Han, Jing

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Brown, C., Chauhan, J., Grammenos, A., Han, J., Hasthanasombat, A., Spathis, D., Xia, T., Cicuta, P., & Mascolo, C. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 447

Sewa db: A rich database for audio-visual emotion and sentiment research in the wild

Kossaifi, J., Walecki, R., Panagakis, Y., Shen, J., Schmitt, M., Ringeval, F., Han, J., Pandit, V., Toisoul, A., Schuller, B., et al. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 243

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Han, J., Xia, T., Spathis, D., Bondareva, E., Brown, C., Chauhan, J., Dang, T., Grammenos, A., Hasthanasombat, A., Floto, A., et al. (2022) · npj Digital Medicine

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 90

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Schuller, B. W., Batliner, A., Bergler, C., Mascolo, C., Han, J., Lefter, I., Kaya, H., Amiriparian, S., Baird, A., Stappen, L., et al. (2021) · Interspeech 2021

Speech Recognition and SynthesisEmotion and Mood Recognition

Cited by 89

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals

Han, J., Zhang, Z., Cummins, N., Ringeval, F., & Schuller, B. (2017) · Image and Vision Computing

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 53

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Xia, T., Han, J., Qendro, L., Dang, T., & Mascolo, C. (2021) · Interspeech 2021

Phonocardiography and Auscultation TechniquesCOVID-19 diagnosis using AI

Cited by 20