Zhidong Gao - RankMe

18 papers A* 2B 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. IEEE Trans. Veh. Technol. Yu Zhang, Zhidong Gao, Zhenxiao Zhang, Tongnian Wang, Yanmin Gong, Yuanxiong Guo
2025	J	`jnl`	Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models. CoRR Zhidong Gao, Zimeng Pan, Yuhang Yao, Chenyue Xie, Wei Wei
2025	A*	`conf`	Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA. INFOCOM Zhidong Gao, Zhenxiao Zhang, Yuanxiong Guo, Yanmin Gong
2025	J	`jnl`	Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning. CoRR Yajie Qi, Wei Wei, Lin Li, Lijun Zhang, Zhidong Gao, Da Wang, Huizhong Song
2025	J	`jnl`	Heterogeneity-Aware Cooperative Federated Edge Learning With Adaptive Computation and Communication Compression. IEEE Trans. Mob. Comput. Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong
2025	J	`jnl`	Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning. IEEE Internet Things J. Zhidong Gao, Zhenxiao Zhang, Yu Zhang, Yanmin Gong, Yuanxiong Guo
2024	J	`jnl`	FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks. Adv. Eng. Informatics Jiannan Cai, Zhidong Gao, Yuanxiong Guo, Bastian Wibranek, Shuai Li
2024	J	`jnl`	FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices. CoRR Zhidong Gao, Yu Zhang, Zhenxiao Zhang, Yanmin Gong, Yuanxiong Guo
2024	J	`jnl`	Heterogeneity-Aware Cooperative Federated Edge Learning with Adaptive Computation and Communication Compression. CoRR Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong
2024	J	`jnl`	Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning. CoRR Zhidong Gao, Yu Zhang, Yanmin Gong, Yuanxiong Guo
2024	A*	`conf`	Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. ICLR Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong
2024	J	`jnl`	One Node Per User: Node-Level Federated Learning for Graph Neural Networks. CoRR Zhidong Gao, Yuanxiong Guo, Yanmin Gong
2024	J	`jnl`	Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. CoRR Zhidong Gao, Zhenxiao Zhang, Yu Zhang, Tongnian Wang, Yanmin Gong, Yuanxiong Guo
2024	J	`jnl`	Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking. IEEE Trans. Mob. Comput. Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong
2023	J	`jnl`	Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. CoRR Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B. W. Yang, Giyeong Oh, Yanmin Gong
2022	J	`jnl`	Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking. CoRR Zhenxiao Zhang, Zhidong Gao, Yuanxiong Guo, Yanmin Gong
2020	B	`conf`	Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. GLOBECOM Zhidong Gao, Rui Hu, Yanmin Gong
2020	J	`jnl`	Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. CoRR Zhidong Gao, Rui Hu, Yanmin Gong