Yijing Yang

33 papers A* 1B 3C 2Misc 1Journal 18Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Preliminary Explorations of Generative AI and the Embodied Embroidery of Huayao Intangible Cultural Heritage.
CHI Extended Abstracts
Nick Bryan-Kinns, Duoduo Zhang, Hao Li, Mengzhi He, Xiaojing Yuan, Xin Zhao, Ilia Pavlov, Yijing Yang, Sanyi Wang
2025 A* conf
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation.
ICLR
Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang
2025 J jnl
Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data.
IEEE Trans. Comput. Biol. Bioinform.
Hai Yang, Zhenbei Yang, Lei Zhang, Yijing Yang, Dan Zhou, Dongdong Li, Jing Zhang, Zhe Wang
2024 J jnl
Denoising for balanced representation: A diffusion-informed approach to causal effect estimation.
Knowl. Based Syst.
Hai Yang, Jing Yao, Zhe Wang, Yijing Yang
2024 J jnl
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation.
Comput. Medical Imaging Graph.
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
2024 J jnl
Subspace learning machine (SLM): Methodology and performance evaluation.
J. Vis. Commun. Image Represent.
Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo
2023 Misc conf
Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation.
ICASSP
Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo
2023 J jnl
DECO: Query-Based End-to-End Object Detection with ConvNets.
CoRR
Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang
2023 J jnl
Design of supervision-scalable learning systems: Methodology and performance benchmarking.
J. Vis. Commun. Image Represent.
Yijing Yang, Hongyu Fu, C.-C. Jay Kuo
2023 — conf
Examining the Relationship between Trading Volumes on the NSE and the Volatility of the NSE Market.
ICIBE
Yijing Yang, Xuecheng Wang, Chenchen Zhou, Yutong Zhang
2023 — conf
Framing Seamlessness-Enhancing Future Multimodal Interaction from Physical to Virtual Spaces.
ISS Companion
Nan Qie, Nick Bryan-Kinns, Fangli Song, Francisco Rebelo, Roger Ball, Yijing Yang, Le Du, Wei Wang
2023 — conf
Gesture Hub Design: A Remote User Study Method for Evaluating the Quality of Experience in Mobile Phone-Based Gesture Interaction.
HCI (48)
Haoyu Dong, Jun Zhang, Wei Wang, Yijing Yang, Qi Chen, Le Du
2023 J jnl
InDEP: an interpretable machine learning approach to predict cancer driver genes from multi-omics data.
Briefings Bioinform.
Hai Yang, Yawen Liu, Yijing Yang, Dongdong Li, Zhe Wang
2023 C conf
Modeling and Analysis of Interaction Between Power Industry and Typical Upstream and Downstream Industries.
iSPEC
Jingrui Chen, Yijing Yang, Qi Bu, Chongdong Zhou, Suwen Dao
2022 J jnl
A novel color image retrieval method based on texture and deep features.
Multim. Tools Appl.
Weiyi Wei, Wanru Wang, Yijing Yang, Yu Wang
2022 J jnl
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing.
CoRR
Hongyu Fu, Yijing Yang, Yuhuai Liu, Joseph Lin, Ethan Harrison, Vinod K. Mishra, C.-C. Jay Kuo
2022 B conf
An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images.
ICIP
Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo
2022 — conf
CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data.
BIBM
Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang
2022 J jnl
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking.
CoRR
Yijing Yang, Hongyu Fu, C.-C. Jay Kuo
2022 — conf
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation.
IVMSP
Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo
2022 J jnl
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation.
CoRR
Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo
2022 J jnl
On Supervised Feature Selection from High Dimensional Feature Spaces.
CoRR
Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo
2022 J jnl
Statistical Attention Localization (SAL): Methodology and Application to Object Classification.
CoRR
Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C.-C. Jay Kuo
2022 J jnl
Subspace Learning Machine (SLM): Methodology and Performance.
CoRR
Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo
2021 — conf
E-PixelHop: An Enhanced PixelHop Method for Object Classification.
APSIPA ASC
Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo
2021 J jnl
E-PixelHop: An Enhanced PixelHop Method for Object Classification.
CoRR
Yijing Yang, Vasileios Magoulianitis, C.-C. Jay Kuo
2021 J jnl
Unsupervised Data-Driven Nuclei Segmentation For Histology Images.
CoRR
Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo
2020 — conf
A Salient Object Detection Algorithm Based on Region Merging and Clustering.
IIP
Weiyi Wei, Yijing Yang, Wanru Wang, Xiufeng Zhao, Huifang Ma
2019 B conf
Ensembles of Feedforward-Designed Convolutional Neural Networks.
ICIP
Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
2019 J jnl
Ensembles of feedforward-designed convolutional neural networks.
CoRR
Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo
2019 B conf
Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks.
ICIP
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2019 J jnl
Semi-supervised learning via Feedforward-Designed Convolutional Neural Networks.
CoRR
Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo
2016 C conf
A Scalable Clinical Intelligent Decision Support System.
ICOST
Hua Chu, Yijing Yang, Qingshan Li, Yongfei Xu, Hongpeng Wei