C.-C. Jay Kuo

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 382

Top Venues

CoRR

ICIP

J. Vis. Commun. Image Represent.

IEEE Trans. Image Process.

Publications

Xiaofeng Liu, Fangxu Xing, Jane You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Subtype-Aware Dynamic Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C.-C. Jay Kuo
Geometrical Interpretation and Design of Multilayer Perceptrons. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Xiaofeng Liu, Nadya Shusharina, Helen A. Shih, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI. CoRR (2024)
Chengwei Wei, Runqi Pang, C.-C. Jay Kuo
GWPT: A Green Word-Embedding-based POS Tagger. CoRR (2024)
Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar
Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma. SIPAIM (2023)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR: A Light-Weight Super-Resolution Method. ICIP (2023)
Chengwei Wei, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo
An Overview on Language Models: Recent Developments and Outlook. CoRR (2023)
Xinyu Wang, Vinod K. Mishra, C.-C. Jay Kuo
Enhancing Edge Intelligence with Highly Discriminant LNT Features. CoRR (2023)
Tian Xie, Bin Wang, C.-C. Jay Kuo
GraphHop: An Enhanced Label Propagation Method for Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Yijing Yang, Hongyu Fu, C.-C. Jay Kuo
Design of supervision-scalable learning systems: Methodology and performance benchmarking. J. Vis. Commun. Image Represent. 96 (2023)
Zhiruo Zhou, Suya You, C.-C. Jay Kuo
Unsupervised Green Object Tracker (GOT) without Offline Pre-training. CoRR (2023)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR++: An Efficient and Tiny Model for Image Super-Resolution. APSIPA ASC (2023)
Xiou Ge, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo
Knowledge Graph Embedding: An Overview. CoRR (2023)
Xinyu Wang, Vinod K. Mishra, C.-C. Jay Kuo
Enhancing Edge Intelligence with Highly Discriminant LNT Features. BigData (2023)
Ganning Zhao, Vasileios Magoulianitis, Suya You, C.-C. Jay Kuo
LGSQE: Lightweight Generated Sample Quality Evaluation. ICIP (2023)
Chengwei Wei, Bin Wang, C.-C. Jay Kuo
Synwmd: Syntax-aware word Mover's distance for sentence similarity evaluation. Pattern Recognit. Lett. 170 (2023)
Xiou Ge, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo
Knowledge Graph Embedding with 3D Compound Geometric Transformations. CoRR (2023)
Hongyu Fu, Xinyu Wang, Vinod K. Mishra, C.-C. Jay Kuo
Subspace Learning Machine with Soft Partitioning (SLM/SP): Methodology and Performance Benchmarking. VCIP (2023)
Xiaokai Yi, Hanli Wang, Sam Kwong, C.-C. Jay Kuo
Task-Driven Video Compression for Humans and Machines: Framework Design and Optimization. IEEE Trans. Multim. 25 (2023)
Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo
Classification via Subspace Learning Machine (SLM): Methodology and Performance Evaluation. ICASSP (2023)
Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo
GreenKGC: A Lightweight Knowledge Graph Completion Method. ACL (1) (2023)
Yuncheng Wang, Jintang Xue, Chengwei Wei, C.-C. Jay Kuo
An Overview on Generative AI at Scale With Edge-Cloud Computing. IEEE Open J. Commun. Soc. 4 (2023)
Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo
A Tiny Machine Learning Model for Point Cloud Object Classification. CoRR (2023)
Ganning Zhao, Tingwei Shen, Suya You, C.-C. Jay Kuo
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints. CoRR (2023)
Yun Zhang, Keqin Ding, Na Li, Hanli Wang, Xiaoxia Huang, C.-C. Jay Kuo
Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression. IEEE Trans. Image Process. 32 (2023)
Yun-Cheng Wang, Jintang Xue, Chengwei Wei, C.-C. Jay Kuo
An Overview on Generative AI at Scale with Edge-Cloud Computing. CoRR (2023)
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI. CoRR (2023)
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, C.-C. Jay Kuo, Iacopo Masi
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier. AAAI (2023)
C.-C. Jay Kuo, Azad M. Madni
Green learning: Introduction, examples and outlook. J. Vis. Commun. Image Represent. 90 (2023)
Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C.-C. Jay Kuo
Green Steganalyzer: A Green Learning Approach to Image Steganalysis. CoRR (2023)
Pranav Kadam, Jiahao Gu, Shan Liu, C.-C. Jay Kuo
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds. CoRR (2023)
Ganning Zhao, Wenhui Cui, Suya You, C.-C. Jay Kuo
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment. CoRR (2023)
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Successive Subspace Learning for Cardiac Disease Classification with Two-Phase Deformation Fields from Cine MRI. ISBI (2023)
Yun-Cheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations. CoRR (2023)
Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. ICASSP (2023)
Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. CoRR (2023)
Yun Zhang, Linwei Zhu, Gangyi Jiang, Sam Kwong, C.-C. Jay Kuo
A Survey on Perceptually Optimized Video Coding. ACM Comput. Surv. 55 (12) (2023)
Wei Wang, Xuejing Lei, Yueru Chen, Ming-Sui Lee, C.-C. Jay Kuo
LSR: A Light-Weight Super-Resolution Method. CoRR (2023)
Xiou Ge, Yun-Cheng Wang, Bin Wang, C.-C. Jay Kuo
Compounding Geometric Operations for Knowledge Graph Completion. ACL (1) (2023)
Zifei Jiang, Wei Li, Yan Huang, Yilong Yin, C.-C. Jay Kuo, Jingliang Peng
PESTA: An Elastic Motion Capture Data Retrieval Method. J. Comput. Sci. Technol. 38 (4) (2023)
Zhisen Tang, Hanli Wang, Xiaokai Yi, Yun Zhang, Sam Kwong, C.-C. Jay Kuo
Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression. IEEE Trans. Circuits Syst. Video Technol. 33 (1) (2023)
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
Label Efficient Regularization and Propagation for Graph Node Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Qingyang Zhou, Shan Liu, C.-C. Jay Kuo
GPCGC: A Green Point Cloud Geometry Coding Method. ICIP (2023)
Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C.-C. Jay Kuo
Bias and Fairness in Chatbots: An Overview. CoRR (2023)
Chengwei Wei, C.-C. Jay Kuo, Rafael Luiz Testa, Ariane Machado-Lima, Fátima L. S. Nunes
ExpressionHop: A Lightweight Human Facial Expression Classifier. MIPR (2022)
C.-C. Jay Kuo, Azad M. Madni
Green Learning: Introduction, Examples and Outlook. CoRR (2022)
Yao Zhu, Xinyu Wang, Hong-Shuo Chen, Ronald Salloum, C.-C. Jay Kuo
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector. ICASSP (2022)
Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C.-C. Jay Kuo
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem. CoRR (2022)
Yijing Yang, Hongyu Fu, C.-C. Jay Kuo
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking. CoRR (2022)
Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method. IEEE Trans. Image Process. 31 (2022)
Zohreh Azizi, C.-C. Jay Kuo
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation. CoRR (2022)
Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo
GraphHop++: New Insights into GraphHop and Its Enhancement. CoRR (2022)
Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training. CoRR (2022)
Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Subtype-Aware Dynamic Unsupervised Domain Adaptation. CoRR (2022)
Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu, Suya You, C.-C. Jay Kuo
Fake Satellite Image Detection via Parallel Subspace Learning (PSL). ISCAS (2022)
Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method. MMSP (2022)
Bin Wang, C.-C. Jay Kuo, Haizhou Li
Just Rank: Rethinking Evaluation with Word and Sentence Similarities. CoRR (2022)
Chengwei Wei, Bin Wang, C.-C. Jay Kuo
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation. CoRR (2022)
Yifan Wang, Zhanxuan Mei, Ioannis Katsavounidis, C.-C. Jay Kuo
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ). CoRR (2022)
Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C.-C. Jay Kuo
Statistical Attention Localization (SAL): Methodology and Application to Object Classification. CoRR (2022)
Xuejing Lei, Wei Wang, C.-C. Jay Kuo
GENHOP: An Image Generation Method Based on Successive Subspace Learning. CoRR (2022)
Bin Wang, C.-C. Jay Kuo, Haizhou Li
Just Rank: Rethinking Evaluation with Word and Sentence Similarities. ACL (1) (2022)
Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences. CoRR (2022)
Ronald Salloum, C.-C. Jay Kuo
cPCA++: An efficient method for contrastive feature learning. Pattern Recognit. 124 (2022)
Zhiruo Zhou, Hongyu Fu, Suya You, C.-C. Jay Kuo
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences. MMSP (2022)
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. MICCAI (5) (2022)
Zhanxuan Mei, Yun-Cheng Wang, Xingze He, C.-C. Jay Kuo
GreenBIQA: A Lightweight Blind Image Quality Assessment Method. MMSP (2022)
Kaitai Zhang, Bin Wang, C.-C. Jay Kuo
PEDENet: Image anomaly localization via patch embedding and density estimation. Pattern Recognit. Lett. 153 (2022)
Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training. MICCAI (5) (2022)
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C.-C. Jay Kuo, Iacopo Masi
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier. CoRR (2022)
Yun Zhang, Huanhua Liu, You Yang, Xiaoping Fan, Sam Kwong, C.-C. Jay Kuo
Deep Learning Based Just Noticeable Difference and Perceptual Quality Prediction Models for Compressed Video. IEEE Trans. Circuits Syst. Video Technol. 32 (3) (2022)
Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. ICPR (2022)
Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. CoRR (2022)
Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network. CoRR (2022)
Xiaofeng Liu, Chao Yang, Jane You, C.-C. Jay Kuo, B. V. K. Vijaya Kumar
Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Yeji Shen, Yuhang Song, Chihao Wu, C.-C. Jay Kuo
TBAL: Two-stage batch-mode active learning for image classification. Signal Process. Image Commun. 106 (2022)
Vasileios Magoulianitis, Peida Han, Yijing Yang, C.-C. Jay Kuo
An Unsupervised Parameter-Free Nuclei Segmentation Method for Histology Images. ICIP (2022)
Hong-Shuo Chen, Shuowen Hu, Suya You, C.-C. Jay Kuo
DefakeHop++: An Enhanced Lightweight Deepfake Detector. CoRR (2022)
Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. IVMSP (2022)
Xuejing Lei, Wei Wang, C.-C. Jay Kuo
GENHOP: An Image Generation Method Based on Successive Subspace Learning. ISCAS (2022)
Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. Pattern Recognit. Lett. 164 (2022)
Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. CoRR (2022)
Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations. CoRR (2022)
Na Li, Yun Zhang, C.-C. Jay Kuo
High Efficiency Intra Video Coding Based on Data-Driven Transform. IEEE Trans. Broadcast. 68 (2) (2022)
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model. CoRR (2022)
Zohreh Azizi, C.-C. Jay Kuo
SALVE: Self-supervised Adaptive Low-light Video Enhancement. CoRR (2022)
Chengwei Wei, Bin Wang, C.-C. Jay Kuo
Task-specific dependency-based word embedding methods. Pattern Recognit. Lett. 159 (2022)
Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. CoRR (2022)
Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo
KGBoost: A classification-based knowledge base completion method with negative sampling. Pattern Recognit. Lett. 157 (2022)
Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. ICIP (2022)
Yijing Yang, Wei Wang, Hongyu Fu, C.-C. Jay Kuo
On Supervised Feature Selection from High Dimensional Feature Spaces. CoRR (2022)
Hongyu Fu, Yijing Yang, Vinod K. Mishra, C.-C. Jay Kuo
Subspace Learning Machine (SLM): Methodology and Performance. CoRR (2022)
Vasileios Magoulianitis, Yijing Yang, C.-C. Jay Kuo
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation. CoRR (2022)
Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network. ACM Multimedia (2022)
Xiou Ge, Yuncheng Wang, Bin Wang, C.-C. Jay Kuo
CORE: A knowledge graph entity type prediction method via complex space regression and embedding. Pattern Recognit. Lett. 157 (2022)
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 (2022)
Fangxu Xing, Xiaofeng Liu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo
GreenKGC: A Lightweight Knowledge Graph Completion Method. CoRR (2022)
Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. AAAI (2021)

C.-C. Jay Kuo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

C.-C. Jay Kuo