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ORCIDYutong Dai 0002
Person information
- affiliation: Lehigh University, Bethlehem, PA, USA
Other persons with the same name
- Yutong Dai 0001
![[0000-0001-8019-4228]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8019-4228")
— University of Adelaide, Adelaide, SA, Australia - Yutong Dai 0003 — Hainan University, School of Cyberspace Security, Haikou, China
- Yutong Dai 0004 — Sony Corporation of America, San Jose, CA, USA
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2020 – today
- 2024
[j5]Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun:
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73(1): 3-17 (2024)- [c3]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. CVPR 2024: 24219-24228 - [i7]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:
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR abs/2404.18961 (2024) - [i6]Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun:
Variational Bayes for Federated Continual Learning. CoRR abs/2405.14291 (2024) - [i5]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:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - 2023
- [j4]Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel P. Robinson:
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization. Trans. Mach. Learn. Res. 2023 (2023) - [j3]Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun:
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. IEEE Trans. Parallel Distributed Syst. 34(2): 567-580 (2023) - [c2]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI 2023: 7314-7322 - [c1]Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson:
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. AISTATS 2023: 5107-5133 - [i4]Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun:
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR abs/2303.04226 (2023) - [i3]Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun:
Memory-adaptive Depth-wise Heterogenous Federated Learning. CoRR abs/2303.04887 (2023) - [i2]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR abs/2311.13127 (2023) - 2022
- [j2]Frank E. Curtis, Yutong Dai, Daniel P. Robinson:
A Subspace Acceleration Method for Minimization Involving a Group Sparsity-Inducing Regularizer. SIAM J. Optim. 32(2): 545-572 (2022) - [i1]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR abs/2212.02758 (2022) - 2020
- [j1]Yutong Dai, Yang Weng:
Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization. J. Syst. Sci. Complex. 33(2): 345-365 (2020)
Coauthor Index
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