19 citations · 42 across the 8 of their papers we have counts for
8 papers
Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders
Seungbae Kim, Daeun Lee, Brielle Stark +1
Individuals with language disorders often face significant communication challenges due to their limited language processing and comprehension abilities, which also affect their in…
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Juho Jung, Chaewon Kang, Jeewoo Yoon +2
The utilization of automated depression detection significantly enhances early intervention for individuals experiencing depression. Despite numerous proposals on automated depress…
A Dual-Prompting for Interpretable Mental Health Language Models
Hyolim Jeon, Dongje Yoo, Daeun Lee +3
Despite the increasing demand for AI-based mental health monitoring tools, their practical utility for clinicians is limited by the lack of interpretability.The CLPsych 2024 Shared…
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
Daeun Lee, Sejung Son, Hyolim Jeon +2
Aphasia, a language disorder resulting from brain damage, requires accurate identification of specific aphasia types, such as Broca's and Wernicke's aphasia, for effective treatmen…
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
Daeun Lee, Sejung Son, Hyolim Jeon +2
Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD pat…
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks
Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han +1
As influencers play considerable roles in social media marketing, companies increase the budget for influencer marketing. Hiring effective influencers is crucial in social influenc…
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiaofeng Lin, Seungbae Kim, Jungseock Joo
Existing pruning techniques preserve deep neural networks' overall ability to make correct predictions but may also amplify hidden biases during the compression process. We propose…
An Empirical Study on Content Bundling in BitTorrent Swarming System
Jinyoung Han, Taejoong Chung, Seungbae Kim +3
Despite the tremendous success of BitTorrent, its swarming system suffers from a fundamental limitation: lower or no availability of unpopular contents. Recently, Menasche et al. h…