Hong Jia

Orcid: 0000-0002-6047-4158

According to our database1, Hong Jia authored at least 104 papers between 2006 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data.
CoRR, May, 2026

Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language Models.
CoRR, May, 2026

Why Can't They Remember? Uncovering Representation and Retrieval Bottlenecks in Multi-Turn Acoustic Memory.
CoRR, May, 2026

NarrativeSense: Predicting Affective States in University Students through Smartphone Sensing and Contextual Narratives.
ACM Trans. Comput. Heal., April, 2026

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots.
CoRR, April, 2026

Localizing and Editing Knowledge in Large Audio-Language Models.
CoRR, March, 2026

Edge-Cloud Collaborative Speech Emotion Captioning via Token-Level Speculative Decoding in Audio-Language Models.
CoRR, March, 2026

Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction.
CoRR, March, 2026

LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge.
CoRR, February, 2026

HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation.
CoRR, February, 2026

Rethinking Perplexity: Revealing the Impact of Input Length on Perplexity Evaluation in LLMs.
CoRR, February, 2026

Decoding Ambiguous Emotions with Test-Time Scaling in Audio-Language Models.
CoRR, February, 2026

CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation Steering.
CoRR, February, 2026

Test-Time Adaptation for Speech Emotion Recognition.
CoRR, January, 2026

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs.
CoRR, January, 2026

A cascade framework for on-device uncertainty-aware event detection on microcontrollers.
Pervasive Mob. Comput., 2026

From prediction to explanation: Using screen text to understand smartphone use and user behaviour.
Int. J. Hum. Comput. Stud., 2026

Spiking Graph Predictive Coding for Reliable OOD Generalization.
Proceedings of the ACM Web Conference 2026, 2026

Multi-Task Mental Health Detection with Large Language Models under Class Imbalance.
Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

2025
Menta: A Small Language Model for On-Device Mental Health Prediction.
CoRR, December, 2025

Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning.
CoRR, September, 2025

HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring.
CoRR, September, 2025

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding.
CoRR, July, 2025

Leafeon: Toward Accurate Sensing of Leaf Water Content for Protected Cropping With mmWave Radar.
IEEE Internet Things J., June, 2025

XTransfer: Cross-Modality Model Transfer for Human Sensing with Few Data at the Edge.
CoRR, June, 2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.
CoRR, June, 2025

Scaling Auditory Cognition via Test-Time Compute in Audio Language Models.
CoRR, March, 2025

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices.
CoRR, March, 2025

Foundation Models for Anomaly Detection: Vision and Challenges.
CoRR, February, 2025

Categorical Data Clustering via Value Order Estimated Distance Metric Learning.
Proc. ACM Manag. Data, 2025

Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction.
Future Internet, 2025

Foundation Models for Anomaly Detection: Vision and Challenges.
AI Mag., 2025

DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions.
IEEE Access, 2025

LightLLM: A Versatile Large Language Model for Predictive Light Sensing.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations.
Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Behavioral Indicators of Loneliness: Predicting University Students' Loneliness Scores from Smartphone Sensing Data.
Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

WellComp 2025: Eighth International Workshop on Computing and Software Systems for Well-Being.
Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

2024
Distinguishing the Multifactorial Impacts on Ecosystem Services under the Long-Term Ecological Restoration in the Gonghe Basin of China.
Remote. Sens., July, 2024

2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching.
Remote. Sens., July, 2024

Multimodal Large Language Models in Human-Centered Health: Practical Insights.
IEEE Pervasive Comput., 2024

Order Is All You Need for Categorical Data Clustering.
CoRR, 2024

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.
CoRR, 2024

ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and on-device LLM.
CoRR, 2024

GlauSeg-Net: Retinal Fundus Medical Image Automatic Segmentation With Multi-Task Learning for Glaucoma Early Screening.
IEEE Access, 2024

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on Smartphone Screenshots.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Efficient and Personalized Mobile Health Event Prediction via Small Language Models.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

LiDARSpectra: Synthetic Indoor Spectral Mapping with Low-cost LiDARs.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Multi-view Clustering Based on Collaborative Reconstruction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Long-Tailed Recognition Based on Self-attention Mechanism.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Leveraging LLMs to Predict Affective States via Smartphone Sensor Features.
Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

Enabling On-Device LLMs Personalization with Smartphone Sensing.
Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health.
Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and On-Device LLMs.
Proceedings of the Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024

<i>StatioCL</i>: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Subject-adaptive Loose-fitting Smart Garment Platform for Human Activity Recognition.
ACM Trans. Sens. Networks, November, 2023

Iris: Passive Visible Light Positioning Using Light Spectral Information.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai-Tibet Plateau Using Machine Learning Methods.
Remote. Sens., July, 2023

Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks.
Digit. Commun. Networks, April, 2023

Spectral-Loc: Indoor Localization Using Light Spectral Information.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

Penalized logistic regressions with technical indicators predict up and down trends.
Soft Comput., 2023

Pistis: Replay Attack and Liveness Detection for Gait-Based User Authentication System on Wearable Devices Using Vibration.
IEEE Internet Things J., 2023

LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Ubiquitous, Secure, and Efficient Mobile Sensing Systems.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Low Redundancy Learning for Unsupervised Multi-view Feature Selection.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Subspace Clustering with Feature Grouping for Categorical Data.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction.
CoRR, 2022

Indoor localization using light spectral information.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Passive light spectral indoor localization.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Clustering Algorithm with Learnable Distance for Categorical Data with Nominal and Ordinal Attributes.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

Unsupervised Feature Selection via Adaptive Feature Clustering for High-dimensional Data.
Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

3D Point Cloud and BIM Component Retrieval for Subway Stations via Deep Learning.
Proceedings of CECNet 2022, 2022

Unsupervised Feature Selection Based on 3-D Feature Decision Graph for High-dimensional Data.
Proceedings of the 5th International Conference on Algorithms, 2022

Multi-view Graph Learning with Fuzzy Linear Discriminant Analysis.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
SwingNet: Ubiquitous Fine-Grained Swing Tracking Framework via Stochastic Neural Architecture Search and Adversarial Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

RFaceID: Towards RFID-based Facial Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks.
Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021

Multi-View Clustering Analysis via Density Peak Clustering with Novel Co-Training Strategy.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

Spectral Ensemble Clustering with LDA-based Co-training for Multi-view Data Analysis.
Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020
Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area Networks.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

KEHKey: Kinetic Energy Harvester-based Authentication and Key Generation for Body Area Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2019
Mobile golf swing tracking using deep learning with data fusion: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018
Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters.
IEEE Trans. Neural Networks Learn. Syst., 2018

Ensemble Clustering with Novel Weighting Strategy.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2016
A New Distance Metric for Unsupervised Learning of Categorical Data.
IEEE Trans. Neural Networks Learn. Syst., 2016

Superpixel-based coastline extraction in SAR images with speckle noise removal.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Mechanical and Control Design of a Hollow Modular Joint.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
Cooperative and penalized competitive learning with application to kernel-based clustering.
Pattern Recognit., 2014

A Method of Case Retrieval for Web-based Remote Customization Platform.
J. Networks, 2014

A new distance metric for unsupervised learning of categorical data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number.
Pattern Recognit., 2013

A Unified Metric for Categorical and Numerical Attributes in Data Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Feature Weighted Kernel Clustering with Application to Medical Data Analysis.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
Unsupervised Feature Selection with Feature Clustering.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

2010
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2006
Product Model Data Exchange Technology of Heterogeneous Systems in Collaborative Design Environment.
Proceedings of the 16th International Conference on Artificial Reality and Telexistence, 2006

The Evaluation of Parallel FEM Techniques Based on Graph Partitioning.
Proceedings of the 16th International Conference on Artificial Reality and Telexistence, 2006


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