Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization. - Yutong Dai 002; Yang Weng (J. Syst. Sci. Complex., 2020)

A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer. - Frank E. Curtis; Yutong Dai 002; Daniel P. Robinson (SIAM J. Optim., 2022)

Tackling Data Heterogeneity in Federated Learning with Class Prototypes. - Yutong Dai 002; Zeyuan Chen 001; Junnan Li 001; Shelby Heinecke; Lichao Sun 001; Ran Xu 001 (AAAI, 2023)

A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. - Yutong Dai 002; Guanyi Wang; Frank E. Curtis; Daniel P. Robinson (AISTATS, 2023)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (CoRR, 2023)

Memory-adaptive Depth-wise Heterogenous Federated Learning. - Kai Zhang 039; Yutong Dai 002; Hongyi Wang 001; Eric P. Xing; Xun Chen; Lichao Sun 001 (CoRR, 2023)

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. - Yutong Dai 002; Tianyi Chen; Guanyi Wang; Daniel P. Robinson (Trans. Mach. Learn. Res., 2023)

Personalized Edge Intelligence via Federated Self-Knowledge Distillation. - Hai Jin 001; Dongshan Bai; Dezhong Yao 002; Yutong Dai 002; Lin Gu 002; Chen Yu 003; Lichao Sun 001 (IEEE Trans. Parallel Distributed Syst., 2023)

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CVPR, 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

Variational Bayes for Federated Continual Learning. - Dezhong Yao 002; Sanmu Li; Yutong Dai 002; Zhiqiang Xu 003; Shengshan Hu; Peilin Zhao; Lichao Sun 001 (CoRR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

A proximal-gradient method for problems with overlapping group-sparse regularization: support identification complexity. - Yutong Dai 002; Daniel P. Robinson (Optim. Methods Softw., 2024)

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. - Dezhong Yao 002; Wanning Pan; Yutong Dai 002; Yao Wan 001; Xiaofeng Ding 001; Chen Yu 003; Hai Jin 001; Zheng Xu 002; Lichao Sun 001 (IEEE Trans. Computers, 2024)

FedHM: Efficient federated learning for heterogeneous models via low-rank factorization. - Dezhong Yao 002; Wanning Pan; Yuexin Shi; Michael J. O'Neill 002; Yutong Dai 002; Yao Wan 001; Peilin Zhao; Hai Jin 001; Limin Sun 001 (Artif. Intell., 2025)

A Survey of AI-Generated Content (AIGC). - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (ACM Comput. Surv., 2025)

GTA1: GUI Test-time Scaling Agent. - Yan Yang; Dongxu Li; Yutong Dai 002; Yuhao Yang; Ziyang Luo; Zirui Zhao; Zhiyuan Hu; Junzhe Huang; Amrita Saha; Zeyuan Chen 001; Ran Xu 001; Liyuan Pan; et al. (CoRR, 2025)

CoAct-1: Computer-using Agents with Coding as Actions. - Linxin Song; Yutong Dai 002; Viraj Prabhu; Jieyu Zhang 001; Taiwei Shi; Li Li; Junnan Li 001; Silvio Savarese; Zeyuan Chen 001; Jieyu Zhao 001; Ran Xu 001; Caiming Xiong (CoRR, 2025)