Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. - Zhidong Gao; Rui Hu 005; Yanmin Gong 001 (GLOBECOM, 2020)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shin-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (CoRR, 2023)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shih-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (ICLR, 2024)

FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks. - Jiannan Cai; Zhidong Gao; Yuanxiong Guo; Bastian Wibranek; Shuai Li 018 (Adv. Eng. Informatics, 2024)

Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning. - Zhidong Gao; Yu Zhang 047; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

One Node Per User: Node-Level Federated Learning for Graph Neural Networks. - Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (CoRR, 2024)

FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices. - Zhidong Gao; Yu Zhang 047; Zhenxiao Zhang; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. - Zhidong Gao; Zhenxiao Zhang; Yu Zhang 047; Tongnian Wang; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking. - Zhenxiao Zhang; Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2024)

Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA. - Zhidong Gao; Zhenxiao Zhang; Yuanxiong Guo; Yanmin Gong 001 (INFOCOM, 2025)

Heterogeneity-Aware Cooperative Federated Edge Learning With Adaptive Computation and Communication Compression. - Zhenxiao Zhang; Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2025)