Tzu-Chi Yen

Research talks

  1. Aspiration of prestige in the selection of peer institutions

    International Conference on Computational Social Science, Copenhagen, Denmark, July 2023. Slides
  2. Simpliciality testing and related topics

    project Tyra (online), July 2022. Slides Video (中文)
    Student Symposium in Combinatorics, online, Jun 2022. Slides (pptx)Video
    Aspen Center for Physics, Aspen, CO, March 2022. Slides
  3. Community detection in bipartite networks with stochastic block models

    project Tyra (online), November 2020. Slides Video (中文)
    Clauset-Larremore lab meeting, Boulder, CO, December 2018. Slides
    Statistical Inference on Network Models symposium, Indianapolis, IN, June 2017. Slides
  4. Reasoning Noise Pollution by Mining Multimodal Geo-Social Big Data

    ACM Multimedia Conference, Brisbane, Australia, October 2015. Slides
  5. An Interactive Visualization System to Analyze and Predict Urban Construction Dynamics

    Urban Computing Workshop, Sydney, Australia, August 2015. Slides

Poster presentations

  1. Estimating the Number of Communities in a Bipartite Network

    NetSci Conference, Indianapolis, IN, June 2017. Poster
  2. Understanding Online Survey Data as a Bipartite Network: A Case Study on pol.is

    Sunbelt Conference, Beijing, China, May 2017.
  3. A Social Customer Relationship Management System to Analyze Large On-line Social Networks

    NetSci Conference, Seoul, South Korea, May 2016. Poster Video (network) Video (label)
  4. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data

    ACM Multimedia Conference, Brisbane, Australia, October 2015. Poster

Selected class presentations

  1. Persistent Homology Explained

    In CU's MATH 6220: Introduction to Topology II, April 2020. Slides
  2. Approximately Coloring a 3-colorable Graph Using Semidefinite Programming

    In CU's CSCI 5454: Design and Analysis of Algorithms, April 2019. Slides

Resources

  1. Giving a Talk by Dan Larremore, in a series of workshops.
  2. Upping your Dataviz Game by Claus Wilke.
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