For a complete list of my publications please see:

| Google Scholar | DBLP |

Recent Publications

Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion
Hai Wang, Shuai Wang, Li Lin, Yu Yang, Shuai Wang, Hongkai Wen.
33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.

Towards Neural Architecture Search through Hierarchical Generative Modeling.
Lichuan Xiang, Łukasz Dudziak, Mohamed S Abdelfattah, Abhinav Mehrotra, Nicholas D. Lane, Hongkai Wen.
Forty-first International Conference on Machine Learning (ICML), 2024.

EV-Tach: A Rotational Speed Estimation System with Event Camera.
Guangrong Zhao, Yiran Shen, Ning Chen, Pengfei Hu, Lei Liu, Hongkai Wen.
To appear in IEEE Transaction on Mobile Computing (TMC), 2024.

Ui-Ear: On-face Gesture Recognition Through On-ear Vibration Sensing.
Guangrong Zhao, Yiran Shen, Feng Li, Lei Liu, Lizhen Cui, Hongkai Wen.
To appear in IEEE Transaction on Mobile Computing (TMC), 2024.

Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
Hoang Pham, The-Anh Ta, Shiwei Liu, Lichuan Xiang, Dung D. Le, Hongkai Wen, Long Tran-Thanh
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras.
Guangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen, Hongkai Wen, Guohao Lan
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track), 2023.

Generating Neural Network Architectures with Conditional Graph Normalizing Flows.
Lichuan Xiang, Łukasz Dudziak, Abhinav Mehrotra, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen.
The 2023 International Conference on Automated Machine Learning (AutoML), 2023.

Exploiting Network Compressibility and Topology in Zero-Cost NAS.
Lichuan Xiang, Rosco Hunter, Łukasz Dudziak, Minghao Xu, Hongkai Wen.
The 2023 International Conference on Automated Machine Learning (AutoML), 2023. (Best Paper)

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach.
Man Luo, Bowen Du, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Mark Birkin, Hongkai Wen.
IEEE Transactions on Intelligent Transportation Systems(T-ITS), 2023.

Zero-Cost Operation Scoring in Differentiable Architecture Search.
Lichuan Xiang, Łukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen.
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.

BLOX: Micro Neural Architecture Search Benchmark and Algorithms.
Thomas C. P. Chau, Łukasz Dudziak, Hongkai Wen, Nicholas Donald Lane, Mohamed S. Abdelfattah.
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) (Datasets and Benchmarks Track, Spotlight), 2022.

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 (T-PAMI), 2022.

LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things.
Guangrong Zhao, Bowen Du, Yiran Shen, Zhenyu Lao, Lizhen Cui, Hongkai Wen.
ACM Transactions on Sensor Networks (TOSN), 2022.

Temporal Kernel Consistency for Blind Video Super-Resolution.
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen.
ICCV Workshops, 2021.

Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search.
Man Luo, Bowen Du, Konstantin Klemmer, Hongming Zhu, Hongkai Wen.
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2021.

LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things. Guangrong Zhao, Bowen Du, Yiran Shen, Zhenyu Lao, Lizhen Cui, Hongkai Wen.
ACM Transactions on Sensor Networks (TOSN) 17(3): 26:1-26:25, 2021.

Securing Cyber-Physical Social Interactions on Wrist-Worn Devices.
Yiran Shen, Bowen Du, Weitao Xu, Chengwen Luo, Bo Wei, Lizhen Cui, Hongkai Wen.
ACM Transactions on Sensor Networks (TOSN) 16(2): 19:1-19:22, 2020.

Journey Towards Tiny Perceptual Super-Resolution.
Royson Lee, Łukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen , Nicholas D. Lane.
The 16th European Conference on Computer Vision (ECCV), 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.
The 2020 International Conference on Robotics and Automation (ICRA), 2020.

Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning.
Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen.
The 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020.

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 Technology (IMWUT/UbiComp). 4(1): 21:1-21:21, 2020.

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) 41(12): 2820-2834, 2019.

Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning.
Kai Wu, Bowen Du, Man Luo, Hongkai Wen, Yiran Shen, Jianfeng Feng.
The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors.
Yanxiang Wang, Bowen Du, Yiran Shen, Kai Wu, Guangrong Zhao, Jianguo Sun, Hongkai Wen.
The 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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, John Stankovic.
The 2019 Web Conference (WWW), 2019.

Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.
Hongkai Wen, Ronald Clark, Sen Wang, Xiaoxuan Lu, Bowen Du, Wen Hu, Niki Trigoni.
IEEE Transactions on Mobile Computing (TMC) 18(4): 814-829, 2019.

GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait.
Yiran Shen, Hongkai Wen, Chengwen Luo, Weitao Xu, Tao Zhang, Wen Hu, Daniela Rus.
IEEE Transactions on Dependable and Secure Computing (TDSC) 16(3): 484-497, 2019.

Simultaneous Localization and Mapping with Ambient Electromagnetic Fields.
Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Linhai Xie, Rui Tan, Hongkai Wen, Niki Trigoni.
The 24th Annual International Conference on Mobile Computing and Networking (MobiCom), 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, Niki Trigoni.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technology (IMWUT) 1(4), 152: 1-29, 2017.

End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks.
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni.
The International Journal of Robotics Research (IJRR), 0278364917734298: 1-33, 2017.

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni.
The 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

SCAN: Learning Speaker Identity From Noisy Sets of Sensor Data.
Xiaoxuan Lu, Hongkai Wen, Sen Wang, Andrew Markham, Niki Trigoni.
The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2017.

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks.
Sen Wang, Ronald Clark, Hongkai Wen, Niki Trigoni.
The 2017 IEEE International Conference on Robotics and Automation(ICRA), 2017.

VINet: Visual-Inertial Odometry as a Sequence-to-sequence Learning.
Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni.
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.