Hi šŸ‘‹ I’m Hong Jia

Research Associate
University of Cambridge
       


I am a research associate at the University of Cambridge working with Prof. Cecilia Mascolo. My work enables efficient ML and AI to make the most out of real-world data (e.g. timeseries, audio, images, radio, mobile sensors, or other modalities) on mobile and IoT/edge devices. I am particularly interested in the following paradigms:

  • Mobile computing/sensing. Mobility, interactivity, context awareness or security -- What are their limits?
  • On device learning. Resource constraints, robustness or low latency -- How to run models efficiently?
  • Model adaptation and generalization. Test time adaptation, domain adaptation or personalization -- How to update the model?

Previously, I completed a PhD in Computer Science at the The University of New South Wales working with Prof. Wen Hu. I was an Australian Government Research Training Program (RTP) scholarship holder between 2017-2021.

šŸ“– Publications


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 Wang
ACM Transactions on Sensor Networks
TOSN 2023
, 0(661)

Spectral-Loc: Indoor Localization using Light Spectral Information

Yanxiang Wang, Jiawei Hu, Hong Jia, Ashraf Uddin, Kusy, Brano, Moustafa Youssef, Mahbub Hassan, Wen Hu
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT/UbiComp 2023 (to appear)

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 Vu
The 28th Annual International Conference on Mobile Computing And Networking
Mobicom 2022
, 0(661)

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, 14(8)

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
, 12 (7956)

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
, 0(832)
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
, 0(832)

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, 24(6)

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, 170(1)

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, 32(1)

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
, 4(1)

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, 41(1)

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
, 0(422)

Design of a Novel Force Feedback Master Manipulator

Hong Jia, Yunxiang Jiang, Peng Sun, YiwenZhao
17th IFAC Symposium on System Identification
SYSID 2015
, 48(42)

Research on the Lift Characteristic of Morphing Bionic Fin Stabilizer at Zero/low Speed

Qi Zhigang, Liu Yanwen, Jia Hong
Proceedings of 2015 IEEE International Conference on Mechatronics and Automation
ICMA 2015
, 0(1374)

Mechanical and Control Design of a Hollow Modular Joint

Guoli Song, Hong Jia, Chen Chen, Peng Sun, Yiwen Zhao, and Jianda Han
International Conference on Intelligent Robotics and Applications
ICIRA 2015
, 0(24)

🧐 Academic service


TPC member: TheWebConf 2023

Session orgnizer: Earcomp, in conjunction with Ubicomp 2021

Reviewer: WWW, TMC, EWSN, IPSN, and more.

šŸ“¢ Talks


Resource and uncertainty aware event detection for microcontrollers
  • šŸ“ Mobile system lab, University of Cambridge, Cambridge, UK — April 16, 2022
Ubiquitous Fine-Grained Swing Tracking Framework via Stochastic Neural Architecture Search and Adversarial Learning
  • šŸ“ IMWUT'21, Virtual — September 22, 2021
Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Network
  • šŸ“ EWSN'21, Delft, Netherland — Febrary 18, 2021
Mobile Golf Swing Tracking Using Deep Learning with Data Fusion
  • šŸ“ Sensys'19, New York, USA — January 13, 2019

šŸŽ’ Mentoring


I find it incredibly stimulating working with university students. Some recent research projects I supervised:

  • Yanxiang Wang — Spectral information sensing (papers at Mobicom & IMWUT)
  • Jiawei Hu — Indoor light localization (paper at Mobicom)
  • Song Wei — Mobile authentication via hand biometrics (paper at IoTJ)
  • Yu (Yvonne) Wu — Weakly-supervised learning for activity timeseries (paper at ML4H)
  • Zhongru Yang — Facial authentication via RFID sensing (paper at IMWUT)
  • Mark Cardamis — Smart farming via mmWave sensing (ongoing)

I have also been a teaching assistant for the following undergraduate course: