Seungbae Kim

According to our database, Seungbae Kim authored at least 26 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Dual-Prompting for Interpretable Mental Health Language Models.

Hyolim Jeon, Dongje Yoo, Daeun Lee, Sejung Son, Seungbae Kim, Jinyoung Han

CoRR, 2024

Detecting Bipolar Disorder from Misdiagnosed Major Depressive Disorder with Mood-Aware Multi-Task Learning.

Daeun Lee, Hyolim Jeon, Sejung Son, Chaewon Park, Ji Hyun An, Seungbae Kim, Jinyoung Han

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection.

Juho Jung, Chaewon Kang, Jeewoo Yoon, Seungbae Kim, Jinyoung Han

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks.

Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection.

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Importance of Social Network Structures in Influencer Marketing.

Pankhuri Malhotra, Remi Daviet, Seungbae Kim

Proceedings of the 43rd International Conference on Information Systems, 2022

FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification.

Xiaofeng Lin, Seungbae Kim, Jungseock Joo

Proceedings of the Computer Vision - ECCV 2022, 2022

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention.

Yu Yang, Seungbae Kim, Jungseock Joo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

D-vlog: Multimodal Vlog Dataset for Depression Detection.

Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Seungbae Kim

PhD thesis, 2021

Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning.

Seungbae Kim, Jyun-Yu Jiang, Wei Wang

Proceedings of the WSDM '21, 2021

Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.

Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Multimodal Post Attentive Profiling for Influencer Marketing.

Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, Wei Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Detecting Engagement Bots on Social Influencer Marketing.

Seungbae Kim, Jinyoung Han

Proceedings of the Social Informatics - 12th International Conference, 2020

2019

How do influencers mention brands in social media?: sponsorship prediction of Instagram posts.

Xiao Yang, Seungbae Kim, Yizhou Sun

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Hitchhiker: A Wireless Routing Protocol in a Delay Tolerant Network Using Density-Based Clustering.

Sara Melvin, Jonathan Lin, Seungbae Kim, Mario Gerla

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Promoting Cooperative Strategies on Proof-of-Work Blockchain.

Seunghyun Yoo, Seungbae Kim, Joshua Joy, Mario Gerla

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

How Are Social Influencers Connected in Instagram?

Seungbae Kim, Jinyoung Han, Seunghyun Yoo, Mario Gerla

Proceedings of the Social Informatics, 2017

2014

Strategic bundling for content availability and fast distribution in BitTorrent.

Jinyoung Han, Taejoong Chung, Seungbae Kim, Hyunchul Kim, Jussi Kangasharju, Ted Taekyoung Kwon, Yanghee Choi

Comput. Commun., 2014

2012

Bundling practice in BitTorrent: what, how, and why.

Jinyoung Han, Seungbae Kim, Taejoong Chung, Ted Taekyoung Kwon, Hyunchul Kim, Yanghee Choi

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Content Publishing and Downloading Practice in BitTorrent.

Seungbae Kim, Jinyoung Han, Taejoong Chung, Hyunchul Kim, Ted Taekyoung Kwon, Yanghee Choi

Proceedings of the NETWORKING 2012, 2012

2011

How prevalent is content bundling in BitTorrent.

Jinyoung Han, Taejoong Chung, Seungbae Kim, Ted Taekyoung Kwon, Hyunchul Kim, Yanghee Choi

Proceedings of the SIGMETRICS 2011, 2011

Unveiling the BitTorrent Performance in Mobile WiMAX Networks.

Xiaofei Wang, Seungbae Kim, Ted Taekyoung Kwon, Hyunchul Kim, Yanghee Choi

Proceedings of the Passive and Active Measurement - 12th International Conference, 2011

2010

An Empirical Study on Content Bundling in BitTorrent Swarming System

Jinyoung Han, Taejoong Chung, Seungbae Kim, Hyunchul Kim, Ted Taekyoung Kwon, Yanghee Choi

CoRR, 2010

Measurement and Analysis of BitTorrent Traffic in Mobile WiMAX Networks.

Seungbae Kim, Xiaofei Wang, Hyunchul Kim, Taekyoung Kwon, Yanghee Choi

Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010