CV

Download CV here

Education

• Ph.D. in Computer Science, University of Utah, 2024
• M.S. in Computer Science, Temple University, 2019
• B.S. in Statistics and Computer Science (double degree), University of Science and Technology of China (USTC), 2018

Work experience

• Summer 2024 - Present: Senior Researcher
  • Microsoft Research Asia
  • Research focus: Bayesian machine learning, tensor learning, physics-informed machine learning
• 2019 - 2024: Ph.D. Student
  • University of Utah, School of Computing
  • Scientific Computing and Imaging Institute
  • Advisors: Prof. Shandian Zhe and Prof. Mike Kirby
  • Research focus: Bayesian machine learning, tensor decomposition, streaming inference
• 2018 - 2019: M.S. Student
  • Temple University
  • Research focus: Machine learning and data mining
• 2014 - 2018: B.S. Student
  • University of Science and Technology of China (USTC)
  • School of the Gifted Young (少年班学院)
  • Double degree in Statistics and Computer Science

Skills

• Machine Learning: Bayesian methods, deep learning, tensor decomposition, sparse learning
• Programming: Python, C++, MATLAB, R
• Frameworks: PyTorch, TensorFlow, JAX, NumPy, SciPy
• Applications: Time series analysis, computer vision, natural language processing
• Domains: Physics-informed ML, medical AI, quantitative finance

Publications

Rdagent

Phy Guidied Weather Downscaling

Sound Speed Sr Diffusion

Mars

Sdift Diffusion

Catte Tensor

Bayotide

Gaussian Process Pde

Functional Bayesian Tucker

Streaming Factor Trajectory

Dynamic Tensor Decomposition

Multi Omic Integration

Schrodinger Bridge

Bayesian Continuous Time Tucker

Streaming Bayesian Deep Tensor

Bayesian Streaming Sparse Tucker

Probabilistic Neural Kernel Tensor

Online Bayesian Sparse Learning

Multivariate Scoring Functions

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Reviewer: ICML, NeurIPS, ICLR, UAI, AAAI, IJCAI, KDD, ICDM
• Teaching Assistant: Multiple courses in machine learning and data mining at University of Utah
• Mentor: Undergraduate and graduate students in research projects
• Community: Active contributor to open-source machine learning projects