C.-C. Jay Kuo

C.-C. Jay Kuo

University of Southern California

H-index: 100

North America-United States

About C.-C. Jay Kuo

C.-C. Jay Kuo, With an exceptional h-index of 100 and a recent h-index of 57 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Multimedia, Visual Computing, Video Coding, Green AI, Green Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment

Recovering sign bits of DCT coefficients in digital images as an optimization problem

GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method

Knowledge Graph Embedding: An Overview

GWPT: A Green Word-Embedding-based POS Tagger

PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation

American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning

Knowledge Graph Embedding with 3D Compound Geometric Transformations

C.-C. Jay Kuo Information

University

Position

William H. Hogue Professor in ECE

Citations(all)

47133

Citations(since 2020)

14409

Cited By

40951

hIndex(all)

100

hIndex(since 2020)

57

i10Index(all)

681

i10Index(since 2020)

261

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

C.-C. Jay Kuo Skills & Research Interests

Multimedia

Visual Computing

Video Coding

Green AI

Green Learning

Top articles of C.-C. Jay Kuo

Title

Journal

Author(s)

Publication Date

SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment

Ganning Zhao

Wenhui Cui

Suya You

C-C Jay Kuo

2023/10/8

Recovering sign bits of DCT coefficients in digital images as an optimization problem

Journal of Visual Communication and Image Representation

Ruiyuan Lin

Sheng Liu

Jun Jiang

Shujun Li

Chengqing Li

...

2024/2/1

GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method

arXiv preprint arXiv:2404.00253

Zhanxuan Mei

Yun-Cheng Wang

C-C Jay Kuo

2024/3/30

Knowledge Graph Embedding: An Overview

Xiou Ge

Yun Cheng Wang

Bin Wang

C-C Jay Kuo

2024

GWPT: A Green Word-Embedding-based POS Tagger

arXiv preprint arXiv:2401.07475

Chengwei Wei

Runqi Pang

C-C Jay Kuo

2024/1/15

PCa-RadHop: A Transparent and Lightweight Feed-forward Method for Clinically Significant Prostate Cancer Segmentation

arXiv preprint arXiv:2403.15969

Vasileios Magoulianitis

Jiaxin Yang

Yijing Yang

Jintang Xue

Masatomo Kaneko

...

2024/3/24

American Sign language fingerspelling recognition in the wild with spatio temporal feature extraction and multi-task learning

arXiv preprint arXiv:1608.08339

Taehwan Kim

2016/8/30

Knowledge Graph Embedding with 3D Compound Geometric Transformations

APSIPA Transactions on Signal and Information Processing

Xiou Ge

Yun Cheng Wang

Bin Wang

C-C Jay Kuo

2024

Gift: A Green Image Forgery Tracker

C. Jay, Gift: A Green Image Forgery Tracker

Hong-Shuo Chen

Yao Zhu

Chee-An Yu

Ronald Salloum

C-C Jay Kuo

2024

PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation

arXiv preprint arXiv:2403.15971

Yijing Yang

Vasileios Magoulianitis

Jiaxin Yang

Jintang Xue

Masatomo Kaneko

...

2024/3/24

PD36-11 A NOVEL LIGHTWEIGHT MACHINE LEARNING MODEL FOR AUTOMATED RECLASSIFICATION OF THE INDEX LESION ON BIPARAMETRIC PROSTATE MRI

The Journal of Urology

Giovanni E Cacciamani

Masatomo Kaneko

Vasileios Magoulianitis

Jiaxin Yang

Yijing Yang

...

2024/5

A Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated Samples

Ganning Zhao

Vasileios Magoulianitis

Suya You

C-C Jay Kuo

2024

Subspace learning machine (SLM): Methodology and performance evaluation

arXiv preprint arXiv:2205.05296

Hongyu Fu

Yijing Yang

Vinod K Mishra

C-C Jay Kuo

2022/5/11

A Green Learning Approach to Spoofed Speech Detection

Chengwei Wei

Runqi Pang

C-C Jay Kuo

2024/4/14

Multi-Scale Self-Attention Network for Denoising Medical Images

APSIPA Transactions on Signal and Information Processing

Kyungsu Lee

Haeyun Lee

Moon Hwan Lee

Jin Ho Chang

C-C Jay Kuo

...

2024

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics

Masatomo Kaneko

Vasileios Magoulianitis

Lorenzo Storino Ramacciotti

Alex Raman

Divyangi Paralkar

...

2024/2/1

Treatment-wise glioblastoma survival Inference with multi-parametric preoperative MRI

Xiaofeng Liu

Nadya Shusharina

Helen A Shih

C-C Jay Kuo

Georges El Fakhri

...

2024/4/3

Magic: Mask-guided image synthesis by inverting a quasi-robust classifier

Proceedings of the AAAI conference on artificial intelligence 37, 2023

Mozhdeh Rouhsedaghat

Masoud Monajatipoor

Kai-Wei Chang

C-C Jay Kuo

Iacopo Masi

2022/9/23

Classification via subspace learning machine (slm): Methodology and performance evaluation

Hongyu Fu

Yijing Yang

Vinod K Mishra

C-C Jay Kuo

2023/6/4

Bias and fairness in chatbots: An overview

Jintang Xue

Yun-Cheng Wang

Chengwei Wei

Xiaofeng Liu

Jonghye Woo

...

2023/9/16

See List of Professors in C.-C. Jay Kuo University(University of Southern California)

Co-Authors

H-index: 106
Shrikanth (Shri) Narayanan

Shrikanth (Shri) Narayanan

University of Southern California

H-index: 87
Weisi Lin

Weisi Lin

Nanyang Technological University

H-index: 80
Sam Kwong

Sam Kwong

City University of Hong Kong

H-index: 50
Chang-Su Kim

Chang-Su Kim

Korea University

H-index: 27
Sunil Kumar

Sunil Kumar

San Diego State University

H-index: 27
Jonghye Woo

Jonghye Woo

Harvard University

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