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

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

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

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

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

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

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

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

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

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

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

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

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

LLM for Mobile: An Initial Roadmap. - Chen, Daihang; Liu, Yonghui; Zhou, Mingyi; Zhao, Yanjie; Wang, Haoyu; Wang, Shuai; Chen, Xiao; Bissyandé, Tegawendé F.; Klein, Jacques; Li, Li (CoRR, 2024)

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

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators. - Zhou, Mingyi; Gao, Xiang; Chen, Xiao; Chen, Chunyang; Grundy, John C.; Li, Li (CoRR, 2024)

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

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems. - Zhou, Mingyi; Gao, Xiang; Wu, Jing; Grundy, John; Chen, Xiao; Chen, Chunyang; Li, Li (CoRR, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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