Seungbae Kim

Seungbae Kim

University of California, Los Angeles

H-index: 11

North America-United States

About Seungbae Kim

Seungbae Kim, With an exceptional h-index of 11 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Artificial Intelligence, Data Mining, Social Network Analysis.

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

A Dual-Prompting for Interpretable Mental Health Language Models

Rethinking Artificial Intelligence: Algorithmic Bias and Ethical Issues| Algorithmic Bias or Algorithmic Reconstruction? A Comparative Analysis Between AI News and Human News

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

InfluencerRank: Discovering effective influencers via graph convolutional attentive recurrent neural networks

Fairgrape: Fairness-aware gradient pruning method for face attribute classification

D-vlog: Multimodal vlog dataset for depression detection

Importance of Social Network Structures in Influencer Marketing

Seungbae Kim Information

University

Position

PhD Student Computer Science Department

Citations(all)

353

Citations(since 2020)

225

Cited By

177

hIndex(all)

11

hIndex(since 2020)

9

i10Index(all)

12

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Seungbae Kim Skills & Research Interests

Artificial Intelligence

Data Mining

Social Network Analysis

Top articles of Seungbae Kim

A Dual-Prompting for Interpretable Mental Health Language Models

arXiv preprint arXiv:2402.14854

2024/2/20

Rethinking Artificial Intelligence: Algorithmic Bias and Ethical Issues| Algorithmic Bias or Algorithmic Reconstruction? A Comparative Analysis Between AI News and Human News

International Journal of Communication

2023/12/26

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

arXiv preprint arXiv:2310.11710

2023/10/18

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

2023/8/6

InfluencerRank: Discovering effective influencers via graph convolutional attentive recurrent neural networks

Proceedings of the International AAAI Conference on Web and Social Media

2023/6/2

Fairgrape: Fairness-aware gradient pruning method for face attribute classification

2022/10/23

Seungbae Kim
Seungbae Kim

H-Index: 5

Jungseock Joo
Jungseock Joo

H-Index: 13

D-vlog: Multimodal vlog dataset for depression detection

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Importance of Social Network Structures in Influencer Marketing

2022

Pankhuri Malhotra
Pankhuri Malhotra

H-Index: 0

Seungbae Kim
Seungbae Kim

H-Index: 5

Using social network structures to predict user engagement: the importance of social ties in influencer marketing

AMA Summer Academic Conference

2022

Explaining deep convolutional neural networks via latent visual-semantic filter attention

2022

Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning

Proceedings of the International AAAI Conference on Web and Social Media

2021/5/22

Discovering undisclosed paid partnership on social media via aspect-attentive sponsored post learning

2021/3/8

Modeling and Discovering Authentic and Effective Influencers on Social Media via Graph Neural Network Learning

2021

Seungbae Kim
Seungbae Kim

H-Index: 5

Multimodal post attentive profiling for influencer marketing

2020/4/20

Detecting engagement bots on social influencer marketing

2020

Seungbae Kim
Seungbae Kim

H-Index: 5

Jinyoung Han
Jinyoung Han

H-Index: 12

See List of Professors in Seungbae Kim University(University of California, Los Angeles)

Co-Authors

academic-engine