Zikai Zhang - RankMe

22 papers A* 2A 2B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities. ACM Trans. Cyber Phys. Syst. Zikai Zhang, Suman Rath, Jiahao Xu, Tingsong Xiao
2026	J	`jnl`	Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation. CoRR Zikai Zhang, Rui Hu, Jiahao Xu
2025	A	`conf`	Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. WACV Jiahao Xu, Zikai Zhang, Rui Hu
2025	A*	`conf`	Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. CVPR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation. IEEE Trans. Neural Networks Learn. Syst. Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu
2025	J	`jnl`	Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation. CoRR Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	A	`conf`	Identify Backdoored Model in Federated Learning via Individual Unlearning. WACV Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Majority Bit-Aware Watermarking For Large Language Models. CoRR Jiahao Xu, Rui Hu, Zikai Zhang
2025	B	`conf`	On the Out-of-Distribution Backdoor Attack for Federated Learning. MobiHoc Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	On the Out-of-Distribution Backdoor Attack for Federated Learning. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Traceable Black-box Watermarks for Federated Learning. CoRR Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang
2024	J	`jnl`	Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2024	J	`jnl`	Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning. CoRR Zikai Zhang, Jiahao Xu, Ping Liu, Rui Hu
2024	J	`jnl`	Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities. CoRR Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao
2024	J	`jnl`	Identify Backdoored Model in Federated Learning via Individual Unlearning. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2023	—	`conf`	Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. CNS Zikai Zhang, Rui Hu
2023	J	`jnl`	Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. CoRR Zikai Zhang, Rui Hu
2022	—	`conf`	Global-local Feature Aggregation for Event-based Object Detection on EventKITTI. MFI Zichen Liang, Hu Cao, Chu Yang, Zikai Zhang, Guang Chen
2021	A*	`conf`	Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. CVPR Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang
2021	J	`jnl`	Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. CoRR Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang