Chaoning Zhang

Chaoning Zhang

KAIST

H-index: 26

Asia-South Korea

About Chaoning Zhang

Chaoning Zhang, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at KAIST, specializes in the field of Computer vision, Trustworthy AI, Efficient AI, Generative AI (AIGC).

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

Sora as an agi world model? a complete survey on text-to-video generation

Towards efficient image compression without autoregressive models

CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning

Swin transformer-based dynamic semantic communication for multi-user with different computing capacity

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

Towards Understanding Dual BN In Hybrid Adversarial Training

A survey on graph diffusion models: Generative ai in science for molecule, protein and material

CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution

Chaoning Zhang Information

University

Position

___

Citations(all)

1960

Citations(since 2020)

1934

Cited By

190

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

39

i10Index(since 2020)

38

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Chaoning Zhang Skills & Research Interests

Computer vision

Trustworthy AI

Efficient AI

Generative AI (AIGC)

Top articles of Chaoning Zhang

Title

Journal

Author(s)

Publication Date

Sora as an agi world model? a complete survey on text-to-video generation

arXiv preprint arXiv:2403.05131

Joseph Cho

Fachrina Dewi Puspitasari

Sheng Zheng

Jingyao Zheng

Lik-Hang Lee

...

2024/3/8

Towards efficient image compression without autoregressive models

Advances in Neural Information Processing Systems

Muhammad Salman Ali

Yeongwoong Kim

Maryam Qamar

Sung-Chang Lim

Donghyun Kim

...

2024/2/13

CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning

Engineering Applications of Artificial Intelligence

Huy Q Le

Minh NH Nguyen

Shashi Raj Pandey

Chaoning Zhang

Choong Seon Hong

2024/7/1

Swin transformer-based dynamic semantic communication for multi-user with different computing capacity

arXiv preprint arXiv:2307.03402

Loc X Nguyen

Ye Lin Tun

Yan Kyaw Tun

Minh NH Nguyen

Chaoning Zhang

...

2023/7/7

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

arXiv preprint arXiv:2404.09259

Yu Qiao

Huy Q Le

Mengchun Zhang

Apurba Adhikary

Chaoning Zhang

...

2024/4/14

Towards Understanding Dual BN In Hybrid Adversarial Training

arXiv preprint arXiv:2403.19150

Chenshuang Zhang

Chaoning Zhang

Kang Zhang

Axi Niu

Junmo Kim

...

2024/3/28

A survey on graph diffusion models: Generative ai in science for molecule, protein and material

arXiv preprint arXiv:2304.01565

Mengchun Zhang

Maryam Qamar

Taegoo Kang

Yuna Jung

Chenshuang Zhang

...

2023/4/4

CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution

arXiv preprint arXiv:2309.05375

Chenghao Li

Chaoning Zhang

2023/9/11

Simple Techniques are Sufficient for Boosting Adversarial Transferability

Chaoning Zhang

Philipp Benz

Adil Karjauv

In So Kweon

Choong Seon Hong

2023/10/26

Segment anything meets semantic communication

arXiv preprint arXiv:2306.02094

Shehbaz Tariq

Brian Estadimas Arfeto

Chaoning Zhang

Hyundong Shin

2023/6/3

Faster segment anything: Towards lightweight sam for mobile applications

arXiv preprint arXiv:2306.14289

Chaoning Zhang

Dongshen Han

Yu Qiao

Jung Uk Kim

Sung-Ho Bae

...

2023/6/25

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

arXiv preprint arXiv:2305.06131

Chenghao Li

Chaoning Zhang

Atish Waghwase

Lik-Hang Lee

Francois Rameau

...

2023/5/10

A survey on audio diffusion models: Text to speech synthesis and enhancement in generative ai

arXiv preprint arXiv:2303.13336

Chenshuang Zhang

Chaoning Zhang

Sheng Zheng

Mengchun Zhang

Maryam Qamar

...

2023/3

Attack-sam: Towards evaluating adversarial robustness of segment anything model

arXiv preprint arXiv:2305.00866

Chenshuang Zhang

Chaoning Zhang

Taegoo Kang

Donghun Kim

Sung-Ho Bae

...

2023/4/29

Knowledge Distillation in Federated Learning: Where and How to Distill?

Yu Qiao

Chaoning Zhang

Huy Q Le

Avi Deb Raha

Apurba Adhikary

...

2023/9/6

Federated learning with diffusion models for privacy-sensitive vision tasks

Ye Lin Tun

Chu Myaet Thwal

Ji Su Yoon

Sun Moo Kang

Chaoning Zhang

...

2023/10/19

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning

arXiv preprint arXiv:2307.13214

Huy Q Le

Minh NH Nguyen

Chu Myaet Thwal

Yu Qiao

Chaoning Zhang

...

2023/7/25

DimCL: Dimensional contrastive learning for improving self-supervised learning

IEEE Access

Thanh Nguyen

Trung Xuan Pham

Chaoning Zhang

Tung M Luu

Thang Vu

...

2023/1/11

A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?

Chaoning Zhang

Chenshuang Zhang

Sheng Zheng

Yu Qiao

Chenghao Li

...

2023/3/21

What if we have MetaGPT? from content singularity to human-metaverse interaction in AIGC era

arXiv preprint arXiv:2304.07521

Lik-Hang Lee

Pengyuan Zhou

Chaoning Zhang

Simo Hosio

2023/4/15

See List of Professors in Chaoning Zhang University(KAIST)

Co-Authors

H-index: 83
In So Kweon

In So Kweon

KAIST

H-index: 68
Choong Seon Hong, FIEEE

Choong Seon Hong, FIEEE

Kyung Hee University

H-index: 54
Martin de Jong

Martin de Jong

Erasmus Universiteit Rotterdam

H-index: 54
weiming zhang

weiming zhang

University of Science and Technology of China

H-index: 29
Jean-Charles Bazin

Jean-Charles Bazin

KAIST

H-index: 25
Sung-Ho Bae

Sung-Ho Bae

Kyung Hee University

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