EasiSim: A Scalable Simulator for Wireless Sensor Networks. - Haiming Chen 002; Li Cui; Changcheng Huang; He Zhu 002 (Wirel. Sens. Netw., 2009)

DLING: A Distributed Mobile Sink Guiding Scheme for Sensor Networks. - He Zhu 002; Dong Li 008; Li Cui (ICC, 2010)

The design and implementation of a surveillance and self-driven cleanup system for blue-green algae blooms on Lake Tai. - Dong Li 008; Ze Zhao; Li Cui; He Zhu 002; Le Zhang; Zhaoliang Zhang; Yi Wang; Haiming Chen 002 (MASS, 2010)

OPEN: An optimisation scheme of N-node coverage in wireless sensor networks. - Le Zhang; Dong Li 008; He Zhu 002; Li Cui (IET Wirel. Sens. Syst., 2012)

Vulnerability evaluation for securely offloading mobile apps in the cloud. - He Zhu 002; Changcheng Huang; James Yan (CloudNet, 2013)

Availability-Aware Mobile Edge Application Placement in 5G Networks. - He Zhu 002; Changcheng Huang (GLOBECOM, 2017)

VNF-B&B: Enabling edge-based NFV with CPE resource sharing. - He Zhu 002; Changcheng Huang (PIMRC, 2017)

Cost-Efficient VNF Placement Strategy for IoT Networks with Availability Assurance. - He Zhu 002; Changcheng Huang (VTC Fall, 2017)

EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement. - He Zhu 002; Changcheng Huang; Jiayu Zhou (NetSoft, 2018)

EdgePlace: Availability-aware placement for chained mobile edge applications. - He Zhu 002; Changcheng Huang (Trans. Emerg. Telecommun. Technol., 2018)

IoT-B&B: Edge-Based NFV for IoT Devices with CPE Crowdsourcing. - He Zhu 002; Changcheng Huang (Wirel. Commun. Mob. Comput., 2018)

Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading. - Khoa Nguyen 001; Steve Drew 001; Changcheng Huang; Jiayu Zhou (CloudNet, 2020)

EdgePV: Collaborative Edge Computing Framework for Task Offloading. - Khoa Nguyen 001; Steve Drew 001; Changcheng Huang; Jiayu Zhou (ICC, 2021)

Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. - Zhuangdi Zhu; Junyuan Hong; Steve Drew 001; Jiayu Zhou (ICML, 2022)

Parked Vehicles Task Offloading in Edge Computing. - Khoa Nguyen 001; Steve Drew 001; Changcheng Huang; Jiayu Zhou (IEEE Access, 2022)

USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. - Yuanzhuo Xu; Xiaoguang Niu; Jie Yang 002; Steve Drew 001; Jiayu Zhou; Ruizhi Chen (AAAI, 2023)

Federated Learning with Client Availability Budgets. - Yunkai Bao; Steve Drew 001; Xin Wang; Jiayu Zhou; Xiaoguang Niu (GLOBECOM, 2023)

FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks. - Jiajun Wu 017; Steve Drew 001; Jiayu Zhou (ICC, 2023)

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. - Jiajun Wu 017; Steve Drew 001; Fan Dong; Zhuangdi Zhu; Jiayu Zhou (CoRR, 2023)

WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity. - Fan Dong; Ali Abbasi; Steve Drew 001; Henry Leung; Xin Wang; Jiayu Zhou (CoRR, 2023)

Enhancing Equitable Access to AI in Housing and Homelessness System of Care through Federated Learning. - Musa Taib; Jiajun Wu 017; Steve Drew 001; Geoffrey G. Messier (AIES (1), 2024)

Energy-efficient Federated Learning with Dynamic Model Size Allocation. - M. S. Chaitanya Kumar; Sai Satya Narayana J; Yunkai Bao; Xin Wang; Steve Drew 001 (IEEE Big Data, 2024)

FedGreen: Carbon-Aware Federated Learning with Model Size Adaptation. - Ali Abbasi; Fan Dong; Xin Wang; Henry Leung; Jiayu Zhou; Steve Drew 001 (ICC Workshops, 2024)

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks. - Fan Dong; Ali Abbasi; Henry Leung; Xin Wang; Jiayu Zhou; Steve Drew 001 (ICC Workshops, 2024)

Label-Expanded Feature Debiasing for Single Domain Generalization. - Jie Yang 002; Liwei Jing; Yuanzhuo Xu; Shaowu Wu; Steve Drew 001; Xiaoguang Niu (ICPR (4), 2024)

Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks. - Fan Dong; Henry Leung; Steve Drew 001 (WF-IoT, 2024)

Dynamic selection for reconstructing instance-dependent noisy labels. - Jie Yang 002; Xiaoguang Niu; Yuanzhuo Xu; Zejun Zhang 002; Guangyi Guo; Steve Drew 001; Ruizhi Chen (Pattern Recognit., 2024)

UltraMotion: High-Precision Ultrasonic Arm Tracking for Real-World Exercises. - Xiaoguang Niu; Kaiyi Zou; Da Shen; Steve Drew 001; Shaowu Wu; Guangyi Guo; Ruizhi Chen (IEEE Trans. Mob. Comput., 2024)

Efficient Path Planning and Dynamic Obstacle Avoidance in Edge for Safe Navigation of USV. - Di Wang 047; Haiming Chen 002; Sihan Lao; Steve Drew 001 (IEEE Internet Things J., 2024)

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. - Jiajun Wu 017; Fan Dong; Henry Leung; Zhuangdi Zhu; Jiayu Zhou; Steve Drew 001 (ACM Comput. Surv., 2024)

Revisiting Interpolation for Noisy Label Correction. - Yuanzhuo Xu; Xiaoguang Niu; Jie Yang 002; Ruiyi Su; Jian Zhang; Shubo Liu; Steve Drew 001 (AAAI, 2025)

HVAdam: A Full-Dimension Adaptive Optimizer. - Yiheng Zhang; Shaowu Wu; Yuanzhuo Xu; Jiajun Wu 017; Shang Xu; Steve Drew 001; Xiaoguang Niu (AAAI, 2025)

Optimizing federated learning with weighted aggregation in aerial and space networks. - Fan Dong; Henry Leung; He Zhu 002 (J. Netw. Comput. Appl., 2025)