Multi-keyword ranked search supporting synonym query over encrypted data in cloud computing. - Zhangjie Fu; Xingming Sun; Zhihua Xia; Lu Zhou; Jiangang Shu (IPCCC, 2013)

New Forensic Methods for OOXML Format Documents. - Zhangjie Fu; Xingming Sun; Lu Zhou; Jiangang Shu (IWDW, 2013)

Semantic keyword search based on trie over encrypted cloud data. - Zhangjie Fu; Jiangang Shu; Xingming Sun; Daxing Zhang (SCC@ASIACCS, 2014)

A Similarity Search Method for Encrypted Cloud Document. - Zhangjie Fu; Jiangang Shu; Jin Wang; Xingming Sun (IIH-MSP, 2014)

An Effective Search Scheme Based on Semantic Tree Over Encrypted Cloud Data Supporting Verifiability. - Zhangjie Fu; Jiangang Shu; Xingming Sun (SecureComm (1), 2014)

Smart cloud search services: verifiable keyword-based semantic search over encrypted cloud data. - Zhangjie Fu; Jiangang Shu; Xingming Sun; Nigel Linge (IEEE Trans. Consumer Electron., 2014)

Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing. - Zhangjie Fu; Xingming Sun; Qi Liu 001; Lu Zhou; Jiangang Shu (IEICE Trans. Commun., 2015)

Secure Task Recommendation in Crowdsourcing. - Jiangang Shu; Xiaohua Jia (GLOBECOM, 2016)

Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement. - Zhangjie Fu; Kui Ren 001; Jiangang Shu; Xingming Sun; Fengxiao Huang (IEEE Trans. Parallel Distributed Syst., 2016)

SybMatch: Sybil Detection for Privacy-Preserving Task Matching in Crowdsourcing. - Jiangang Shu; Ximeng Liu; Kan Yang 001; Yinghui Zhang 002; Xiaohua Jia; Robert H. Deng (GLOBECOM, 2018)

TKSE: Trustworthy Keyword Search Over Encrypted Data With Two-Side Verifiability via Blockchain. - Yinghui Zhang 002; Robert H. Deng; Jiangang Shu; Kan Yang 001; Dong Zheng 001 (IEEE Access, 2018)

Anonymous Privacy-Preserving Task Matching in Crowdsourcing. - Jiangang Shu; Ximeng Liu; Xiaohua Jia; Kan Yang 001; Robert H. Deng (IEEE Internet Things J., 2018)

Dual-side privacy-preserving task matching for spatial crowdsourcing. - Jiangang Shu; Ximeng Liu; Yinghui Zhang 002; Xiaohua Jia; Robert H. Deng (J. Netw. Comput. Appl., 2018)

Privacy-Preserving Data Aggregation against False Data Injection Attacks in Fog Computing. - Yinghui Zhang 002; Jiangfan Zhao; Dong Zheng 001; Kaixin Deng; Fangyuan Ren; Xiaokun Zheng; Jiangang Shu (Sensors, 2018)

SybSub: Privacy-Preserving Expressive Task Subscription With Sybil Detection in Crowdsourcing. - Jiangang Shu; Ximeng Liu; Kan Yang 001; Yinghui Zhang 002; Xiaohua Jia; Robert H. Deng (IEEE Internet Things J., 2019)

Comments on "A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing". - Yinghui Zhang 002; Jiangang Shu; Ximeng Liu; Jin Li 002; Dong Zheng 001 (IEEE Internet Things J., 2019)

lpRide: Lightweight and Privacy-Preserving Ride Matching Over Road Networks in Online Ride Hailing Systems. - Haining Yu; Jiangang Shu; Xiaohua Jia; Hongli Zhang 001; Xiangzhan Yu (IEEE Trans. Veh. Technol., 2019)

Collaborative Anomaly Detection in Distributed SDN. - Lei Zhou; Jiangang Shu; Xiaohua Jia (GLOBECOM, 2020)

Oversampling Algorithm based on Reinforcement Learning in Imbalanced Problems. - Ying Zhou; Jiangang Shu; Xiaoxiong Zhong; Xingsen Huang; Chenguang Luo; Jianwen Ai (GLOBECOM, 2020)

HFL-DP: Hierarchical Federated Learning with Differential Privacy. - Lu Shi; Jiangang Shu; Weizhe Zhang; Yang Liu 039 (GLOBECOM, 2021)

A Blockchain-based Database System for Decentralized Information Management. - Dekai Yan; Xiaohua Jia; Jiangang Shu; Rutao Yu (GLOBECOM, 2021)

CoWatch: Collaborative Prediction of DDoS Attacks in Edge Computing with Distributed SDN. - Hongliang Zhou; Xiaohua Jia; Jiangang Shu; Lei Zhou (GLOBECOM, 2021)

Clustered Federated Multi-Task Learning with Non-IID Data. - Yao Xiao; Jiangang Shu; Xiaohua Jia; Hejiao Huang (ICPADS, 2021)

ReDetect: Reentrancy Vulnerability Detection in Smart Contracts with High Accuracy. - Rutao Yu; Jiangang Shu; Dekai Yan; Xiaohua Jia (MSN, 2021)

Proxy-Free Privacy-Preserving Task Matching with Efficient Revocation in Crowdsourcing. - Jiangang Shu; Kan Yang 001; Xiaohua Jia; Ximeng Liu; Cong Wang 001; Robert H. Deng (IEEE Trans. Dependable Secur. Comput., 2021)

PSRide: Privacy-Preserving Shared Ride Matching for Online Ride Hailing Systems. - Haining Yu; Xiaohua Jia; Hongli Zhang 001; Xiangzhan Yu; Jiangang Shu (IEEE Trans. Dependable Secur. Comput., 2021)

Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach. - Jiangang Shu; Lei Zhou; Weizhe Zhang; Xiaojiang Du; Mohsen Guizani (IEEE Trans. Intell. Transp. Syst., 2021)

Privacy-Preserving Task Recommendation Services for Crowdsourcing. - Jiangang Shu; Xiaohua Jia; Kan Yang 001; Hua Wang 002 (IEEE Trans. Serv. Comput., 2021)

Optimized Client-side Detection of Model Poisoning Attacks in Federated learning. - Guoxi Zhang; Jiangang Shu; Xiaohua Jia (HPCC/DSS/SmartCity/DependSys, 2022)

SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference. - Xinying Liao; Jiaye Xue; Shengxing Yu; Ximeng Liu; Jiangang Shu (ICASSP, 2022)

Breaking Distributed Backdoor Defenses for Federated Learning in Non-IID Settings. - Jijia Yang; Jiangang Shu; Xiaohua Jia (MSN, 2022)

Blockchain-Based Decentralized Public Auditing for Cloud Storage. - Jiangang Shu; Xing Zou; Xiaohua Jia; Weizhe Zhang; Ruitao Xie (IEEE Trans. Cloud Comput., 2022)

Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. - Jiangang Shu; Songlei Wang; Xiaohua Jia; Weizhe Zhang; Ruitao Xie; Hejiao Huang (IEEE Trans. Intell. Transp. Syst., 2022)

FLAS: Computation and Communication Efficient Federated Learning via Adaptive Sampling. - Jiangang Shu; Weizhe Zhang; Ying Zhou; Zhengtao Cheng; Laurence T. Yang (IEEE Trans. Netw. Sci. Eng., 2022)

Efficient and Privacy-Preserving Ride Matching Using Exact Road Distance in Online Ride Hailing Services. - Haining Yu; Xiaohua Jia; Hongli Zhang 001; Jiangang Shu (IEEE Trans. Serv. Comput., 2022)

Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-Based Systems. - Kan Yang 001; Jiangang Shu; Ruitao Xie (IEEE Trans. Inf. Forensics Secur., 2023)

Clustered Federated Multitask Learning on Non-IID Data With Enhanced Privacy. - Jiangang Shu; Tingting Yang; Xinying Liao; Farong Chen; Yao Xiao; Kan Yang 001; Xiaohua Jia (IEEE Internet Things J., 2023)

Collaborative prediction and detection of DDoS attacks in edge computing: A deep learning-based approach with distributed SDN. - Hongliang Zhou; Yifeng Zheng; Xiaohua Jia; Jiangang Shu (Comput. Networks, 2023)

Toward Robust Hierarchical Federated Learning in Internet of Vehicles. - Hongliang Zhou; Yifeng Zheng; Hejiao Huang; Jiangang Shu; Xiaohua Jia (IEEE Trans. Intell. Transp. Syst., 2023)

Convergent Grey Wolf Optimizer Metaheuristics for Scheduling Crowdsourcing Applications in Mobile Edge Computing. - Zhichao Lian; Jiangang Shu; Yi Zhang 025; Jin Sun 001 (IEEE Internet Things J., 2024)

Geo-Perturbation for Task Allocation in 3-D Mobile Crowdsourcing: An A3C-Based Approach. - Minghui Min; Haopeng Zhu; Shuang Yang; Junhuai Xu; Jingwen Tong; Shiyin Li; Jiangang Shu (IEEE Internet Things J., 2024)