An Advective-Spectral-Mixed Method for Time-Dependent Many-Body Wigner Simulations. - Yunfeng Xiong; Zhenzhu Chen; Sihong Shao (SIAM J. Sci. Comput., 2016)

Secure and Verifiable Outsourcing of Large-Scale Matrix Inversion without Precondition in Cloud Computing. - Zhenzhu Chen; Anmin Fu; Ke Xiao; Mang Su; Yan Yu; Yongli Wang (ICC, 2018)

New Algorithm for Secure Outsourcing of Modular Exponentiation with Optimal Checkability Based on Single Untrusted Server. - Yiming Zhu; Anmin Fu; Shui Yu 001; Yan Yu; Shuai Li; Zhenzhu Chen (ICC, 2018)

A high order efficient numerical method for 4-D Wigner equation of quantum double-slit interferences. - Zhenzhu Chen; Sihong Shao; Wei Cai (J. Comput. Phys., 2019)

Numerical Methods for the Wigner Equation with Unbounded Potential. - Zhenzhu Chen; Yunfeng Xiong; Sihong Shao (J. Sci. Comput., 2019)

A Privacy-Preserving and Verifiable Federated Learning Scheme. - Xianglong Zhang; Anmin Fu; Huaqun Wang; Chunyi Zhou; Zhenzhu Chen (ICC, 2020)

Secure Collaborative Deep Learning Against GAN Attacks in the Internet of Things. - Zhenzhu Chen; Anmin Fu; Yinghui Zhang 002; Zhe Liu 001; Fanjian Zeng; Robert H. Deng (IEEE Internet Things J., 2021)

Secure and verifiable outsourced data dimension reduction on dynamic data. - Zhenzhu Chen; Anmin Fu; Robert H. Deng; Ximeng Liu; Yang Yang 026; Yinghui Zhang 002 (Inf. Sci., 2021)

Comparison of numerical treatments for the pseudo-differential term in the Wigner equation. - Zhenzhu Chen (CoRR, 2022)

LinkBreaker: Breaking the Backdoor-Trigger Link in DNNs via Neurons Consistency Check. - Zhenzhu Chen; Shang Wang; Anmin Fu; Yansong Gao 001; Shui Yu 001; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2022)

Cloud-Based Outsourcing for Enabling Privacy-Preserving Large-Scale Non-Negative Matrix Factorization. - Anmin Fu; Zhenzhu Chen; Yi Mu 001; Willy Susilo; Yinxia Sun; Jie Wu (IEEE Trans. Serv. Comput., 2022)

MP-CLF: An effective Model-Preserving Collaborative deep Learning Framework for mitigating data leakage under the GAN. - Zhenzhu Chen; Jie Wu; Anmin Fu; Mang Su; Robert H. Deng (Knowl. Based Syst., 2023)

DeGain: Detecting GAN-Based Data Inversion in Collaborative Deep Learning. - Zhenzhu Chen; Yansong Gao 001; Anmin Fu; Fanjian Zeng; Boyu Kuang; Robert H. Deng (ACISP (3), 2025)

Unified and efficient multi-view clustering with tensorized bipartite graph. - Lei Cao; Zhenzhu Chen; Chuanqing Tang; Junyu Chen; Huaming Du; Yu Zhao 019; Qing Li 005; Long Shi 002 (Expert Syst. Appl., 2025)