Welcome to Li Lab at UNC Chapel Hill!
Our research interests span across mathematical, statistical, and machine learning theory, methodology, and various real-world applications.
Research Interest
- Dimension reduction
- Gaussian processes
- Geometric data analysis
- Information geometry
- Manifold learning
- Network analysis
- Nonparametric Bayes
- Spatial statistics
Application
- Biological networks
- Brain connectivity
- Electronic Health Record
- Environmental health
- Genetic and genomics
- Images
- Time Series
Email: didongli@unc.edu
News:
Feb 2025: Jiawen presented at Yale Biostatistics Seminar
Feb 2025: Christine's paper on network curvature accepted by TMLR
Feb 2025: Paper on multi-group GP accepted by JMLR
Feb 2025: Jordan presented at Ohio State Statistics Seminar
Jan 2025: Jiawen presented at Purdue Statistics Seminar
Jan 2025: Our STimage-1K4M dataset was downloaded over 100,000 times on Hugging Face!
Jan 2025: Ameer's paper on GP identifiaibility for holomorphic kernels accepted by ICLR 2025
Jan 2025: Jordan presented at U Chicago Biostatistics Seminar
Dec 2024: We are excited to receive an NVIDIA Academic Grant, providing 10K A100 GPU-Hours to support our research on multi-modal AI for spatial transcriptomics.
Dec 2024: Jordan presented at Virginia Tech Statistics Seminar
Dec 2024: Eric's paper on contrastive functional dimensional rduction accepted by AAAI
Nov 2024: Sam and Jiawen passed the prelim!
Nov 2024: Wancen and Jiawen's paper on GP-based lead-lag effect detection accepted by Biometrics
Oct 2024: Paper on inverse reinforcement learning accepted by Transaction of Machine Learning Research
Oct 2024: Paper on contrastive regression accepted by Annals of Applied Statistics
Sept 2024: Sam and Yueen's paper on contrastive inverse regression accepted by New England Journal of Statistics in Data Science
Sept 2024: Jiawen and Jinwei's paper on Spatial Transcriptomics dataset accepted by NeurIPS (DB) 2024
Sept 2024: Sam and Yueen's paper on contrastive dimension estimation accepted by NeurIPS 2024
Sept 2024: Hong's paper on Spatial clustering for Carolina Breast Cancer Study accepted by PSB 2024
Aug 2024: Jordan, Hong, Jiawen and Sam presented at JSM 2024
Jul 2024: Jordan's paper Comments on Contemporary Uses of Machine Learning for Electronic Health Records by was published on NC Medical Journal
Jun 2024: Talk at ICSA Applied Symposium
May 2024: Paper on design of spatial omics studies accepted by Nature Communication
May 2024: Talk at New England Statistics Symposium
May 2024: Talk at StatGen
May 2024: Talk at U Maryland Math
Mar 2024: Talk at Clemson Statistics
Mar 2024: Jiawen won the MCBIOS Young Scientist Excellence Award
Mar 2024: Christine, Jiawen, Michael and Sam present at ENAR 2024
Feb 2024: Talk at Texas A&M Statistics
Jan 2024: Wancen defended her dissertation, congrats Dr. Mu!
Jan 2024: Paper on probablistic contrastive dimension reduction accepted by Annals of Applied Statistics
Dec 2023: Christine, Jiawen and Wancen present at NeurIPS 2023
Nov 2023: Talk at Rice Statistics
Nov 2023: Talk at U Delaware Statistics
Sep 2023: Talk at Emory Biostatistics
Sep 2023: Jiawen and Wancen's Paper by on identifiability and interpretability of Gaussian processes accepted by NeurIPS2023
Jun 2023: Talk at ICSA Applied Symposium
May 2023: Christine, Hong and Sam won the student travel award at the 2023 Symposium of Data Science and Statistics
Apr 2023: Talk at Broad Institute of MIT and Harvard MIA seminar
Apr 2023: Talk at UNC STOR
Mar 2023: Sam won the best poster award and the student travel award at the Third Annual Workshop on Emerging Data Science Methods for Complex Biomedical and Cyber Data
Mar 2023: Talk at ENAR
Mar 2023: Talk at NCSU Biomath
Mar 2023: Paper on Gaussian process parameter inference on compact Riemannian manifold accepted by Journal of Machine Learning Research
Feb 2023: Talk at Brown Applied Math
Feb 2023: Talk at UNC Greensboro Mathematics and Statistics