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Min Xiang

3 accepted papers

2020

Reciprocal Adversarial Learning via Characteristic Functions

NeurIPS 2020spotlight

Generative adversarial nets (GANs) have become a preferred tool for tasks involving complicated distributions. To stabilise the training and reduce the mode collapse of GANs, one of their main variants employs the integral probability metric (IPM) as the loss function. This provides extensive IPM-GA…

2019

Quaternion-Valued Adaptive Filtering via Nesterov's Extrapolation

ICASSP 2019accepted

A new quaternion-valued adaptive filtering algorithm based on extrapolated weight methods is proposed. The proposed algorithm belongs to the class of conjugate direction algorithms [1]. This class of extrapolation (momentum) based algorithms is preferred to RLS-based algorithms when the matrix inver…

Cited by 0SourceScholar
2016

Performance advantage of quaternion widely linear estimation: An approximate uncorrelating transform approach

ICASSP 2016accepted

Widely linear processing has been shown to be superior to the traditional strictly linear processing in quaternion minimum mean square error (MMSE) estimation. However, a quantifiable performance difference between strictly and widely linear processing and the relationship between the performance an…

Cited by 0SourceScholar