Research on E-HUB-Based Manufacturing Resources Integration for SMEs. - Bin Wang 077; Defang Liu; Ning Zhou; Linzhen Zhou (ISCSCT (2), 2008)

Research on ASP-Based Information Security System. - Linzhen Zhou; Defang Liu; Bin Wang 077 (ISCSCT (2), 2008)

Research on knowledge-based dirt separator automatic design system. - Bin Wang 077; Defang Liu; Linzhen Zhou (ROBIO, 2008)

Biological Swarm Intelligence Based Opportunistic Resource Allocation for Wireless Ad Hoc Networks. - Defang Liu; Bochu Wang (Wirel. Pers. Commun., 2012)

Stability analysis of a novel epidemics model with vaccination and nonlinear infectious rate. - Defang Liu; Bochu Wang; Songtao Guo (Appl. Math. Comput., 2013)

Spectral Partitioning and Fuzzy C-Means Based Clustering Algorithm for Wireless Sensor Networks. - Jianji Hu; Songtao Guo; Defang Liu; Yuanyuan Yang 001 (WASA, 2017)

Construction and Resource Allocation of Cost-Efficient Clustered Virtual Network in Software Defined Networks. - Bo Li; Songtao Guo; Yan Wu; Defang Liu (J. Grid Comput., 2017)

Distributed data aggregation algorithm based on lifting wavelet compression in wireless sensor networks. - Defang Liu; Songtao Guo; Ledan Cheng; Ying Wang 015 (Int. J. Sens. Networks, 2018)

Relay Cooperation and Outage Analysis in Cognitive Radio Networks With Energy Harvesting. - Jing He 011; Songtao Guo; Gaofeng Pan; Yuanyuan Yang 001; Defang Liu (IEEE Syst. J., 2018)

RE-FPR: flow preemption routing scheme with redundancy elimination in Software Defined Data Center Networks. - Lin Zhang; Songtao Guo; Yuanyuan Yang 001; Defang Liu; Rong Liu (Sustain. Comput. Informatics Syst., 2018)

History based multi-node collaborative localisation in mobile wireless ad hoc networks. - Defang Liu; Songtao Guo; Wenyuan Chen; Fei Wang 024 (Int. J. Ad Hoc Ubiquitous Comput., 2019)

Energy-efficient user selection and resource allocation in mobile edge computing. - Hao Feng; Songtao Guo; Anqi Zhu; Quyuan Wang; Defang Liu (Ad Hoc Networks, 2020)

Joint task offloading and data caching in mobile edge computing networks. - Ni Zhang; Songtao Guo; Yifan Dong; Defang Liu (Comput. Networks, 2020)

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 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)

Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing. - Dewen Qiao; Songtao Guo; Defang Liu; Saiqin Long; Pengzhan Zhou; Zhetao Li (IEEE Trans. Parallel Distributed Syst., 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)

Mean-Field Game Theory Based Optimal Caching Control in Mobile Edge Computing. - Hao Feng; Songtao Guo; Defang Liu; Yuanyuan Yang 001 (IEEE Trans. Mob. Comput., 2023)

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)

ConViTML: A Convolutional Vision Transformer-Based Meta-Learning Framework for Real-Time Edge Network Traffic Classification. - Lu Yang 012; Songtao Guo; Defang Liu; Yue Zeng 002; Xianlong Jiao; Yuhao Zhou (IEEE Trans. Netw. Serv. Manag., 2024)

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)

Global landslide mapping using tibetan plateau landslide dataset and improved YOLOX. - Defang Liu; Mingjie He; Ben Huang; Qi Dong; Shiqi Liu (Earth Sci. Informatics, 2025)