Optimal Privacy-Preserving Data Collection: A Prospect Theory Perspective. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (GLOBECOM, 2017)

Social-Aware Privacy-Preserving Correlated Data Collection. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (MobiHoc, 2018)

Privacy Policy in Online Social Network with Targeted Advertising Business. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (INFOCOM, 2020)

Prospect Theoretic Analysis of Privacy-Preserving Mechanism. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2020)

Social-Aware Privacy-Preserving Mechanism for Correlated Data. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2020)

A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning. - Peng Sun 003; Xu Chen 004; Guocheng Liao; Jianwei Huang 001 (INFOCOM, 2022)

Edge intelligence in motion: Mobility-aware dynamic DNN inference service migration with downtime in mobile edge computing. - Pu Wang; Tao Ouyang; Guocheng Liao; Jie Gong; Shuai Yu 001; Xu Chen 004 (J. Syst. Archit., 2022)

Privacy-Aware Online Social Networking With Targeted Advertisement. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2022)

Privacy Protection Under Incomplete Social and Data Correlation Information. - Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2023)

Adaptive Privacy Budget Allocation in Federated Learning: A Multi-Agent Reinforcement Learning Approach. - Zejian Chen; Guocheng Liao; Qian Ma 002; Xu Chen 004 (ICC, 2024)

NBS-Based Mobile Edge Computing: A Joint Optimization of QoS and Energy in Computation Offloading. - Zhihao Peng 008; Guocheng Liao (NPC (2), 2024)

Age-minimal Multicast by Graph Attention Reinforcement Learning. - Yanning Zhang; Guocheng Liao; Shengbin Cao; Ning Yang 005; Meng Zhang 013 (CoRR, 2024)

The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. - Guocheng Liao; Yu Su 013; Juba Ziani; Adam Wierman; Jianwei Huang 001 (Math. Oper. Res., 2024)

Differentially Private Auction Design for Federated Learning With non-IID Data. - Kean Ren; Guocheng Liao; Qian Ma 002; Xu Chen 004 (IEEE Trans. Serv. Comput., 2024)

Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks. - Jingyi Li; Guocheng Liao; Lin Chen 002; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

A Socially Optimal Data Marketplace With Differentially Private Federated Learning. - Peng Sun 003; Guocheng Liao; Xu Chen 004; Jianwei Huang 001 (IEEE/ACM Trans. Netw., 2024)

Game Analysis and Incentive Mechanism Design for Differentially Private Cross-Silo Federated Learning. - Wuxing Mao; Qian Ma 002; Guocheng Liao; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing. - Rui Li 062; Tao Ouyang; Liekang Zeng; Guocheng Liao; Zhi Zhou 006; Xu Chen 004 (IEEE/ACM Trans. Netw., 2024)

Optimal Mechanism Design for Heterogeneous Client Sampling in Federated Learning. - Guocheng Liao; Bing Luo; Yutong Feng; Meng Zhang 013; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

SCAMA: A Smart-Contract-Driven Asynchronous Model Aggregation Framework for Decentralized Federated Learning. - Mingzhi Mao; Xiangyuan Zhu; Jianguo Chen 001; Longxin Zhang; Guocheng Liao; Zulong Diao (HPSC, 2025)

Participation-Dependent Privacy Preservation in Cross-Silo Federated Learning. - Yanling Qin; Xiangping Zheng; Qian Ma 002; Guocheng Liao; Xu Chen 004 (IEEE Trans. Serv. Comput., 2025)