Topology Data Analysis Reading Group

We read and discuss papers in the areas of topology data analysis, machine learning theory and deep learning. If you would like to join this group, please send email to: chao dot chen dot 1 at stonybrook dot edu.

Regular Meeting Time & Place

• The Topology Data Analysis reading group will meet in Old CS 2314 conference room, 12:30pm-3:30pm on every Monday.  

Scheduled Meetings

Date	Agenda

Past Meetings

Date	Agenda
07/29/2019	Qi Zhao: Learning metrics for persistence-based summaries and applications for graph classification Yunxiang Wan: Dimensionality reduction for visualizing single-cell data using UMAP (Part 2)
07/11/2019	Yunxiang Wan: Dimensionality reduction for visualizing single-cell data using UMAP (Part 1)
04/29/2019	Weimin Lyu: DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Fan Wang: A General Neural Network Architecture for Persistence Diagrams and Graph Classification
04/22/2019	Shahira Abousamra: Universal Style Transfer via Feature Transforms Chen Li: Theory and Algorithms for Constructing Discrete Morse Complexes from Grayscale Digital Images
04/01/2019	Xiaoling Hu: Boundary Learning by Optimization with Topological Constraints Songzhu Zheng: Learning with Noisy Labels Ze Ye: PointConv: Deep Convolutional Networks on 3D Point Clouds
03/11/2019	Fan Wang: Sliced Wasserstein Kernel for Persistence Diagrams(part 2) Songzhu Zheng: A survey to robust noisy label
03/04/2019	Ze Ye: Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images Fan Wang: Sliced Wasserstein Kernel for Persistence Diagrams(part 1) Songzhu Zheng: A survey to robust noisy label
02/11/2019	Chen Li: A USER'S GUIDE TO DISCRETE MORSE THEORY Ze Ye: The graph neural network model Songzhu Zheng: A survey to robust noisy label
02/04/2019	Ze Ye: Graph Neural Networks: A Review of Methods and Applications Xiaoling Hu: Persistent Homology Computation with a Twist Songzhu Zheng: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
01/28/2019	Xiaoling Hu: Vines and Vineyards by Updating Persistence in Linear Time(Part 3) Ze Ye: Spectral Networks and Deep Locally Connected Networks on Graphs(Part 2) Songzhu Zheng: Rates of convergence for nearest neighbor classification(Part 2)
01/24/2019	Xiaoling Hu: Vines and Vineyards by Updating Persistence in Linear Time(Part 2) Ze Ye: A Tutorial on Spectral Clustering
01/17/2019	Xiaoling Hu: Vines and Vineyards by Updating Persistence in Linear Time(Part 1) Ze Ye: Spectral Networks and Deep Locally Connected Networks on Graphs(Part 1) Songzhu Zheng: Rates of convergence for nearest neighbor classification(Part 1)
01/10/2019	Ze Ye: Spectral Networks and Deep Locally Connected Networks on Graphs Songzhu Zheng: Generalization bound
01/03/2019	Xiaoling Hu: Topological Persistence and Simplification(Part 2) Songzhu Zheng: How Does Batch Normalization Help Optimization?
12/28/2018	Xiaoling Hu: Topological Persistence and Simplification(Part 1) Ze Ye: The graph neural network model Songzhu Zheng: Kriging method from spatial statistics

Current Participants

Prof. Chao Chen
Xiaoling Hu, PhD Student in CS department
Ze Ye, PhD Student in BMI department
Songzhu Zheng, PhD Student in AMS department
Fan Wang, PhD Student in CS department
Shahira Abousamra, PhD student in CS department
Liu Kin Sum, PhD student in CS department
Huidong Liu, PhD student in CS department
Weimin Lyu, PhD student in CUNY CS department
Yunxiang Wan, PhD student in CS department
Chen Li, MS Student in AMS department

Past Participants