video Descriptions to Learn Video Question Answering Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles and Min Sun AAAI 2017[paper][project page][dataset]
