| Navigating text-to-image customization: From lycoris fine-tuning to model evaluation SY Yeh, YG Hsieh, Z Gao, BBW Yang, G Oh, Y Gong The Twelfth International Conference on Learning Representations, 2023 | 41 | 2023 |
| Scalable and low-latency federated learning with cooperative mobile edge networking Z Zhang, Z Gao, Y Guo, Y Gong IEEE Transactions on Mobile Computing 23 (1), 812-822, 2022 | 35 | 2022 |
| Certified robustness of graph classification against topology attack with randomized smoothing Z Gao, R Hu, Y Gong GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 21 | 2020 |
| FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks J Cai, Z Gao, Y Guo, B Wibranek, S Li Advanced Engineering Informatics 60, 102411, 2024 | 9 | 2024 |
| Navigating text-to-image customization: From lycoris fine-tuning to model evaluation YEH SHIH-YING, YG Hsieh, Z Gao, BBW Yang, G Oh, Y Gong The Twelfth International Conference on Learning Representations, 2023 | 8 | 2023 |
| Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression Z Zhang, Z Gao, Y Guoh, Y Gong IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices Z Gao, Y Zhang, Z Zhang, Y Gong, Y Guo arXiv preprint arXiv:2410.00362, 2024 | | 2024 |
| Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning Z Gao, Z Zhang, Y Zhang, T Wang, Y Gong, Y Guo arXiv preprint arXiv:2410.10833, 2024 | | 2024 |
| Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning Z Gao, Y Zhang, Y Gong, Y Guo arXiv preprint arXiv:2409.19509, 2024 | | 2024 |
| One Node Per User: Node-Level Federated Learning for Graph Neural Networks Z Gao, Y Guo, Y Gong arXiv preprint arXiv:2409.19513, 2024 | | 2024 |
Yanmin GongUniversity of Texas at San AntonioVerified email at utsa.edu