About me

I’m a 5th-year Ph.D. student from the Department of Computer & Information Science & Engineering (CISE) at the University of Florida. I am very fortunate to be advised by Prof. Kejun Huang. Before coming to UF, I finished my undergraduate at Nanjing University. I have a broad interest in the general area of Machine Learning (more specified in an unsupervised fashion), Signal Processing, Optimization, and Statistics. See detailed topics include:

Latent variable models’ identifiability guarantees us to discover patterns in an unsupervised fashion, including nonnegative matrix factorization, bounded/independent component analysis, and dictionary learning.

Non-convex optimization algorithms that are computationally efficient and (hopefully) with optimality guarantees.

Applications in various areas, including machine learning, data analytics, natural language processing, and computer vision.

Now I’m shifting to some interesting new topics, stay tuned :D

Research topics Keyword:

Machine Learning, Unsupervised Learning, Optimization, Nonnegative Matrix Factorization, Signal Processing, Tensor Decomposition, Recommendation System, Blind Signal Separation, Bounded/Independent component analysis.

Publications:

See (google scholar page).

News (updated Dec/2023)

One paper accepted: Complex Bounded Component Analysis: Identifiability and Algorithm (ICASSP 2024)

One paper accepted: Global Identifiability of L1-based Dictionary Learning via Matrix Volume Optimization (NeurIPS 2023)

One paper accepted: Identifiable Bounded Component Analysis Via Minimum Volume Enclosing Parallelotope (ICASSP 2023)