Yijing Yang

According to our database, Yijing Yang authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Design of supervision-scalable learning systems: Methodology and performance benchmarking.

Yijing Yang, Hongyu Fu, C.-C. Jay Kuo

J. Vis. Commun. Image Represent., October, 2023

InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.

Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang

Briefings Bioinform., September, 2023

DECO: Query-Based End-to-End Object Detection with ConvNets.

Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang

CoRR, 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

Proceedings of the Companion Proceedings of the 2023 Conference on Interactive Surfaces and Spaces, 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

Proceedings of the IEEE Sustainable Power and Energy Conference, 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

Proceedings of the 2023 9th International Conference on Industrial and Business Engineering, 2023

Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation.

Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

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

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

Statistical Attention Localization (SAL): Methodology and Application to Object Classification.

Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, 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

On Supervised Feature Selection from High Dimensional Feature Spaces.

Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo

CoRR, 2022

HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation.

Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images.

Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.

Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Unsupervised Data-Driven Nuclei Segmentation For Histology Images.

Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo

CoRR, 2021

E-PixelHop: An Enhanced PixelHop Method for Object Classification.

Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

A Salient Object Detection Algorithm Based on Region Merging and Clustering.

Weiyi Wei, Yijing Yang, Wanru Wang, Xiufeng Zhao, Huifang Ma

Proceedings of the Intelligent Information Processing X, 2020

2019

Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks.

Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Ensembles of Feedforward-Designed Convolutional Neural Networks.

Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2016

A Scalable Clinical Intelligent Decision Support System.

Hua Chu, Yijing Yang, Qingshan Li, Yongfei Xu, Hongpeng Wei

Proceedings of the Inclusive Smart Cities and Digital Health, 2016