Publications

You can also find my articles on my Google Scholar profile.

Selected Conference Publications

  • [CVPR 25] Can't Slow me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
    Tianyi Wang, Zichen Wang, Cong Wang*, Yuanchao Shu, Ruilong Deng, Peng Cheng, Jiming Chen
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville TN, USA code link paper link

  • [AAAI 25] Fed-DFA: Federated Distillation for Heterogeneous Model Fusion through the Adversarial Lens
    Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang*, Yuanchao Shu, Peng Cheng, Jiming Chen
    The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA paper link

  • [ACM MM 25] DeCoRec: Decoupled Collaborative Refinement for Multi-Modal Sequential Recommendations
    Zhaoqi Chen, Wanni Xu, Yunfeng Zhang, Yawei Hou, Zhenyu Wen, Cong Wang*
    ACM Multimedia Conference, Dublin, Ireland, 2025

  • [KDD 25] FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
    Zhenyu Wen, Wanglei Feng, Di Wu*, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang*, Shouling Ji
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining video link paper link

  • [ICDCS 25] Hetero2Pipe: Pipelining Multi-DNN Inference on Heterogeneous Mobile Processors under Co-Execution Slowdown
    Yuhao Shen, Zichen Wang, Tianyi Wang, Chaojie Gu, Zhenyu Wen, Yuanchao Shu, Cong Wang*
    IEEE International Conference on Distributed Computing Systems, Glasgow, UK, 2025

  • [IWQoS 24] Heterogeneity-aware memory efficient federated learning via progressive layer freezing
    Yebo Wu, Li Li, Chunlin Tian, Tao Chang, Chi Lin, Cong Wang, Cheng-Zhong Xu
    IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 2024

  • [SecureComm 23] Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval
    Yanru Xiao, Cong Wang*, Xing Gao
    International Conference on Security and Privacy in Communication Systems, 2023

  • [ICDCS 22] Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
    Cong Wang*, Bin Hu and Hongyi Wu
    IEEE International Conference on Distributed Computing Systems, 2022 paper link

  • [CVPR 21] You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-based Image Retrieval Systems
    Yanru Xiao and Cong Wang*
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 code link paper link

  • [CVPR 20] Evade Deep Image Retrieval by Stashing Private Images in the Hash Space
    Yanru Xiao, Cong Wang* and Xing Gao
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 code link paper link

  • [ACM MM 20] Gangsweep: Sweep out neural backdoors by gan
    Liuwan Zhu, Rui Ning, Cong Wang, Chunsheng Xin, Hongyi Wu
    Proceedings of the 28th ACM International Conference on Multimedia, 2020

  • [INFOCOM 20] Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities
    Pengzhan Zhou, Cong Wang and Yuanyuan Yang
    IEEE Conference on Computer Communications, Toronto, ON, Canada, 2020

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

  • [ICDCS 20] E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing
    Pengzhan Zhou, Xin Wei, Cong Wang* and Yuanyuan Yang*
    International Conference on Distributed Computing Systems (ICDCS), Singapore, 2020 paper link

  • [IJCAI 19] Explore Truthful Incentives for Tasks with Heterogenous Levels of Difficulty in the Sharing Economy
    Pengzhan Zhou, Xin Wei, Cong Wang* and Yuanyuan Yang*
    Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence paper link

  • [ACM MM 19] Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop
    Cong Wang*, Yanru Xiao, Xing Gao, Li Li, Jun Wang
    Proceedings of the 27th ACM International Conference on Multimedia, 2019

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

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

  • [INFOCOM 19] Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging
    Pengzhan Zhou, Cong Wang, Yuanyuan Yang
    IEEE Conference on Computer Communications, Paris, France, 2019

  • [IJCAI 18] GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning
    Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V Phuong
    Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence paper link

  • [PerCom 18] DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks
    Rui Ning, Cong Wang, Chunsheng Xin, Jiang Li and Hongyi Wu
    IEEE International Conference on Pervasive Computing and Communications (PerCom), Athens, Greece, 2018

  • [ICDCS 17] Leveraging Target k-Coverage in Wireless Rechargeable Sensor Network
    Pengzhan Zhou, Cong Wang and Yuanyuan Yang
    IEEE International Conference on Distributed Computing Systems, Atlanta, GA, 2017

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

  • [INFOCOM 16] A Hybrid Framework Combining Solar Energy Harvesting and Wireless Charging for Wireless Sensor Networks
    Cong Wang, Ji Li, Yuanyuan Yang and Fan Ye
    IEEE International Conference on Computer Communications, San Francisco, CA, 2016

  • [ICDCS 15] Improve Charging Capability for Wireless Rechargeable Sensor Networks using Resonant Repeaters
    Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang
    IEEE International Conference on Distributed Computing Systems, Columbus, OH, 2015

  • [ICPP 15] Joint Wireless Charging and Sensor Activity Management in Wireless Rechargeable Sensor Networks
    Yuan Gao, Cong Wang and Yuanyuan Yang
    IEEE International Conference on Parallel Processing, Beijing, China, 2015

  • [SECON 14] Recharging Schedules for Wireless Sensor Networks with Vehicle Movement Costs and Capacity Constraints
    Cong Wang, Ji Li, Fan Ye and Yuanyuan Yang
    IEEE International Conference on Sensing Communication and Networking (IEEE SECON), Singapore, 2014

  • [INFOCOM 13] Mobile Data Gathering with Wireless Energy Replenishment in Rechargeable Sensor Networks
    Songtao Guo, Cong Wang and Yuanyuan Yang
    IEEE International Conference on Computer Communications, Turin, Italy, 2013

  • Selected Journal Publications

  • [THMS 25] Human Perception of AI Capabilities at Classifying Perturbed Roadway Signs
    Katherine R Garcia, Jing Chen, Yanru Xiao, Scott Mishler, Cong Wang, Bin Hu
    IEEE Transactions on Human-Machine Systems

  • [TNNLS 25] SENGraph: A Self-Learning Evolutionary and Node-Aware Graph Network for Soft Sensing in Industrial Processes
    Feng Yan, Cong Wang, Zichen Wang, Yuhao Shen, Chunjie Yang
    IEEE Transactions on Neural Networks and Learning Systems

  • [TMC 24] Energy Optimization for Federated Learning on Consumer Mobile Devices With Asynchronous SGD and Application Co-Execution
    Cong Wang, Hongyi Wu
    IEEE Transactions on Mobile Computing

  • [ACM TOIT 24] Efficient Vertical Federated Unlearning via Fast Retraining
    Zichen Wang, Xiangshan Gao, Cong Wang, Peng Cheng, Jiming Chen
    ACM Transactions on Internet Technology

  • [JPDC 24] PerfTop: Towards performance prediction of distributed learning over general topology
    Changzhi Yan, Zehan Zhu, Youcheng Niu, Cong Wang, Cheng Zhuo, Jinming Xu
    Journal of Parallel and Distributed Computing

  • [TMC 23] A Framework for Behavioral Biometric Authentication using Deep Metric Learning on Mobile Devices
    Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
    IEEE Transactions on Mobile Computing paper link

  • [TMC 23] Design and Optimization of Solar-Powered Shared Electric Autonomous Vehicle System for Smart Cities
    Pengzhan Zhou, Cong Wang, Yuanyuan Yang
    IEEE Transactions on Mobile Computing

  • [TOSN 22] Economical behavior modeling and analyses for data collection in edge Internet of Things networks
    Yiming Zeng, Pengzhan Zhou, Cong Wang, Ji Liu, Yuanyuan Yang
    ACM Transactions on Sensor Networks

  • [TPDS 21] Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity
    Cong Wang, Yuanyuan Yang, Pengzhan Zhou
    IEEE Transactions on Parallel and Distributed Systems paper link

  • [TC 21] K-level truthful incentivizing mechanism and generalized k-MAB problem
    Pengzhan Zhou, Xin Wei, Cong Wang, Yuanyuan Yang
    IEEE Transactions on Computers

  • [TOSN 21] Design of Self-sustainable Wireless Sensor Networks with Energy Harvesting and Wireless Charging
    Pengzhan Zhou, Cong Wang, Yuanyuan Yang
    ACM Transactions on Sensor Networks

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

  • [TMC 18] Combining Solar Energy Harvesting with Wireless Charging for Hybrid Wireless Sensor Networks
    Cong Wang, Ji Li, Yuanyuan Yang, Fan Ye
    IEEE Transactions on Mobile Computing

  • [TMC 17] A Novel Framework of Multi-Hop Wireless Charging for Sensor Networks Using Resonant Repeaters
    Cong Wang, Ji Li, Fan Ye, Yuanyuan Yang
    IEEE Transactions on Mobile Computing

  • [TMC 16] An Optimization Framework for Mobile Data Collection in Energy-Harvesting Wireless Sensor Networks
    Cong Wang, Songtao Guo, Yuanyuan Yang
    IEEE Transactions on Mobile Computing

  • [TC 16] A Mobile Data Gathering Framework for Wireless Rechargeable Sensor Networks with Vehicle Movement Costs and Capacity Constraints
    Cong Wang, Ji Li, Fan Ye, Yuanyuan Yang
    IEEE Transactions on Computers

  • [TMC 16] DaGCM: A Concurrent Data Uploading Framework for Mobile Data Gathering in Wireless Sensor Networks
    Songtao Guo, Yuanyuan Yang, Cong Wang
    IEEE Transactions on Mobile Computing

  • [TMC 15] Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Networks
    Miao Zhao, Yuanyuan Yang, Cong Wang
    IEEE Transactions on Mobile Computing

  • [TMC 14] NETWRAP: An NDN Based Real-TimeWireless Recharging Framework for Wireless Sensor Networks
    Cong Wang, Ji Li, Fan Ye, Yuanyuan Yang
    IEEE Transactions on Mobile Computing

  • [TMC 14] Joint Mobile Data Gathering and Energy Provisioning in Wireless Rechargeable Sensor Networks
    Songtao Guo, Cong Wang, Yuanyuan Yang
    IEEE Transactions on Mobile Computing