An Automated Diagnostic System for Heart Disease Prediction Based on χ2 Statistical Model and Optimally Configured Deep Neural Network. - Liaqat Ali; Atiqur Rahman; Aurangzeb Khan; Mingyi Zhou; Ashir Javeed; Javed Ali Khan (IEEE Access, 2019)

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model. - Liaqat Ali; Ce Zhu; Noorbakhsh Amiri Golilarz; Ashir Javeed; Mingyi Zhou; Yipeng Liu 001 (IEEE Access, 2019)

Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection. - Liaqat Ali; Ce Zhu; Mingyi Zhou; Yipeng Liu 001 (Expert Syst. Appl., 2019)

Tensor rank learning in CP decomposition via convolutional neural network. - Mingyi Zhou; Yipeng Liu 001; Zhen Long; Longxi Chen; Ce Zhu (Signal Process. Image Commun., 2019)

DaST: Data-Free Substitute Training for Adversarial Attacks. - Mingyi Zhou; Jing Wu 021; Yipeng Liu 001; Shuaicheng Liu; Ce Zhu (CVPR, 2020)

Adversarial Imitation Attack. - Mingyi Zhou; Jing Wu 021; Yipeng Liu 001; Xiaolin Huang; Shuaicheng Liu; Xiang Zhang 006; Ce Zhu (CoRR, 2020)

ProbaNet: Proposal-balanced Network for Object Detection. - Jing Wu 021; Xiang Zhang 006; Mingyi Zhou; Ce Zhu (CoRR, 2020)

Decision-based Universal Adversarial Attack. - Jing Wu 021; Mingyi Zhou; Shuaicheng Liu; Yipeng Liu 001; Ce Zhu (CoRR, 2020)

Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis Using Diffusion Tensor Imaging. - Hengling Zhao; Chih-Chien Tsai; Ce Zhu; Mingyi Zhou; Jiun-Jie Wang; Yipeng Liu 001 (ICIG (2), 2021)

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. - Jing Wu 021; Mingyi Zhou; Ce Zhu; Yipeng Liu 001; Mehrtash Harandi; Li Li 029 (CoRR, 2021)

Prediction Potential of Remote Sensing-Related Variables in the Topsoil Organic Carbon Density of Liaohekou Coastal Wetlands, Northeast China. - Shuai Wang 011; Mingyi Zhou; Qianlai Zhuang; Liping Guo (Remote. Sens., 2021)

Defense against Privacy Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (CoRR, 2022)

Local Label Point Correction for Edge Detection of Overlapping Cervical Cells. - Jiawei Liu 003; Huijie Fan; Qiang Wang 015; Wentao Li; Yandong Tang; Danbo Wang; Mingyi Zhou; Li Chen (Frontiers Neuroinformatics, 2022)

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems. - Mingyi Zhou; Xiang Gao 012; Jing Wu 021; John C. Grundy; Xiao Chen 002; Chunyang Chen 001; Li Li 029 (ISSTA, 2023)

Concealing Sensitive Samples against Gradient Leakage in Federated Learning. - Jing Wu 021; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi (AAAI, 2024)

Investigating White-Box Attacks for On-Device Models. - Mingyi Zhou; Xiang Gao 012; Jing Wu 021; Kui Liu 001; Hailong Sun 001; Li Li 029 (ICSE, 2024)

Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models. - Mingyi Zhou; Xiang Gao 012; Pei Liu; John Grundy 001; Chunyang Chen 001; Xiao Chen 002; Li Li 029 (ISSTA, 2024)

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators. - Mingyi Zhou; Xiang Gao 012; Xiao Chen 002; Chunyang Chen 001; John Grundy 001; Li Li 029 (ASE, 2024)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach. - Zhihao Lin; Wei Ma; Mingyi Zhou; Yanjie Zhao 001; Haoyu Wang 001; Yang Liu 003; Jun Wang 020; Li Li 029 (CoRR, 2024)

CustomDLCoder: Generating Pure Code Implementations to Replace On-Device DL Models. - Mingyi Zhou; Xiang Gao 012; Pei Liu; John Grundy 001; Chunyang Chen 001; Xiao Chen 002; Li Li 029 (Zenodo, 2024)

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators. - Mingyi Zhou; Xiang Gao 012; Xiao Chen 002; Chunyang Chen 001; John Grundy 001; Li Li 029 (Zenodo, 2024)

ArkAnalyzer: The Static Analysis Framework for OpenHarmony. - Haonan Chen; Daihang Chen; Yizhuo Yang 005; Lingyun Xu; Liang Gao; Mingyi Zhou; Chunming Hu; Li Li 029 (SEIP@ICSE, 2025)

HapRepair: Learn to Repair OpenHarmony Apps. - Zhihao Lin; Mingyi Zhou; Wei Ma; Chi Chen; Yun Yang 003; Jun Wang 020; Chunming Hu; Li Li 029 (SIGSOFT FSE Companion, 2025)

HapTest: The Dynamic Analysis Framework for OpenHarmony. - Farong Liu; Mingyi Zhou; Yakun Zhang 001; Ting Su 001; Bo Sun; Jacques Klein; Xiang Gao 012; Li Li 029 (SIGSOFT FSE Companion, 2025)

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints. - Guanyu Wang 005; Kailong Wang 001; Yihao Huang 001; Mingyi Zhou; Zhang Qing cnwatcher; Geguang Pu; Li Li 029 (CoRR, 2025)

LLM for Mobile: An Initial Roadmap. - Daihang Chen; Yonghui Liu; Mingyi Zhou; Yanjie Zhao 001; Haoyu Wang 001; Shuai Wang 011; Xiao Chen 002; Tegawendé F. Bissyandé; Jacques Klein; Li Li 029 (ACM Trans. Softw. Eng. Methodol., 2025)

IMU: Influence-guided Machine Unlearning. - Xindi Fan; Jing Wu 021; Mingyi Zhou; Pengwei Liang; Dinh Phung 001 (CoRR, 2025)