| 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 | 278 | 2020 |
| 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 | 255 | 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 | 160 | 2018 |
| 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 | 45 | 2017 |
| 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 | 41 | 2021 |
| 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 | 30 | 2021 |
| 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 | 25 | 2020 |
| 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 | 24 | 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 | 21 | 2021 |
| Diffusion explainer: Visual explanation for text-to-image stable diffusion S Lee, B Hoover, H Strobelt, ZJ Wang, SY Peng, A Wright, K Li, H Park, ... arXiv preprint arXiv:2305.03509, 2023 | 20 | 2023 |
| 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 | 17 | 2020 |
| Mennatallah El-Assady, Alex Endert, Daniel Keim, and Duen Horng Chau. 2020. A comparative analysis of industry human-AI interaction guidelines AP Wright, ZJ Wang, H Park, G Guo, F Sperrle arXiv preprint arXiv:2010.11761, 2020 | 15 | 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 | 10 | 2020 |
| 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 | 9 | 2020 |
| Nilaksh Das, Rahul Duggal, Austin P Wright, Omar Shaikh, Fred Hohman, and Duen Horng Polo Chau. 2021. NeuroCartography: Scalable Automatic Visual Summarization of Concepts in … H Park IEEE Transactions on Visualization and Computer Graphics 28 (1), 813-823, 2021 | 7 | 2021 |
| 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 | 6 | 2022 |
| 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 | 5 | 2019 |
| Cnn explainer J Wang, R Turko, O Shaikh, H Park, N Das, F Hohman, M Kahng, P Chau Learning convolutional neural networks with interactive visualization. arXiv …, 2004 | 5 | 2004 |
| 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 e-prints, arXiv: 2203.16475, 2022 | 4 | 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 | 4 | 2022 |
Duen Horng ChauProfessor, Georgia Institute of TechnologyVerified email at gatech.edu
