Hongkai Wen

Orcid: 0000-0003-1159-090X

Affiliations:
  • University of Warwick, Coventry, UK
  • University of Oxford, UK (former)
  • Nanyang Technological University, Singapore (former)


According to our database1, Hongkai Wen authored at least 79 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
EV-Tach: A Handheld Rotational Speed Estimation System With Event Camera.
IEEE Trans. Mob. Comput., June, 2024

EV-Perturb: event-stream perturbation for privacy-preserving classification with dynamic vision sensors.
Multim. Tools Appl., February, 2024

TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model.
CoRR, 2024

Fast Inference Through The Reuse Of Attention Maps In Diffusion Models.
CoRR, 2024

AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Towards Neural Architecture Search through Hierarchical Generative Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SignGraph: A Sign Sequence is Worth Graphs of Nodes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Behavior-aware Sparse Trajectory Recovery in Last-mile Delivery with Multi-scale Attention Fusion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor.
CoRR, 2023

EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploiting Network Compressibility and Topology in Zero-Cost NAS.
Proceedings of the International Conference on Automated Machine Learning, 2023

Zero-Cost Operation Scoring in Differentiable Architecture Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Deployment Optimization for Shared e-Mobility Systems With Multi-Agent Deep Neural Search.
IEEE Trans. Intell. Transp. Syst., 2022

Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

High Speed Rotation Estimation with Dynamic Vision Sensors.
CoRR, 2022

GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy.
CoRR, 2022

BLOX: Macro Neural Architecture Search Benchmark and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things.
ACM Trans. Sens. Networks, 2021

Event Encryption for Neuromorphic Vision Sensors: Framework, Algorithm, and Evaluation.
Sensors, 2021

Zero-Cost Proxies Meet Differentiable Architecture Search.
CoRR, 2021

Temporal Kernel Consistency for Blind Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Securing Cyber-Physical Social Interactions on Wrist-Worn Devices.
ACM Trans. Sens. Networks, 2020

D3P: Data-driven Demand Prediction for Fast Expanding Electric Vehicle Sharing Systems.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Journey Towards Tiny Perceptual Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Efficient Indoor Positioning with Visual Experiences via Lifelong Learning.
IEEE Trans. Mob. Comput., 2019

GaitLock: Protect Virtual and Augmented Reality Headsets Using Gait.
IEEE Trans. Dependable Secur. Comput., 2019

Dense 3D Object Reconstruction from a Single Depth View.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dynamic Demand Prediction for Expanding Electric Vehicle Sharing Systems: A Graph Sequence Learning Approach.
CoRR, 2019

Efficient Human Activity Recognition Solving the Confusing Activities Via Deep Ensemble Learning.
IEEE Access, 2019

Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues.
Proceedings of the World Wide Web Conference, 2019

Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

HydraDoctor: real-time liquids intake monitoring by collaborative sensing.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks.
Int. J. Robotics Res., 2018

3D Object Dense Reconstruction from a Single Depth View.
CoRR, 2018

HealCam: Energy-efficient and privacy-preserving human vital cycles monitoring on camera-enabled smart devices.
Comput. Networks, 2018

Privacy-preserving sparse representation classification in cloud-enabled mobile applications.
Comput. Networks, 2018

CS-CNN: Enabling Robust and Efficient Convolutional Neural Networks Inference for Internet-of-Things Applications.
IEEE Access, 2018

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Shake-n-Shack: Enabling Secure Data Exchange Between Smart Wearables via Handshakes.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Deep Ensemble Learning for Human Activity Recognition Using Smartphone.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Learning 3D Scene Semantics and Structure From a Single Depth Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

VidLoc: 6-DoF Video-Clip Relocalization.
CoRR, 2017

Towards Self-supervised Face Labeling via Cross-modality Association.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

VeriNet: User Verification on Smartwatches via Behavior Biometrics.
Proceedings of the First ACM Workshop on Mobile Crowdsensing Systems and Applications, 2017

SCAN: learning speaker identity from noisy sensor data.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Leveraging User Activities and Mobile Robots for Semantic Mapping and User Localization.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
CS<sup>2</sup>-Collector: A New Approach for Data Collection in Wireless Sensor Networks Based on Two-Dimensional Compressive Sensing.
Sensors, 2016

Robust occupancy inference with commodity WiFi.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Poster Abstract: Efficient Visual Positioning with Adaptive Parameter Learning.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

NaviGlass: Indoor Localisation Using Smart Glasses.
Proceedings of the International Conference on Embedded Wireless Systems and Networks, 2016

2015
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength.
IEEE Trans. Wirel. Commun., 2015

Indoor Tracking Using Undirected Graphical Models.
IEEE Trans. Mob. Comput., 2015

Accuracy Estimation for Sensor Systems.
IEEE Trans. Mob. Comput., 2015

Robust Indoor Positioning With Lifelong Learning.
IEEE J. Sel. Areas Commun., 2015

Accurate Positioning via Cross-Modality Training.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles.
Proceedings of the 2015 International Conference on Distributed Computing in Sensor Systems, 2015

2014
Accuracy estimation for sensor networks.
PhD thesis, 2014

Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

Lightweight map matching for indoor localisation using conditional random fields.
Proceedings of the IPSN'14, 2014

Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

2013
Identification and mitigation of non-line-of-sight conditions using received signal strength.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

On Assessing the Accuracy of Positioning Systems in Indoor Environments.
Proceedings of the Wireless Sensor Networks - 10th European Conference, 2013

Comparison of Accuracy Estimation Approaches for Sensor Networks.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2013

2012
Ranking Query Answers in Probabilistic Databases: Complexity and Efficient Algorithms.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Operational transformation for orthogonal conflict resolution in real-time collaborative 2d editing systems.
Proceedings of the CSCW '12 Computer Supported Cooperative Work, 2012


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