| Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations F Hohman, H Park, C Robinson, DHP Chau IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019 | 132 | 2019 |
| Side: representation learning in signed directed networks J Kim, H Park, JE Lee, U Kang Proceedings of the 2018 World Wide Web Conference, 509-518, 2018 | 103 | 2018 |
| CNN explainer: learning convolutional neural networks with interactive visualization ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ... IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2020 | 71 | 2020 |
| A comparative study of matrix factorization and random walk with restart in recommender systems H Park, J Jung, U Kang 2017 IEEE International Conference on Big Data (Big Data), 756-765, 2017 | 25 | 2017 |
| CNN 101: Interactive Visual Learning for Convolutional Neural Networks ZJ Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, ... ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020 | 11 | 2020 |
| Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, D Horng IEEE Visualization Conference (VIS), 2020, 2020 | 10 | 2020 |
| Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Chau. Cnn explainer: Learning convolutional neural networks with interactive visualization ZJ Wang, R Turko, O Shaikh, H Park arXiv preprint arXiv:2004.15004 158, 2020 | 7 | 2020 |
| Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Polo Chau. 2021. CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization ZJ Wang, R Turko, O Shaikh, H Park IEEE Transactions on Visualization and Computer Graphics 27 (2), 1396-1406, 2021 | 6 | 2021 |
| A comparative analysis of industry human-AI interaction guidelines AP Wright, ZJ Wang, H Park, G Guo, F Sperrle, M El-Assady, A Endert, ... IEEE Visualization Conference, Workshop on Trust and Expertise in Visual …, 2020 | 6 | 2020 |
| Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning N Das, H Park, ZJ Wang, F Hohman, R Firstman, E Rogers, DH Chau ACM CHI Conference on Human Factors in Computing Systems (CHI), Late …, 2020 | 6 | 2020 |
| Neurocartography: Scalable automatic visual summarization of concepts in deep neural networks H Park, N Das, R Duggal, AP Wright, O Shaikh, F Hohman, DHP Chau IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021 | 3 | 2021 |
| Argo lite: Open-source interactive graph exploration and visualization in browsers S Li, Z Zhou, A Upadhayay, O Shaikh, S Freitas, H Park, ZJ Wang, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 3 | 2020 |
| NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions H Park, F Hohman, DH Chau IEEE Pacific Visualization Symposium (PacificVis 2019), 2019 | 3 | 2019 |
| RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, DH Chau, ... Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-26, 2021 | 2 | 2021 |
| SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models H Park, ZJ Wang, N Das, AS Paul, P Perumalla, Z Zhou, DH Chau The Association for the Advancement of Artificial Intelligence (AAAI), 2021 | 2 | 2021 |
| MLsploit: A Framework for Interactive Experimentation with Adversarial Machine Learning Research N Das, S Li, C Jeon, J Jung, ST Chen, C Yagemann, E Downing, H Park, ... Proc. of the 25th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 2019 | 2 | 2019 |
| RECAST: Interactive Auditing of Automatic Toxicity Detection Models AP Wright, O Shaikh, H Park, W Epperson, M Ahmed, S Pinel, D Yang, ... The eighth International Workshop of Chinese CHI, 80-82, 2020 | 1 | 2020 |
| MisVis: Explaining Web Misinformation Connections via Visual Summary S Lee, S Afroz, H Park, ZJ Wang, O Shaikh, V Sehgal, A Peshin, DH Chau CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022 | | 2022 |
| ConceptEvo: Interpreting Concept Evolution in Deep Learning Training H Park, S Lee, B Hoover, A Wright, O Shaikh, R Duggal, N Das, J Hoffman, ... arXiv preprint arXiv:2203.16475, 2022 | | 2022 |
| DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors S Vellaichamy, M Hull, ZJ Wang, N Das, SY Peng, H Park, DHP Chau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | | 2022 |
Polo ChauAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
