His main research concerns Artificial intelligence, Theoretical computer science, Belief propagation, Machine learning and Human–computer interaction. His work on Deep learning, Pixel and Artificial neural network as part of his general Artificial intelligence study is frequently connected to Detector, thereby bridging the divide between different branches of science. His Artificial neural network research includes themes of Debugging, Data visualization and Data science.
His Theoretical computer science study combines topics in areas such as Computer file, Domain knowledge and Graph. His studies link Data mining with Machine learning. His study in Human–computer interaction is interdisciplinary in nature, drawing from both User interface design, Natural user interface, Natural language and User story.
Duen Horng Chau mostly deals with Artificial intelligence, World Wide Web, Visualization, Human–computer interaction and Graph. His Artificial intelligence research focuses on Machine learning and how it relates to Graph. His research integrates issues of Event, User interface, Information retrieval and Malware in his study of World Wide Web.
The concepts of his Visualization study are interwoven with issues in Sensemaking and Interaction design. He has researched Human–computer interaction in several fields, including Interactive visualization, Gesture and Mobile phone. His study in Graph is interdisciplinary in nature, drawing from both Scalability and Theoretical computer science.
Duen Horng Chau mainly investigates Artificial intelligence, Deep learning, Human–computer interaction, Interactive visualization and Adversarial system. His Artificial intelligence research incorporates themes from Machine learning, Documentation and Pattern recognition. His studies in Deep learning integrate themes in fields like Regularization, Reduction and Data science.
Duen Horng Chau combines subjects such as Intelligent user interface, Interpretability, Visual learning and Convolutional neural network with his study of Human–computer interaction. His work is dedicated to discovering how Adversarial system, Data modeling are connected with Feature extraction and other disciplines. His work in Network attack tackles topics such as Graph which are related to areas like Graph.
Duen Horng Chau mainly focuses on Artificial intelligence, Deep learning, Data science, Adversarial system and Visual analytics. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. The Machine learning study combines topics in areas such as Image and DUAL.
His biological study spans a wide range of topics, including Interactive visualization, Visual learning, Convolutional neural network and Human–computer interaction. His Data science research includes elements of Robustness and Tiger. His Adversarial system study combines topics in areas such as Gradient descent, Frame and Feature.
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Netprobe: a fast and scalable system for fraud detection in online auction networks
Shashank Pandit;Duen Horng Chau;Samuel Wang;Christos Faloutsos.
the web conference (2007)
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman;Minsuk Kahng;Robert Pienta;Duen Horng Chau.
IEEE Transactions on Visualization and Computer Graphics (2019)
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das;Madhuri Shanbhogue;Shang-Tse Chen;Fred Hohman.
arXiv: Computer Vision and Pattern Recognition (2017)
A Linguistic Analysis of How People Describe Software Problems
A.J. Ko;B.A. Myers;Duen Horng Chau.
symposium on visual languages and human-centric computing (2006)
Detecting fraudulent personalities in networks of online auctioneers
Duen Horng Chau;Shashank Pandit;Christos Faloutsos.
european conference on principles of data mining and knowledge discovery (2006)
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.
human factors in computing systems (2011)
Parallel crawling for online social networks
Duen Horng Chau;Shashank Pandit;Samuel Wang;Christos Faloutsos.
the web conference (2007)
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen;Cory Cornelius;Jason Martin;Duen Horng (Polo) Chau.
european conference on machine learning (2018)
Guilt by association: large scale malware detection by mining file-relation graphs
Acar Tamersoy;Kevin Roundy;Duen Horng Chau.
knowledge discovery and data mining (2014)
On the Vulnerability of Large Graphs
Hanghang Tong;B. Aditya Prakash;Charalampos Tsourakakis;Tina Eliassi-Rad.
international conference on data mining (2010)
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