| Promptaid: Prompt exploration, perturbation, testing and iteration using visual analytics for large language models A Mishra, U Soni, A Arunkumar, J Huang, BC Kwon, C Bryan arXiv preprint arXiv:2304.01964, 2023 | 225 | 2023 |
| Conceptexplainer: Interactive explanation for deep neural networks from a concept perspective J Huang, A Mishra, BC Kwon, C Bryan IEEE Transactions on Visualization and Computer Graphics 29 (1), 831-841, 2022 | 44 | 2022 |
| Why? why not? when? visual explanations of agent behaviour in reinforcement learning A Mishra, U Soni, J Huang, C Bryan 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), 111-120, 2022 | 31 | 2022 |
| Sparvis: Combining smartphone and augmented reality for visual data analytics J Huang, S Liang, Q Xiong, Y Gao, C Mei, Y Xu, C Bryan 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2022 | 6 | 2022 |
| Phoenix Virtual Heart: A Hybrid VR-Desktop Visualization System for Cardiac Surgery Planning and Education J Huang, JD Plasencia, DME Bardo, NC Huber, EG Ellsworth, ... 2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC), 36-40, 2021 | 6 | 2021 |
| InterVLS: Interactive Model Understanding and Improvement with Vision-Language Surrogates J Huang, W He, L Gou, L Ren, C Bryan arXiv preprint arXiv:2311.03547, 2023 | 2 | 2023 |
| ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale J Huang, C Chen, A Mishra, BC Kwon, Z Liu, C Bryan arXiv preprint arXiv:2404.02990, 2024 | 1 | 2024 |
| Measuring and Comparing Collaborative Visualization Behaviors in Desktop and Augmented Reality Environments M Kintscher, J Huang, A Arunkumar, A Amresh, C Bryan Proceedings of the 29th ACM Symposium on Virtual Reality Software and …, 2023 | 1 | 2023 |
| PromptAid: Visual Prompt Exploration, Perturbation, Testing and Iteration for Large Language Models A Mishra, B Danzy, U Soni, A Arunkumar, J Huang, BC Kwon, C Bryan IEEE Transactions on Visualization and Computer Graphics, 2025 | | 2025 |
| InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation J Huang, W He, L Gou, L Ren, C Bryan arXiv preprint arXiv:2406.17838, 2024 | | 2024 |
| On CLIP’s Ability of Analyzing Fake Images at a Large Scale: Why are they fake? J HUANG, C CHEN, A MISHRA, BUMC KWON, Z LIU, C BRYAN | | 2018 |
| Zangwill, Steven 36 T Zhang, G Appleby, D Bardo, C Bizon, D Borland, I Brain, C Bryan, ... | | |
Chris BryanArizona State UniversityVerified email at asu.edu