Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks. - Yijun Yan; Jinchang Ren; Yinsheng Li; James Windmill; Winifred Ijomah (BigMM, 2015)

Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Salient Objects in Videos. - Yijun Yan; Jinchang Ren; Huimin Zhao 001; Jiangbin Zheng 001; Ezrinda Mohd Zaihidee; John J. Soraghan (PCM (2), 2016)

Adaptive fusion of color and spatial features for noise-robust retrieval of colored logo and trademark images. - Yijun Yan; Jinchang Ren; Yinsheng Li; James F. C. Windmill; Winifred Ijomah; Kuo-Ming Chao (Multidimens. Syst. Signal Process., 2016)

Fusion of block and keypoints based approaches for effective copy-move image forgery detection. - Jiangbin Zheng 001; Yanan Liu; Jinchang Ren; Tingge Zhu; Yijun Yan; Heng Yang (Multidimens. Syst. Signal Process., 2016)

Knowledge Based Fundamental and Harmonic Frequency Detection in Polyphonic Music Analysis. - Xiaoquan Li; Yijun Yan; Jinchang Ren; Huimin Zhao 001; Sophia Zhao; John J. Soraghan; Tariq S. Durrani (CSPS, 2017)

Deep Background Subtraction of Thermal and Visible Imagery for Pedestrian Detection in Videos. - Yijun Yan; Huimin Zhao 001; Fu-Jen Kao; Valentin Masero Vargas; Sophia Zhao; Jinchang Ren (BICS, 2018)

Unsupervised Hyperspectral Band Selection Based on Maximum Information Entropy and Determinantal Point Process. - Zhijing Yang; Weizhao Chen; Yijun Yan; Faxian Cao; Nian Cai (BICS, 2018)

Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study. - Jaime Zabalza; Zixiang Fei; Cuebong Wong; Yijun Yan; Carmelo Mineo; Erfu Yang; Tony Rodden; Jorn Mehnen; Quang-Cuong Pham; Jinchang Ren (BICS, 2018)

Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos. - Yijun Yan; Jinchang Ren; Huimin Zhao 001; Genyun Sun; Zheng Wang 008; Jiangbin Zheng 001; Stephen Marshall; John J. Soraghan (Cogn. Comput., 2018)

Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. - Yijun Yan; Jinchang Ren; Genyun Sun; Huimin Zhao 001; Junwei Han 001; Xuelong Li 001; Stephen Marshall; Jin Zhan (Pattern Recognit., 2018)

Sequence Similarity Alignment Algorithm in Bioinformatics: Techniques and Challenges. - Yuren Liu; Yijun Yan; Jinchang Ren; Stephen Marshall (BICS, 2019)

VIP-STB Farm: Scale-up Village to County/Province Level to Support Science and Technology at Backyard (STB) Program. - Yijun Yan; Sophia Zhao; Yuxi Fang; Yuren Liu; Zhongxin Chen; Jinchang Ren (BICS, 2019)

Wheat Growth Assessment for Satellite Remote Sensing Enabled Precision Agriculture. - Yuxi Fang; He Sun 009; Yijun Yan; Jinchang Ren; Daming Dong; Zhongxin Chen; Hong Yue; Tariq S. Durrani (CSPS, 2019)

FiberEUse: A Funded Project Towards the Reuse of the End-of-Life Fiber Reinforced Composites with Nondestructive Inspection. - Yijun Yan; Andrew Young; Jinchang Ren; James Windmill; Winifred L. Ijomah; Tariq S. Durrani (CSPS, 2019)

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. - Weizhao Chen; Zhijing Yang; Faxian Cao; Yijun Yan; Meilin Wang; Chunmei Qing; Yongqiang Cheng 001 (IET Image Process., 2019)

Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images. - He Sun 009; Jinchang Ren; Huimin Zhao 001; Yijun Yan; Jaime Zabalza; Stephen Marshall (Remote. Sens., 2019)

Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments - A Case Study. - Jaime Zabalza; Zixiang Fei; Cuebong Wong; Yijun Yan; Carmelo Mineo; Erfu Yang; Tony Rodden; Jorn Mehnen; Quang-Cuong Pham; Jinchang Ren (Sensors, 2019)

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. - Boaz Arad; Radu Timofte; Ohad Ben-Shahar; Yi-Tun Lin; Graham D. Finlayson; Shai Givati; Jiaojiao Li 001; Chaoxiong Wu; Rui Song 003; Yunsong Li 001; Fei Liu; Zhiqiang Lang; et al. (CVPR Workshops, 2020)

Generic wavelet-based image decomposition and reconstruction framework for multi-modal data analysis in smart camera applications. - Yijun Yan; Yiguang Liu; Mingqiang Yang; Huimin Zhao 001; Yanmei Chai; Jinchang Ren (IET Comput. Vis., 2020)

A Novel Intelligent Computational Approach to Model Epidemiological Trends and Assess the Impact of Non-Pharmacological Interventions for COVID-19. - Jinchang Ren; Yijun Yan; Huimin Zhao 001; Ping Ma 002; Jaime Zabalza; Zain U. Hussain; Shaoming Luo; Qingyun Dai; Sophia Zhao; Aziz Sheikh; Amir Hussain 001; Huakang Li (IEEE J. Biomed. Health Informatics, 2020)

Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project. - Yijun Yan; Jinchang Ren; Huan Zhao; James F. C. Windmill; Winifred Ijomah; Jesper de Wit; Justus von Freeden (CoRR, 2021)

Texture-Sensitive Superpixeling and Adaptive Thresholding for Effective Segmentation of Sea Ice Floes in High-Resolution Optical Images. - Yanmei Chai; Jinchang Ren; Byongjun Hwang; Jian Wang; Dan Fan; Yijun Yan; Shiwei Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Nondestructive Phenolic Compounds Measurement and Origin Discrimination of Peated Barley Malt Using Near-Infrared Hyperspectral Imagery and Machine Learning. - Yijun Yan; Jinchang Ren; Julius Tschannerl; Huimin Zhao 001; Barry Harrison; Frances Jack (IEEE Trans. Instrum. Meas., 2021)

Crowdsourced Quality Assessment of Enhanced Underwater Images - a Pilot Study. - Hanhe Lin; Hui Men; Yijun Yan; Jinchang Ren; Dietmar Saupe (QoMEX, 2022)

Towards using Involuntary Body Gestures for Measuring the User Engagement in VR Gaming. - Don Samitha Elvitigala; Rukshani Somarathna; Yijun Yan; Gelareh Mohammadi; Aaron Quigley (UIST (Adjunct Volume), 2022)

Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage. - Siyuan Chen; Jinchang Ren; Yijun Yan; Meijun Sun; Fuyuan Hu; Huimin Zhao 001 (Comput. Electr. Eng., 2022)

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. - Tian Li; Xiang Chen; Zhen Dong 003; Weijiang Yu; Yijun Yan; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering. - Jing Geng; Li'e Ma; Xiaoquan Li; Yijun Yan (CoRR, 2022)

Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging. - Yijun Yan; Jinchang Ren; He Sun 009 (CoRR, 2022)

Non-Destructive Testing of Composite Fiber Materials With Hyperspectral Imaging - Evaluative Studies in the EU H2020 FibreEUse Project. - Yijun Yan; Jinchang Ren; Huan Zhao; James F. C. Windmill; Winifred Ijomah; Jesper de Wit; Justus von Freeden (IEEE Trans. Instrum. Meas., 2022)

Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies. - Md Junayed Hasan; Eyad Elyan; Yijun Yan; Jinchang Ren; Md. Mostafa Kamal Sarker (BICS, 2023)

MLM-LSTM: Multi-layer Memory Learning Framework Based on LSTM for Hyperspectral Change Detection. - Yinhe Li; Yijun Yan; Jinchang Ren; Qiaoyuan Liu; Haijiang Sun (BICS, 2023)

Underwater Object Detection for Smooth and Autonomous Operations of Naval Missions: A Pilot Dataset. - Yijun Yan; Yinhe Li; Hanhe Lin; Md. Mostafa Kamal Sarker; Jinchang Ren; John McCall 001 (BICS, 2023)

Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment. - Xiaoquan Li; Stephan Weiss 001; Yijun Yan; Yinhe Li; Jinchang Ren; John J. Soraghan; Ming Gong (EUSIPCO, 2023)

Exploring User Engagement in Immersive Virtual Reality Games through Multimodal Body Movements. - Rukshani Somarathna; Don Samitha Elvitigala; Yijun Yan; Aaron J. Quigley; Gelareh Mohammadi (VRST, 2023)

PCA-Domain Fused Singular Spectral Analysis for Fast and Noise-Robust Spectral-Spatial Feature Mining in Hyperspectral Classification. - Yijun Yan; Jinchang Ren; Qiaoyuan Liu; Huimin Zhao 001; Haijiang Sun; Jaime Zabalza (IEEE Geosci. Remote. Sens. Lett., 2023)

CBANet: An End-to-End Cross-Band 2-D Attention Network for Hyperspectral Change Detection in Remote Sensing. - Yinhe Li; Jinchang Ren; Yijun Yan; Qiaoyuan Liu; Ping Ma 002; Andrei Petrovski 001; Haijiang Sun (IEEE Trans. Geosci. Remote. Sens., 2023)

Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images. - Ping Ma 002; Jinchang Ren; Genyun Sun; Huimin Zhao 001; Xiuping Jia; Yijun Yan; Jaime Zabalza (IEEE Trans. Geosci. Remote. Sens., 2023)

A Music Cognition-Guided Framework for Multi-pitch Estimation. - Xiaoquan Li; Yijun Yan; John J. Soraghan; Zheng Wang 008; Jinchang Ren (Cogn. Comput., 2023)

MCCFNet: Multi-channel Color Fusion Network For Cognitive Classification of Traditional Chinese Paintings. - Jing Geng; Xin Zhang; Yijun Yan; Meijun Sun; Huiyuan Zhang; Maher Assaad; Jinchang Ren; Xiaoquan Li (Cogn. Comput., 2023)

Understanding Users' Response to Chatbots from the Perspective of Interactive Ritual Chain. - Xusen Cheng; Yijun Yan; Alex Zarifis (AMCIS, 2024)

Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning. - Yijun Yan; Jinchang Ren; Barry Harrison; Oliver Lewis; Yinhe Li; Ping Ma 002 (CoRR, 2024)

How perceived justice leads to stickiness to short-term rental platforms: Unveiling the effect of relationship commitment and trust. - Xusen Cheng; Xiaowen Huang 003; Bo Yang; Shan Chen; Yijun Yan (Electron. Commer. Res. Appl., 2024)

ABBD: Accumulated Band-Wise Binary Distancing for Unsupervised Parameter-Free Hyperspectral Change Detection. - Yinhe Li; Jinchang Ren; Yijun Yan; Ping Ma 002; Maher Assaad; Zhi Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

SSA-LHCD: A Singular Spectrum Analysis-Driven Lightweight Network with 2-D Self-Attention for Hyperspectral Change Detection. - Yinhe Li; Jinchang Ren; Yijun Yan; Genyun Sun; Ping Ma 002 (Remote. Sens., 2024)

Nondestructive Quantitative Measurement for Precision Quality Control in Additive Manufacturing Using Hyperspectral Imagery and Machine Learning. - Yijun Yan; Jinchang Ren; He Sun 009; Robert Williams (IEEE Trans. Ind. Informatics, 2024)

A Knowledge Graph-Based Method for Predicting Substation Accident Hazards. - Jie Cao 005; Yijun Yan; Nan Qu; Yang Xi; Ying Ling (CSCWD, 2025)

RFHP-CD: A Prompt-Driven Fine-Tuning Framework of Remote Sensing Foundation Model for Building and Cropland Change Detection. - Guofang Wang; Yi Ma; Fangrong Zhou; Yifan Wang; Yijun Yan; Hao Geng (IEEE Access, 2025)

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph. - Mengyang Cao; Frank F. Yang; Yi Jin; Yijun Yan (CoRR, 2025)