Research
His research primarily focuses on software security, program analysis, ,machine learning for cybersecurity. He has published two ESI 1% highly cited papers. He enjoys developing novel ,beautiful solutions to software security issues in different architectures, especially native codes without a source.
Selected Publications See Full
Zhuoyun Qian, Hongyi Miao, Yili Jiang, Qin Hu, Jiaqi Huang, Fangtian Zhong. (2025) Evaluating Diverse Feature Extraction Techniques of Multifaceted IoT Malware Analysis: A Survey, IEEE Internet of Things Journal (In Submission)
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Wen Zhang, Yutong Zhao. (2025) Obfuscation-Aware Malware Representation Learning, ACSAC 2025 (In Submission)
Fangtian Zhong, Yili Jiang, Qin Hu, Jiaqi Huang. (2025) Provable Verification in Semantic Bug Identification, USENIX Security Symposium (In Submission)
Jiaqi Huang, Jingze Da, Yili Jiang, Sohan Gyawali, Fangtian Zhong (2025) Misbehavior Detection in Vehicular Networks with Batch Message Verification, IEEE Internet of Things Journal(Major Revision)
Fangtian Zhong, Micheal Crapse, Yili Jiang, Qin Hu, Jiaqi Huang. (2025) What you see may not be true: Deep Bug Detection in Assemly, IEEE Transactions on Information Forensics and Security (In Submission)
Xian Chen, Yili Jiang, Jiaqi Huang, Sohan Gyawali, Fangtian Zhong. (2025) BatchMDS: A Time-efficient Misbehavior Detection System in Internet of Vehicles, IEEE Internet of Things Journal,
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Xiuzhen Cheng. (2025) Unveiling Malware Visual Patterns: A Self-analysis Perspective, IEEE Transactions on Information Forensics and Security,
Fangtian Zhong, Qin Hu, Xiuzhen Cheng. (2024) Helping Jeremy to Analyze Malware: A Usability-Optimized Malware Analysis, The ACM Conference on Computer and Communications Security,
Zhuoyun Qian, Fangtian Zhong✉, Qin Hu, Yili Jiang, Jiaqi Huang, Mengfei Ren, Jiguo Yu. (2024) Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey, ACM Computing Surveys (In Submission),
Jianan Chen, Qin Hu, Fangtian Zhong, Yan Zhuang, Minghui Xu. (2024) Upcycling Noise for Federated Unlearning, IEEE Transactions on Mobile Computing (In Submission)
Sabrina Perry, Yili Jiang, Fangtian Zhong, Jiaqi Huang, Sohan Gyawali. (2024) Improving Detection Accuracy of Data Poisoning Attacks, IEEE Cyber Awareness and Research Symposium, Best Paper Award
Jiaqi Huang, Yili Jiang, Zhiguo Zhou, Fangtian Zhong (2024) Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks, IEEE Conference on Vehicular Technology
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Dinghao Wu (2024) Enhancing Malware Classification via Self-Similarity Techniques, IEEE Transactions on Information Forensics and Security
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu✉. (2023). MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. IEEE Transactions on Computers
Fangtian Zhong, Pengfei Hu✉, Guoming Zhang, Hong Li, Xiuzhen Cheng. (2022). Reinforcement learning based adversarial malware example generation against black-box detectors. Computers & Security,
Jiguo Yu, Suhui Liu✉, Minghui Xu, Hechuan Guo, Fangtian Zhong, Wei Cheng(2022). An Efficient Revocable ,Searchable MA-ABE Scheme with Blockchain assistance for C-IoT. IEEE Internet of Things Journal,
Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng✉. (2022) Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification. IEEE Transactions on Computers,
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng✉. (2021) DCAP: Deep Cross Attentional Product Network for User Response Prediction. Proceedings of the 30th ACM International Conference on Information ,Knowledge Management (CIKM 21),
Yizhen Jia, Fangtian Zhong✉, Arwa Alrawais, Bei Gong, Xiuzhen Cheng. (2020). Flowguard: An intelligent edge defense mechanism against IoT DDoS attacks. IEEE Internet of Things Journal,