2D multi-area coverage path planning using L-SHADE in simulated ocean survey. - Guanzhong Chen; Yue Shen; Yixiao Zhang; Wenfeng Zhang; Dianrui Wang; Bo He 002 (Appl. Soft Comput., 2021)

A Modified ALOS Method of Path Tracking for AUVs with Reinforcement Learning Accelerated by Dynamic Data-Driven AUV Model. - Dianrui Wang; Bo He 002; Yue Shen; Guangliang Li; Guanzhong Chen (J. Intell. Robotic Syst., 2022)

Improving LSM-Tree Based Key-Value Stores With Fine-Grained Compaction Mechanism. - Hui Sun 002; Guanzhong Chen; Yinliang Yue; Xiao Qin 001 (IEEE Trans. Cloud Comput., 2023)

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. - Guanzhong Chen; Zhenghan Qin; Mingxin Yang; Yajie Zhou; Tao Fan 002; Tianyu Du; Zenglin Xu (CCS, 2024)

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. - Guanzhong Chen; Zhenghan Qin; Mingxin Yang; Yajie Zhou; Tao Fan; Tianyu Du; Zenglin Xu (CoRR, 2024)

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. - Yukun Zhang; Guanzhong Chen; Zenglin Xu; Jianyong Wang 001; Dun Zeng; Junfan Li; Jinghua Wang; Yuan Qi 001; Irwin King (CoRR, 2024)

gLSM: Using GPGPU to Accelerate Compactions in LSM-tree-based Key-value Stores. - Hui Sun 002; Jinfeng Xu 004; Xiangxiang Jiang; Guanzhong Chen; Yinliang Yue; Xiao Qin 001 (ACM Trans. Storage, 2024)

A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. - Yifei Zhang; Dun Zeng; Jinglong Luo; Xinyu Fu 004; Guanzhong Chen; Zenglin Xu; Irwin King (ACM Trans. Intell. Syst. Technol., 2024)

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. - Jinglong Luo; Guanzhong Chen; Yehong Zhang; Shiyu Liu; Hui Wang 013; Yue Yu 001; Xun Zhou 001; Yuan Qi 001; Zenglin Xu (ACL (1), 2025)

From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. - Zhuo Zhang 007; Yukun Zhang; Guanzhong Chen; Lizhen Qu; Xun Zhou 001; Hui Wang 013; Zenglin Xu (Neurocomputing, 2025)

Heterogeneous Group-Based Reinforcement Learning for LLM-based Multi-Agent Systems. - Guanzhong Chen; Shaoxiong Yang; Chao Li 033; Wei Liu 005; Jian Luan 001; Zenglin Xu (CoRR, 2025)