QoE-driven peer discovery for D2D video communication. - Yili Jiang; Xin Wei 001; Aiqing Zhang; Jingwu Cui; Baoyu Zheng (ICCE-TW, 2016)

An Optimization Framework for Privacy-preserving Access Control in Cloud-Fog Computing Systems. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Liang Zhou 002 (VTC Fall, 2020)

Cooperative Task Allocation in Edge Computing Assisted Vehicular Crowdsensing. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Rose Qingyang Hu (GLOBECOM, 2021)

Efficient and Privacy-preserving Distributed Learning in Cloud-Edge Computing Systems. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Rose Qingyang Hu (WiseML@WiSec, 2021)

Reinforcement-Learning-Based Query Optimization in Differentially Private IoT Data Publishing. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Liang Zhou 002 (IEEE Internet Things J., 2021)

Preserving Location Privacy and Accurate Task Allocation in Edge-assisted Mobile Crowdsensing. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Rose Qingyang Hu (WCNC, 2022)

Privacy-preserving data deduplication in edge-assisted mobile crowdsensing. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Rose Qingyang Hu (Int. J. Multim. Intell. Secur., 2022)

Anonymous and Efficient Authentication Scheme for Privacy-Preserving Distributed Learning. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Liang Zhou 002 (IEEE Trans. Inf. Forensics Secur., 2022)

Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks. - Sohan Gyawali; Kamran Sartipi; Benjamin Van Ravesteyn; Jiaqi Huang; Yili Jiang (MILCOM, 2023)

P2AE: Preserving Privacy, Accuracy, and Efficiency in Location-Dependent Mobile Crowdsensing. - Yili Jiang; Kuan Zhang 001; Yi Qian 001; Liang Zhou 002 (IEEE Trans. Mob. Comput., 2023)

Poster: Machine Learning Based False Position Detection Using Data-to-Image Transformation. - Xian Chen; Yili Jiang; Jiaqi Huan; Sohan Gyawali (MOST, 2024)

Leveraging Explainable AI for Actionable Insights in IoT Intrusion Detection. - Sohan Gyawali; Jiaqi Huang; Yili Jiang (SOSE, 2024)

Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks. - Jiaqi Huang; Yili Jiang; Sohan Gyawali; Zhiguo Zhou; Fangtian Zhong (VTC Fall, 2024)

Enhancing Malware Classification via Self-Similarity Techniques. - Fangtian Zhong; Qin Hu 001; Yili Jiang; Jiaqi Huang; Cheng Zhang 018; Dinghao Wu (IEEE Trans. Inf. Forensics Secur., 2024)

Full Speed Ahead: A Novel Selective Approach to Speed up Feature Extraction in Decentralized Federated Learning. - Haoran Pei; Xian Chen; Yili Jiang; Feng Wang 001; Linan Huang (ACM Southeast Regional Conference, 2025)

In-Progress: Augmenting Explainable AI with LLMs to Enhance User Trust in Intelligent Transportation Systems. - Sohan Gyawali; Yili Jiang; Jiaqi Huang (SP (Workshops), 2025)

Unveiling Malware Patterns: A Self-analysis Perspective. - Fangtian Zhong; Qin Hu 001; Yili Jiang; Jiaqi Huang; Xiuzhen Cheng 001 (CoRR, 2025)

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems. - Ziyang Wei; Yili Jiang; Jiaqi Huang; Fangtian Zhong; Sohan Gyawali (CoRR, 2025)

Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey. - Zhuoyun Qian; Fangtian Zhong; Qin Hu 001; Yili Jiang; Jiaqi Huang; Mengfei Ren 001; Jiguo Yu (CoRR, 2025)