Jing Han
Jing Han
Verified email at informatik.uni-augsburg.de - Homepage
TitleCited byYear
Facing realism in spontaneous emotion recognition from speech: Feature enhancement by autoencoder with LSTM neural networks
Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller
From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty
J Han, Z Zhang, M Schmitt, M Pantic, B Schuller
ACM Multimedia, 890-897, 2017
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace
H Sagha, J Deng, M Gavryukova, J Han, B Schuller
2016 IEEE international conference on acoustics, speech and signal …, 2016
Strength modelling for real-world automatic continuous affect recognition from audiovisual signals
J Han, Z Zhang, N Cummins, F Ringeval, B Schuller
Image and Vision Computing 65, 76-86, 2017
Prediction-based learning for continuous emotion recognition in speech
J Han, Z Zhang, F Ringeval, B Schuller
2017 IEEE international conference on acoustics, speech and signal …, 2017
The university of passau open emotion recognition system for the multimodal emotion challenge
J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller
Chinese Conference on Pattern Recognition, 652-666, 2016
Reconstruction-error-based learning for continuous emotion recognition in speech
J Han, Z Zhang, F Ringeval, B Schuller
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild
J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning
Z Zhang, J Han, J Deng, X Xu, F Ringeval, B Schuller
IEEE Access 6, 22196-22209, 2018
Towards conditional adversarial training for predicting emotions from speech
J Han, Z Zhang, Z Ren, F Ringeval, B Schuller
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2018
Learning image-based representations for heart sound classification
Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller
Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives
J Han, Z Zhang, N Cummins, B Schuller
IEEE Computational Intelligence Magazine, 2019
Learning audio sequence representations for acoustic event classification
Z Zhang, D Liu, J Han, B Schuller
arXiv preprint arXiv:1707.08729, 2017
ExPerio—Exploiting periodicity for opportunistic energy-efficient data transmission
P Kindt, H Jing, N Peters, S Chakraborty
2015 IEEE Conference on Computer Communications (INFOCOM), 82-90, 2015
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Z Zhang, J Han, E Coutinho, B Schuller
IEEE Transactions on Multimedia 20, 2018
Scaling Speech Enhancement in Unseen Environments with Noise Embeddings
G Keren, J Han, B Schuller
Proceedings The 5th International Workshop on Speech Processing in Everyday …, 2018
Attention-based Atrous Convolutional Neural Networks: Visualisation AND Understanding Perspectives of Acoustic Scenes
Z Ren, Q Kong, J Han, M Plumbley, BW Schuller
ICASSP 2019- 2019 Proceedings IEEE International Conference on Acoustics …, 2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesised Data
Z Zhang, J Han, K Qian, C Janott, Y Guo, B Schuller
IEEE Journal of Biomedical and Health Informatics, 11 pages, 2019
Emotion Recognition in Speech with Latent Discriminative Representations Learning
J Han, Z Zhang, G Keren, B Schuller
Acta Acustica united with Acustica 104, 737-740, 2018
Exploring A New Method for Food Likability Rating Based on DT-CWT Theory
Y Guo, J Han, Z Zhang, B Schuller, Y Ma
Proc. International Conference on Multimodal Interaction (ICMI), 2018
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