Personal profile

Overview

I am a PhD student in the Machine Learning Group, Department of Computer Science, University of Manchester. I graduated from the University of Glasgow and Harbin Engineering University. I was a member of the Heilongjiang Artificial Intelligence Federation (2018-2019, Harbin, China). My research is currently focusing on studies related to disentangled speech representation models. I also worked on Natural Language Processing (NLP) and Transformer-based models such as Large Language Models (LLM). 

Research interests

My research involves several aspects, including speech encoding, acoustic perception, information component analysis, disentangled representation designing, and interpretable machine learning theory. I am also interested in processing unstructured data and extracting structured information.

Methodological knowledge

My research foundations include representation learning, information theory (especially mutual information), time series, unsupervised paradigms, contrastive learning, manifold theory, Gauss/Bayesian theory, neural networks, and more in the machine learning field.

My group

MLOR, G33 Kilburn Building, University of Manchester. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Education/Academic qualification

Master of Science, Computing Science, University of Glasgow

11 Jan 202116 Jan 2022

Award Date: 7 Apr 2022

Bachelor of Engineering, Internet of Things Engineering, Harbin Engineering University

25 Aug 201528 Jun 2019

Award Date: 28 Jun 2019

Keywords

  • Machine Learning
  • Speech & Language Processing
  • Disentangled Representation Learning

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