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2020 – today
- 2024
[j5]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:
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Comput. Medical Imaging Graph. 116: 102408 (2024)- [j4]Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo:
Subspace learning machine (SLM): Methodology and performance evaluation. J. Vis. Commun. Image Represent. 98: 104058 (2024) - 2023
- [j3]Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang:
InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data. Briefings Bioinform. 24(5) (2023) - [j2]Yijing Yang, Hongyu Fu, C.-C. Jay Kuo:
Design of supervision-scalable learning systems: Methodology and performance benchmarking. J. Vis. Commun. Image Represent. 96: 103925 (2023) - [c13]Haoyu Dong, Jun Zhang, Wei Wang, Yijing Yang, Qi Chen, Le Du:
Gesture Hub Design: A Remote User Study Method for Evaluating the Quality of Experience in Mobile Phone-Based Gesture Interaction. HCI (48) 2023: 37-53 - [c12]Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo:
Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation. ICASSP 2023: 1-5 - [c11]Yijing Yang, Xuecheng Wang, Chenchen Zhou, Yutong Zhang:
Examining the Relationship between Trading Volumes on the NSE and the Volatility of the NSE Market. ICIBE 2023: 481-488 - [c10]Jingrui Chen, Yijing Yang, Qi Bu, Chongdong Zhou, Suwen Dao:
Modeling and Analysis of Interaction Between Power Industry and Typical Upstream and Downstream Industries. iSPEC 2023: 1-7 - [c9]Nan Qie, Nick Bryan-Kinns, Fangli Song, Francisco Rebelo, Roger Ball, Yijing Yang, Le Du, Wei Wang:
Framing Seamlessness-Enhancing Future Multimodal Interaction from Physical to Virtual Spaces. ISS Companion 2023: 79-81 - [i11]Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang:
DECO: Query-Based End-to-End Object Detection with ConvNets. CoRR abs/2312.13735 (2023) - 2022
- [j1]Weiyi Wei, Wanru Wang, Yijing Yang, Yu Wang:
A novel color image retrieval method based on texture and deep features. Multim. Tools Appl. 81(1): 659-679 (2022) - [c8]Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang:
CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. BIBM 2022: 3223-3227 - [c7]Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo:
An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images. ICIP 2022: 226-230 - [c6]Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo:
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. IVMSP 2022: 1-5 - [i10]Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo:
On Supervised Feature Selection from High Dimensional Feature Spaces. CoRR abs/2203.11924 (2022) - [i9]Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo:
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. CoRR abs/2203.14887 (2022) - [i8]Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo:
Subspace Learning Machine (SLM): Methodology and Performance. CoRR abs/2205.05296 (2022) - [i7]Yijing Yang, Hongyu Fu, C.-C. Jay Kuo:
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking. CoRR abs/2206.09061 (2022) - [i6]Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C.-C. Jay Kuo:
Statistical Attention Localization (SAL): Methodology and Application to Object Classification. CoRR abs/2208.01823 (2022) - [i5]Hongyu Fu, Yijing Yang, Yuhuai Liu, Joseph Lin, Ethan Harrison, Vinod K. Mishra, C.-C. Jay Kuo:
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing. CoRR abs/2208.07023 (2022) - 2021
- [c5]Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo:
E-PixelHop: An Enhanced PixelHop Method for Object Classification. APSIPA ASC 2021: 1475-1482 - [i4]Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo:
E-PixelHop: An Enhanced PixelHop Method for Object Classification. CoRR abs/2107.02966 (2021) - [i3]Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo:
Unsupervised Data-Driven Nuclei Segmentation For Histology Images. CoRR abs/2110.07147 (2021) - 2020
- [c4]Weiyi Wei, Yijing Yang, Wanru Wang, Xiufeng Zhao, Huifang Ma:
A Salient Object Detection Algorithm Based on Region Merging and Clustering. Intelligent Information Processing 2020: 3-13
2010 – 2019
- 2019
- [c3]Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks. ICIP 2019: 365-369 - [c2]Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of Feedforward-Designed Convolutional Neural Networks. ICIP 2019: 3796-3800 - [i2]Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of feedforward-designed convolutional neural networks. CoRR abs/1901.02154 (2019) - [i1]Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo:
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks. CoRR abs/1902.01980 (2019) - 2016
- [c1]Hua Chu, Yijing Yang, Qingshan Li, Yongfei Xu, Hongpeng Wei:
A Scalable Clinical Intelligent Decision Support System. ICOST 2016: 159-165
Coauthor Index
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last updated on 2024-07-20 20:34 CEST by the dblp team
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