Deep learning for robust feature generation in audiovisual emotion recognition. - Yelin Kim; Honglak Lee; Emily Mower Provost (ICASSP, 2013)

Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions. - Yelin Kim; Emily Mower Provost (ICASSP, 2013)

Say Cheese vs. Smile: Reducing Speech-Related Variability for Facial Emotion Recognition. - Yelin Kim; Emily Mower Provost (ACM Multimedia, 2014)

Exploring sources of variation in human behavioral data: Towards automatic audio-visual emotion recognition. - Yelin Kim (ACII, 2015)

Leveraging inter-rater agreement for audio-visual emotion recognition. - Yelin Kim; Emily Mower Provost (ACII, 2015)

Modeling transition patterns between events for temporal human action segmentation and classification. - Yelin Kim; Jixu Chen; Ming-Ching Chang; Xin Wang 045; Emily Mower Provost; Siwei Lyu (FG, 2015)

Emotion Recognition During Speech Using Dynamics of Multiple Regions of the Face. - Yelin Kim; Emily Mower Provost (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Wild wild emotion: a multimodal ensemble approach. - John Gideon; Biqiao Zhang; Zakaria Aldeneh; Yelin Kim; Soheil Khorram; Duc Le; Emily Mower Provost (ICMI, 2016)

Emotion spotting: discovering regions of evidence in audio-visual emotion expressions. - Yelin Kim; Emily Mower Provost (ICMI, 2016)

Towards Socially Intelligent HRI Systems: Quantifying Emotional, Social, and Relational Context in Real-World Human Interactions. - Jesse Parent; Yelin Kim (AAAI Fall Symposia, 2017)

Evaluating Efficiency of Spatial Analysis in Cloud Computing Platforms (Short Paper). - Changlock Choi; Yelin Kim; Youngho Lee; Seong-Yun Hong (GIScience, 2018)

Human-Like Emotion Recognition: Multi-Label Learning from Noisy Labeled Audio-Visual Expressive Speech. - Yelin Kim; Jeesun Kim (ICASSP, 2018)

Joint Discrete and Continuous Emotion Prediction Using Ensemble and End-to-End Approaches. - Ehab Albadawy; Yelin Kim (ICMI, 2018)

Towards Emotionally Aware AI Smart Classroom: Current Issues and Directions for Engineering and Education. - Yelin Kim; Tolga Soyata; Reza Feyzi-Behnagh (IEEE Access, 2018)

Audio-Visual Emotion Forecasting: Characterizing and Predicting Future Emotion Using Deep Learning. - Sadat Shahriar; Yelin Kim (FG, 2019)

ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition. - Yelin Kim; Emily Mower Provost (IEEE Trans. Affect. Comput., 2019)

Speech Sentiment and Customer Satisfaction Estimation in Socialbot Conversations. - Yelin Kim; Joshua Levy; Yang Liu (INTERSPEECH, 2020)

Face Tells Detailed Expression: Generating Comprehensive Facial Expression Sentence Through Facial Action Units. - Joanna Hong; Hong Joo Lee 001; Yelin Kim; Yong Man Ro (MMM (2), 2020)

Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. - Haoqi Li; Yelin Kim; Cheng-Hao Kuo; Shrikanth S. Narayanan (Interspeech, 2021)

SAAML: A Framework for Semi-supervised Affective Adaptation via Metric Learning. - Minh Tran 004; Yelin Kim; Che-Chun Su; Cheng-Hao Kuo; Mohammad Soleymani 001 (ACM Multimedia, 2023)

Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding. - Minh Tran 004; Yelin Kim; Che-Chun Su; Cheng-Hao Kuo; Min Sun 001; Mohammad Soleymani 001 (ECCV (80), 2024)

Imagen 3. - Jason Baldridge; Jakob Bauer; Mukul Bhutani; Nicole Brichtova; Andrew Bunner; Kelvin Chan; Yichang Chen; Sander Dieleman; Yuqing Du; Zach Eaton-Rosen; Hongliang Fei; Nando de Freitas; et al. (CoRR, 2024)

Detection of breath cycles in pediatric lung sounds via an object detection-based transfer learning method. - Sa-Yoon Park; Ji Soo Park; Jisoo Lee; Hyesu Lee; Yelin Kim; Dong In Suh; Kwangsoo Kim (Biomed. Signal Process. Control., 2025)