Dr. Cong Wang joined the Computer Science Department of Old Dominion University as an Assistant Professor in 2017. He is also affiliated with the Center of Cybersecurity Education and Research. Cong's research focuses on exploring algorithmic solutions to address security and privacy challenges in Mobile/Cloud Computing, IoT, Machine Learning and Systems. He received his Ph.D from the Department of Electrical and Computer Engineering, Stony Brook University(16'), B. Eng in Information Engineering from the Chinese University of Hong Kong (08') and M. Sc in Electrical Engineering from Columbia University (09'). He is the recipient of COVA-CCI Cybersecurity Research and Innovation Award in 2020, ODU Cheng Fund for Innovative Research in 2020 and IEEE PERCOM Mark Weiser Best Paper Award in 2018. Prior joining ODU, he worked as a research position in the industry.

Preprint

Qiao Zhang, Cong Wang, Chunsheng Xin and Hongyi Wu, CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations, arXiv.1911.05184

Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang, Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application, arXiv.2005.12901

Selected Publications (full list)

[TPDS' 20] Cong Wang, Yuanyuan Yang and Pengzhan Zhou, Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity, Accepted to Appear in the IEEE Transactions on Parallel and Distributed Systems.

[ACM MM' 20] Liuwan Zhu, Rui Ning, Cong Wang, Chunsheng Xin and Hongyi Wu, GangSweep: Sweep out Neural Backdoors by GAN, 28th ACM International Conference on Multimedia, Seattle, WA, 2020. (Acceptance Rate: 27.8%)

[IoT-J' 20] Jiadi Liu, Songtao Guo, Yawei Shi, Liang Feng, Cong Wang Decentralized Caching Framework Towards Edge Network Based on Blockchain, IEEE Internet of Things Journal, Accepted to appear. (Impact Factor: 9.5).

[CVPR' 20] Yanru Xiao, Cong Wang and Xing Gao, Evade Deep Image Retrieval by Stashing Private Images in the Hash Space, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, 2020. (Acceptance Rate: 22%) [Code Available]

[ICDCS' 20] Pengzhan Zhou, Cong Wang, Yuanyuan Yang and Xin Wei, E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing, IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, 2020. (Acceptance Rate: 18%)

[IPDPS' 20] Cong Wang, Xin Wei, Pengzhan Zhou, Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices, IEEE International Parallel & Distributed Processing Symposium (IPDPS), New Orleans, LA, 2020.

[INFOCOM' 20] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities, IEEE International Conference on Computer Communications (INFOCOM), Beijing, China, 2020. (Acceptance Rate: 19.8%)

[CCS' 19] Xing Gao, Zhongshu Gu, Zhengfa Li, Hani Jamjoom, Cong Wang, Houdini’s Escape: Breaking the Resource Rein of Linux Control Groups, ACM Conference on Computer and Communications Security (CCS), London, UK, 2019. (Acceptance Rate: 16.2%)

[ACM MM' 19] Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang, Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop, ACM Multimedia (ACM MM), Nice, France, 2019. (Acceptance Rate: 26.5%, Oral Presentation: 9.9%)

[IJCAI' 19] Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang, Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy, International Joint Conferences on Artificial Intelligence (IJCAI), Macau, 2019. (Acceptance Rate: 17.9%)

[INFOCOM' 19] Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li, Liuwan Zhu and Hongyi Wu, CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis, IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019. (Acceptance Rate: 19.7%)

[INFOCOM' 19] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging, IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 2019. (Acceptance Rate: 19.7%)

[TMC' 19] Pengzhan Zhou, Cong Wang, Yuanyuan Yang, Static and Mobile Target k-Coverage in Wireless Rechargeable Sensor Networks, IEEE Transactions on Mobile Computing, Accepted to appear.

[IJCAI' 18] Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin and Tran Phuong, GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning, International Joint Conferences on Artificial Intelligence (IJCAI), Stockholm, Sweden, 2018. [Acceptance Rate: 20.5%]

[PERCOM' 18] Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li and Hongyi Wu, DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks, IEEE International Conference on Pervasive Computing and Communications (PERCOM), Athens, Greece, 2018. [Acceptance Rate: 16.5%, Best Paper Award 1/139]

[TMC' 18] Cong Wang, Ji Li, Yuanyuan Yang and Fan Ye, Combining Solar Energy Harvesting with Wireless Charging for Hybrid Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 17, no. 3, March 1, 2018.

[ICDCS' 17] Pengzhan Zhou, Cong Wang and Yuanyuan Yang, Leverage Target k-Coverage in Wireless Rechargeable Sensor Network, IEEE International Conference on Distributed Computing Systems, Atlanta, GA, 2017. [Acceptance Rate: 16.8%]

[ICDCS' 17] Ji Li, Cong Wang and Yuanyuan Yang, Design and Implementation of a Versatile Platform for Mobile Data Gathering in Wireless Sensor Networks, IEEE International Conference on Distributed Computing Systems, Atlanta, GA, 2017. [Acceptance Rate: 16.8%]

[TMC' 17] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, A Novel Framework of Multi-Hop Wireless Charging for Sensor Networks Using Resonant Repeaters, IEEE Transactions on Mobile Computing, vol. 16, no. 3, pp. 617-633, March 1 2017.

Before 2017

[INFOCOM' 16] Cong Wang, Ji Li, Yuanyuan Yang and Fan Ye, A hybrid framework combining solar energy harvesting and wireless charging for wireless sensor networks, IEEE International Conference on Computer Communications, San Francisco, CA, 2016. [Acceptance Rate: 18.2%]

[TMC' 16] Cong Wang, Songtao Guo and Yuanyuan Yang, An Optimization Framework for Mobile Data Collection in Energy-Harvesting Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 15, no. 12, pp. 2969-2986, Dec. 1 2016.

[TC' 16] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, A Mobile Data Gathering Framework for Wireless Rechargeable Sensor Networks with Vehicle Movement Costs and Capacity Constraints, IEEE Transactions on Computers, vol. 65, no. 8, pp. 2411-2427, Aug. 1 2016.

[TMC' 16] Songtao Guo, Yuanyuan Yang and Cong Wang, DaGCM: A Concurrent Data Uploading Framework for Mobile Data Gathering in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 15, no. 3, pp. 610-626, March 1 2016.

[ICDCS' 15] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, Improve charging capability for wireless rechargeable sensor networks using resonant repeaters, IEEE International Conference on Distributed Computing Systems, Columbus, OH, 2015. [Acceptance Rate: 12.9%]

[TMC' 15] Miao Zhao, Yuanyuan Yang and Cong Wang, Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 14, no. 4, pp. 770-785, April 1 2015.

[ICPP' 15] Yuan Gao, Cong Wang and Yuanyuan Yang, Joint Wireless Charging and Sensor Activity Management in Wireless Rechargeable Sensor Networks, IEEE International Conference on Parallel Processing, Beijing, China, 2015. [Acceptance Rate: 32 %]

[TMC' 14] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks, IEEE Transactions on Mobile Computing, vol. 13, no. 6, pp. 1283-1297, 2014.

[SECON' 14] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, Recharging schedules for wireless sensor networks with vehicle movement costs and capacity constraints, IEEE International Conference on Sensing Communication and Networking, Singapore, 2014. [Acceptance Rate 28.6%]

[TMC' 14] Songtao Guo, Cong Wang and Yuanyuan Yang, Joint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks, IEEE Transactions on Mobile Computing, vol. 13, no. 12, pp. 2836-2852, Dec. 2014.

[IPDPS' 13] Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang, Multi-vehicle coordination for wireless energy replenishment in sensor networks, IEEE International Parallel & Distributed Processing Symposium, Cambridge, MA, 2013. [Acceptance Rate 22.0%]

[INFOCOM' 13] Songtao Guo, Cong Wang and Yuanyuan Yang, Mobile data gathering with wireless energy replenishment in rechargeable sensor networks, IEEE International Conference on Computer Communications, Turin, Italy, 2013. [Acceptance Rate 17.4%]

Students

  • Ph.D. Students:
  • Yanru Xiao
  • Award

  • NSF IIS Core: CHS Small, 2020-2023, Co-PI, Total Amount: $500,000
  • Commenweath Cyber Initative, Cybersecurity Research and Innovation Funding, 2020, Lead-PI, Total Amount: $137,494
  • Cheng Fund for Innovative Research, ODU, $1,1000
  • NSF CISE Research Initiation Initiative Award (CRII), 2019-2021, $175,000, Sole-PI
  • Industry Funding for Power Optimization on Smartphone, $35000, 2017, Sole-PI

    Professional Services

  • Program Committee (Conference): INFOCOM 20', IPDPS 20', ICDCS 19', ICPADS 17'
  • Program Committee (Workshop): HealthDL@Mobisys 20'
  • Journal Review: TMC, TON, JSAC, TC, TWC, TIS, TOSN, CSUR
  • Conference Review: INFOCOM, ICDCS, IPDPS
  • Teaching

  • SPRING, CS464/564 , CS762/862
  • FALL, CS495/595