Yutong Dai

According to our database, Yutong Dai authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.

Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun

IEEE Trans. Computers, January, 2024

A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity.

Yutong Dai, Daniel P. Robinson

Optim. Methods Softw., 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

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

CoRR, 2024

Variational Bayes for Federated Continual Learning.

Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun

CoRR, 2024

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.

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

CoRR, 2024

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.

Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Personalized Edge Intelligence via Federated Self-Knowledge Distillation.

Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun

IEEE Trans. Parallel Distributed Syst., February, 2023

An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization.

Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson

Trans. Mach. Learn. Res., 2023

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.

Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

CoRR, 2023

Memory-adaptive Depth-wise Heterogenous Federated Learning.

Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun

CoRR, 2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun

CoRR, 2023

A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization.

Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Tackling Data Heterogeneity in Federated Learning with Class Prototypes.

Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer.

Frank E. Curtis, Yutong Dai, Daniel P. Robinson

SIAM J. Optim., 2022

2020

Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization.

Yutong Dai, Yang Weng

J. Syst. Sci. Complex., 2020