Yutong Dai

25 papers A* 2A 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning.
CoRR
Luyu Yang, Yutong Dai, An Yan, Viraj Prabhu, Ran Xu, Zeyuan Chen
2025 J jnl
A Proximal-Gradient Method for Equality Constrained Optimization.
SIAM J. Optim.
Yutong Dai, Xiaoyi Qu, Daniel P. Robinson
2025 J jnl
A Survey of AI-Generated Content (AIGC).
ACM Comput. Surv.
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2025 — conf
BLIP-3: A Family of Open Large Multimodal Models.
ICCVW
Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025 J jnl
CoAct-1: Computer-using Agents with Coding as Actions.
CoRR
Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong
2025 J jnl
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization.
Artif. Intell.
Dezhong Yao, Wanning Pan, Yuexin Shi, Michael J. O'Neill, Yutong Dai, Yao Wan, Peilin Zhao, Hai Jin, Limin Sun
2025 J jnl
GTA1: GUI Test-time Scaling Agent.
CoRR
Yan Yang, Dongxu Li, Yutong Dai, Yuhao Yang, Ziyang Luo, Zirui Zhao, Zhiyuan Hu, Junzhe Huang, Amrita Saha, Zeyuan Chen, Ran Xu, Liyuan Pan, Caiming Xiong, Junnan Li
2025 J jnl
SCUBA: Salesforce Computer Use Benchmark.
CoRR
Yutong Dai, Krithika Ramakrishnan, Jing Gu, Matthew Fernandez, Yanqi Luo, Viraj Prabhu, Zhenyu Hu, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ran Xu
2025 J jnl
WALT: Web Agents that Learn Tools.
CoRR
Viraj Prabhu, Yutong Dai, Matthew Fernandez, Jing Gu, Krithika Ramakrishnan, Yanqi Luo, Silvio Savarese, Caiming Xiong, Junnan Li, Zeyuan Chen, Ran Xu
2024 J jnl
A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity.
Optim. Methods Softw.
Yutong Dai, Daniel P. Robinson
2024 J jnl
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.
IEEE Trans. Computers
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
2024 A* conf
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.
CVPR
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2024 J jnl
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.
CoRR
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
2024 J jnl
Variational Bayes for Federated Continual Learning.
CoRR
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
2024 J jnl
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.
CoRR
Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2023 J jnl
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.
CoRR
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2023 A conf
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization.
AISTATS
Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson
2023 J jnl
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization.
Trans. Mach. Learn. Res.
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson
2023 J jnl
Memory-adaptive Depth-wise Heterogenous Federated Learning.
CoRR
Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun
2023 J jnl
Personalized Edge Intelligence via Federated Self-Knowledge Distillation.
IEEE Trans. Parallel Distributed Syst.
Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun
2023 A* conf
Tackling Data Heterogeneity in Federated Learning with Class Prototypes.
AAAI
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2023 J jnl
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.
CoRR
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2022 J jnl
A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer.
SIAM J. Optim.
Frank E. Curtis, Yutong Dai, Daniel P. Robinson
2022 J jnl
Tackling Data Heterogeneity in Federated Learning with Class Prototypes.
CoRR
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2020 J jnl
Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization.
J. Syst. Sci. Complex.
Yutong Dai, Yang Weng