1.   Intelligent Network, Open programmable network, Software Defined Network, Network Virtualization, Network Security, Network Performance Evaluation, Edge computing, Industrial Internet, Computing First Network

2.   Security of AI, Big Data Processing and Application

2009.09-2013.06   Ph.D. in Computer Science and Technology

                              College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2004.09-2007.03 M.S. in Network and information technology

                             School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China

1997.09-2001.06 B.S. in Mechanical Engineering & Automation

                             School of Mechanical & Electrical Engineering, NanChang University, NanChang, China

2022,11-               Dean, Science and Technology Department in Zhejing Gongshang University

2020.01-2022.11  Assoicate Dean, Zhejiang GhongShang Sussex AI Institute /  School of Information & Electronic Engineering

2018.12-               Professor, Zhejiang Gongshang University.

2017.01-2019.12  AssociateDean, Center of Network and Information in Zhejing Gongshang University

2015.10-2016.07  Visting Scholar, University of Florida

2014.03-2017.01 Director, Department of Network Engineering, School of Information and Electronic Engineering, Zhejiang Gongshang University

2013.11-2018.12  Associate professor, Zhejing Gongshang University.

2008.04-2013.11  Lecturer, Zhejing Gongshang University.

2007.03-2008.04  Assoicate lecturer, Zhejing Gongshang University.

2003.09-2004.09  Project manager, Hangzhou Create Information Technology Co., Ltd.

2001.07-2003.09  System engineer, Zhejiang Nanwang Image Information Technology Co., Ltd.

[1]    The Second Prize Award of Science and Technology Progress: Base station technology and industrial application of 5G network slice based on meta capability model, Zhejiang Provincial Government, China, 2022. (1/9)

[2]    The Second Prize Award of Science and Technology Progress: Technology and industrial application of network components with forwarding and control element separation. Ministry of education, China, 2018. (3/12)

[3]    The First Prize Award for Science and Technology (Technological Invention Class): Forwarding and Control Element Separation Technology, Zhejiang Provincial Government, China, 2015 (4/9)

[1]    Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin, Efficient Federated Learning in Resource-Constrained Edge Intelligence Networks using Model Compression, IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 2643 - 2655, 2024

[2]    Bo Ma, Lu Q, Qin Lu, Xuxing Fang, Junhu Liao, Haoyue Liu, Zebin Chen, Chuanhuang Li ARGCN: An intelligent prediction model for SDN network performance. Peer-to-Peer Networking and Applications, 2024.

[3]    Bo Ma, Heng Kuang, Shiyuan Liu, Chuanhuang Li, “UAV Assisted Cellular Network Traffic Offloading: Joint Swarm, 3D Deployment, and User Allocation Optimization based on A Data-Aware Method”, Computer Networks, 2023.5

[4]    Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin, Efficient Federated Learning using Random Pruning in Resource-Constrained Edge Intelligence Networks, IEEE Global Communications Conference (GLOBECOM), 2023

[5]    Chuanhuang Li, Jiali Lou, Shiyuan Liu, Zebin Chen, Xiaoyong Yuan, Shapley Explainer-an Interpretation Method for GNNs u sed in SDN, IEEE Global Communications Conference (GLOBECOM),2022

[6]    Chao Chen, Ziye Li, Seung Jun Baek, Rui Yin, Xiaohan Yu, Chuanhuang Li, Optimal Multicast Scheduling for Switched Beamforming Systems Leveraging Reflections, IEEE 96th Vehicular Technology Conference (VTC),2022

[7]    Chao Chen, Ripeng Huang, Seung Jun Baek, Rui Yin, Xiaohan Yu, Chuanhuang Li,Channel-Aware Scheduling for Coded Packet Broadcasting in Full-Duplex Relay Networks, IEEE Wireless Communications and Networking Conference (WCNC),2022

[8]    Chao Chen, Feifan Xue, Zhengyong Lu, Zhongyun Tang, Chuanhuang Li, RLMR: Reinforcement Learning based Multi-Path Routing for SDN, Wireless Communications and Mobile Computing, 2022:1-12,2022

[9]    Loss Analysis for Networks based on Heavy-Tailed and Self-Similar Traffic, Proceedings of 2020 4th International Conference on Data Mining, Communications and Information Technology.

[10]Chao, Chen., Meng, Z., Baek, S. J., Yu, X., Chuanhuang Li, C., & Yin, R.. Low-Complexity Coded Transmission Without CSI for Full-Duplex Relay Networks. In GLOBECOM 2020-2020 IEEE Global Communications Conference (pp. 1-6). IEEE.

[11]Chuntao Fang, Cheng Chong; Zhongyun Tang, Chuanhuang Li. Research on Routing Algorithm Based on Reinforcement Learning in SDN, Asia Pacific Institute of Science and Engineering. Proceedings of 2019 3rd International Conference on Data Mining, Communications and Information Technology (DMCIT 2019)

[12]Chuanhuang Li, Yan Wu, Xiaoyong Yuan, Zhengjun Sun, Weiming Wang, Xiaolin Li, Liang Gong, Detection and defense of DDoS attack-based on deep learning in OpenFlow-based SDN. International Journal of Communication Systems,31(5),2018

[13]Xiaoyong Yuan, Chuanhuang Li, Xiaolin Li, DeepDefense: Identifying DDoS Attack via Deep Learning, IEEE International Conference on Smart Computing (SMARTCOMP),2017-5,

[14]Chuanhuang Li, Yan Wu, Zhengzhe Qian, Zhengjun Sun, Weiming Wang. DDoS attack detection and defense based on hybrid deep learning model in SDN[J]. Journal on Communications, 2018, 39(7): 176-187.

[15]Chuanhuang Li, Cheng Chn, Xiaoyong Yuan, Lijie Cen, Weiming Wang. Policy conflict detection in software defined network by using deep learning[J]. Telecommunications Science, 2017, 33(11): 27-36.

[16]Chuanhuang Li, Liang Gong, Lijie Cen, et al. Performance optimisation of control channel in ForCES-based software defined network. IET Networks, 2016, 5(6): 162-169.

[17]Chuanhuang Li, Lijie Cen, Liang Gong, et al. ForSA-A new software defined network architecture based on forCES. China Communications, 2016, 13: 16-31.

[18]Lijie Cen, Chuanhuang Li, and Weiming Wang. A Feedback Mechanism Based on Randomly Suppressed Timer for ForCES Protocol. Information Science and Applications. Springer Berlin Heidelberg, 2015. pp103-110.

[19]Chenming Huang, Rong Jin, Chuanhuang Li, et al. A reconfigurable system of routing and switching node based on ATC[C], Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on. IEEE, 2015: 1339-1344.

[20]Siyun Yan, Chuanhuang Li, Ming Gao, et al. A Network Controller Supported Open Reconfigurable Technology[C]//International Conference on Testbeds and Research Infrastructures. Springer International Publishing, 2014: 395-405.

[21]Chuanhuang Li, Sanyuan Zhang, Weiming Wang, “Scheduling model and performance analysis in transport mapping layer of control element in forwarding and control element separation system”, International Journal of Communication Systems, 26, 2013, pp395-411

[22]Chuanhuang Li, Sanyuan Zhang, Weiming Wang, “Network Calculus Based Performance Analysis of ForCES SCTP TML in Congestion Avoidance Stage”, Information Technolodgy Journal, 12(4), 2013, pp584-593

[23]Chuanhuang Li, Weiming Wang, Yinyan Shi. “Performance prediction method for UML software architecture and its automation”. Ruan Jian Xue Bao/Journal of Software, 24(7), 2013, pp1512−1528. (in Chinese)

[24]Chuanhuang Li, Sanyuan Zhang, Weiming Wang, “Statistical performance analysis of strict priority and generalised processor sharing two-stage scheduling system under exponentially bounded burstiness input model”, IET Networks, 1(3), 2012, pp146-154

[25]Chuanhuang Li, Kelei Jin, Weiming Wang, “A Protocol of Reliable Multicast between CE and FE in ForCES Architecture Network Element”. Information Technolodgy Journal, 11(8), 2012, pp959-970

1.     2023.01 -- 2025.12: Research on the Key Technologies of Intelligent Business learing in the Model-based New Software Defined Edge Computing First Network (LZ23F010003), supported by Zhejiang Provincial Natural Science Foundation of China. (Key project of NSFC of Zhejiang Province).

2.     2019.01 -- 2022.12: Research on key technologies of situation awareness intelligent service deployment in heterogeneous software defined networks (61871468), supported by Natural Science Foundation of China (NSFC).

3.     2017.07 – 2021.07: Research on mimic configuration and service deployment technology (No.2017YFB0803202, sub-project) Supported by National Key Research and Development Program of China.

4.     2018.01 -- 2020.12: Research on intelligent service deployment technology in software definition network (LY18F010006), supported by Zhejiang Provincial Natural Science Foundation of China. (NSFC of Zhejiang Province).

5.     2014.01 – 2017.12: Research on Performance Model and Optimization of SDN System based on Stochastic Network Calculus (61402408), supported by Natural Science Foundation of China (NSFC).

6.     2014.01 -- 2016.03：Research on ForCES Function Block Topology Construction and Configuration Automation Based on Performance Mode (2011R50010-12), Supported by Zhejiang Provincial Science and technology plan of China.

7.     2012.07 -- 2013.12：Performance analysis of forwarding and control separation architecture (2011R50010-03), Supported by Zhejiang Provincial Science and technology plan of China.

8.     2010.06 -- 2012.06：Research on Business Reconfiguration Mechanism Based on Network Service Model in ForCES Controller (Y1100871), supported by Zhejiang Provincial Natural Science Foundation of China. (NSFC of Zhejiang Province).

9.     2011.01 -- 2012.06：Research and development of ForCES global interoperability platform (2011C21049), Supported by Zhejiang Provincial Science and technology plan of China.

[1]    Chuanhuang Li, Zhongliang Chen et.al., A SDN routing convergence method based on network feature reinforcement learning, China patent for invention CN202110145046.2, May 2022

[2]    Zhongyun Tang, Chuanhuang Li et.al., A mimic defense architecture and method for SDN/NFV service deployment, China patent for invention CN2018111841615, May 2022

[3]    Chuanhuang Li, Jiadong Xuan et.al., A primary and secondary reset judgment system based on mimic service functional framework, China patent for invention CN202110144278.6, May 2022

[4]    Chuanhuang Li, Zheng Wang et.al., A network convergence method for SDN link failure based on Sub-topology Network, China patent for invention CN202110145082.9, May 2022

[5]    Chuanhuang Li, Jingjing Tang et.al., A scheduling method of mimic service function chain, China patent for invention CN202110144910.7, June 2022

[6]    Chuanhuang Li, Danna Zhuang, Hao Tang, A routing optimization method based on SDN context awareness, China patent for invention CN201911400370.3, March 2022

[7]    Chuanhuang Li, Danna Zhuang et.al., A method to sense SDN time delay based on graph neural network, China patent for invention CN201911400281.9, March 2022

[8]    Zhongyun Tang, Chuanhuang Li et.al., A scheduling method for service deployment executor set heterogeneity guarantee under mimic defense, China patent for invention CN201811184148X, October 2021

[9]    Chuanhuang Li, Chuntao Fang, Zhengyong Lu, A reinforcement learning-based multipath routing planning method for SDN, China patent for invention CN201911183909.4, September 2021

[10]Chunjiang Yang, Chuanhuang Li et.al., Analysis method, electronic device and storage medium for uplink data, China patent for invention CN2020109333481, July 2021

[11]Weiqiao Wang, Gang Liang, Chuanhuang Li et.al., Resource scheduling parameter adjustment method, device, storage medium and electronic device, China patent for invention CN2021102526365, July 2021

[12]Chuanhuang Li, Hao Tang et.al., A network energy-saving device and method based on deep learning in SDN, China patent for invention CN2018108850411, June 2021

[13]Chuanhuang Li, Zhengyong Lu et.al., A SDN routing planning method based on reinforcement learning, China patent for invention CN201811292342.X, March 2021

[14]Chuanhuang Li, Yan Wu et.al., A routing planning method based on deep Q-learning, China patent for invention CN2017110024561, December 2020

[15]Chuanhuang Li, Bin Zhuge et.al., A multi-precision clock synchronization method for 5G intelligent nodes based on SDN architecture, China patent for invention CN202010752261, December 2020

[16]Chuanhuang Li, Chao Chen et.al., A full-duplex relay packet optimal scheduling method for 5G front-end equipment, China patent for invention CN202010747892.7, December 2020

[17]Chuanhuang Li, Zhengwei Ni et.al., An optimization method for the best operating state of communication equipment under 5G base stations, China patent for invention CN202010863911.2, November 2020

[18]Chuanhuang Li, Zhengjun Sun et.al., A DDOS detection method based on deep learning, China patent for invention CN2017100188508, April 2020

[19]Weiming Wang, Chuanhuang Li et.al., Open router device and method thereof, China patent for invention CN201010173261.5., February 2013

[20]Chuanhuang Li, Zhengjun Sun et.al., A DDOS defense device and method based on deep learning in SDN, China patent for invention CN201611027774.9, October 2019

IETF Standards

[1]   IETF draft: SFC Security Mimicry Defense,https://datatracker.ietf.org/doc/draft-li-ietf-sfc-security-mimicry-defense/?include_text=1 ,March 2021. (One of the Authors)

[2]  IETF standard（Category: Standards Track）：RFC6956 - ForCES Logical Function Block (LFB) Library. http://www.rfc-editor.org/rfc/rfc6956.txt, June 2013. (One of the Authors)

[3]    IETF standard（Category: Standards Track）：RFC5813 - SCTP-Based Transport Mapping Layer (TML) for the Forwarding and Control Element Separation (ForCES) Protocol, http://www.rfc-editor.org/rfc/rfc5811.txt, March 2010. (One of the contributors)

[4]    IETF standard (Category: Informational)：RFC 6053 - Implementation Report for Forwarding and Control Element Separation (ForCES), http://www.rfc-editor.org/rfc/rfc6053.txt, March 2010. (One of the contributors)

[5]    IETF draft (Category: Informational): ForCES Interoperability Draft, http://tools.ietf.org/html/draft-ietf-forces-interoperability-04, September 2009. (One of the Authors)