A Scalable Clinical Intelligent Decision Support System. - Hua Chu; Yijing Yang; Qingshan Li; Yongfei Xu; Hongpeng Wei (ICOST, 2016)

Ensembles of Feedforward-Designed Convolutional Neural Networks. - Yueru Chen; Yijing Yang; Wei Wang 352; C.-C. Jay Kuo (ICIP, 2019)

Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. - Yueru Chen; Yijing Yang; Min Zhang 030; C.-C. Jay Kuo (ICIP, 2019)

A Salient Object Detection Algorithm Based on Region Merging and Clustering. - Weiyi Wei; Yijing Yang; Wanru Wang; Xiufeng Zhao; Huifang Ma (IIP, 2020)

E-PixelHop: An Enhanced PixelHop Method for Object Classification. - Yijing Yang; Vasileios Magoulianitis; C.-C. Jay Kuo (APSIPA ASC, 2021)

Unsupervised Data-Driven Nuclei Segmentation For Histology Images. - Vasileios Magoulianitis; Peida Han; Yijing Yang; C.-C. Jay Kuo (CoRR, 2021)

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. - Lei Zhang; Yijing Yang; Zhe Wang 002; Dongdong Li; Jingping Liu; Hai Yang 002 (BIBM, 2022)

An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images. - Vasileios Magoulianitis; Peida Han; Yijing Yang; C.-C. Jay Kuo (ICIP, 2022)

HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. - Vasileios Magoulianitis; Yijing Yang; C.-C. Jay Kuo (IVMSP, 2022)

On Supervised Feature Selection from High Dimensional Feature Spaces. - Yijing Yang; Wei Wang 352; Hongyu Fu; C.-C. Jay Kuo (CoRR, 2022)

Subspace Learning Machine (SLM): Methodology and Performance. - Hongyu Fu; Yijing Yang; Vinod K. Mishra; C.-C. Jay Kuo (CoRR, 2022)

Statistical Attention Localization (SAL): Methodology and Application to Object Classification. - Yijing Yang; Vasileios Magoulianitis; Xinyu Wang; C.-C. Jay Kuo (CoRR, 2022)

Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing. - Hongyu Fu; Yijing Yang; Yuhuai Liu; Joseph Lin; Ethan Harrison; Vinod K. Mishra; C.-C. Jay Kuo (CoRR, 2022)

A novel color image retrieval method based on texture and deep features. - Weiyi Wei; Wanru Wang; Yijing Yang; Yu Wang (Multim. Tools Appl., 2022)

Gesture Hub Design: A Remote User Study Method for Evaluating the Quality of Experience in Mobile Phone-Based Gesture Interaction. - Haoyu Dong; Jun Zhang; Wei Wang; Yijing Yang; Qi Chen; Le Du (HCI (48), 2023)

Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation. - Hongyu Fu; Yijing Yang; Vinod K. Mishra; C.-C. Jay Kuo (ICASSP, 2023)

Examining the Relationship between Trading Volumes on the NSE and the Volatility of the NSE Market. - Yijing Yang; Xuecheng Wang; Chenchen Zhou; Yutong Zhang (ICIBE, 2023)

Modeling and Analysis of Interaction Between Power Industry and Typical Upstream and Downstream Industries. - Jingrui Chen; Yijing Yang; Qi Bu; Chongdong Zhou; Suwen Dao (iSPEC, 2023)

Framing Seamlessness-Enhancing Future Multimodal Interaction from Physical to Virtual Spaces. - Nan Qie; Nick Bryan-Kinns; Fangli Song; Francisco Rebelo; Roger Ball; Yijing Yang; Le Du; Wei Wang 188 (ISS Companion, 2023)

DECO: Query-Based End-to-End Object Detection with ConvNets. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (CoRR, 2023)

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. - Hai Yang 002; Yawen Liu; Yijing Yang; Dongdong Li; Zhe Wang 002 (Briefings Bioinform., 2023)

Design of supervision-scalable learning systems: Methodology and performance benchmarking. - Yijing Yang; Hongyu Fu; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2023)

PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. - Vasileios Magoulianitis; Jiaxin Yang; Yijing Yang; Jintang Xue; Masatomo Kaneko; Giovanni E. Cacciamani; Andre Abreu; Vinay A. Duddalwar; C.-C. Jay Kuo; Inderbir S. Gill; Chrysostomos L. Nikias (Comput. Medical Imaging Graph., 2024)

Subspace learning machine (SLM): Methodology and performance evaluation. - Hongyu Fu; Yijing Yang; Vinod K. Mishra; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2024)

Denoising for balanced representation: A diffusion-informed approach to causal effect estimation. - Hai Yang 002; Jing Yao; Zhe Wang 002; Yijing Yang (Knowl. Based Syst., 2024)

DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. - Xinghao Chen 001; Siwei Li; Yijing Yang; Yunhe Wang 001 (ICLR, 2025)