Journal Papers

1. K. Feng and T. Chaspari, “Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation,” IEEE Transactions on Affective Computing (TAFFC), DOI: 10.1109/TAFFC.2021.3109485
2. M. Yadav, Md. Sakib, E. H. Nirjhar, K. Feng, A. Behzadan and T. Chaspari, “Exploring individual differences of public speaking anxiety in real-life and virtual presentations,” IEEE Transactions on Affective Computing (TAFFC), DOI: 10.1109/TAFFC.2020.3048299
3. K. Feng and T. Chaspari, “A review of generalizable transfer learning in automatic emotion recognition,” Frontiers in Computer Science, DOI: 10.3389/fcomp.2020.00009

Selected Conference Papers

1. K. Feng, J. B. Duong, K. Carta, S. Walters, G. Margolin, A. C. Timmons, T. Chaspari, “A Semi-supervised Few-shot Learning Approach With Domain Adaptation for Personalized Stress Detection Within Dating Couples,” submitted to ICASSP 2023.
2. K. Feng and T. Chaspari, “A Knowledge-driven Vowel-based Approach of Depression Classification From Speech Using Data Augmentation,” submitted to ICASSP 2023.
3. K. Feng and T. Chaspari, “Toward Knowledge-driven Speech-Based Models of Depression: Leveraging Spectrotemporal Variations in Speech Vowels,” IEEE International Conference on Biomedical and Health Informatics (BHI 2022), Ioannina, Greece, September, 2022.
4. K. Feng, P. Zanwar, A. Behzadan, and T. Chaspari, “Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs,” ACM Multimedia-2020 workshop on Media Analytics for Societal Trends (MAST 2020), October 2020, DOI: 10.1145/3423268.3423584
5. M. Yadav, Md. Sakib, K. Feng, A. Behzadan and T. Chaspari, “Virtual reality interface and population-specific models to mitigate public speaking anxiety,” International Conference on Affective Computing and Intelligent Interaction (ACII 2019), Cambridge, United Kingdom, September 2019 (BEST PAPER NOMINATION), DOI: 10.1109/ACII.2019.8925509