My work focus on Mobile Sensing Systems and Edge AI, including:
- Mobile Sensing Systems. Designing novel human-centered sensing modalities and systems to enhance interactivity, healthcare, security and localization.
- Edge Computing. Designing novel software and AI algorithm co-design systems for ultra-low power edge computing, and on-chip continual learning.
News!
2023/09, Our paper "LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms" has been accepted by SenSys 2023 (Acceptance rate: 18.9%). 2023/08, Reviewer/TPC for NeurIPS, TMC, TheWebConf, EWSN, UbiComp, IPSN etc. 2023/07, Our paper "Iris: Passive Visible Light Positioning using Light Spectral Information" has been accepted by IMWUT/UbiComp 2023. 2023/07, Our paper UDAMA: Unsupervised Domain Adaptation Through Multi Discriminator Adversarial Training With Noisy Labels Improves Cardio Fitness Prediction has been accepted by MLHC 2023 . 2023/06, Talk at MobiSys'23 with the topic "Ubiquitous, Secure, and Efficient Mobile Sensing Systems". 2023/05, I was selected as the ACM MobiSys Rising Star (2023) . 2023/02, Our paper Subject-Adaptive Loss-Fitting Smart Garment Platform for Human Activity Recognition has been accepted by TOSN 2023 . 2023/01, Our paper on indoor localization Spectral-Loc: Indoor Localization using Light Spectral Information has been accepted by IMWUT/Ubicomp 2023. 2022/12, Our paper Pistis: Replay Attack and Liveness Detection for Gait-based User Authentication System on Wearable Devices Using Vibration has been accepted by IEEE Internet of Things Journal. 2022/11, Our paper Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction on domain adaptation has been accepted in ML4H 2022 (co-located with NeurIPS 2022). 2022/10, Our poster paper Passive Light Spectral Indoor Localization has been awarded as the Best Poster Runner-up Award by MobiCom 2022. 2022/09, Our paper PROS: An Efficient Pattern-Driven Compressive Sensing Framework For Low Power Biopotential-Based Wearables With On-Chip Intelligence has been accepted by MobiCom 2022! (Acceptance rate: 17.8%). 2022/08, Our poster papers Indoor localization using light spectral information and Passive Light Spectral Indoor Localization has been accepted by MobiCom 2022.Selected Publications (last 3 years)
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia MascoloThe 21th ACM Conference on Embedded Networked Sensor Systems
SenSys 2023 (Core Ranking A*)
Iris: Passive Visible Light Positioning using Light Spectral Information
Jiawei Hu, Yanxiang Wang, Hong Jia, Ashraf Uddin, Kusy, Brano, Moustafa Youssef, Mahbub Hassan, Wen HuProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT/UbiComp 2023 (Core Ranking A*)
UDAMA: Unsupervised Domain Adaptation Through Multi Discriminator Adversarial Training With Noisy Labels Improves Cardio Fitness Prediction
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage,
Nicholas Wareham, Cecilia Mascolo
Machine Learning for Healthcare
MLHC
2023
Subject-Adaptive Loss-Fitting Smart Garment Platform for Human Activity Recognition
Qi Lin, Shuhua Peng, Yuezhong Wu, Jun Liu, Hong Jia, Wen Hu, Mahbub Hassan, Aruna Seneviratne, Chun H WangACM Transactions on Sensor Networks
TOSN 2023 (Core Ranking A*)
Spectral-Loc: Indoor Localization using Light Spectral Information
Yanxiang Wang, Jiawei Hu, Hong Jia, Ashraf Uddin, Kusy, Brano, Moustafa Youssef, Mahbub Hassan, Wen HuProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT/UbiComp 2023 (Core Ranking A*)
PROS: An Efficient Pattern-Driven Compressive Sensing Framework For Low Power Biopotential-Based Wearables With On-Chip Intelligence
Nhat Pham, Hong Jia, Minh Tran1, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, Phuc Nguyen6, Cecilia Mascolo, and Tam VuThe 28th Annual International Conference on Mobile Computing And Networking
Mobicom 2022 (Core Ranking A*)
Pistis: Replay Attack and Liveness Detection for Gait-based User Authentication System on Wearable Devices Using Vibration
Wei Song, Hong Jia, Min Wang, Yuezhong Wu, Wanli Xue, Chun Tung Chou, Jiankun Hu, Wen Hu
IEEE Internet of Things Journal
IoTJ 2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage,
Nicholas Wareham, Cecilia Mascolo
Machine Learning for Health
ML4H
2022
SwingNet: Ubiquitous Fine-Grained Swing Tracking Framework via Stochastic Neural Architecture Search and Adversarial Learning
Hong Jia, Jiawei Hu, Wen Hu
Proceedings of the ACM on Interactive, Mobile, Wearable
and Ubiquitous Technologies IMWUT/UbiComp 2021 (Core Ranking A*)
RFaceID: Towards RFID-based Facial Recognition
Chengwen Luo, Zhongru Yang, Xingyu Feng, Jin Zhang, Hong Jia, Jianqiang Li, Jiawei Wu, Wen
Hu
Proceedings of the ACM on
Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT/UbiComp
2021 (Core Ranking A*)
Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area Networks
Yuezhong Wu, Qi Lin, Hong Jia, Mahbub Hassan, Wen Hu
Proceedings of the ACM on Interactive, Mobile,
Wearable and Ubiquitous Technologies IMWUT/UbiComp 2021 (Core Ranking A*)
Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Network
Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu
Proceedings of the 2021 International
Conference on Embedded Wireless Systems and Networks
EWSN 2021
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KEHKey: Kinetic Energy Harvester-based Authentication and Key Generation for Body Area Network
Qi Lin, Weitao Xu, Guohao Lan, Yesheng Cui, Hong Jia, Wen Hu, Mahbub Hassan, Aruna Seneviratne
Proceedings of the ACM on Interactive, Mobile, Wearable
and Ubiquitous Technologies IMWUT/UbiComp 2020 (Core Ranking A*)
Posters, Abstracts and Demos
Ubiquitous, Secure, and Efficient Mobile Sensing Systems
Hong JiaACM International Conference on Mobile Systems, Applications, and Services
MobiSys 2023 (Core Ranking A*)
Passive Light Spectral Indoor Localization
Jiawei Hu, Yanxiang Wang, Hong Jia, Wen Hu, Mahbub Hassan, Ashraf Uddin, Brano Kusy, Moustafa
Youssef
The 28th Annual International
Conference on Mobile Computing And Networking
Mobicom 2022 (Core Ranking A*)
Best Poster Runner-up Award
Indoor Localization using Light Spectral Information
Yanxiang Wang, Jiawei Hu, Hong Jia, Wen Hu, Mahbub Hassan, Ashraf Uddin, Brano Kusy, Moustafa
Youssef
The 28th Annual International Conference on Mobile
Computing And Networking
Mobicom 2022 (Core Ranking A*)
Poster: Mobile Golf Swing Tracking Using Deep Learning with Data Fusion
Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu
Proceedings of the 17th Conference on
Embedded Networked Sensor Systems
Sensys 2019 (Core Ranking A*)
Patents
A Training Device for Minimally Invasive Spine Surgery with Force Feedback.
Jianda Han, Guoli Song, Hong Jia, Yiwen Zhao, Yunxiang Jiang.
National Invention Patent, CN201520076954
A Training Method and Device for the Minimally Invasive Spine Surgery with Force Feedback.
Jianda Han, Guoli Song, Hong Jia, Yiwen Zhao, Yunxiang Jiang.
National Invention Patent, CN201520076954
Academic Service
TPC member: TheWebConf 2023
Session orgnizer: Earcomp, in conjunction with Ubicomp 2021
Reviewer: NeurIPS 2023, WWW 2023, TMC 2023, 2022, EWSN 2020, 2021, IPSN 2020, 2021, and more.
Talks
Ubiquitous, Secure and Efficient Mobile Sensing Systems
- 📍 MobiSys'23, Helsinki, Finland — June 19, 2023
- 📍 Mobile System Lab, University of Cambridge, Cambridge, UK — April 16, 2022
- 📍 IMWUT'21, Virtual — September 22, 2021
- 📍 EWSN'21, Delft, Netherland — Febrary 18, 2021
- 📍 Sensys'19, New York, USA — January 13, 2019
Advising
Recent research projects I supervised:
- Yu (Yvonne) Wu (Cambridge) — Weakly-supervised learning for activity timeseries (paper at ML4H'22 & MLHC'23; Travel Award (by DeepMind) MLHC'23)
- Yanxiang Wang (UNSW) — Spectral information sensing (papers at Mobicom'22 & IMWUT'23)
- Jiawei Hu (UNSW) — Indoor light localization (paper at Mobicom'22 & IMWUT'23)
- Song Wei (UNSW) — Mobile authentication via hand biometrics (paper at IoTJ'22)
- Mark Cardamis (UNSW) — Smart farming via mmWave sensing (ongoing)
- Zhongru Yang (SZU) — Facial authentication via RFID sensing (paper at IMWUT'21)
I have also been a teaching assistant for the following BSc/MSc courses: