Siguang Chen (World’s Top 2% Scientists, IEEE Senior Member) is currently a Full Professor at Hohai University. He received his Ph.D. in Information Security from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2011. He finished his Postdoctoral research work in City University of Hong Kong in 2012. From 2014 to 2015, he also was a Postdoctoral Fellow in the University of British Columbia. From 2012 to 2025, he worked as a Professor at Nanjing University of Posts and Telecommunications. He has published more than 100 papers and applied 30 patents, served/serves as Editor of EAI Endorsed Transactions on Cloud Systems, and Journal on Internet of Things, Guest Editor of three international journals, Corresponding Experts of Engineering, and served/serves as General Co-Chair of ICAIS/ICCCS 2019-2022 Workshop and Energy-Secure AIoT 2022-2023. He also served/serves as a TPC member in several conferences, such as IEEE GLOBECOM, IEEE ICC and IEEE EDGE. His current research interests are in the area of artificial intelligence and security.

• 03/2025: One of our paper "Malicious clients and contribution co-aware federated unlearning" was accepted by IEEE Transactions on Artificial Intelligence. 

• 03/2025: One of our paper "Communication-efficient personalized federated learning for non-IID scenarios" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 

• 12/2024: One of our paper "Digital twin-empowered federated incremental learning for non-IID privacy data" was accepted by IEEE Transactions on Mobile Computing. 

• 09/2024: One of our paper "Debiased device sampling for federated edge learning in wireless networks" was accepted by IEEE Transactions on Mobile Computing. 

• 08/2024: One of our paper "RFID-based respiration monitoring under daily body motion disturbances" was accepted by International Journal of Human-Computer Interaction. 

• 07/2024: One of our paper "Prototypes contrastive learning empowered intelligent diagnosis for skin lesion" was accepted by IEEE Internet of Things Journal. 

• 07/2024: One of our paper "Client selection for federated learning against label flipping attacks" was accepted by Chinese Journal on Internet of Things. 

• 05/2024: One of our paper "Communication-efficient decentralized federated learning with resource heterogeneity" was accepted by Systems Engineering and Electronics. 

• 01/2024: One of our paper "Local adaptive federated learning with channel personalized normalization" was accepted by Journal of Electronics and Information Technology. 

• 01/2024: One of our paper "Deep reinforcement learning-based collaborative computation offloading and caching decision for Internet of Things" was accepted by International Journal of Embedded Systems. 

• 01/2024: One of our paper "Exploitation maximization of unlabeled data for federated semi-supervised learning" was accepted by IEEE Transactions on Emerging Topics in Computational Intelligence. 

• 12/2023: One of our paper "Amplitude-aligned personalization and robust aggregation for federated learning" was accepted by IEEE Transactions on Sustainable Computing. 

• 12/2023: One of our paper "Energy fairness-based hybrid heuristic computation offloading algorithm" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 

• 12/2023: One of our paper "Compressed sensing-based practical and efficient privacy-preserving federated learning" was accepted by IEEE Internet of Things Journal. 

• 11/2023: One of our paper "Energy and delay co-aware intelligent computation offloading and resource allocation for fog computing networks" was accepted by Multimedia Tools and Applications. 

• 11/2023: One of our paper "Federated semi-supervised learning-based intelligent recognition for skin lesion" was accepted by Chinese Journal of Bioinformatics. 

• 10/2023: One of our paper "Communication-efficient personalized federated learning with privacy-preserving" was accepted by IEEE Transactions on Network and Service Management. 

• 09/2023: One of our paper "Metadata and image features co-aware semi-supervised vertical federated learning with attention mechanism" was accepted by IEEE Transactions on Vehicular Technology. 

• 08/2023: One of our paper "D2D-assisted task offloading and caching replacement for edge computing" was accepted by Journal of Chinese Computer Systems. 

• 08/2023: One of our paper "Robust federated learning with parameter classification and weighted aggregation against noisy labels" was accepted by IEEE GLOBECOM.

• 08/2023: One of our paper "FedAC: Satellite-terrestrial collaborative federated learning with alternating contrastive training" was accepted by IEEE GLOBECOM.

• 07/2023: One of our paper "Intelligent offloading in fog computing via combining energy harvesting and resource allocation" was accepted by Chinese Journal of Sensors and Actuators.

• 07/2023: One of our paper "Directional charging-based scheduling strategy for multiple mobile chargers in wireless rechargeable sensor networks" was accepted by Ad Hoc Networks. 

• 06/2023: One of our paper "User satisfaction-based energy-saving computation offloading in fog computing networks" was accepted by Journal of Supercomputing. 

• 05/2023: One of our paper "RFID-based human action recognition through spatiotemporal graph convolutional neural network" was accepted by IEEE Internet of Things Journal. 

• 05/2023: One of our paper "Metadata and image features co-aware personalized federated learning for smart healthcare" was accepted by IEEE Journal of Biomedical and Health Informatics. 

• 04/2023: One of our paper "Skin lesion intelligent diagnosis in edge computing networks: a federated contrastive learning approach" was accepted by ACM Transactions on Intelligent Systems and Technology. 

• 04/2023: One of our paper "Wear-free indoor fall detection based on RFID and deep residual networks" was accepted by International Journal of Communication Systems. 

• 02/2023: One of our paper "Deep reinforcement learning-based collaborative edge computing offloading and caching mechanism" was accepted by Chinese Control and Decision Conference (CCDC 2023). 

• 02/2023: One of our paper "Blockchain-enabled secure and privacy-preserving data aggregation for fog-based ITS" was accepted by Computers, Materials & Continua. 

• 02/2023: One of our paper "Dynamic privacy-enhanced federated learning algorithm based on gradients perturbation" was accepted by CSCWD 2023. 

• 01/2023: One of our paper "Decentralized two-stage federated learning with knowledge transfer" was accepted by IEEE ICC. 

• 01/2023: One of our paper "Dual aggregated federated learning with depthwise separable convolution for smart healthcare" was accepted by IEEE ICC. 

• 01/2023: One of our paper "microGEMM: An effective CNN-based inference acceleration for edge computing" was accepted by IEEE ICC. 

• 01/2023: One of our paper "Deep Bayesian distillation network-based skin lesion recognition mechanism" was accepted by China Digital Medicine. 

• 01/2023: One of our paper "Towards smart and efficient service systems: computational layered federated learning framework" was accepted by IEEE Network. 

• 12/2022: One of our paper "Federated deep learning-based intelligent diagnosis for skin lesion" was accepted by Chinese Journal of Bioinformatics. 

• 12/2022: One of our paper "Efficient privacy-preserving federated learning against inference attacks for IoT" was accepted by IEEE WCNC. 

• 12/2022: One of our paper "Knowledge discrepancy-aware federated learning for non-IID data" was accepted by IEEE WCNC. 

• 12/2022: One of our paper "Privacy-enhanced federated learning algorithm against inference attack" was accepted by Computer Science. 

• 12/2022: One of our paper "Uncertainty minimization for personalized federated semi-supervised learning" was accepted by IEEE Transactions on Network Science and Engineering. 

• 11/2022: One of our paper "Efficient federated learning based on selective communication policy" was accepted by Journal of Chinese Computer Systems. 

• 11/2022: One of our paper "UAV dispatch planning for a wireless rechargeable sensor network for bridge monitoring" was accepted by IEEE Transactions on Sustainable Computing. 

• 11/2022: One of our paper "Residual inception and bidirectional ConvGRU empowered intelligent segmentation for skin lesion" was accepted by Journal of Data Acquisition and Processing. 

• 11/2022: One of our paper "Incentive-aware blockchain-assisted intelligent edge caching and computation offloading for IoT" was accepted by Engineering. 

• 10/2022: One of our paper "Spectral clustering-based Fourier personalized federated learning mechanism" was accepted by Journal of Electronics and Information Technology. 

• 10/2022: One of our paper "Radio frequency energy harvesting-based collaborative energy-saving computation offloading mechanism" was accepted by Chinese Journal on Internet of Things. 

• 08/2022: One of our paper "Intelligent resource allocation and computation offloading mechanism for edge computing" was accepted by Journal of North University of China (Natural Science Edition). 

• 08/2022: One of our paper "SWIPT based rechargeable fog computation offloading mechanism" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 

• 08/2022: One of our paper "Double perturbation-based privacy-preserving federated learning against inference attack" was accepted by IEEE GLOBECOM. 

• 07/2022: One of our paper "Improved particle swarm optimization-based computation offloading and caching decision for Internet of Things" was accepted by IEEE ICCC. 

• 07/2022: One of our paper "Combined multi-resource task offloading algorithm for P2P in edge computing" was accepted by Journal of Beijing University of Posts and Telecommunications. 

• 06/2022: One of our paper "Deep residual pyramid-based skin lesion segmentation and feature extraction mechanism" was accepted by Chinese Journal of Sensors and Actuators. 

• 06/2022: One of our paper "Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT" was accepted by Digital Communications and Networks. 

• 06/2022: One of our paper "DDPG-based intelligent rechargeable fog computation offloading for IoT" was accepted by Wireless Networks. 

• 04/2022: One of our paper "Deep reinforcement learning-based cloud-edge collaborative mobile computation offloading in industrial networks" was accepted by IEEE Transactions on Signal and Information Processing over Networks. 

• 01/2022: Dr. Siguang Chen was appraised as excellent corresponding expert of Engineering Journal for 2021.

• 12/2021: One of our paper "Efficient and energy-saving computation offloading mechanism with energy harvesting for IoT" was accepted by Security and Communication Networks. 

• 11/2021: One of our paper "UAV working modes selection based data transmission for wireless sensor networks" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 

• 10/2021: One of our project was awarded the Second Class Prize for Invention and Innovation Award of China Association of Inventions. 

• 10/2021: One of our paper "A novel multi-objective and multi-constraint route recommendation method based on crowd sensing" was accepted by Applied Sciences. 

• 09/2021: One of our paper "Transfer learning-based intelligent diagnosis for skin lesion in cloud-edge computing networks" was accepted by WCSP 2021. 

• 08/2021: One of our paper "Contrastive learning based intelligent skin lesion diagnosis in edge computing networks" was accepted by IEEE GLOBECOM 2021. 

• 06/2021: One of our paper "Research on hybrid wireless charging scheduling in wireless rechargeable sensor network" was accepted by Chinese Journal of Sensors and Actuators. 

• 06/2021: One of our project was funded by the Jiangsu Planned Projects for Postdoctoral Research Funds from 2021 to 2023.

• 04/2021: One of our paper "Fairness and energy co-aware computation offloading for fog-assisted IoT" was accepted by Chinese Journal of Engineering (工程科学学报). 

• 04/2021: One of our paper "Resource allocation and control co-aware smart computation offloading for blockchain-enabled IoT" was accepted by Chinese Journal of Computers (计算机学报).

• 03/2021: One of our paper "Cache management and resource allocation based energy-balancing content service mechanism" was accepted by Chinese Journal of Sensors and Actuators. 

• 03/2021: One of our paper "Fog-assisted hierarchical multi-dimensional data aggregation with privacy preservation" was accepted by Journal of Chinese Computer Systems. 

• 01/2021: Dr. Siguang Chen was appraised as excellent corresponding expert of Engineering Journal for 2020.

• 01/2021: Dr. Siguang Chen was elected as Dingxin Scholar of 1311 Talents Plan of NJUPT.

• 12/2020: One of our paper "Edge blockchain assisted lightweight privacy-preserving data aggregation for smart grid" was accepted by IEEE Transactions on Network and Service Management. 

• 08/2020: One of our paper "Fog-assisted hierarchical multi-dimensional data aggregation with privacy preservation" was accepted by CWSN 2020. 

• 06/2020: One of our paper "Double-blockchain assisted secure and anonymous data aggregation for fog-enabled smart grid" was accepted by Engineering.

• 05/2020: One of our paper "Design of optimal utility of wireless Rechargeable sensor networks via joint spatiotemporal scheduling" was accepted by Applied Mathematical Modelling.

• 04/2020: One of our paper "Privacy and energy co-aware data aggregation computation offloading for fog-assisted IoT networks" was accepted by IEEE Access.

• 02/2020: One of our paper "Layered data aggregation with efficient privacy preservation for fog-assisted IIoT" was accepted by International Journal of Communication Systems.

• 02/2020: One of our paper "Cooperative caching game based on social-trust for D2D communication networks" was accepted by International Journal of Communication Systems.

• 02/2020: One of our paper "Deep reinforcement learning based cloud-edge collaborative computation offloading mechanism" was accepted by ACTA ELECTRONICA SINICA.

• 01/2020: One of our paper "Efficient privacy preserving data collection and computation offloading for fog-assisted IoT" was accepted by IEEE Transactions on Sustainable Computing.

• 01/2020: One of our paper "Spatiotemporal charging scheduling in wireless rechargeable sensor networks" was accepted by Computer Communications.

• 01/2020: One of our paper "Latency-minimum offloading decision and resource allocation for fog-enabled IoT networks" was accepted by Transactions on Emerging Telecommunications Technologies.

• 12/2019: One of our paper "Energy-optimal dynamic computation offloading for industrial IoT in fog computing" was accepted by IEEE Transactions on Green Communications and Networking.

• 12/2019: One of our paper "Deep learning-based energy-efficient fog computing offloading mechanism" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition).

• 11/2019: One of our project was funded by the CERNET (RMB 70,000) from 2020 to 2021.

• 11/2019: One of our project was funded by the Institute of Intelligent Locks (RMB 40,000) from 2020 to 2021.

• 11/2019: One of our project was funded by the Open Research Fund of Key Laboratory of Network and Information Security (RMB 20,000) from 2020 to 2021.

• 09/2019: One of our paper "Fog-assisted lightweight privacy-preserving data multilevel aggregation scheme" was accepted by Journal of Chinese Computer Systems. 

• 08/2019: One of our project was funded by the National Natural Science Foundation of China (RMB 590,000) from 2020 to 2023.

• 08/2019: One of our paper "Energy and delay co-aware computation offloading with deep learning in fog computing networks" was accepted by IEEE IPCCC 2019. 

• 06/2019: One of our paper "Fog computing based secure and privacy-aware data aggregation in smart grid" was accepted by Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 

• 05/2019: One of our paper "DUE Distribution and Pairing in D2D Communication" was accepted by ICCCN 2019. 

• 04/2019: One of our paper "Congestion relief in downlink OFDMA cellular system using inter-cell relay" was published by China Communications.

• 04/2019: One of our paper "Hybrid location-based recommender system for mobility and travel planning" was accepted by Mobile Networks and Applications.

• 03/2019: One of our paper "Fog-based optimized Kronecker-supported compression design for industrial IoT" was accepted by IEEE Transactions on Sustainable Computing.

• 02/2019: One book chapter "Data-driven Edge Computing" was accepted by the Editorial Board of the book project "Encyclopedia of Wireless Networks".

• 02/2019: One of our paper "Delay guaranteed energy-efficient computation offloading for industrial IoT in fog computing" was accepted by IEEE ICC 2019.

• 01/2019: Dr. Siguang Chen was invited as corresponding experts of Engineering Journal.

• 01/2019: One of our paper "Layered adaptive compression design for efficient data collection in industrial wireless sensor networks" was accepted by Journal of Network and Computer Applications.

• 10/2018: Dr. Siguang Chen was invited as a TPC member of IEEE ICC 2019.

• 09/2018: One of our paper "Energy-efficient data collection scheme for environmental quality management in buildings" was accepted by IEEE Access.

• 08/2018: One of our paper "Accelerated sampling optimization for RF energy harvesting wireless sensor network" was accepted by IEEE Access.

• 07/2018: Dr. Siguang Chen was elected as Cultivated Talent of 333 High-level Talents Training Project of Jiangsu Province.

• 07/2018: One of our paper "Fog computing assisted  efficient privacy preserving data collection for big sensory data" was accepted by IEEE GLOBECOM 2018.

• 06/2018: Dr. Siguang Chen was funded by the Academic Exchange Program of Postdoctoral International Exchange Plan (RMB 30,000). 

• 05/2018: One of our project was funded by the China Postdoctoral Science Foundation  (RMB 80,000) from 2018 to 2020.

• 04/2018: One of our paper "Improving physical layer security and efficiency in D2D underlay communications" was accepted by Wireless Networks.

• 04/2018: Two of our papers "Layered compression scheme for efficient data collection of sensory data" and "Cluster-aware Kronecker supported data collection for sensory  data" were accepted by ICCCN 2018. 

• 02/2018: Our paper "Compressive network coding for wireless sensor networks: spatio-temporal coding and optimization design" received Excellent Academic Paper Award of Natural Science of Nanjing.

• 01/2018: One of our project was funded by the Open Research Fund of Jiangsu Engineering Research Center of Communication and Network Technology (RMB 40,000) from 2018 to 2019.

• 01/2018: One of our paper "Fog computing based optimized compressive data collection for big sensory data" was accepted by IEEE ICC 2018.