EDDS: An Efficient Data Delivery Scheme for Address-Free Wireless Sensor Networks. - Weiwei Fang; Yi Liu 013; Depei Qian (ICN, 2007)

An On-demand Address Allocation Scheme for Query based Sensor Networks. - Weiwei Fang; Yi Liu 013; Jin Wu; Depei Qian (ISADS, 2007)

Privacy Preserving Decision Tree Learning over Vertically Partitioned Data. - Weiwei Fang; Bingru Yang (CSSE (3), 2008)

A Learning Algorithm of Fuzzy Cognitive Map in Document Classification. - Zhen Peng 001; Bingru Yang; Weiwei Fang (FSKD (1), 2008)

Link-Aware Geographic Routing in Wireless Sensor Networks. - Heng Chen 002; Depei Qian; Weiguo Wu; Weiwei Fang (CSE (2), 2009)

A Compensation-Based Reliable Data Delivery for Instant Wireless Sensor Network. - Yi-Ying Zhang 001; Xi Luo; Laurence Tianruo Yang; Lei Shu 001; Weiwei Fang; Myong-Soon Park (HPCC, 2009)

RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks. - Weiwei Fang; Xin Zhao; Tianshu Chu; Yuan An; Yi Liu 013; Depei Qian (MASS, 2009)

A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU. - Tianshu Chu; Jian Dai; Depei Qian; Weiwei Fang; Yi Liu 013 (ICA3PP (1), 2010)

Preserving Private Knowledge In Decision Tree Learning. - Weiwei Fang; Bingru Yang; Dingli Song (J. Comput., 2010)

Congestion avoidance, detection and alleviation in wireless sensor networks. - Weiwei Fang; Jiming Chen 001; Lei Shu 001; Tianshu Chu; Depei Qian (J. Zhejiang Univ. Sci. C, 2010)

Energy-efficient cooperative communication for data transmission in wireless sensor networks. - Weiwei Fang; Feng Liu; Fangnan Yang; Lei Shu 001; Shojiro Nishio (IEEE Trans. Consumer Electron., 2010)

Metric-based PRT set selection in tone reservation scheme for PAPR reduction in OFDM systmes. - Weiwei Fang; Naiqian Zhang (BMEI, 2012)

Network Element Scheduling for Achieving Energy-Aware Data Center Networks. - Weiwei Fang; Xiangmin Liang; Yantao Sun; Athanasios V. Vasilakos (Int. J. Comput. Commun. Control, 2012)

ERSVC: An Efficient Routing Scheme for Satellite Constellation Adapting Vector Composition. - Jiancheng Li; Yuan An; Baohua Wang; Weiwei Fang (ANT/MobiWIS, 2012)

VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers. - Weiwei Fang; Xiangmin Liang; Shengxin Li; Luca Chiaraviglio; Naixue Xiong (Comput. Networks, 2013)

Privacy preserving linear regression modeling of distributed databases. - Weiwei Fang; Changsheng Zhou; Bingru Yang (Optim. Lett., 2013)

Comment on 'Robust Cooperative Routing Protocol in Mobile Wireless Sensor Networks'. - Weiwei Fang (IEEE Trans. Wirel. Commun., 2013)

Optimising data placement and traffic routing for energy saving in Backbone Networks. - Weiwei Fang; Zishuo Wang; Jaime Lloret 001; Daqiang Zhang 001; Zhijun Yang (Trans. Emerg. Telecommun. Technol., 2014)

On the throughput-energy tradeoff for data transmission between cloud and mobile devices. - Weiwei Fang; Yangchun Li; Huijing Zhang; Naixue Xiong; Junyu Lai; Athanasios V. Vasilakos (Inf. Sci., 2014)

Diamond: An Improved Fat-tree Architecture for Large-scale Data Centers. - Yantao Sun; Jing Cheng; Qiang Liu 014; Weiwei Fang (J. Commun., 2014)

Achieving optimal admission control with dynamic scheduling in energy constrained network systems. - Weiwei Fang; Zhulin An; Lei Shu 001; Qingyu Liu; Yongjun Xu 001; Yuan An (J. Netw. Comput. Appl., 2014)

Software-defined cellular networking: a practical path towards 5G. - Junyu Lai; Lei Jiang 006; Ming Lei 002; Alireza Abdollahpouri; Weiwei Fang (Int. J. Commun. Networks Distributed Syst., 2015)

Optimal scheduling for data transmission between mobile devices and cloud. - Weiwei Fang; Xiaoyan Yin 001; Yuan An; Naixue Xiong; Qiwang Guo; Jing Li (Inf. Sci., 2015)

A Comment on "Power Cost Reduction in Distributed Data Centers: A Two Time Scale Approach for Delay Tolerant Workloads". - Weiwei Fang; Yuan Yao; Longbo Huang; Abhishek B. Sharma; Leana Golubchik; Michael J. Neely (IEEE Trans. Parallel Distributed Syst., 2015)

Optimal scheduling for energy harvesting mobile sensing devices. - Weiwei Fang; Xiaojie Zhao; Yuan An; Jing Li; Zhulin An; Qiang Liu 014 (Comput. Commun., 2016)

基于隐私保护的序列模式挖掘 (Sequential Pattern Mining Based on Privacy Preserving). - Weiwei Fang; Wei Xie; Hongbo Huang; Hongke Xia (计算机科学, 2016)

Clustered multi-dictionary code compression method for portable medical electronic systems. - Ji Tu; Xiangyi Yu; Yangyang Li; Liu Yuan; Meng Li; Weiwei Fang (Healthcom, 2017)

A distributed ADMM approach for energy-efficient resource allocation in mobile edge computing. - Weiwei Fang; Wenchen Zhou; Yangyang Li; Xuening Yao; Feng Xue; Naixue Xiong (Turkish J. Electr. Eng. Comput. Sci., 2018)

A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platforms. - Weiwei Fang; Xuening Yao; Xiaojie Zhao; Jianwei Yin; Naixue Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Android Malware Identification Based on Traffic Analysis. - Rong Chen; Yangyang Li; Weiwei Fang (ICAIS (1), 2019)

Numerical simulation of Swift-Hohenberg equation by the fourth-order compact scheme. - Jian Su; Weiwei Fang; Qian Yu; Yibao Li (Comput. Appl. Math., 2019)

Markov Approximation for Task Offloading and Computation Scaling in Mobile Edge Computing. - Wenchen Zhou; Weiwei Fang; Yangyang Li; Bo Yuan; Yiming Li; Tian Wang 001 (Mob. Inf. Syst., 2019)

OKRA: optimal task and resource allocation for energy minimization in mobile edge computing systems. - Weiwei Fang; Shuai Ding; Yangyang Li; Wenchen Zhou; Naixue Xiong (Wirel. Networks, 2019)

EdgeLD: Locally Distributed Deep Learning Inference on Edge Device Clusters. - Feng Xue; Weiwei Fang; Wenyuan Xu 001; Qi Wang; Xiaodong Ma; Yi Ding 009 (HPCC/DSS/SmartCity, 2020)

More trainable inception-ResNet for face recognition. - Shuai Peng; Hongbo Huang; Weijun Chen 006; Liang Zhang; Weiwei Fang (Neurocomputing, 2020)

Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. - Weiwei Fang; Xin Li 102; Ping Zhou; Jingwen Yan; Dazhi Jiang; Teng Zhou (IEEE Access, 2021)

Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating. - Wenyuan Xu 001; Weiwei Fang; Yi Ding 009; Meixia Zou; Naixue Xiong (IEEE Access, 2021)

A stable second-order BDF scheme for the three-dimensional Cahn-Hilliard-Hele-Shaw system. - Yibao Li; Qian Yu; Weiwei Fang; Binhu Xia; Junseok Kim (Adv. Comput. Math., 2021)

Channel pruning guided by spatial and channel attention for DNNs in intelligent edge computing. - Mengran Liu; Weiwei Fang; Xiaodong Ma; Wenyuan Xu 001; Naixue Xiong; Yi Ding 009 (Appl. Soft Comput., 2021)

An ADMM-based incentive approach for cooperative data analysis in edge computing. - Weiwei Fang; Xue Wang; Qingli Wang; Yi Ding 009 (Turkish J. Electr. Eng. Comput. Sci., 2021)

EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices. - Weiwei Fang; Feng Xue; Yi Ding 009; Naixue Xiong; Victor C. M. Leung (IEEE Trans. Ind. Informatics, 2021)

Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach. - Yunpeng Wang; Weiwei Fang; Yi Ding 009; Naixue Xiong (Wirel. Networks, 2021)

A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems. - Tian Wang 001; Yang Li 049; Weiwei Fang; Wenzheng Xu; Junbin Liang; Yewang Chen; Xuxun Liu 001 (IEEE Trans. Big Data, 2022)

Classification-Based Dynamic Network for Efficient Super-Resolution. - Qi Wang; Weiwei Fang; Meng Wang; Yusong Cheng (ICASSP, 2023)

Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs. - Xiaodong Ma; Weiwei Fang (IJCNN, 2023)

Model Parallelism Optimization for Distributed DNN Inference on Edge Devices. - Meng Wang; Liang Qian; Na Meng 006; Yusong Cheng; Weiwei Fang (PAAP, 2023)

Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters. - Weiwei Fang; Wenyuan Xu 001; Chongchong Yu; Neal N. Xiong (ACM Trans. Internet Techn., 2023)

Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting. - Weiwei Fang; Wenhao Zhuo; Youyi Song; Jingwen Yan; Teng Zhou; Jing Qin 001 (Neurocomputing, 2023)

JMDC: A joint model and data compression system for deep neural networks collaborative computing in edge-cloud networks. - Yi Ding 009; Weiwei Fang; Mengran Liu; Meng Wang; Yusong Cheng; Naixue Xiong (J. Parallel Distributed Comput., 2023)

Dynamic deep neural network inference via adaptive channel skipping. - Meixia Zou; Xiuwen Li; Jinzheng Fang; Hong Wen; Weiwei Fang (Turkish J. Electr. Eng. Comput. Sci., 2023)

Efficient Deep Neural Network Compression for Environmental Sound Classification on Microcontroller Units. - Shan Chen; Na Meng 006; Haoyuan Li; Weiwei Fang (Turkish J. Electr. Eng. Comput. Sci., 2024)

TLEE: Temporal-Wise and Layer-Wise Early Exiting Network for Efficient Video Recognition on Edge Devices. - Qingli Wang; Weiwei Fang; Neal N. Xiong (IEEE Internet Things J., 2024)

An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms With Heterogeneous Processors. - Qi Wang; Weiwei Fang; Liang Qian; Yanming Chen 002; Neal N. Xiong (IEEE Internet Things J., 2024)

EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters. - Yanming Chen 002; Tong Luo; Weiwei Fang; Neal Naixue Xiong (ACM Trans. Internet Techn., 2024)

Joint Adaptive Resolution Selection and Conditional Early Exiting for Efficient Video Recognition on Edge Devices. - Qingli Wang; Chengwu Yu; Shan Chen; Weiwei Fang; Naixue Xiong (Big Data Min. Anal., 2025)

Efficient NPU-GPU scheduling for real-time deep learning inference on mobile devices. - Chengwu Yu; Meng Wang; Shan Chen; Wanqi Wang; Weiwei Fang; Yanming Chen 002; Neal N. Xiong (J. Real Time Image Process., 2025)

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning. - Sheng Chen; Peiyu He; Jiaxin Hu; Ziyang Liu; Yansheng Wang; Tao Xu; Chi Zhang; Chongchong Zhang; Chao An; Shiyu Cai; Duo Cao; Kangping Chen; et al. (CoRR, 2025)