Session 01. Inference for Big and Complex Data

Session 02. Transferable and Sparse Representation Learning for Big Data

Session 03. Large Scale Statistical Computing

Session 04. Reinforcement Learning and Decision-making

Session 05. Data Science in Biomedical Research 

Session 06. High Dimensional Inference and Deep Learning

Session 07. Data Mining and Applications

Session 08. Complex Data and Network Data Analysis

Session 09. Advances in Modern Statistical Learning

Session 10. High-Dimensional Applied and Theoretical Statistics

Session 11. Recent Advances in Complex Data Analysis

Session 12. Emerging Methods for Complex Data Analysis

Session 13. Application of Big Data Analysis in Finance and IT Company with Case Studies

Session 14. Mathematics in Data Science

Session 15. Optimization in Machine Learning

Session 16. Recent Advances in High Dimensional Statistics

Session 17. Advances in High-Dimensional Statistics

Session 18. Knowledge Graph Management

Session 19. Data Science for Biomedical and Biopharmaceutical Research

Session 20. Frontiers in Machine Learning