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Hongkai Wen

I am an Associate Professor in the Department of Computer Science, University of Warwick. Before that I did both my D.Phil study and post-doctoral research at the Department of Computer Science, University of Oxford. For more information please see my website.

Recent Publications

  • Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks.
    Yanxiang Wang, Xian Zhang, Yiran Shen, Bowen Du, Guangrong Zhao, Lizhen Cui, Hongkai Wen
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

  • D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems.
    Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hakan Ferhatosmanoglu, Hongkai Wen.
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT) 4(1): 21:1-21:21, 2020
  • Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning.
    Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen
    In the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020
  • Securing Cyber-Physical Social Interactions on Wrist-Worn Devices.
    Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen.
    ACM Trans. Sens. Networks (TOSN) 16(2): 19:1-19:22, 2020
  • Journey Towards Tiny Perceptual Super-Resolution.
    Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane
    In the 16th European Conference on Computer Vision (ECCV'20), 2020
  • 3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection.
    Liang Du, Jingang Tan, Xiangyang Xue, Lili Chen, Hongkai Wen, Jianfeng Feng, Jiamao Li, Xiaolin Zhang
    In the 2020 International Conference on Robotics and Automation (ICRA'20), 2020
  • EV-Gait: Event-based Robust Gait Recognition using Dynamic Vision Sensors.
    Yanxiang Wang, Bowen Du, Yiran Shen, Kai Wu, Guangrong Zhao, Jianguo Sun and Hongkai Wen*.
    In the 2019 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'19), 2019.
  • Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
  • Chris Xiaoxuan Lu, Xuan Kan, Bowen Du, Changhao Chen, Hongkai Wen, Andrew Markham, Niki Trigoni and John Stankovic.
    In the 2019 Web Conference (WWW'19), 2019.
  • Dense 3D Object Reconstruction from a Single Depth View.
    Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen*.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
  • DeepAuth: In-situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics.
    Chris Xiaoxuan Lu, Bowen Du, Peijun Zhao, Hongkai Wen*, Yiran Shen, Andrew Markham, Niki Trigoni.
    In the 2018 International Symposium on Wearable Computers (ISWC'18), 2018.
  • Simultaneous Localization and Mapping with Ambient Electromagnetic Fields.
    Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Linhai Xie, Rui Tan, Hongkai Wen and Niki Trigoni.
    In the 24th Annual International Conference on Mobile Computing and Networking (MobiCom'18), 2018.
  • Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.
    Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu and Niki Trigoni.
    IEEE Transactions on Mobile Computing (TMC), 2018.
  • GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait.
    Yiran Shen, Hongkai Wen, Chengwen Luo, Weitao Xu, Tao Zhang, Wen Hu and Daniela Rus.
    IEEE Transactions on Dependable and Secure Computing (TDSC), 2018.
  • Shake-n-Shack: Enabling Secure Data Exchange Between Smart Wearables via Handshakes.
    Yiran Shen, Fengyuan Yang, Bowen Du, Weitao Xu, Chengwen Luo and Hongkai Wen*
    In the 2018 International Conference on Pervasive Computing and Communications (PerCom'18) , 2018.
  • Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning.
    Chris Xiaoxun Lu, Bowen Du, Hongkai Wen*, Sen Wang, Andrew Markham, Ivan Martinovic, Yiran Shen and Niki Trigoni.
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1(4), 152: pp. 1-29, 2017
  • End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks.
    Sen Wang, Ronald Clark, Hongkai Wen and Niki Trigoni.
    The International Journal of Robotics Research (IJRR), 0278364917734298: pp. 1-33, 2017.
  • VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.
    Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham and Niki Trigoni.
    In the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), 2017.
  • SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data.
    Xiaoxuan Lu, Hongkai Wen, Sen Wang, Andrew Markham and Niki Trigoni.
    In the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'17), 2017.
  • DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks.
    Sen Wang, Ronald Clark, Hongkai Wen and Niki Trigoni.
    In the 2017 IEEE International Conference on Robotics and Automation(ICRA'17) , 2017
  • VINet: Visual-Inertial Odometry as a Sequence-to-sequence Learning.
    Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham and Niki Trigoni.
    In the Thirty-First AAAI Conference on Artificial Intelligence (AAAI'17) , 2017.


  • CPHC/BCS Distinguished Dissertation Nominee, 2015
  • Australian Endeavour Research Fellowship, 2015
  • Best Paper Award, IPSN, 2014
  • Best Paper Award, EWSN, 2013


  • CS1D4 Database Systems (Warwick)
  • CS313 Mobile Robotics (Warwick)
  • CS908 Research Methods (Warwick)
  • Mobile and Sensor Networks (Oxford)


  • Associate Editor: ACM IMWUT
  • TPC Co-chair: EMDL@MobiSys'18-19
  • Demo Co-chair: EWSN'19
  • Session Chair: ACM SenSys’17
  • TPC/eTPC: IEEE DCOSS'19, ACM SenSys’17-18, ACM MM’17-18, IEEE ICPADS’17, IEEE SmartGrid-Comm’16, IEEE IQ2S’14

Dr Hongkai Wen

Associate Professor

E: hongkai.wen {at}
T: +44 (0) 24 7652 3669

Department of Computer Science
University of Warwick