Chun Hei Michael Chan

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

In the past years, many signal processing operations have been successfully adapted to the graph setting. One elegant and effective approach is to exploit the eigendecomposition of a graph shift operator (GSO), such as the adjacency or Laplacian operator, ...

The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exhibit i ...

Community structure is a key feature omnipresent in real-world network data. Plethora of methods have been proposed to reveal subsets of densely interconnected nodes using criteria such as the modularity index. These approaches have been successful for und ...

Recently, various digital solutions have emerged to enhance the process of self-refection, which can be crucial for personal growth and resilience. However, whether technology can meaningfully match or augment a traditional approach like pen or paper remai ...

Chun Hei Michael Chan

Chat with Graph Search

Hilbert Transform on Graphs: Let There Be Phase

A convolutional neural network segments yeast microscopy images with high accuracy

Community detection for directed networks revisited using bimodularity

Digital, Analog, or Hybrid: Comparing Strategies to Support Self-Reflection