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Computer Science

D-Index
46
Citations
9161
World Ranking
6825
National Ranking
3001

Overview

Duen Horng Chau is affiliated with the Georgia Institute of Technology in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and Statistical and Nonlinear Physics.

The scientist's research spans multiple main topics such as Adversarial Robustness in Machine Learning, Data Visualization and Analytics, Explainable Artificial Intelligence (XAI), Anomaly Detection Techniques and Applications, Topic Modeling, Advanced Neural Network Applications, and Natural Language Processing Techniques.

Recent papers authored by Duen Horng Chau include:

  • CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Graph Vulnerability and Robustness: A Survey, 2022, IEEE Transactions on Knowledge and Data Engineering
  • A Survey of Human-Centered Evaluations in Human-Centered Machine Learning, 2021, Computer Graphics Forum
  • Communicating with Interactive Articles, 2020, Distill
  • The Role of Interactive Visualization in Fostering Trust in AI, 2021, IEEE Computer Graphics and Applications

Their frequent coauthors include Zijie J. Wang, Nilaksh Das, Haekyu Park, Seongmin Lee, and Shengyun Peng. These collaborations highlight a sustained research partnership across various projects.

Duen Horng Chau's work has been published in diverse venues, with the highest number of publications appearing in arXiv (Cornell University). Other significant venues include Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, and IEEE Transactions on Knowledge and Data Engineering.

Best Publications

  • Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers

    Fred Hohman;Minsuk Kahng;Robert Pienta;Duen Horng Chau

  • Netprobe: a fast and scalable system for fraud detection in online auction networks

    Shashank Pandit;Duen Horng Chau;Samuel Wang;Christos Faloutsos

  • ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

    Shang-Tse Chen;Cory Cornelius;Jason Martin;Duen Horng (Polo) Chau

  • Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

    Nilaksh Das;Madhuri Shanbhogue;Shang-Tse Chen;Fred Hohman

  • Apolo: making sense of large network data by combining rich user interaction and machine learning

    Duen Horng Chau;Aniket Kittur;Jason I. Hong;Christos Faloutsos

  • A Linguistic Analysis of How People Describe Software Problems

    A.J. Ko;B.A. Myers;Duen Horng Chau

  • Detecting fraudulent personalities in networks of online auctioneers

    Duen Horng Chau;Shashank Pandit;Christos Faloutsos

  • Parallel crawling for online social networks

    Duen Horng Chau;Shashank Pandit;Samuel Wang;Christos Faloutsos

  • SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

    Nilaksh Das;Madhuri Shanbhogue;Shang-Tse Chen;Fred Hohman

  • GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation

    Minsuk Kahng;Nikhil Thorat;Duen Horng Polo Chau;Fernanda B. Viegas

  • FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning

    Angel Alexander Cabrera;Will Epperson;Fred Hohman;Minsuk Kahng

  • Guilt by association: large scale malware detection by mining file-relation graphs

    Acar Tamersoy;Kevin Roundy;Duen Horng Chau

  • Detecting insider threats in a real corporate database of computer usage activity

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • On the Vulnerability of Large Graphs

    Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad

  • Answering why and why not questions in user interfaces

    Brad A. Myers;David A. Weitzman;Amy J. Ko;Duen H. Chau

  • What to do when search fails: finding information by association

    Duen Horng Chau;Brad Myers;Andrew Faulring

  • Unifying guilt-by-association approaches: theorems and fast algorithms

    Danai Koutra;Tai-You Ke;U. Kang;Duen Horng Polo Chau

  • Huddle: automatically generating interfaces for systems of multiple connected appliances

    Jeffrey Nichols;Brandon Rothrock;Duen Horng Chau;Brad A. Myers

  • Eyes on the road, hands on the wheel: thumb-based interaction techniques for input on steering wheels

    Iván E. González;Jacob O. Wobbrock;Duen Horng Chau;Andrew Faulring

  • Node Immunization on Large Graphs: Theory and Algorithms

    Chen Chen;Hanghang Tong;B. Aditya Prakash;Charalampos E. Tsourakakis

  • ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

    Minsuk Kahng;Pierre Y. Andrews;Aditya Kalro;Duen Horng Chau

Frequent Co-Authors

Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Jilles Vreeken
Jilles Vreeken Max Planck Society
U Kang
U Kang Seoul National University
Shamkant B. Navathe
Shamkant B. Navathe Georgia Institute of Technology
Leman Akoglu
Leman Akoglu Carnegie Mellon University
Diyi Yang
Diyi Yang Stanford University
John Stasko
John Stasko Georgia Institute of Technology
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington

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