The Evaluation of Parallel FEM Techniques Based on Graph Partitioning. - Guobin Zhou; Hong Jia; Yanlin Lu (ICAT Workshops, 2006)

Product Model Data Exchange Technology of Heterogeneous Systems in Collaborative Design Environment. - Xiao Zhou; Hong Jia; Yanlin Lu; Wei-long Ding (ICAT Workshops, 2006)

A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering. - Yiu-ming Cheung; Hong Jia (ICANN (3), 2010)

Unsupervised Feature Selection with Feature Clustering. - Yiu-ming Cheung; Hong Jia (Web Intelligence, 2012)

Feature Weighted Kernel Clustering with Application to Medical Data Analysis. - Hong Jia; Yiu-ming Cheung (Brain and Health Informatics, 2013)

A Unified Metric for Categorical and Numerical Attributes in Data Clustering. - Yiu-ming Cheung; Hong Jia (PAKDD (2), 2013)

Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number. - Yiu-ming Cheung; Hong Jia (Pattern Recognit., 2013)

A new distance metric for unsupervised learning of categorical data. - Hong Jia; Yiu-ming Cheung (IJCNN, 2014)

A Method of Case Retrieval for Web-based Remote Customization Platform. - Yuhuai Wang; Hong Jia; Xiaojing Zhu (J. Networks, 2014)

Cooperative and penalized competitive learning with application to kernel-based clustering. - Hong Jia; Yiu-ming Cheung; Jiming Liu 001 (Pattern Recognit., 2014)

Mechanical and Control Design of a Hollow Modular Joint. - Guoli Song; Hong Jia; Chen Chen; Peng Sun; Yiwen Zhao; Jianda Han (ICIRA (2), 2015)

Superpixel-based coastline extraction in SAR images with speckle noise removal. - Xiaofang Liu; Hong Jia; Liujuan Cao; Cheng Wang 003; Jonathan Li 001; Ming Cheng 002 (IGARSS, 2016)

A New Distance Metric for Unsupervised Learning of Categorical Data. - Hong Jia; Yiu-ming Cheung; Jiming Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Ensemble Clustering with Novel Weighting Strategy. - Yao Sun; Hong Jia; Jiwu Huang (CIS, 2018)

Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters. - Hong Jia; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2018)

Mobile golf swing tracking using deep learning with data fusion: poster abstract. - Hong Jia; Yuezhong Wu; Jun Liu 074; Lina Yao 001; Wen Hu 001 (SenSys, 2019)

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 001; Mahbub Hassan; Aruna Seneviratne (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

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 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Spectral Ensemble Clustering with LDA-based Co-training for Multi-view Data Analysis. - Hong Jia; Zhimin Li (CIS, 2021)

Multi-View Clustering Analysis via Density Peak Clustering with Novel Co-Training Strategy. - Zhenghao Qiu; Hong Jia (CIS, 2021)

Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. - Hong Jia; Jun Liu 074; Yuezhong Wu; Tomasz Bednarz; Lina Yao 001; Wen Hu 001 (EWSN, 2021)

RFaceID: Towards RFID-based Facial Recognition. - Chengwen Luo 001; Zhongru Yang; Xingyu Feng; Jin Zhang 013; Hong Jia; Jianqiang Li 001; Jiawei Wu; Wen Hu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

SwingNet: Ubiquitous Fine-Grained Swing Tracking Framework via Stochastic Neural Architecture Search and Adversarial Learning. - Hong Jia; Jiawei Hu; Wen Hu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Multi-view Graph Learning with Fuzzy Linear Discriminant Analysis. - Hong Jia; Jian Huang (ACAI, 2022)

Unsupervised Feature Selection Based on 3-D Feature Decision Graph for High-dimensional Data. - Hong Jia; Yubin Weng (ACAI, 2022)

3D Point Cloud and BIM Component Retrieval for Subway Stations via Deep Learning. - Yongfei Shi; Wei Ye; Bo Qu; Hong Jia; Zhanying Fu; Xinming Lv; Chenglu Wen; Weiquan Liu (CECNet, 2022)

Unsupervised Feature Selection via Adaptive Feature Clustering for High-dimensional Data. - Hong Jia; Yubin Weng (DSIT, 2022)

Clustering Algorithm with Learnable Distance for Categorical Data with Nominal and Ordinal Attributes. - Hong Jia; Weiwei Zhong (DSIT, 2022)

Passive light spectral indoor localization. - Jiawei Hu; Yanxiang Wang; Hong Jia; Wen Hu 001; Mahbub Hassan; Ashraf Uddin 002; Brano Kusy; Moustafa Youssef 001 (MobiCom, 2022)

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 Kwon; Dong Ma 001; Phuc Nguyen 002; Cecilia Mascolo; Tam Vu 001 (MobiCom, 2022)

Indoor localization using light spectral information. - Yanxiang Wang; Jiawei Hu; Hong Jia; Wen Hu 001; Mahbub Hassan; Ashraf Uddin 002; Brano Kusy; Moustafa Youssef 001 (MobiCom, 2022)

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Subspace Clustering with Feature Grouping for Categorical Data. - Hong Jia; Menghan Dong (KSEM (1), 2023)

Low Redundancy Learning for Unsupervised Multi-view Feature Selection. - Hong Jia; Jian Huang (KSEM (1), 2023)

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (MLHC, 2023)

Ubiquitous, Secure, and Efficient Mobile Sensing Systems. - Hong Jia (MobiSys, 2023)

LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. - Young D. Kwon; Jagmohan Chauhan; Hong Jia; Stylianos I. Venieris; Cecilia Mascolo (SenSys, 2023)

Pistis: Replay Attack and Liveness Detection for Gait-Based User Authentication System on Wearable Devices Using Vibration. - Wei Song; Hong Jia; Min Wang 009; Yuezhong Wu; Wanli Xue; Chun Tung Chou; Jiankun Hu; Wen Hu 001 (IEEE Internet Things J., 2023)

Penalized logistic regressions with technical indicators predict up and down trends. - Huifeng Jiang; Xuemei Hu; Hong Jia (Soft Comput., 2023)

Spectral-Loc: Indoor Localization Using Light Spectral Information. - Yanxiang Wang; Jiawei Hu; Hong Jia; Wen Hu 001; Mahbub Hassan; Ashraf Uddin 002; Brano Kusy; Moustafa Youssef 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks. - Lingwei Xu; Hao Yin; Hong Jia; Wenzhong Lin; Xinpeng Zhou; Yong Fu; Xu Yu 001 (Digit. Commun. Networks, 2023)

Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai-Tibet Plateau Using Machine Learning Methods. - Rui Wang; Lanlan Guo; Yuting Yang; Hao Zheng; Lianyou Liu; Hong Jia; Baijian Diao; Jifu Liu (Remote. Sens., 2023)

Iris: Passive Visible Light Positioning Using Light Spectral Information. - Jiawei Hu; Yanxiang Wang; Hong Jia; Wen Hu 001; Mahbub Hassan; Brano Kusy; Ashraf Uddin 002; Moustafa Youssef 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Subject-adaptive Loose-fitting Smart Garment Platform for Human Activity Recognition. - Qi Lin; Shuhua Peng; Yuezhong Wu; Jun Liu 074; Hong Jia; Wen Hu 001; Mahbub Hassan; Aruna Seneviratne; Chun Hui Wang (ACM Trans. Sens. Networks, 2023)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CIKM, 2024)

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. - Shenghong Cai; Yiqun Zhang 006; Xiaopeng Luo; Yiu-Ming Cheung; Hong Jia; Peng Liu (ICDCS, 2024)

Long-Tailed Recognition Based on Self-attention Mechanism. - Zekai Feng; Hong Jia; Mengke Li 001 (ICIC (LNAI 2), 2024)

Multi-view Clustering Based on Collaborative Reconstruction. - Kailing Zhou; Hong Jia (ICIC (LNAI 1), 2024)

LiDARSpectra: Synthetic Indoor Spectral Mapping with Low-cost LiDARs. - Jiawei Hu; Yanxiang Wang; Hong Jia; Cheng Jiang; Mahbub Hassan; Brano Kusy; Wen Hu 001 (IPSN, 2024)

Efficient and Personalized Mobile Health Event Prediction via Small Language Models. - Xin Wang; Ting Dang; Vassilis Kostakos; Hong Jia (MobiCom, 2024)

AutoJournaling: A Context-Aware Journaling System Leveraging MLLMs on Smartphone Screenshots. - Tianyi Zhang; Shiquan Zhang; Le Fang; Hong Jia; Vassilis Kostakos; Simon D'Alfonso (MobiCom, 2024)

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices. - Hong Jia; Young Kwon; Alessio Orsino; Ting Dang; Domenico Talia; Cecilia Mascolo (NeurIPS, 2024)

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. - Hong Jia; Young D. Kwon; Dong Ma 001; Nhat Pham; Lorena Qendro; Tam Vu 001; Cecilia Mascolo (PerCom, 2024)

GlauSeg-Net: Retinal Fundus Medical Image Automatic Segmentation With Multi-Task Learning for Glaucoma Early Screening. - Shuting Chen; Dezhi Wei; Chengxi Hong; Li Li; Xiuliang Qiu; Hong Jia (IEEE Access, 2024)

ScreenTK: Seamless Detection of Time-Killing Moments Using Continuous Mobile Screen Text and on-device LLM. - Le Fang; Shiquan Zhang; Hong Jia; Jorge Gonçalves 001; Vassilis Kostakos (CoRR, 2024)

Enabling On-Device LLMs Personalization with Smartphone Sensing. - Shiquan Zhang; Ying Ma; Le Fang; Hong Jia; Simon D'Alfonso; Vassilis Kostakos (CoRR, 2024)

Leveraging LLMs to Predict Affective States via Smartphone Sensor Features. - Tianyi Zhang; Songyan Teng; Hong Jia; Simon D'Alfonso (CoRR, 2024)

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 001; Aaron J. Quigley (CoRR, 2024)

StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. - Yu Wu 021; Ting Dang; Dimitris Spathis; Hong Jia; Cecilia Mascolo (CoRR, 2024)

Order Is All You Need for Categorical Data Clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Hong Jia; Yiu-ming Cheung (CoRR, 2024)

Multimodal Large Language Models in Human-Centered Health: Practical Insights. - Ting Dang; Hong Jia (IEEE Pervasive Comput., 2024)

2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching. - Shuting Chen; Yanfei Su; Baiqi Lai; Luwei Cai; Chengxi Hong; Li Li; Xiuliang Qiu; Hong Jia; Weiquan Liu (Remote. Sens., 2024)

Distinguishing the Multifactorial Impacts on Ecosystem Services under the Long-Term Ecological Restoration in the Gonghe Basin of China. - Hong Jia; Siqi Yang; Lianyou Liu; Rui Wang; Zeshi Li; Hang Li; Jifu Liu (Remote. Sens., 2024)

LightLLM: A Versatile Large Language Model for Predictive Light Sensing. - Jiawei Hu; Hong Jia; Mahbub Hassan; Lina Yao 001; Brano Kusy; Wen Hu 001 (SenSys, 2025)

DS-AdaptNet: An Efficient Retinal Vessel Segmentation Framework With Adaptive Enhancement and Depthwise Separable Convolutions. - Shuting Chen; Chengxi Hong; Hong Jia (IEEE Access, 2025)

Foundation Models for Anomaly Detection: Vision and Challenges. - Jing Ren; Tao Tang; Hong Jia; Haytham Fayek; Xiaodong Li; Suyu Ma; Xiwei Xu; Feng Xia (CoRR, 2025)

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices. - Cynthia Dong; Hong Jia; Young D. Kwon; Georgios Rizos; Cecilia Mascolo (CoRR, 2025)

Scaling Auditory Cognition via Test-Time Compute in Audio Language Models. - Ting Dang; Yan Gao 016; Hong Jia (CoRR, 2025)

Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition. - Jule Valendo Halim; Siyi Wang; Hong Jia; Ting Dang (CoRR, 2025)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. - Yan Gao 016; Massimo Roberto Scamarcia; Javier Fernández-Marqués; Mohammad Naseri; Chong Shen Ng; Dimitris Stripelis; Zexi Li; Tao Shen; Jiamu Bai; Daoyuan Chen; Zikai Zhang; Rui Hu; et al. (CoRR, 2025)

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models. - Jiaheng Dong; Hong Jia; Soumyajit Chatterjee; Abhirup Ghosh; James Bailey; Ting Dang (CoRR, 2025)

XTransfer: Cross-Modality Model Transfer for Human Sensing with Few Data at the Edge. - Yu Zhang; Xi Zhang; Hualin zhou; Xinyuan Chen; Shang Gao; Hong Jia; Jianfei Yang; Yuankai Qi; Tao Gu 001 (CoRR, 2025)

Leafeon: Toward Accurate Sensing of Leaf Water Content for Protected Cropping With mmWave Radar. - Mark Cardamis; Hong Jia; Hao Qian; Wenyao Chen; Yihe Yan; Oula Ghannoum; Aaron Quigley; Chun Tung Chou; Wen Hu 001 (IEEE Internet Things J., 2025)

Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding. - Hong Jia; Shiya Fu; Feng Xia; Vassilis Kostakos; Ting Dang (CoRR, 2025)

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 (CoRR, 2025)

From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations. - Shuning Zhang; Ying Ma; Yongquan 'Owen' Hu; Ting Dang; Hong Jia; Xin Yi 001; Hewu Li (CoRR, 2025)