Development of Smalltalk in China. - Zhiyong Peng; Kai Huang; Juan Ye (C5, 2003)

A Squeak-Based Educational Software - Happy Learning. - Juan Ye; Zhiyong Peng (C5, 2004)

Integrating Multiple Contexts and Ontologies in a Pervasive Computing Framework. - Adrian K. Clear; Stephen Knox; Juan Ye; Lorcan Coyle; Simon Dobson; Paddy Nixon (C&O@ECAI, 2006)

A Unified Semantics Space Model. - Juan Ye; Lorcan Coyle; Simon Dobson; Paddy Nixon (LoCA, 2007)

Ontology-based models in pervasive computing systems. - Juan Ye; Lorcan Coyle; Simon Dobson; Paddy Nixon (Knowl. Eng. Rev., 2007)

Resolving uncertainty in context integration and abstraction: context integration and abstraction. - Juan Ye; Susan McKeever; Lorcan Coyle; Steve Neely; Simon Dobson (ICPS, 2008)

Representing and Manipulating Situation Hierarchies using Situation Lattices. - Juan Ye; Lorcan Coyle; Simon A. Dobson; Paddy Nixon (Rev. d'Intelligence Artif., 2008)

On Using Temporal Features to Create More Accurate Human-Activity Classifiers. - Juan Ye; Adrian K. Clear; Lorcan Coyle; Simon Dobson (AICS, 2009)

Using Dempster-Shafer Theory of Evidence for Situation Inference. - Susan McKeever; Juan Ye; Lorcan Coyle; Simon A. Dobson (EuroSSC, 2009)

A Middleware for Implicit Interaction. - Michael J. O'Grady; Juan Ye; Gregory M. P. O'Hare; Simon A. Dobson; Richard Tynan; Rem W. Collier; Conor Muldoon (Instinctive Computing Workshop, 2009)

Using Situation Lattices in Sensor Analysis. - Juan Ye; Lorcan Coyle; Simon Dobson; Paddy Nixon (PerCom, 2009)

A Context Quality Model to Support Transparent Reasoning with Uncertain Context. - Susan McKeever; Juan Ye; Lorcan Coyle; Simon Dobson (QuaCon, 2009)

Human-Behaviour Study with Situation Lattices. - Juan Ye; Simon A. Dobson (SMC, 2009)

Activity recognition using temporal evidence theory. - Susan McKeever; Juan Ye; Lorcan Coyle; Chris J. Bleakley; Simon Dobson (J. Ambient Intell. Smart Environ., 2010)

Exploring semantics in activity recognition using context lattices. - Juan Ye; Simon Dobson (J. Ambient Intell. Smart Environ., 2010)

LOC8: A Location Model and Extensible Framework for Programming with Location. - Graeme Stevenson; Juan Ye; Simon Dobson; Paddy Nixon (IEEE Pervasive Comput., 2010)

Social sensors and pervasive services: Approaches and perspectives. - Alberto Rosi; Marco Mamei; Franco Zambonelli; Simon Dobson; Graeme Stevenson; Juan Ye (PerCom Workshops, 2011)

PI: Perceiver and interpreter of smart home datasets. - Juan Ye; Graeme Stevenson; Simon Dobson; Michael J. O'Grady; Gregory M. P. O'Hare (PervasiveHealth, 2011)

A top-level ontology for smart environments. - Juan Ye; Graeme Stevenson; Simon A. Dobson (Pervasive Mob. Comput., 2011)

Self-aware Pervasive Service Ecosystems. - Franco Zambonelli; Gabriella Castelli; Laura Ferrari; Marco Mamei; Alberto Rosi; Giovanna Di Marzo Serugendo; Matteo Risoldi; Akla-Esso Tchao; Simon Dobson; Graeme Stevenson; Juan Ye; Elena Nardini 001; et al. (FET, 2011)

Analysis of New Gradient Based Aggregation Algorithms for Data-Propagation in Mobile Networks. - Jose Luis Fernandez-Marquez; Akla-Esso Tchao; Giovanna Di Marzo Serugendo; Graeme Stevenson; Juan Ye; Simon Dobson (SASO Workshops, 2012)

Towards Situated Awareness in Urban Networks: A Bio-Inspired Approach. - Graeme Stevenson; Jose Luis Fernandez-Marquez; Sara Montagna; Alberto Rosi; Juan Ye; Akla-Esso Tchao; Simon Dobson; Giovanna Di Marzo Serugendo; Mirko Viroli (SASO Workshops, 2012)

Self-Organising Semantic Resource Discovery for Pervasive Systems. - Graeme Stevenson; Juan Ye; Simon Dobson; Mirko Viroli; Sara Montagna (SASO Workshops, 2012)

Situation identification techniques in pervasive computing: A review. - Juan Ye; Simon Dobson; Susan McKeever (Pervasive Mob. Comput., 2012)

Semantics-Driven Multi-user Concurrent Activity Recognition. - Juan Ye; Graeme Stevenson (AmI, 2013)

Combining self-organisation, context-awareness and semantic reasoning: the case of resource discovery in opportunistic networks. - Graeme Stevenson; Juan Ye; Simon Dobson; Danilo Pianini; Sara Montagna; Mirko Viroli (SAC, 2013)

A Bio-chemical Approach to Awareness in Pervasive Systems. - Graeme Stevenson; Juan Ye; Simon A. Dobson; Gabriella Castelli; Alberto Rosi; Franco Zambonelli (SENSEMINE@SenSys, 2013)

Perceiving and interpreting smart home datasets with PI. - Juan Ye; Graeme Stevenson; Simon Dobson; Michael J. O'Grady; Gregory M. P. O'Hare (J. Ambient Intell. Humaniz. Comput., 2013)

Privacy-aware location privacy preference recommendations. - Yuchen Zhao; Juan Ye; Tristan Henderson (MobiQuitous, 2014)

Self-managing and self-organising mobile computing applications: a separation of concerns approach. - Jose Luis Fernandez-Marquez; Giovanna Di Marzo Serugendo; Graeme Stevenson; Juan Ye; Simon Dobson; Franco Zambonelli (SAC, 2014)

USMART: An Unsupervised Semantic Mining Activity Recognition Technique. - Juan Ye; Graeme Stevenson; Simon A. Dobson (ACM Trans. Interact. Intell. Syst., 2014)

Are our mobile phones driving us apart? Divert attention from mobile phones back to physical conversation! - Thomas Eddie; Juan Ye; Graeme Stevenson (MobileHCI Adjunct, 2015)

Using temporal correlation and time series to detect missing activity-driven sensor events. - Juan Ye; Graeme Stevenson; Simon A. Dobson (PerCom Workshops, 2015)

Fault detection for binary sensors in smart home environments. - Juan Ye; Graeme Stevenson; Simon A. Dobson (PerCom, 2015)

Semantic web technologies in pervasive computing: A survey and research roadmap. - Juan Ye; Stamatia Dasiopoulou; Graeme Stevenson; Georgios Meditskos; Efstratios Kontopoulos; Ioannis Kompatsiaris; Simon Dobson (Pervasive Mob. Comput., 2015)

KCAR: A knowledge-driven approach for concurrent activity recognition. - Juan Ye; Graeme Stevenson; Simon A. Dobson (Pervasive Mob. Comput., 2015)

Developing pervasive multi-agent systems with nature-inspired coordination. - Franco Zambonelli; Andrea Omicini; Bernhard Anzengruber; Gabriella Castelli; Francesco L. De Angelis; Giovanna Di Marzo Serugendo; Simon A. Dobson; Jose Luis Fernandez-Marquez; Alois Ferscha; Marco Mamei; Stefano Mariani 001; Ambra Molesini; et al. (Pervasive Mob. Comput., 2015)

Capturing social cues with imaging glasses. - Lauren Murray; Philip Hands; Ross Goucher; Juan Ye (UbiComp Adjunct, 2016)

Discovery and recognition of unknown activities. - Juan Ye; Lei Fang 001; Simon A. Dobson (UbiComp Adjunct, 2016)

The Effect of Privacy Concerns on Privacy Recommenders. - Yuchen Zhao; Juan Ye; Tristan Henderson (IUI, 2016)

New Challenges and Research Trend in Activity Recognition. - Juan Ye (MDM (Workshops), 2016)

A robust reputation-based location-privacy recommender system using opportunistic networks. - Yuchen Zhao; Juan Ye; Tristan Henderson (MobiCASE, 2016)

Mobile Wellbeing. - Mattias Rost; John Rooksby; Alexandra Weilenmann; Thomas Hillman; Pål Dobrin; Juan Ye (NordiCHI, 2016)

Spatial awareness in pervasive ecosystems. - Simon A. Dobson; Mirko Viroli; Jose Luis Fernandez-Marquez; Franco Zambonelli; Graeme Stevenson; Giovanna Di Marzo Serugendo; Sara Montagna; Danilo Pianini; Juan Ye; Gabriella Castelli; Alberto Rosi (Knowl. Eng. Rev., 2016)

Detecting abnormal events on binary sensors in smart home environments. - Juan Ye; Graeme Stevenson; Simon Dobson (Pervasive Mob. Comput., 2016)

Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs. - Shaoze Wang; Kai Jin; Haitong Lu; Chuming Cheng; Juan Ye; Dahong Qian (IEEE Trans. Medical Imaging, 2016)

SLearn: Shared learning human activity labels across multiple datasets. - Juan Ye (PerCom, 2018)

Bio-Inspired Spiking Neural Networks for Facial Expression Recognition: Generalisation Investigation. - Esma Mansouri-Benssassi; Juan Ye (TPNC, 2018)

Automatic Design and Fabrication of a Custom Ocular Prosthesis Using 3D Volume Difference Reconstruction (VDR). - Xin Ye 006; Shaoze Wang; Yan Zhu; Huifeng Shao; Lixia Lou; Dahong Qian; Juan Ye (IEEE Access, 2018)

Diversity computing. - Sue Fletcher-Watson; Hanne De Jaegher; Jelle van Dijk; Christopher Frauenberger; Maurice Magnée; Juan Ye (Interactions, 2018)

基于多通信半径加余弦定理的DV-Hop算法的改进 (Improvement of DV-Hop Algorithm Based on Multiple Communication Radii and Cosine Theorem). - Yingbo Ni; Yuanyan Chen; Juan Ye; Ming Wang (计算机科学, 2018)

Wearable Assistive Technologies for Autism: Opportunities and Challenges. - Esma Mansouri-Benssassi; Juan-Carlos Gomez 002; LouAnne E. Boyd; Gillian R. Hayes; Juan Ye (IEEE Pervasive Comput., 2018)

Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment. - Mei Zhou; Kai Jin; Shaoze Wang; Juan Ye; Dahong Qian (IEEE Trans. Biomed. Eng., 2018)

Sensor-Based Human Activity Mining Using Dirichlet Process Mixtures of Directional Statistical Models. - Lei Fang 001; Juan Ye; Simon Dobson (DSAA, 2019)

Speech Emotion Recognition With Early Visual Cross-modal Enhancement Using Spiking Neural Networks. - Esma Mansouri-Benssassi; Juan Ye (IJCNN, 2019)

Robust Audio Sensing with Multi-Sound Classification. - Peter Haubrick; Juan Ye (PerCom, 2019)

Representation Learning for Minority and Subtle Activities in a Smart Home Environment. - Andrea Rosales Sanabria; Thomas W. Kelsey; Juan Ye (PerCom, 2019)

Lifelong Learning in Sensor-Based Human Activity Recognition. - Juan Ye (PerCom Workshops, 2019)

Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models. - Lei Fang 001; Juan Ye; Simon Dobson (SASO, 2019)

Representation learning for minority and subtle activities in a smart home environment. - Andrea Rosales Sanabria; Thomas W. Kelsey; Simon Dobson; Juan Ye (J. Ambient Intell. Smart Environ., 2019)

多通信半径与角度修正的凸规划改进定位算法 (Optimized Convex Localization Algorithm Using Multiple Communication Radius and Angle Correction). - Juan Ye; Yuanyan Chen; Ming Wang; Yingbo Ni (计算机科学, 2019)

Lifelong Learning in Sensor-Based Human Activity Recognition. - Juan Ye; Simon Dobson; Franco Zambonelli (IEEE Pervasive Comput., 2019)

Synch-Graph: Multisensory Emotion Recognition Through Neural Synchrony via Graph Convolutional Networks. - Esma Mansouri-Benssassi; Juan Ye (AAAI, 2020)

Bayesian Inference Federated Learning for Heart Rate Prediction. - Lei Fang 001; Xiaoli Liu 005; Xiang Su; Juan Ye; Simon Dobson; Pan Hui 001; Sasu Tarkoma (MobiHealth, 2020)

Visualization as Intermediate Representations (VLAIR) for Human Activity Recognition. - Ai Jiang; Miguel A. Nacenta; Kasim Terzic; Juan Ye (PervasiveHealth, 2020)

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization. - Saurav Jha; Martin Schiemer; Juan Ye (CoRR, 2020)

Evolving models for incrementally learning emerging activities. - Juan Ye; Elise Callus (J. Ambient Intell. Smart Environ., 2020)

Unsupervised domain adaptation for activity recognition across heterogeneous datasets. - Andrea Rosales Sanabria; Juan Ye (Pervasive Mob. Comput., 2020)

Sensor Technology for Smart Homes. - Juan Ye; Michael J. O'Grady; Oresti Banos (Sensors, 2020)

XLearn: Learning Activity Labels across Heterogeneous Datasets. - Juan Ye; Simon Dobson; Franco Zambonelli (ACM Trans. Intell. Syst. Technol., 2020)

Discovery and Recognition of Emerging Human Activities Using a Hierarchical Mixture of Directional Statistical Models. - Lei Fang 001; Juan Ye; Simon Dobson (IEEE Trans. Knowl. Data Eng., 2020)

An Exploratory Study on Academic Reading Contexts, Technology, and Strategies. - Mario Alberto Moreno Rocha; Miguel A. Nacenta; Juan Ye (MexIHC, 2021)

Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. - Yiming Bao; Jun Wang 072; Tong Li; Linyan Wang; Jianwei Xu; Juan Ye; Dahong Qian (OMIA@MICCAI, 2021)

A Novel Meibomian Gland Morphology Analytic System Based on a Convolutional Neural Network. - Qi Dai; Xinyi Liu; Xiaolei Lin; Yana Fu; Chaoqiao Chen; Xinxin Yu; Zuhui Zhang; Tiankun Li; Mengting Liu; Weihua Yang; Juan Ye (IEEE Access, 2021)

Unsupervised Domain Adaptation in Activity Recognition: A GAN-Based Approach. - Andrea Rosales Sanabria; Franco Zambonelli; Juan Ye (IEEE Access, 2021)

Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images. - Yiming Bao; Jun Wang; Tong Li; Linyan Wang; Jianwei Xu; Juan Ye; Dahong Qian (CoRR, 2021)

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis. - Saurav Jha; Martin Schiemer; Franco Zambonelli; Juan Ye (Inf. Sci., 2021)

Collaborative activity recognition with heterogeneous activity sets and privacy preferences. - Gabriele Civitarese; Juan Ye; Matteo Zampatti; Claudio Bettini (J. Ambient Intell. Smart Environ., 2021)

Shared learning activity labels across heterogeneous datasets. - Juan Ye (J. Ambient Intell. Smart Environ., 2021)

ContrasGAN: Unsupervised domain adaptation in Human Activity Recognition via adversarial and contrastive learning. - Andrea Rosales Sanabria; Franco Zambonelli; Simon Dobson; Juan Ye (Pervasive Mob. Comput., 2021)

Generalisation and robustness investigation for facial and speech emotion recognition using bio-inspired spiking neural networks. - Esma Mansouri-Benssassi; Juan Ye (Soft Comput., 2021)

Continual Activity Recognition with Generative Adversarial Networks. - Juan Ye; Pakawat Nakwijit; Martin Schiemer; Saurav Jha; Franco Zambonelli (ACM Trans. Internet Things, 2021)

Enabling Continuous Object Recognition in Mobile Augmented Reality. - Xiang Su; Ai Jiang; Jacky Cao; Wenxiao Zhang; Pan Hui 001; Juan Ye (IUI Companion, 2022)

Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM. - Yilong Li; Yaqi Wang 002; Le Dong; Juan Ye; Linyan Wang; Ruiquan Ge; Huiyu Zhou 001; Qianni Zhang (CMMCA@MICCAI, 2022)

Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs. - Jinhao Li 005; Shuai Wang 003; Shaodan Hu; Yiming Sun; Yaqi Wang 002; Peifang Xu; Juan Ye (Comput. Biol. Medicine, 2022)

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. - Ruilong Dan; Yunxiang Li; Yijie Wang; Gangyong Jia; Ruiquan Ge; Juan Ye; Qun Jin; Yaqi Wang 002 (CoRR, 2022)

A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images. - Chengfeng Zhou; Songchang Chen; Chenming Xu; Jun Wang; Feng Liu; Chun Zhang; Juan Ye; Hefeng Huang; Dahong Qian (CoRR, 2022)

A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed. - Ying Xue; Jiazhu Zhu; Xiaoling Huang; Xiaobin Xu; Xiaojing Li; Yameng Zheng; Zhijing Zhu; Kai Jin; Juan Ye; Wei Gong; Ke Si (J. Biomed. Informatics, 2022)

VisuaLizations As Intermediate Representations (VLAIR): An approach for applying deep learning-based computer vision to non-image-based data. - Ai Jiang; Miguel A. Nacenta; Juan Ye (Vis. Informatics, 2022)

Tribranchu-Net: A Size-Sensitive Network for Orbital Tumor Segmentation. - Yuchen He; Wenyu Wang; Zhiming Cheng; Wei Qi; Zhigang Duan; Kai Jin; Juan Ye; Shuai Wang (ISBI, 2023)

Multi-Task Dual Boundary Aware Network for Retinal Layer Segmentation. - Ce Yang; Wenyu Wang; Chengyu Wu; Kai Jin; Yan Yan; Juan Ye; Shuai Wang 003 (IEEE Access, 2023)

Towards Automated Animal Density Estimation with Acoustic Spatial Capture-Recapture. - Yuheng Wang; Juan Ye; David L. Borchers (CoRR, 2023)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Jayden Parker Vap; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoRR, 2023)

TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction. - Ruiquan Ge; Xiangyang Hu; Rungen Huang; Gangyong Jia; Yaqi Wang; Renshu Gu; Changmiao Wang; Elazab Ahmed; Linyan Wang; Juan Ye; Ye Li (CoRR, 2023)

Investigating Multisensory Integration in Emotion Recognition Through Bio-Inspired Computational Models. - Esma Mansouri-Benssassi; Juan Ye (IEEE Trans. Affect. Comput., 2023)

DynamicRead: Exploring Robust Gaze Interaction Methods for Reading on Handheld Mobile Devices under Dynamic Conditions. - Yaxiong Lei; Yuheng Wang; Tyler Caslin; Alexander Wisowaty; Xu Zhu 005; Mohamed Khamis; Juan Ye (Proc. ACM Hum. Comput. Interact., 2023)

Online continual learning for human activity recognition. - Martin Schiemer; Lei Fang 001; Simon Dobson; Juan Ye (Pervasive Mob. Comput., 2023)

DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins. - Zhangzhi Xue; Tiansheng Zhu; Fangfei Zhang; Cheng Zhang; Nan Xiang; Liujia Qian; Xiao Yi; Yaoting Sun; Wei Liu; Xue Cai; Linyan Wang; Xizhe Dai; et al. (Patterns, 2023)

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound. - Ruilong Dan; Yunxiang Li; Yijie Wang; Xiaodiao Chen; Gangyong Jia; Shuai Wang 003; Ruiquan Ge; Guiping Qian; Qun Jin; Juan Ye; Yaqi Wang 002 (IEEE J. Biomed. Health Informatics, 2023)

GOMPS: Global Attention-based Ophthalmic Image Measurement and Postoperative Appearance Prediction System. - Xingru Huang; Zhi Li; Lixia Lou; Ruilong Dan; Lingxiao Chen; Guodong Zeng; Gangyong Jia; Xiaodiao Chen; Qun Jin; Juan Ye; Yaqi Wang 002 (Expert Syst. Appl., 2023)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoLLAs, 2024)

Diffusers Generated Unlabeled Images Improves Semi-supervised Object Detection. - Zhanyun Lu; Renshu Gu; Huimin Cheng; Mingyu Xu; Peifang Xu; Yuichiro Kinoshita; Juan Ye; Gangyong Jia; Qing Wu (CW, 2024)

PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation. - Yaqi Wang 002; Zehua Yang; Xindi Liu; Zhi Li; Chengyu Wu; Yizhen Wang; Kai Jin; Dechao Chen; Gangyong Jia; Xiaodiao Chen; Juan Ye; Xingru Huang (Artif. Intell. Medicine, 2024)

BathNet: A network to classification of fundus and contrast images using label transfer and multi-branch transformer. - Yaqi Wang 002; Zihao Xv; Yizhen Wang; Kai Jin; Zhiyuan Gao; Yiran Ke; Chengyu Wu; Xiaodiao Chen; Dechao Chen; Juan Ye; Gangyong Jia (Biomed. Signal Process. Control., 2024)

Cascade spatial and channel-wise multifusion network with criss cross augmentation for corneal segmentation and reconstruction. - Guiping Qian; Huaqiong Wang; Yaqi Wang 002; Xiaodiao Chen; Dingguo Yu; Shan Luo 003; Yiming Sun; Peifang Xu; Juan Ye (Comput. Biol. Medicine, 2024)

Class-balanced Open-set Semi-supervised Object Detection for Medical Images. - Zhanyun Lu; Renshu Gu; Huimin Cheng; Siyu Pang; Mingyu Xu; Peifang Xu; Yaqi Wang; Yuichiro Kinoshita; Juan Ye; Gangyong Jia; Qing Wu (CoRR, 2024)

Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM. - Yilong Li; Linyan Wang; Xingru Huang; Yaqi Wang 002; Le Dong; Ruiquan Ge; Huiyu Zhou 001; Juan Ye; Qianni Zhang (IEEE J. Biomed. Health Informatics, 2024)

An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. - Yaxiong Lei; Shijing He; Mohamed Khamis; Juan Ye (ACM Comput. Surv., 2024)

Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis. - Renshu Gu; Yueyu Zhang; Lisha Wang; Dechao Chen; Yaqi Wang 002; Ruiquan Ge; Zicheng Jiao; Juan Ye; Gangyong Jia; Linyan Wang (Multim. Syst., 2024)

Opportunistic Dynamic Architecture for Class-Incremental Learning. - Fahrurrozi Rahman; Andrea Rosales Sanabria; Juan Ye (IEEE Access, 2025)

Needle detection and localisation for robot-assisted subretinal injection using deep learning. - Mingchuan Zhou; Xiangyu Guo; Matthias Grimm; Elias Lochner; Zhongliang Jiang; Abouzar Eslami; Juan Ye; Nassir Navab; Alois Knoll; Mohammad Ali Nasseri (CAAI Trans. Intell. Technol., 2025)

LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset. - Zhaojie Fang; Xiao Yu; Guanyu Zhou; Ke Zhuang; Yifei Chen; Ruiquan Ge; Changmiao Wang; Gangyong Jia; Qing Wu 008; Juan Ye; Maimaiti Nuliqiman; Peifang Xu; et al. (Expert Syst. Appl., 2025)

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives. - Xiaoling Huang; Xiangyin Kong; Yan Yan; Zhiyuan Gao; Zihan Li; Chun Zhang; Kai Jin; Juan Ye (npj Digit. Medicine, 2025)

Smartphone video-based early diagnosis of blepharospasm using dual cross-attention modeling enhanced by facial pose estimation. - Shenyu Huang; Boyuan Yang; Xiaoling Huang; Huina Zhang; Dong Luo; Guanchao Tong; Yijie Wang; Yongqing Shao; Menglu Chen; Qi Gao; Juan Ye (npj Digit. Medicine, 2025)

Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation. - An Shao; Xiaocong Liu; Wenyue Shen; Yingyu Li; Hongkang Wu; Xiangji Pan; Zexin Yang; Yufeng Xu; Tiepei Zhu; Yao Wang; Jie Yang; Yih Chung Tham; et al. (npj Digit. Medicine, 2025)

Continual learning in sensor-based human activity recognition with dynamic mixture of experts. - Fahrurrozi Rahman; Martin Schiemer; Andrea Rosales Sanabria; Juan Ye (Pervasive Mob. Comput., 2025)

SelfVis: Self-Supervised Learning for Human Activity Recognition Based on Area Charts. - Ai Jiang; Juan Ye (IEEE Trans. Emerg. Top. Comput., 2025)

Quantifying the Impact of Motion on 2D Gaze Estimation in Real-World Mobile Interactions. - Yaxiong Lei; Yuheng Wang; Fergus Buchanan; Mingyue Zhao; Yusuke Sugano; Shijing He; Mohamed Khamis; Juan Ye (CoRR, 2025)

MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking. - Yaxiong Lei; Mingyue Zhao; Yuheng Wang; Shijing He; Yusuke Sugano; Yafei Wang; Kaixing Zhao; Mohamed Khamis; Juan Ye (CoRR, 2025)

Privacy Perspectives and Practices of Chinese Smart Home Product Teams. - Shijing He; Yaxiong Lei; Xiao Zhan; Chi Zhang; Juan Ye; Ruba Abu-Salma; Jose Such (CoRR, 2025)

Identity Deepfake Threats to Biometric Authentication Systems: Public and Expert Perspectives. - Shijing He; Yaxiong Lei; Zihan Zhang; Yuzhou Sun; Shujun Li; Chi Zhang; Juan Ye (CoRR, 2025)