| 2025 | ICCV | Head2Body: Body Pose Generation from Multi-Sensory Head-Mounted Inputs. | Minh Tran, Hongda Mao, Qingshuang Chen, Yelin Kim |
| 2025 | ICCV | Efficient Visual Place Recognition Through Multimodal Semantic Knowledge Integration. | Sitao Zhang, Hongda Mao, Qingshuang Chen, Yelin Kim |
| 2024 | ECCV | Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding. | Minh Tran, Yelin Kim, Che-Chun Su, Cheng-Hao Kuo, Min Sun, Mohammad Soleymani |
| 2021 | Interspeech | Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition. | Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth S. Narayanan |
| 2020 | Interspeech | Speech Sentiment and Customer Satisfaction Estimation in Socialbot Conversations. | Yelin Kim, Joshua Levy, Yang Liu |
| 2020 | MMM | Face Tells Detailed Expression: Generating Comprehensive Facial Expression Sentence Through Facial Action Units. | Joanna Hong, Hong Joo Lee, Yelin Kim, Yong Man Ro |
| 2018 | ICASSP | Human-Like Emotion Recognition: Multi-Label Learning from Noisy Labeled Audio-Visual Expressive Speech. | Yelin Kim, Jeesun Kim |
| 2018 | ICMI | Joint Discrete and Continuous Emotion Prediction Using Ensemble and End-to-End Approaches. | Ehab Albadawy, Yelin Kim |
| 2016 | ICMI | Wild wild emotion: a multimodal ensemble approach. | John Gideon, Biqiao Zhang, Zakaria Aldeneh, Yelin Kim, Soheil Khorram, Duc Le, Emily Mower Provost |
| 2016 | ICMI | Emotion spotting: discovering regions of evidence in audio-visual emotion expressions. | Yelin Kim, Emily Mower Provost |
| 2015 | ACII | Exploring sources of variation in human behavioral data: Towards automatic audio-visual emotion recognition. | Yelin Kim |
| 2015 | ACII | Leveraging inter-rater agreement for audio-visual emotion recognition. | Yelin Kim, Emily Mower Provost |
| 2013 | ICASSP | Deep learning for robust feature generation in audiovisual emotion recognition. | Yelin Kim, Honglak Lee, Emily Mower Provost |
| 2013 | ICASSP | Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions. | Yelin Kim, Emily Mower Provost |