Converting Thermal Infrared Face Images into Normal Gray-Level Images. - Mingsong Dou; Chao Zhang 001; Pengwei Hao; Jun Li 010 (ACCV (2), 2007)

Hierarchical Structuring of Data on Manifolds. - Jun Li 010; Pengwei Hao (CVPR, 2007)

Reliable Representation of Data on Manifolds. - Jun Li 010; Pengwei Hao (BMVC, 2008)

Transferring Colours to Grayscale Images by Locally Linear Embedding. - Jun Li 010; Pengwei Hao; Chao Zhang 001 (BMVC, 2008)

Hallucinating faces from thermal infrared images. - Jun Li 010; Pengwei Hao; Chao Zhang 001; Mingsong Dou (ICIP, 2008)

Finding representative landmarks of data on manifolds. - Jun Li 010; Pengwei Hao (Pattern Recognit., 2009)

Data on manifolds : Reliable representations and visual computing application. - Jun Li 010 (2009)

Boosted Dynamic Cognitive Activity Recognition from Brain Images. - Jun Li 010; Dacheng Tao (ICMLA, 2010)

Feature Extraction for fMRI-Based Human Brain Activity Recognition. - Wei Bian; Jun Li 010; Dacheng Tao (MLMI, 2010)

An Exponential Family Extension to Principal Component Analysis. - Jun Li 010; Dacheng Tao (Aust. J. Intell. Inf. Process. Syst., 2010)

Wisdom of Crowds: Single Image Super-resolution from the Web. - Jun Li 010; Dacheng Tao (ICDM Workshops, 2011)

A Probabilistic Model for Discovering High Level Brain Activities from fMRI. - Jun Li 010; Dacheng Tao (ICONIP (1), 2011)

Sampling Normal Distribution Restricted on Multiple Regions. - Jun Li 010; Dacheng Tao (ICONIP (1), 2012)

Segment-Based Features for Time Series Classification. - Zhang Zhang 001; Jun Cheng 002; Jun Li 010; Wei Bian; Dacheng Tao (Comput. J., 2012)

A probabilistic model for image representation via multiple patterns. - Jun Li 010; Dacheng Tao; Xuelong Li 001 (Pattern Recognit., 2012)

On Preserving Original Variables in Bayesian PCA With Application to Image Analysis. - Jun Li 010; Dacheng Tao (IEEE Trans. Image Process., 2012)

A Bayesian Factorised Covariance Model for Image Analysis. - Jun Li 010; Dacheng Tao (IJCAI, 2013)

Learning colours from textures by sparse manifold embedding. - Jun Li 010; Wei Bian; Dacheng Tao; Chengqi Zhang (Signal Process., 2013)

A Bayesian Hierarchical Factorization Model for Vector Fields. - Jun Li 010; Dacheng Tao (IEEE Trans. Image Process., 2013)

Simple Exponential Family PCA. - Jun Li 010; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2013)

Exponential Family Factors for Bayesian Factor Analysis. - Jun Li 010; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2013)

A Distributed Approach Toward Discriminative Distance Metric Learning. - Jun Li 010; Xun Lin; Xiaoguang Rui; Yong Rui; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2015)

Shakeout: A New Regularized Deep Neural Network Training Scheme. - Guoliang Kang; Jun Li 010; Dacheng Tao (AAAI, 2016)

ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering. - Zhang Zhang 001; Kaiqi Huang; Tieniu Tan; Peipei Yang; Jun Li 010 (CVPR, 2016)

Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network. - Zijing Chen; Jun Li 010; Zhe Chen 013; Xinge You (ICONIP (1), 2017)

Learning to focus for object proposals. - Zijing Chen; Xinhua You; Jun Li 010 (SPAC, 2017)

Dynamically Modulated Mask Sparse Tracking. - Zijing Chen; Xinge You; Boxuan Zhong; Jun Li 010; Dacheng Tao (IEEE Trans. Cybern., 2017)

Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene. - Jun Li 010; Xue Mei; Danil V. Prokhorov; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction. - Junyi Pan; Jun Li 010; Xiaoguang Han 001; Kui Jia (3DV, 2018)

Discovering Granger-Causal Features from Deep Learning Networks. - Aneesh Sreevallabh Chivukula; Jun Li 010; Wei Liu 007 (Australasian Conference on Artificial Intelligence, 2018)

Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets. - Ancheng Lin; Jun Li 010; Lujuan Zhang; Zhenyuan Ma; Weiqi Luo 002 (Australasian Conference on Artificial Intelligence, 2018)

A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions. - Ancheng Lin; Jun Li 010; Lujuan Zhang; Lei Shi; Zhenyuan Ma (Australasian Conference on Artificial Intelligence, 2018)

Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer. - Lunkai Fu; Jun Li 010; Langxiong Zhou; Zhenyuan Ma; Shaopeng Liu; Zhiyong Lin; Mukesh Prasad (IJCNN, 2018)

GAN2C: Information Completion GAN with Dual Consistency Constraints. - Lujuan Zhang; Jun Li 010; Tao Huang; Zhenyuan Ma; Zhiyong Lin; Mukesh Prasad (IJCNN, 2018)

On Learning and Learned Representation with Dynamic Routing in Capsule Networks. - Ancheng Lin; Jun Li 010; Zhenyuan Ma (CoRR, 2018)

Shakeout: A New Approach to Regularized Deep Neural Network Training. - Guoliang Kang; Jun Li 010; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

On Learning and Learned Data Representation by Capsule Networks. - Ancheng Lin; Jun Li 010; Zhenyuan Ma (IEEE Access, 2019)

Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering. - Om Prakash Patel; Neha Bharill; Aruna Tiwari; Vikram Patel; Ojas Gupta; Jian Cao 001; Jun Li 010; Mukesh Prasad (IEEE Access, 2019)

A Distributed Approach towards Discriminative Distance Metric Learning. - Jun Li 010; Xun Lin; Xiaoguang Rui; Yong Rui; Dacheng Tao (CoRR, 2019)

Learn to focus on objects for visual detection. - Zijing Chen; Jun Li 010; Xinhua You (Neurocomputing, 2019)

Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks. - Yang Zhang 067; Peihua Lv; Xiaobo Lu; Jun Li 010 (Multim. Tools Appl., 2019)

Single-sample face recognition under varying lighting conditions based on logarithmic total variation. - Yang Zhang 067; Xiaobo Lu; Jun Li 010 (Signal Image Video Process., 2019)

Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation. - Zhaohui Liang; Jimmy Xiangji Huang; Jun Li 010; Stephen Chan (BIBM, 2020)

F-Net: Fusion Neural Network for Vehicle Trajectory Prediction in Autonomous Driving. - Jue Wang 004; Ping Wang 003; Chao Zhang 001; Kuifeng Su; Jun Li 010 (ICASSP, 2021)

An Extension of BIM Using AI: A Multi Working-Machines Pathfinding Solution. - Yusheng Xiang; Kailun Liu; Tianqing Su; Jun Li 010; Shirui Ouyang; Samuel S. Mao; Marcus Geimer (IEEE Access, 2021)

KIT Bus: A Shuttle Model for CARLA Simulator. - Yusheng Xiang; Shuo Wang; Tianqing Su; Jun Li 010; Samuel S. Mao; Marcus Geimer (CoRR, 2021)

Face Hallucination With Finishing Touches. - Yang Zhang 067; Ivor W. Tsang; Jun Li 010; Ping Liu 004; Xiaobo Lu; Xin Yu 002 (IEEE Trans. Image Process., 2021)

A Multiscale Wavelet Kernel Regularization-Based Feature Extraction Method for Electronic Nose. - Taoping Liu; Wentian Zhang; Jun Li 010; Maiken Ueland; Shari L. Forbes; Wei Xing Zheng 001; Steven Weidong Su (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Self-Supervised Object Segmentation with a Cut-and-Pasting GAN. - Kunal Chaturvedi; Ali Braytee; Jun Li 010; Mukesh Prasad (CoRR, 2023)

Human Machine Co-adaption Interface via Cooperation Markov Decision Process System. - Kairui Guo; Adrian Cheng; Yaqi Li; Jun Li 010; Rob Duffield; Steven W. Su (CoRR, 2023)

SS-CPGAN: Self-Supervised Cut-and-Pasting Generative Adversarial Network for Object Segmentation. - Kunal Chaturvedi; Ali Braytee; Jun Li 010; Mukesh Prasad (Sensors, 2023)

BDC Dataset: A Comprehensive Dataset for Automated Build Damage Classification. - Xing Zi; Yunxiao Shi; Taoyuan Zhu; Kairui Jin; Xian Tao; Jun Li 010; Karthick Thiyagarajan; Mukesh Prasad (ADMA (1), 2024)

Short-Term Time Series State of Charge Prediction in Electric Vehicle LGM50 Batteries: A Rolling Forecasting Approach. - Zeyang Zhou; Angelo Greco; Fenix Huang; Karthick Thiyagarajan; Jun Li 010; Mukesh Prasad (ICST, 2024)

Direct Learning of Mesh and Appearance via 3D Gaussian Splatting. - Ancheng Lin; Jun Li 010 (CoRR, 2024)

Cooperative Markov Decision Process model for human-machine co-adaptation in robot-assisted rehabilitation. - Kairui Guo; Adrian Cheng; Yaqi Li; Jun Li 010; Rob Duffield; Steven Weidong Su (Knowl. Based Syst., 2024)

Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics. - Ancheng Lin; Jun Li 010; Yusheng Xiang; Wei Bian; Mukesh Prasad (IEEE Trans. Intell. Veh., 2024)

Lightweight Motion-Aware Video Super-Resolution for Compressed Videos. - Ilhwan Kwon; Jun Li 010; Rajiv Ratn Shah; Mukesh Prasad (MMM (2), 2025)

Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing. - Xing Zi; Kairui Jin; Xian Tao; Jun Li 010; Ali Braytee; Rajiv Ratn Shah; Mukesh Prasad (CoRR, 2025)

AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions. - Xing Zi; Tengjun Ni; Xianjing Fan; Xian Tao; Jun Li 010; Ali Braytee; Mukesh Prasad (CoRR, 2025)

Dynamic Appearance Particle Neural Radiance Field. - Ancheng Lin; Yusheng Xiang; Jun Li 010; Mukesh Prasad (IEEE Trans. Circuits Syst. Video Technol., 2025)

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering. - Xing Zi; Jinghao Xiao; Yunxiao Shi; Xian Tao; Jun Li 010; Ali Braytee; Mukesh Prasad (CoRR, 2025)