A Privacy-Preserving Online Ride-Hailing System Without Involving a Third Trusted Server. - Hongcheng Xie; Yu Guo 003; Xiaohua Jia (IEEE Trans. Inf. Forensics Secur., 2021)

Intertrust: establishing inter-zone trust relationships. - Tianyuan Yu; Xinyu Ma; Hongcheng Xie; Yekta Kocaogullar; Lixia Zhang 001 (ICN, 2022)

CertRevoke: a certificate revocation framework for named data networking. - Tianyuan Yu; Hongcheng Xie; Siqi Liu; Xinyu Ma; Xiaohua Jia; Lixia Zhang 001 (ICN, 2022)

Privacy-Preserving Online Ride-Hailing Matching System with an Untrusted Server. - Hongcheng Xie; Zizhuo Chen; Yu Guo 003; Qin Liu 003; Xiaohua Jia (NSS, 2022)

Privacy-Preserving Location-Based Data Queries in Fog-Enhanced Sensor Networks. - Hongcheng Xie; Yu Guo 003; Xiaohua Jia (IEEE Internet Things J., 2022)

A Machine Learning Enabled Mobile Application to Analyse Ambient-Body Correlations. - Hongcheng Xie; Saeid Pourroostaei Ardakani (SN Comput. Sci., 2022)

Enabling Privacy-Preserving Geographic Range Query in Fog-Enhanced IoT Services. - Yu Guo 003; Hongcheng Xie; Cong Wang 001; Xiaohua Jia (IEEE Trans. Dependable Secur. Comput., 2022)

FedCrowd: A Federated and Privacy-Preserving Crowdsourcing Platform on Blockchain. - Yu Guo 003; Hongcheng Xie; Yinbin Miao; Cong Wang 001; Xiaohua Jia (IEEE Trans. Serv. Comput., 2022)

A New API in Support of NDN Trust Schema. - Tianyuan Yu; Xinyu Ma; Hongcheng Xie; Yekta Kocaogullar; Lixia Zhang 001 (ICN, 2023)

Cornerstone: Automating Remote NDN Entity Bootstrapping. - Tianyuan Yu; Xinyu Ma; Hongcheng Xie; Dirk Kutscher; Lixia Zhang 001 (AINTEC, 2023)

CLedger: A Secure Distributed Certificate Ledger via Named Data. - Tianyuan Yu; Hongcheng Xie; Siqi Liu; Xinyu Ma; Varun Patil; Xiaohua Jia; Lixia Zhang 001 (ICC, 2023)

FedIR: Learning Invariant Representations from Heterogeneous Data in Federated Learning. - Xi Zheng; Hongcheng Xie; Yu Guo 003; Rongfang Bie (MSN, 2023)

On the Security Bootstrapping in Named Data Networking. - Tianyuan Yu; Xinyu Ma; Hongcheng Xie; Xiaohua Jia; Lixia Zhang 001 (CoRR, 2023)

Privacy-Preserving Multi-Range Queries for Secure Data Outsourcing Services. - Yu Guo 003; Hongcheng Xie; Mingyue Wang; Xiaohua Jia (IEEE Trans. Cloud Comput., 2023)

Privacy-Preserving and Efficient Model Aggregation in Edge-Assisted Federated Learning. - Shuyang Wang; Hongcheng Xie; Yu Guo 003; Fangda Guo; Fangming Jing; Rongfang Bie (DASFAA (1), 2024)

Mitigating Backdoor Attacks in Pre-Trained Encoders via Self-Supervised Knowledge Distillation. - Rongfang Bie; Jinxiu Jiang; Hongcheng Xie; Yu Guo 003; Yinbin Miao; Xiaohua Jia (IEEE Trans. Serv. Comput., 2024)

Securing IOTA Blockchain Against Tangle Vulnerability by Using Large Deviation Theory. - Yinfeng Chen; Yu Guo 003; Mingyue Wang; Enliang Xu; Hongcheng Xie; Rongfang Bie (IEEE Internet Things J., 2024)

Access-Pattern Hiding Search Over Encrypted Databases by Using Distributed Point Functions. - Hongcheng Xie; Yu Guo 003; Yinbin Miao; Xiaohua Jia (IEEE Trans. Computers, 2025)