When Mobile Crowdsensing Meets Privacy. - Zhibo Wang 001; Xiaoyi Pang; Jiahui Hu; Wenxin Liu; Qian Wang 002; Yanjun Li 004; Honglong Chen (IEEE Commun. Mag., 2019)

Privacy-Preserving Crowd-Sourced Statistical Data Publishing with An Untrusted Server. - Zhibo Wang 001; Xiaoyi Pang; Yahong Chen; Huajie Shao; Qian Wang 002; Libing Wu; Honglong Chen; Hairong Qi 001 (IEEE Trans. Mob. Comput., 2019)

Towards Pattern-aware Privacy-preserving Real-time Data Collection. - Zhibo Wang 001; Wenxin Liu; Xiaoyi Pang; Ju Ren 001; Zhe Liu 001; Yongle Chen (INFOCOM, 2020)

Towards fair and efficient task allocation in blockchain-based crowdsourcing. - Xiaoyi Pang; Dengfeng Guo; Zhibo Wang 001; Peng Sun 003; Liqiang Zhang (CCF Trans. Netw., 2020)

Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing. - Xiaoyi Pang; Zhibo Wang 001; Jingxin Li; Ruiting Zhou; Ju Ren 001; Zhetao Li (INFOCOM, 2022)

Privacy-preserving task allocation for edge computing-based mobile crowdsensing. - Xuyang Ding; Ruizhao Lv; Xiaoyi Pang; Jiahui Hu; Zhibo Wang 001; Xu Yang; Xiong Li 002 (Comput. Electr. Eng., 2022)

A Survey on IoT-Enabled Home Automation Systems: Attacks and Defenses. - Zhibo Wang 001; Defang Liu; Yunan Sun; Xiaoyi Pang; Peng Sun 003; Feng Lin 004; John C. S. Lui; Kui Ren 001 (IEEE Commun. Surv. Tutorials, 2022)

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems. - Peng Sun 003; Zhibo Wang 001; Liantao Wu; Yunhe Feng; Xiaoyi Pang; Hairong Qi 001; Zhi Wang 003 (IEEE Trans. Mob. Comput., 2022)

Privacy-Preserving Streaming Truth Discovery in Crowdsourcing With Differential Privacy. - Dan Wang; Ju Ren 001; Zhibo Wang 001; Xiaoyi Pang; Yaoxue Zhang; Xuemin Shen (IEEE Trans. Mob. Comput., 2022)

Towards Personalized Privacy-Preserving Truth Discovery Over Crowdsourced Data Streams. - Xiaoyi Pang; Zhibo Wang 001; Defang Liu; John C. S. Lui; Qian Wang 002; Ju Ren 001 (IEEE/ACM Trans. Netw., 2022)

Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments. - Defang Liu; Zhibo Wang 001; Xiaoyi Pang; Yunan Sun; Jiahui Hu; Peng Sun 003; Yuke Hu (BIGCOM, 2023)

Towards Fairness-aware Adversarial Network Pruning. - Lei Zhang 006; Zhibo Wang 001; Xiaowei Dong; Yunhe Feng; Xiaoyi Pang; Zhifei Zhang; Kui Ren 001 (ICCV, 2023)

Towards Class-Balanced Privacy Preserving Heterogeneous Model Aggregation. - Xiaoyi Pang; Zhibo Wang 001; Zeqing He; Peng Sun 003; Meng Luo 002; Ju Ren 001; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning. - Zhibo Wang 001; Zhiwei Chang; Jiahui Hu; Xiaoyi Pang; Jiacheng Du; Yongle Chen; Kui Ren 001 (INFOCOM, 2024)

Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments. - Yajie Zhou; Xiaoyi Pang; Zhibo Wang 001; Jiahui Hu; Peng Sun 003; Kui Ren 001 (INFOCOM, 2024)

Location Privacy-Aware Task Offloading in Mobile Edge Computing. - Zhibo Wang 001; Yunan Sun; Defang Liu; Jiahui Hu; Xiaoyi Pang; Yuke Hu; Kui Ren 001 (IEEE Trans. Mob. Comput., 2024)

Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning. - Jiahui Hu; Zhibo Wang 001; Yongsheng Shen; Bohan Lin; Peng Sun 003; Xiaoyi Pang; Jian Liu 012; Kui Ren 001 (IEEE/ACM Trans. Netw., 2024)

Location and Bid Privacy Preserving-Based Quality-Aware Worker Recruitment Scheme in MCS. - Weifan Shi; Qingyong Deng; Zhetao Li; Saiqin Long; Haolin Liu; Xiaoyi Pang (IEEE Internet Things J., 2024)

When Federated Learning Meets Knowledge Distillation. - Xiaoyi Pang; Jiahui Hu; Peng Sun 003; Ju Ren 001; Zhibo Wang 001 (IEEE Wirel. Commun., 2024)

Does Differential Privacy Really Protect Federated Learning From Gradient Leakage Attacks? - Jiahui Hu; Jiacheng Du; Zhibo Wang 001; Xiaoyi Pang; Yajie Zhou; Peng Sun 003; Kui Ren 001 (IEEE Trans. Mob. Comput., 2024)

Is Your Image a Good Storyteller? - Xiujie Song; Xiaoyi Pang; Haifeng Tang; Mengyue Wu; Kenny Q. Zhu (AAAI, 2025)

Poisoning Attacks to Knowledge Distillation-Based Federated Learning Under Robust Aggregation Rules. - Xiaoyi Pang; Zhibo Wang 001; Defang Liu; Jiahui Hu; Peng Sun 003; Meng Luo 002; Kui Ren 001 (IEEE Trans. Inf. Forensics Secur., 2025)

U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation. - Yahong Chen; Xiaoyi Pang; Xiaoguang Li; Hanyi Wang; Ben Niu 001; Shengnan Hu (Proc. ACM Manag. Data, 2025)

Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation. - Shuaifan Jin; Xiaoyi Pang; Zhibo Wang 001; He Wang 005; Jiacheng Du; Jiahui Hu; Kui Ren 001 (CoRR, 2025)

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption. - Yajie Zhou; Xiaoyi Pang; Zhibo Wang 001 (CoRR, 2025)

Federated Large Language Model: Solutions, Challenges and Future Directions. - Jiahui Hu; Dan Wang; Zhibo Wang 001; Xiaoyi Pang; Huiyu Xu; Ju Ren 001; Kui Ren 001 (IEEE Wirel. Commun., 2025)

An Incentive Framework for Task Offloading in Edge Computing Marketplaces Under Price Competition. - Liantao Wu; Peng Sun 003; Zhibo Wang 001; Xiaoyi Pang; Jiahui Hu; Honglong Chen; Yang Yang 001 (IEEE Trans. Mob. Comput., 2025)