Ching-Yao Chuang

31 papers A* 14Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Learnings from Scaling Visual Tokenizers for Reconstruction and Generation. ICML Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
2025	J	`jnl`	Populate-A-Scene: Affordance-Aware Human Video Generation. CoRR Mengyi Shan, Zecheng He, Haoyu Ma, Felix Juefei-Xu, Peizhao Zhang, Tingbo Hou, Ching-Yao Chuang
2024	A*	`conf`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CVPR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2023	J	`jnl`	Debiasing Vision-Language Models via Biased Prompts. CoRR Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka
2023	J	`jnl`	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
2023	A*	`conf`	InfoOT: Information Maximizing Optimal Transport. ICML Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
2023	—	`—`	Robust Learning from Uncurated Data Ching-Yao Chuang
2023	J	`jnl`	The Inductive Bias of Flatness Regularization for Deep Matrix Factorization. CoRR Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank J. Reddi, Tengyu Ma, Stefanie Jegelka
2023	A*	`conf`	What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models. NeurIPS Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma, Sashank J. Reddi, Stefanie Jegelka, Ching-Yao Chuang
2022	J	`jnl`	InfoOT: Information Maximizing Optimal Transport. CoRR Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis
2022	A*	`conf`	Robust Contrastive Learning against Noisy Views. CVPR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	J	`jnl`	Robust Contrastive Learning against Noisy Views. CoRR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	A*	`conf`	Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks. NeurIPS Ching-Yao Chuang, Stefanie Jegelka
2022	J	`jnl`	Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks. CoRR Ching-Yao Chuang, Stefanie Jegelka
2021	A*	`conf`	Contrastive Learning with Hard Negative Samples. ICLR Joshua David Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
2021	A*	`conf`	Fair Mixup: Fairness via Interpolation. ICLR Ching-Yao Chuang, Youssef Mroueh
2021	J	`jnl`	Fair Mixup: Fairness via Interpolation. CoRR Ching-Yao Chuang, Youssef Mroueh
2021	A*	`conf`	Measuring Generalization with Optimal Transport. NeurIPS Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
2021	J	`jnl`	Measuring Generalization with Optimal Transport. CoRR Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
2020	J	`jnl`	Contrastive Learning with Hard Negative Samples. CoRR Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
2020	A*	`conf`	Debiased Contrastive Learning. NeurIPS Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
2020	J	`jnl`	Debiased Contrastive Learning. CoRR Ching-Yao Chuang, Joshua Robinson, Yen-Chen Lin, Antonio Torralba, Stefanie Jegelka
2020	A*	`conf`	Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. ICML Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
2020	J	`jnl`	Estimating Generalization under Distribution Shifts via Domain-Invariant Representations. CoRR Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
2019	J	`jnl`	The Role of Embedding Complexity in Domain-invariant Representations. CoRR Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka
2018	A*	`conf`	Learning to Act Properly: Predicting and Explaining Affordances From Images. CVPR Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler
2017	J	`jnl`	Learning to Act Properly: Predicting and Explaining Affordances from Images. CoRR Ching-Yao Chuang, Jiaman Li, Antonio Torralba, Sanja Fidler
2017	A*	`conf`	Leveraging Video Descriptions to Learn Video Question Answering. AAAI Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun
2017	A*	`conf`	Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner. ICCV Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun
2017	J	`jnl`	Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner. CoRR Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang, Wan Ting Hsu, Jianlong Fu, Min Sun
2016	J	`jnl`	Leveraging Video Descriptions to Learn Video Question Answering. CoRR Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun