On linearly topological structure and property of fuzzy normed linear space. - Jianzhong Xiao; Xinghua Zhu (Fuzzy Sets Syst., 2002)

Model Selection and Estimation of Multi-compartment Models in Diffusion MRI with a Rician Noise Model. - Xinghua Zhu; Yaniv Gur; Wenping Wang; P. Thomas Fletcher (IPMI, 2013)

On Probability Calibration of Recurrent Text Recognition Network. - Xinghua Zhu; Jianzong Wang; Zhenhou Hong; Junxiong Guo; Jing Xiao 006 (ICONIP (3), 2019)

Federated Learning of Unsegmented Chinese Text Recognition Model. - Xinghua Zhu; Jianzong Wang; Zhenhou Hong; Tian Xia 004; Jing Xiao 006 (ICTAI, 2019)

Scenario-Based Risk Assessment of Earthquake Disaster Using Slope Displacement, PGA, and Population Density in the Guyuan Region, China. - Jianqi Zhuang; Jianbing Peng; Xinghua Zhu; Weiliang Huang (ISPRS Int. J. Geo Inf., 2019)

Empirical Studies of Institutional Federated Learning For Natural Language Processing. - Xinghua Zhu; Jianzong Wang; Zhenhou Hong; Jing Xiao 006 (EMNLP (Findings), 2020)

A Quantitative Metric for Privacy Leakage in Federated Learning. - Yong Liu 033; Xinghua Zhu; Jianzong Wang; Jing Xiao 006 (ICASSP, 2021)

Efficient Client Contribution Evaluation for Horizontal Federated Learning. - Jie Zhao; Xinghua Zhu; Jianzong Wang; Jing Xiao 006 (ICASSP, 2021)

Quantum Convolutional Neural Network on Protein Distance Prediction. - Zhenhou Hong; Jianzong Wang; Xiaoyang Qu; Xinghua Zhu; Jie Liu; Jing Xiao 006 (IJCNN, 2021)

Anomaly Removal for Vehicle Energy Consumption in Federated Learning. - Guanyu Lin; Xinghua Zhu; Jianzong Wang; Jing Xiao 006 (IJCNN, 2021)

Diversified Point Cloud Classification Using Personalized Federated Learning. - Anshun Xue; Xinghua Zhu; Jianzong Wang; Jing Xiao 006 (IJCNN, 2021)

Speech2Video: Cross-Modal Distillation for Speech to Video Generation. - Shijing Si; Jianzong Wang; Xiaoyang Qu; Ning Cheng 001; Wenqi Wei; Xinghua Zhu; Jing Xiao 006 (Interspeech, 2021)

Case Study of Few-Shot Learning in Text Recognition Models. - Jianzong Wang; Shijing Si; Zhenhou Hong; Xiaoyang Qu; Xinghua Zhu; Jing Xiao 006 (WISE (2), 2021)

Performance Analysis of Least Squares of Continuous-Time Model Based on Sampling Data. - Xinghua Zhu; Die Gan; Zhixin Liu 003 (IEEE Control. Syst. Lett., 2022)

Distributed Least Squares Algorithm for Continuous-time Stochastic Systems Under Cooperative Excitation Condition. - Xinghua Zhu; Zhixin Liu 003 (CoRR, 2023)

Performance analysis of least squares algorithm for multivariable stochastic systems. - Ziming Wang; Yiming Xing; Xinghua Zhu (Kybernetika, 2023)

Stacking Deep Set Networks and Pooling by Quantiles. - Zhuojun Chen; Xinghua Zhu; Dongzhe Su; Justin C. I. Chuang (ICML, 2024)

Distributed Least Squares Algorithm of Continuous-Time Stochastic Regression Model Based on Sampled Data. - Xinghua Zhu; Die Gan; Zhixin Liu 003 (J. Syst. Sci. Complex., 2024)

Traffic Anomaly Detection through Generative Modeling of Multi-Agent Interactions in Traffic Flow. - Zhuojun Chen; Tacitus Hui; Xinghua Zhu; Dongzhe Su (AAMAS, 2025)