most citedUncovering Insurance Fraud Conspiracy with Network Learning

49 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

cs.CR202049 cited

Uncovering Insurance Fraud Conspiracy with Network Learning

Chen Liang, Ziqi Liu, Bin Liu +4

Fraudulent claim detection is one of the greatest challenges the insurance industry faces. Alibaba's return-freight insurance, providing return-shipping postage compensations over…

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…