most citedExpression Analysis Based on Face Regions in Read-world Conditions

64 citations · 161 across the 5 of their papers we have counts for

collaborators

7 papers

eess.AS20197 cited

Domain adversarial learning for emotion recognition

Zheng Lian, Jianhua Tao, Bin Liu +1

In practical applications for emotion recognition, users do not always exist in the training corpus. The mismatch between training speakers and testing speakers affects the perform…

eess.AS201917 cited

Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition

Zheng Lian, Jianhua Tao, Bin Liu +1

Prior works on speech emotion recognition utilize various unsupervised learning approaches to deal with low-resource samples. However, these methods pay less attention to modeling…

cs.CL201933 cited

Conversational Emotion Analysis via Attention Mechanisms

Zheng Lian, Jianhua Tao, Bin Liu +1

Different from the emotion recognition in individual utterances, we propose a multimodal learning framework using relation and dependencies among the utterances for conversational…

cs.CV201964 cited

Expression Analysis Based on Face Regions in Read-world Conditions

Zheng Lian, Ya Li, Jian-Hua Tao +2

Facial emotion recognition is an essential and important aspect of the field of human-machine interaction. Past research on facial emotion recognition focuses on the laboratory env…

cs.CV201940 cited

Speech Emotion Recognition via Contrastive Loss under Siamese Networks

Zheng Lian, Ya Li, Jianhua Tao +1

Speech emotion recognition is an important aspect of human-computer interaction. Prior work proposes various end-to-end models to improve the classification performance. However, m…

cs.LG2018

Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning

Zheng Lian, Ya Li, Jianhua Tao +1

I have submitted a new version to arXiv:1910.13806. I forget to choose to replace the old version, but submitted a new one. It's my mistake.