Zikai Zhang

According to our database, Zikai Zhang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SelfGrader: Stable Jailbreak Detection for Large Language Models using Token-Level Logits.

Zikai Zhang, Rui Hu, Olivera Kotevska, Jiahao Xu

CoRR, April, 2026

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation.

Zikai Zhang, Rui Hu, Jiahao Xu

CoRR, February, 2026

Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities.

Zikai Zhang, Suman Rath, Jiahao Xu, Tingsong Xiao

ACM Trans. Cyber Phys. Syst., January, 2026

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts.

Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation.

Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Majority Bit-Aware Watermarking For Large Language Models.

Jiahao Xu, Rui Hu, Zikai Zhang

CoRR, August, 2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.

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

CoRR, June, 2025

Traceable Black-box Watermarks for Federated Learning.

Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang

CoRR, May, 2025

Identify Backdoored Model in Federated Learning via Individual Unlearning.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

On the Out-of-Distribution Backdoor Attack for Federated Learning.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning.

Zikai Zhang, Jiahao Xu, Ping Liu, Rui Hu

CoRR, 2024

Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities.

Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao

CoRR, 2024

2023

Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy.

Zikai Zhang, Rui Hu

Proceedings of the IEEE Conference on Communications and Network Security, 2023

2022

Global-local Feature Aggregation for Event-based Object Detection on EventKITTI.

Zichen Liang, Hu Cao, Chu Yang, Zikai Zhang, Guang Chen

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

2021

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy.

Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021