Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching. - Pengjiang Qian; Kaifa Zhao; Yizhang Jiang; Kuan-Hao Su; Zhaohong Deng; Shitong Wang 001; Raymond F. Muzic Jr. (Knowl. Based Syst., 2017)

Multi-View Maximum Entropy Clustering by Jointly Leveraging Inter-View Collaborations and Intra-View-Weighted Attributes. - Pengjiang Qian; Jiaxu Zhou; Yizhang Jiang; Fan Liang; Kaifa Zhao; Shitong Wang 001; Kuan-Hao Su; Raymond F. Muzic Jr. (IEEE Access, 2018)

Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach. - Fan Liang; Pengjiang Qian; Kuan-Hao Su; Atallah Baydoun; Asha Leisser; Steven Van Hedent; Jung-Wen Kuo; Kaifa Zhao; Parag Parikh; Yonggang Lu; Bryan J. Traughber; Raymond F. Muzic Jr. (Artif. Intell. Medicine, 2018)

A Transfer Fuzzy Clustering and Neural Network Based Tissue Segmentation Method During PET/MR Attenuation Correction. - Kaifa Zhao; Leyuan Zhou; Pengjiang Qian; Yang Ding; Yizhang Jiang; Yangyang Chen; Jiamin Zheng; Kuan-Hao Su; Raymond F. Muzic Jr. (J. Medical Imaging Health Informatics, 2019)

Semi-Automatic Synthetic Computed Tomography Generation for Abdomens Using Transfer Learning and Semi-Supervised Classification. - Jiamin Zheng; Jiawei Cao; Zixian Wang; Fan Liu; Sihan Wang; Tianying Wu; Chen Yang 028; Kaifa Zhao; Yizhang Jiang; Pengjiang Qian (J. Medical Imaging Health Informatics, 2019)

Multi-Organ Auto-Contouring on MR Images Based on Laplacian Support Vector Machines. - Leyuan Zhou; Kaifa Zhao; Yang Ding; Jiamin Zheng; Yangyang Chen; Yizhang Jiang; Pengjiang Qian (J. Medical Imaging Health Informatics, 2019)

A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation. - Yizhang Jiang; Kaifa Zhao; Kaijian Xia; Jing Xue; Leyuan Zhou; Yang Ding; Pengjiang Qian (J. Medical Syst., 2019)

Recognition of Large-Scale ncRNA Data Using a Novel Multitask Cross-Learning 0-Order TSK Fuzzy Classifier. - Yizhang Jiang; Jiaqi Zhu; Xiaoqing Gu; Jing Xue; Kaifa Zhao; Tongguang Ni; Pengjiang Qian (J. Medical Imaging Health Informatics, 2020)

View-collaborative fuzzy soft subspace clustering for automatic medical image segmentation. - Kaifa Zhao; Yizhang Jiang; Kaijian Xia; Leyuan Zhou; Yangyang Chen; Ke Xu; Pengjiang Qian (Multim. Tools Appl., 2020)

mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification. - Pengjiang Qian; Yangyang Chen; Jung-Wen Kuo; Yu-Dong Zhang 001; Yizhang Jiang; Kaifa Zhao; Rose Al Helo; Harry Friel; Atallah Baydoun; Feifei Zhou; Jin Uk Heo; Norbert Avril; et al. (IEEE Trans. Medical Imaging, 2020)

Structural Attack against Graph Based Android Malware Detection. - Kaifa Zhao; Hao Zhou 009; Yulin Zhu; Xian Zhan; Kai Zhou 001; Jianfeng Li 006; Le Yu 002; Wei Yuan 001; Xiapu Luo (CCS, 2021)

Inaccurate Prediction Is Not Always Bad: Open-World Driver Recognition via Error Analysis. - Jianfeng Li 006; Kaifa Zhao; Yajuan Tang; Xiapu Luo; Xiaobo Ma (VTC Spring, 2021)

A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification. - Kaifa Zhao; Le Yu 002; Shiyao Zhou; Jing Li 049; Xiapu Luo; Aemon Yat Fei Chiu; Yutong Liu (EMNLP, 2022)

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren 001; Kai Zhou 001 (ICDE, 2022)

SAID: State-aware Defense Against Injection Attacks on In-vehicle Network. - Lei Xue 001; Yangyang Liu; Tianqi Li; Kaifa Zhao; Jianfeng Li 006; Le Yu 002; Xiapu Luo; Yajin Zhou; Guofei Gu (USENIX Security Symposium, 2022)

Towards Automatically Reverse Engineering Vehicle Diagnostic Protocols. - Le Yu 002; Yangyang Liu; Pengfei Jing; Xiapu Luo; Lei Xue 001; Kaifa Zhao; Yajin Zhou; Ting Wang 006; Guofei Gu; Sen Nie; Shi Wu (USENIX Security Symposium, 2022)

Demystifying Privacy and Security Issues in Potentially Harmful Mobile Applications. - Kaifa Zhao (ICDCS, 2023)

Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps. - Kaifa Zhao; Xian Zhan; Le Yu 002; Shiyao Zhou; Hao Zhou 009; Xiapu Luo; Haoyu Wang 001; Yepang Liu 001 (ICSE, 2023)

CydiOS: A Model-Based Testing Framework for iOS Apps. - Shuohan Wu; Jianfeng Li 006; Hao Zhou 009; Yongsheng Fang; Kaifa Zhao; Haoyu Wang 001; Chenxiong Qian; Xiapu Luo (ISSTA, 2023)

A method of designing the frequency-phase modulated waveform. - Zhongjie Liao; Hu Song; Kaifa Zhao; Yu Tao; Xinhai Wang (FAIML, 2024)

Exposing the Achilles' Heel: Black-box Reverse Engineering of Commercial LLM Plugins' Hidden Prompts. - Wenying Wei; Kaifa Zhao; Hao Zhou 009 (SIGSOFT FSE Companion, 2025)

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering. - Jialiang Chen; Kaifa Zhao; Jie Liu 001; Chao Peng 002; Jierui Liu; Hang Zhu; Pengfei Gao; Ping Yang; Shuiguang Deng (CoRR, 2025)

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jun Wu 001; Jian Ren 001; Kai Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation. - Yangyang Liu; Lei Xue 001; Sishan Wang; Xiapu Luo; Kaifa Zhao; Pengfei Jing; Xiaobo Ma; Yajuan Tang; Haiying Zhou (IEEE Trans. Intell. Transp. Syst., 2025)