| 2026 | Mobisys | Multi-Task Mental Health Detection with Large Language Models under Class Imbalance. | Xiangyuan Xue, Tianyi Zhang, Vassilis Kostakos, Ting Dang, Hong Jia |
| 2026 | WWW | Spiking Graph Predictive Coding for Reliable OOD Generalization. | Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia |
| 2025 | Interspeech | Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition. | Jule Valendo Halim, Siyi Wang, Hong Jia, Ting Dang |
| 2025 | IROS | LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection. | Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia |
| 2025 | SENSYS | LightLLM: A Versatile Large Language Model for Predictive Light Sensing. | Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu |
| 2024 | CIKM | Untitled record | Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo |
| 2024 | HIC | ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and On-Device LLMs. | Le Fang, Shiquan Zhang, Hong Jia, Jorge Gonalves, Vassilis Kostakos |
| 2024 | HIC | Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. | Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley |
| 2024 | HIC | Enabling On-Device LLMs Personalization with Smartphone Sensing. | Shiquan Zhang, Ying Ma, Le Fang, Hong Jia, Simon D'Alfonso, Vassilis Kostakos |
| 2024 | HIC | Leveraging LLMs to Predict Affective States via Smartphone Sensor Features. | Tianyi Zhang, Songyan Teng, Hong Jia, Simon D'Alfonso |
| 2024 | ICDCS | Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. | Shenghong Cai, Yiqun Zhang, Xiaopeng Luo, Yiu-Ming Cheung, Hong Jia, Peng Liu |
| 2024 | MOBICOM | Efficient and Personalized Mobile Health Event Prediction via Small Language Models. | Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia |
| 2024 | MOBICOM | AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on Smartphone Screenshots. | Tianyi Zhang, Shiquan Zhang, Le Fang, Hong Jia, Vassilis Kostakos, Simon D'Alfonso |
| 2024 | PERCOM | UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. | Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, Cecilia Mascolo |
| 2023 | KSEM | Subspace Clustering with Feature Grouping for Categorical Data. | Hong Jia, Menghan Dong |
| 2023 | KSEM | Low Redundancy Learning for Unsupervised Multi-view Feature Selection. | Hong Jia, Jian Huang |
| 2023 | Mobisys | Ubiquitous, Secure, and Efficient Mobile Sensing Systems. | Hong Jia |
| 2023 | SENSYS | LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. | Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, Cecilia Mascolo |
| 2022 | MOBICOM | Passive light spectral indoor localization. | Jiawei Hu, Yanxiang Wang, Hong Jia, Wen Hu, Mahbub Hassan, Ashraf Uddin, Brano Kusy, Moustafa Youssef |
| 2022 | MOBICOM | PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. | Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young D. Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu |
| 2022 | MOBICOM | Indoor localization using light spectral information. | Yanxiang Wang, Jiawei Hu, Hong Jia, Wen Hu, Mahbub Hassan, Ashraf Uddin, Brano Kusy, Moustafa Youssef |
| 2021 | CIS | Spectral Ensemble Clustering with LDA-based Co-training for Multi-view Data Analysis. | Hong Jia, Zhimin Li |
| 2021 | CIS | Multi-View Clustering Analysis via Density Peak Clustering with Novel Co-Training Strategy. | Zhenghao Qiu, Hong Jia |
| 2021 | EWSN | Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. | Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu |
| 2019 | SENSYS | Mobile golf swing tracking using deep learning with data fusion: poster abstract. | Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu |
| 2018 | CIS | Ensemble Clustering with Novel Weighting Strategy. | Yao Sun, Hong Jia, Jiwu Huang |
| 2016 | IGARSS | Superpixel-based coastline extraction in SAR images with speckle noise removal. | Xiaofang Liu, Hong Jia, Liujuan Cao, Cheng Wang, Jonathan Li, Ming Cheng |
| 2014 | IJCNN | A new distance metric for unsupervised learning of categorical data. | Hong Jia, Yiu-ming Cheung |
| 2013 | PAKDD | A Unified Metric for Categorical and Numerical Attributes in Data Clustering. | Yiu-ming Cheung, Hong Jia |
| 2010 | ICANN | A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering. | Yiu-ming Cheung, Hong Jia |