Keyan Ding

About Keyan Ding

Keyan Ding, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at City University of Hong Kong, specializes in the field of Computational Vision.

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

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

Learning invariant molecular representation in latent discrete space

Scientific large language models: A survey on biological & chemical domains

Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation

Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization

Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction

Instructprotein: Aligning human and protein language via knowledge instruction

Graph sampling-based meta-learning for molecular property prediction

Keyan Ding Information

University

Position

___

Citations(all)

1024

Citations(since 2020)

986

Cited By

185

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Keyan Ding Skills & Research Interests

Computational Vision

Top articles of Keyan Ding

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition

arXiv preprint arXiv:2404.08008

2024/4/10

Learning invariant molecular representation in latent discrete space

NeurIPS 2023

2023/10/22

Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluation

arXiv preprint arXiv:2401.08107

2024/1/16

Adaptive Structure and Texture Similarity Metric for Image Quality Assessment and Optimization

IEEE Transactions on Multimedia

2023/11/20

Prompting Meta-Learned Hierarchical Graph Network for Molecular Property Prediction

2023/11/18

Instructprotein: Aligning human and protein language via knowledge instruction

arXiv preprint arXiv:2310.03269

2023/10/5

Graph sampling-based meta-learning for molecular property prediction

IJCAI 2023

2023/6/29

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution

2023

Image quality assessment: Unifying structure and texture similarity

IEEE Transactions on Pattern Analysis and Machine Intelligence

2020/12/18

Locally adaptive structure and texture similarity for image quality assessment

2021/10/17

Comparison of full-reference image quality models for optimization of image processing systems

International Journal of Computer Vision

2021/4

See List of Professors in Keyan Ding University(City University of Hong Kong)

Co-Authors

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