龙承念
职称：教授
研究方向：（1）智能物联网：嵌入式计算机视觉、深度学习、边缘智能计算
（2）区块链技术：联盟链共识协议，多方安全计算和同态加密、可信AI
（3）信息物理融合系统：电网安全与优化控制，船舶物联网系统
办公地址：电信群楼2-515
办公电话：
电子邮箱：longcn@sjtu.edu.cn
团队主页：iwin.sjtu.edu.cn

教育经历
2001/9 - 2004/12，燕山大学，控制理论与控制工程，博士
1999/9 - 2001/6，燕山大学，控制理论与控制工程，硕士
1995/9 - 1999/7，燕山大学，自动化，学士
工作经历
2011/01 – 至今， 上海交通大学，自动化系，教授、博士生导师
2011/08-2011/08， 加拿大维多利亚大学，机械与电子工程系，访问教授
2010/06 – 2010/08，阿尔伯塔大学，电子与计算机工程系，访问教授
2009/01 – 2010/12，上海交通大学，自动化系，副教授
2007/01 – 2008/12，加拿大阿尔伯塔大学，电子与计算机工程系，博士后
2006/01 – 2006/12，香港科技大学，计算机科学系，博士后
2005/01 – 2008/12，燕山大学，自动化系，副教授
1999/07 – 2004/12，燕山大学，自动化系，助教、讲师
科研方向
Chengnian Long is a full professor of Department of Automation, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. His research interest mainly focuses on the Cyber-Physical Systems (CPS), including
1) Artificial Intelligence of Things (AIoT): Embedded computer vision for smart devices (UAV, Autonomous vehicles), Internet of Vehicle, Deep Learning, Cloud/Edge Computing
2) Blockchain Technology: Distributed System (Consortium Blockchain, Consensus Protocol), Multi-party Computing and Homomorphic Encryption, Trusted AI with Blockchain Technology
3) Cyber-Physical Systems (CPS) Security: Security estimation and control of Smart Grid, Internet of Energy, Internet of Things for Ships
科研项目
Selected Funds
1) PI: Data-driven based Attack Detection and Dynamic Response in Smart Distribution Network, NSFC, 2021.01-2024.12.
2) PI: Application of Blockchain Technology in 5G/V2X Security Authentication System, Shanghai Automotive Industry Technology Development Foundation, 2020.09-2022.06.
3) PI: Novel Consensus Algorithm and Key Technology of Smart Contract for Transportation Consortium Blockchain, STCSM (**), 2019.09-2021.08.
4) PI: Cyber-Physical Security Control and Response Mechanism for Coordinated Attack in Power Grids, NSFC (**), 2017.01-2020.12.
5) PI: Dynamic Spectrum Auction Mechanism and Optimal Algorithm for Cognitive Radio Networks, NSFC (**), 2012.01-2015.12.
6) PI: Low Power Computer Vision and Networking Optimization Method for Smart Video Networks, New Century Excellent Talents, Ministry of Education (NCET-11-0326), 2012.01-2014.12。
7）PI: QoS Measurement Technology for GSM-R Network, Key Project for Ministry of Railway (2010X020), 2010.08-2011.12.
科研成果
代表性论文：
Lijun Wei,Jing Wu, Chengnian Long, Bo Li, “On Designing Context-Aware Trust Model and Service Delegation for Social Internet of Things”, IEEE Internet of Things Journal, 2020.
Yigao Du,Jing Wu, Shaoyuan Li, Chengnian Long, Simona Oncri, “Hierarchical Coordination of Two-Time Scale Microgrids with Supply-Demand Imbalance”, IEEE Transactions on Smart Grid, DOI:10.1109/TSG.2020.**, 2020.
Chensheng Liu, Hao Liang, Tongwen Chen, Jing Wu and Chengnian Long, "Joint Admittance Perturbation and Meter Protection for Mitigating Stealthy FDI Attacks against Power System State Estimation," IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1468-1478, 2020.
Lijun Wei, Jing Wu, Chengnian Long*, “A Blockchain-based Hybrid Incentive Model for Crowdsensing,” Electronics Special Issue Advances in Blockchain and Distributed Ledger Technology (DLT) for Industry 4.0 Technologies, 9(2), 215, 2020.
José Luis Calderón Choy, Jing Wu, Chengnian Long*, Yi-Bing Lin, “Ubiquitous and Low Power Vehicles Speed Monitoring for Intelligent Transport Systems,” IEEE Sensor Journal, DOI: 10.1109/JSEN.2020.**, 2020.
Rui Huang, Jing Wu, Chengnian Long*, Yanmin Zhu, Bo Li, Yi-Bing Lin, “SPRCA: Distributed Multi-Source Information Propagation in Multi-Channel VANETs,” IEEE Transactions on Vehicular Technology, vol. 66, no.1 2, pp. 11306-11316, Dec. 2019.
Lijun Wei, Jing Wu, Chengnian Long*, “A Consortium Blockchain-based Incentive Model for Crowdsensing,” IEEE Blockchain Technical Briefs, Sep. 2019.
Lijun Wei, Jing Wu, Chengnian Long*, Yi-Bing Lin, “The Convergence of IoE and Blockchain: Security Challenges,” IT Professional, vol. 21, no. 5, pp. 26-32, 2019.
Chensheng Liu, Min Zhou, Jing Wu, Chengnian Long*, Deepa Kundur, “Financially Motivated FDI on SCED in Real-Time Electricity Markets: Attacks and Mitigation,” IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1949-1959, Mar. 2019.
Yigao Du, Jing Wu, Shaoyuan Li, Chengnian Long, Ioannis Ch. Paschalidis, “Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems,” IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 1781-1790, Mar. 2019.
Chensheng Liu, Min Zhou, Jing Wu, Chengnian Long*, Yebin Wang, “Electric Vehicles En-route Charging Navigation Systems: Joint Charging and Routing Optimization,” IEEE Transactions on Control Systems Technology, vol. 27, no. 2, pp. 906-914, Mar. 2019.
Lijun Wei, Shaowei Liu, Jing Wu, Chengnian Long*, Shiyao Ma, Bo Li, “Enabling Distributed and Trusted IoT Systems with Blockchain Technology,” IEEE Blockchain Technical Briefs, Jan. 2019.
Chensheng Liu, Jing Wu, Chengnian Long*, Deepa Kundur, “Reactance Perturbation for Detecting and Identifying FDI Attacks in Power System State Estimation,” IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 4, pp. 763-776, Aug. 2018.
Rui Huang, Jing Wu, Chengnian Long*, Yanmin Zhu, Bo Li, Yi-Bing Lin, “Mitigate the Obstructing Effect of Vehicles on the Propagation of VANETs Safety-related Information,” IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 5558-5569, Jun. 2018.
Juan Li, Yanmin Zhu, Jiadi Yu, Chengnian Long, Guangtao Xue, Shiyou Qian, “Online Auction for IaaS Clouds: towards Elastic User Demands and Weighted Heterogeneous VMs,” IEEE Transactions on Parallel and Distributed Systems, vol.29, no. 9, pp. 2075 - 2089, 2018.
Chensheng Liu, Xinjun Ma, Min Zhou, Jing Wu, Chengnian Long*, “An Event-Trigger Two-Stage Architecture for Voltage Control in Power Distribution Systems,” International Journal of Electrical Power and Energy Systems, vol. 95, pp. 577-584, 2018.
Chensheng Liu, Jing Wu, Chengnian Long*, and Yebin Wang, Dynamic State Recovery for Cyber-Physical Systems under Switching Location Attacks, IEEE Transaction on Control of Network Systems (Special Issue on Secure Control of Cyber Physical Systems), vol.4, no. 1, pp. 14-22, Mar. 2017.
Meiqin Tang, Yalin Xin, Chengnian Long, Xinjiang Wei, Xiaohua Liu, “Optimizing Power and Rate in Cognitive Radio Networks using Improved Particle Swarm Optimization with Mutation Strategy”, Wireless Personal Communications, vol. 89, no. 4, pp. 1027-1043, Aug. 2016.
Chengnian Long*, Jing Wu, “Visual Sensor Networks—Adaptive Online Configuration of Surveillance Networks with Distributed Smart Cameras,” Human Behavior Understanding in Networked Sensing (Book Chapter 7), Springer, pp. 155-170, Feb. 2014.
Yongsen Ma, Xiaofeng Mao, Pengyuan Du, Chengnian Long and Bo Li, “Dynamic Estimation of Local Mean Power in GSM-R Networks,” ACM/Springer Wireless Networks, vol. 20, no. 2, pp. 289–302, Jun. 2014.
Qiang Wang, Jing Wu, Chengnian Long* and Bo Li, “P-FAD: Real-Time Face Detection Scheme on Embedded Smart Cameras,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 3, no. 2, pp. 210-222, 2013.
Meiqin Tang, Chengnian Long, Xinping Guan and Xinjiang Wei, “Non-Convex Dynamic Spectrum Allocation for Cognitive Radio Networks via Particle Swarm Optimization and Simulated Annealing,” Computer Networks, vol. 56, no. 11, pp. 2690-2699, Jul. 2012.
Chengnian Long*, Qun Chi, Xinping Guan and Tongwen Chen, “Joint Random Access and Power Control Game in Ad Hoc Networks with Non-Cooperative Users,” Ad Hoc Networks (Elsevier), vol. 9, no. 2, pp. 142-151, Mar. 2011.
Meiqin Tang, Chengnian Long and Xinping Guan, “Non-Convex Optimization for Power Control in Wireless CDMA Networks,” Wireless Personal Communications, vol. 58, no. 4, pp. 851-865, Jun. 2011.
Meiqin Tang, Chengnian Long and Xinping Guan, “Non-convex Maximization for Communication Systems Based on Particle Swarm Optimization,” Computer Communications (Elsevier), vol. 33, no. 7, pp. 841-847, May. 2010.
Bo Yang, Gang Feng, Yanyan Shen, Chengnian Long and Xinping Guan, “Channel Aware Access for Cognitive Radio Networks,” IEEE Transactions on Vehicular Technology, vol. 58, no. 7, pp. 3726-3737, Sept. 2009.
Chengnian Long*, Bo Li, Qian Zhang, Bin Zhao, Bo Yang and Xinping Guan, “The End-To-End Rate Control in Multiple-Hop Wireless Networks: Cross-Layer Formulation and Optimal Allocation,” IEEE Journal on Selected Areas in Communications, Special Issue on Communication and Control, vol. 26, no. 4, pp. 719-731, May. 2008.
Bo Yang, Yanyan Shen, Gang Feng, Chengnian Long, Zhongping Jiang and Xinping Guan, “Distributed Power Control and Random Access for Spectrum Sharing with QoS Constraint,” Computer Communications (Elsevier), vol. 31, no. 17, pp. 4089-4097, Nov. 2008.
Chengnian Long*, Qian Zhang, Bo Li, Huilong Yang and Xinping Guan, “Non-Cooperative Power Control for Wireless Ad Hoc Networks With Repeated Games,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 6, pp. 1101-1112, Aug. 2007.
Bo Yang, Gang Feng, Chengnian Long and Xinping Guan, “Maximum Lifetime Rate Control and Random Access in Multi-Hop Wireless Networks,” Computer Communications (Elsevier), vol. 29, no. 18, pp. 3844-3855, Nov. 2006.
Changchun Hua, Chengnian Long and Xinping Guan, “New Results on Stability Analysis of Neural Networks with Time-Varying Delays,” Physics Letters A (Elsevier), vol. 352, no. 4, pp. 335-340, April 2006.
Xinping Guan, Bo Yang, Chengnian Long and Dahai Zhang, “Performance Guarantee and Stability Analysis of A Rate-Based Flow Control Algorithm,” Journal of Systems Engineering and Electronics, vol. 16, no. 2, pp. 369-375, 2005.
Xinping Guan, Bo Yang, Chengnian Long and Zhixin Liu, “Congestion Control Based on Optimal Problem for Long Range Dependence Network,” Journal of High Speed Networks, vol. 14, no. 3, pp. 215-226, 2005.
Chengnian Long, Bin Zhao, Xinping Guan and Jun Yang, “The YELLOW Active Queue Management Algorithm,” Computer Networks (Elsevier), vol. 47, no. 4, pp. 525-550, March 2005. (Correspondence Author)
Chengnian Long, Bin Zhao and Xinping Guan, “SAVQ: Stabilized Adaptive Virtual Queue Management Algorithm,” IEEE Communications Letters, vol. 9, no. 1, pp. 78-80, Jan. 2005. (Correspondence Author)
Chengnian Long, Jing Wu and Xinping Guan, “Local Stability of REM Algorithm with Time-Varying Delays,” IEEE Communications Letters, vol. 7, no. 3, pp. 142-144, 2003. (Correspondence Author)
Xinping Guan, Jing Wu, Chengnian Long and Peng Shi, “Resilient Guaranteed Cost Control for Uncertain Discrete Linear Jump Systems,” International Journal of Systems Science, vol. 34, no. 4, pp. 283-292, 2003.
Xinping Guan, Chengnian Long and Guangren Duan, “Robust optimal guaranteed cost control for 2-D discrete systems,” IEE Proceeding-Control Theory and Applications，vol. 148, no. 5, pp. 355-361, SEP 2001.
Lijun Wei, Jing Wu, Chengnian Long*, A Hierarchical Trust Management Architecture based on Blockchain for Crossover Service, The 2nd International Conference on Blockchain Technology (ICBCT 2020), Hawaii, USA, March 12-14, 2020.
Yuhan Yang, Lijun Wei, Jing Wu, Chengnian Long*, Block-SMPC: A Blockchain-based Secure Multi-party Computation for Privacy-Protected Data Sharing, The 2nd International Conference on Blockchain Technology (ICBCT 2020), Hawaii, USA, March 12-14, 2020.
Yang Su, Jing Wu, Chengnian Long*, Lijun Wei, Secure Decentralized Machine Identifiers for Internet of Things, The 2nd International Conference on Blockchain Technology (ICBCT 2020), Hawaii, USA, March 12-14, 2020.
Yinan Ma, Jing Wu, Chengnian Long*, “GazeFCW: Filter Collision Warning Triggers by Detecting Driver's Gaze Area”, In Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML 2019). ACM, New York, NY, USA, 13-18.
Zhaobin Yang, Jing Wu, Chengnian Long*, “Learning Spatial-Corrected Regularized Correlation Filters for Visual Tracking”, International Conference on Tools with Artificial Intelligence (ICTAI), 2019.
Xiaoru Liu, Jing Wu, Chengnian Long*, “RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression”, The 26th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network, 2019.
Yinan Ma, Jing Wu, Chengnian Long*, “DasNet: Dynamic Adaptive Structure for Accelerating Multi-Task Convolutional Neural Network”, The 26th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network, 2019.
Yan Huang, Jing Wu, Chengnian Long*, Drugledger: A Practical Blockchain System for Drug Traceability and Regulation, in The 2018 IEEE International Conference on Blockchain (Blockchain-2018), July 30-August 3, 2018, Halifax, Canada.
Shaowei Liu, Chengnian Long*, Jing Wu, IoT Meets Blockchain: Parallel Distributed Architecture for Data Storage and Sharing, in The 2018 IEEE International Conference on Blockchain (Blockchain-2018), July 30-August 3, 2018, Halifax, Canada.
Xirui Fan, Jing Wu, Chengnian Long*, Yanmin Zhu, “Accurate and Low-cost Mobile Indoor Localization with 2-D Magnetic Fingerprints, First ACM Workshop on Mobile Crowdsensing Systems and Applications in ACM Sensys, Delft, Netherlands, November 5-8, 2017.
Guangshan Wen, Jing Wu, Chengnian Long*, Yi-Bing Lin, “Light-weight Global Feature for Mobile Clothing Search, 3rd EAI International Conference on IoT as a Service, TaiChung, Taiwan, September 20-22, 2017.
Rui Huang, Jing Wu, Chengnian Long*, Yanmin Zhu, Yi-Bing Lin, “Mitigate the Obstructing Effect of Vehicles on the Propagation of VANETs Safety-related Information, IEEE Intelligent Vehicles Symposium, Crown Plaza, Redondo Beach, CA, USA, June 11-14, 2017.
Juan Li, Yanmin Zhu, Jiadi Yu, Chengnian Long, Guangtao Xue, Shiyou Qian, “Online Auction for IaaS Clouds: towards Elastic User Demands and Weighted Heterogeneous VMs,” IEEE Infocom, Atlanta, GA, USA, May 1-4, 2017.
Wenneng Ma, Jing Wu, Chengnian Long* and Yanmin Zhu, “HiHeading: Smartphone-based Indoor Map Construction System with High Accuracy Heading Inference,” in 11th International conference on Mobile Ad-hoc and Sensor Networks, Shenzhen, pp. 172–177, Dec. 2015.
Qiang Wang, Pu Zhou, Jing Wu and Chengnian Long*, “RaFFD: Resource-Aware Fast Foreground Detection in Embedded Smart Cameras,” in Proceedings of IEEE Globecom, USA, Dec. 2012.
Qiang Wang, Jing Wu, Chengnian Long* and Bo Li, “P-FAD: Real-Time Face Detection Scheme on Embedded Smart Cameras,” in ACM/IEEE International Conference on Distributed Smart Camera (ICDSC), pp. 481–486, Hongkong, Oct. 2012.
获奖

1) Second Prize of National Natural Science Award, China, 2018
2) The First Prize of University Natural Science Award, Ministry of Education, China, 2016
3) New Century Excellent Talents, Ministry of Education, 2011
4) SMC Excellent Young Staff (B), Shanghai Jiao Tong University, 2010
5) Pujiang Scholar, The Commission of Science and Technology of Shanghai Municipal,2009
6) Killam Postdoctoral Fellowship, University of Alberta, 2007-2008
7) The First Prize of University Natural Science Award, Ministry of Education, China, 2007
教授课程

1. 2009年-至今，数字程序控制系统，自动化专业大四学生
2. 2018年-至今，计算机网络，自动化专业大四学生
小组成员

Professional Affiliations
l Editor, IEEE Blockchain Technical Briefs
lIEEESeniorMember, ACM Member
l Executive Director, Intelligent Manufacturing and Service Branch of China Creative Studies Institute
l Member, Cyber Security Committee for Industrial Control Systems, Chinese Association of Automation
l Member, Blockchain Comminttee, Chinese Association of Automation