Austin P. Wright

			@inproceedings{10.1145/3637528.3671596,
  author = {Wright, Austin P. and Davidoff, Scott and Chau, Duen Horng},
  title = {Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars},
  year = {2024},
  isbn = {9798400704901},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3637528.3671596},
  doi = {10.1145/3637528.3671596},
  booktitle = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages = {5969–5978},
  numpages = {10},
  keywords = {data visualization, dimensionality reduction, latent representation learning, planetary science},
  location = {Barcelona, Spain},
  series = {KDD '24}
}
		

			@article{ORENSTEIN2024116202,
  title = {In-situ mapping of monocrystalline regions on Mars},
  journal = {Icarus},
  volume = {420},
  pages = {116202},
  year = {2024},
  issn = {0019-1035},
  doi = {https://doi.org/10.1016/j.icarus.2024.116202},
  url = {https://www.sciencedirect.com/science/article/pii/S0019103524002628},
  author = {Brendan J. Orenstein and Michael W.M. Jones and David T. Flannery and Austin P. Wright and Scott Davidoff and Michael M. Tice and Luke Nothdurft and Abigail C. Allwood},
  keywords = {Mars, Surface, Mineralogy, Spectroscopy},
}
		

			@misc{lee2024interactivevisuallearningstable,
  title={Interactive Visual Learning for Stable Diffusion}, 
  author={Seongmin Lee and Benjamin Hoover and Hendrik Strobelt and Zijie J. Wang and ShengYun Peng and Austin Wright and Kevin Li and Haekyu Park and Haoyang Yang and Polo Chau},
  year={2024},
  eprint={2404.16069},
  archivePrefix={arXiv},
  primaryClass={cs.HC},
  url={https://arxiv.org/abs/2404.16069}, 
}
		

			@misc{park2023conceptevolutiondeeplearning,
  title={Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries}, 
  author={Haekyu Park and Seongmin Lee and Benjamin Hoover and Austin P. Wright and Omar Shaikh and Rahul Duggal and Nilaksh Das and Kevin Li and Judy Hoffman and Duen Horng Chau},
  year={2023},
  eprint={2203.16475},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2203.16475}, 
}
		

			@misc{lee2023diffusionexplainervisualexplanation,
  title={Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion}, 
  author={Seongmin Lee and Benjamin Hoover and Hendrik Strobelt and Zijie J. Wang and ShengYun Peng and Austin Wright and Kevin Li and Haekyu Park and Haoyang Yang and Duen Horng Chau},
  year={2023},
  eprint={2305.03509},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2305.03509}, 
}
		

			@inproceedings{wright2023lessons,
  title={Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework},
  author={Wright, Austin P and Nemere, Peter and Galvin, Adrian and Chau, Duen Horng and Davidoff, Scott},
  booktitle={Proceedings of the 28th International Conference on Intelligent User Interfaces},
  pages={91--105},
  year={2023}
}
		

			@article{tice2022alteration,
  title={Alteration history of S{\'e}{\'\i}tah formation rocks inferred by PIXL x-ray fluorescence, x-ray diffraction, and multispectral imaging on Mars},
  author={Tice, Michael M and Hurowitz, Joel A and Allwood, Abigail C and Jones, Michael WM and Orenstein, Brendan J and Davidoff, Scott and Wright, Austin P and Pedersen, David AK and Henneke, Jesper and Tosca, Nicholas J and others},
  journal={Science Advances},
  volume={8},
  number={47},
  pages={eabp9084},
  year={2022},
  publisher={American Association for the Advancement of Science}
}
		

			@article{wright2021detection,
  title={Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media},
  author={Wright, Austin P and Jones, Christopher M and Chau, Duen Horng and Gladden, R Matthew and Sumner, Steven A},
  journal={Journal of Biomedical Informatics},
  volume={119},
  pages={103824},
  year={2021},
  publisher={Academic Press}
}
		

			@article{wright2021detection,
  title={Detection of emerging drugs involved in overdose via diachronic word embeddings of substances discussed on social media},
  author={Wright, Austin P and Jones, Christopher M and Chau, Duen Horng and Gladden, R Matthew and Sumner, Steven A},
  journal={Journal of Biomedical Informatics},
  volume={119},
  pages={103824},
  year={2021},
  publisher={Academic Press}
}
		

			@article{10.1145/3449280,
  author = {Wright, Austin P. and Shaikh, Omar and Park, Haekyu and Epperson, Will and Ahmed, Muhammed and Pinel, Stephane and Chau, Duen Horng (Polo) and Yang, Diyi},
  title = {RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization},
  year = {2021},
  issue_date = {April 2021},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {5},
  number = {CSCW1},
  url = {https://doi.org/10.1145/3449280},
  doi = {10.1145/3449280},
  abstract = {With the widespread use of toxic language online, platforms are increasingly using automated systems that leverage advances in natural language processing to automatically flag and remove toxic comments. However, most automated systems, when detecting and moderating toxic language, do not provide feedback to their users, let alone provide an avenue of recourse for these users to make actionable changes. We present our work, RECAST, an interactive, open-sourced web tool for visualizing these models' toxic predictions, while providing alternative suggestions for flagged toxic language. Our work also provides users with a new path of recourse when using these automated moderation tools. RECAST highlights text responsible for classifying toxicity, and allows users to interactively substitute potentially toxic phrases with neutral alternatives. We examined the effect of RECAST via two large-scale user evaluations, and found that RECAST was highly effective at helping users reduce toxicity as detected through the model. Users also gained a stronger understanding of the underlying toxicity criterion used by black-box models, enabling transparency and recourse. In addition, we found that when users focus on optimizing language for these models instead of their own judgement (which is the implied incentive and goal of deploying automated models), these models cease to be effective classifiers of toxicity compared to human annotations. This opens a discussion for how toxicity detection models work and should work, and their effect on the future of online discourse.},
  journal = {Proc. ACM Hum.-Comput. Interact.},
  month = {apr},
  articleno = {181},
  numpages = {26},
  keywords = {toxicity detection, intervention, natural language processing, content moderation, interactive visualization}
}
		

			
@misc{wright2020comparative,
  title={A Comparative Analysis of Industry Human-AI Interaction Guidelines}, 
  author={Austin P. Wright and Zijie J. Wang and Haekyu Park and Grace Guo and Fabian Sperrle and Mennatallah El-Assady and Alex Endert and Daniel Keim and Duen Horng Chau},
  year={2020},
  eprint={2010.11761},
  archivePrefix={arXiv},
  primaryClass={cs.HC}
}
		

			
@misc{saadfalcon2020mapping,
title={Mapping Researchers with PeopleMap}, 
author={Jon Saad-Falcon and Omar Shaikh and Zijie J. Wang and Austin P. Wright and Sasha Richardson and Duen Horng Chau},
year={2020},
eprint={2009.00091},
archivePrefix={arXiv},
primaryClass={cs.DL}
}
		

			
@article{wright2020recast,
title={RECAST: Interactive Auditing of Automatic Toxicity Detection Models},
author={Austin P. Wright and Omar Shaikh and Haekyu Park and Will Epperson and Muhammed Ahmed and Stephane Pinel and Diyi Yang and Duen Horng (Polo) Chau},
year={2020},
eprint={2001.01819},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
		

			
@article{goldblum2019nuclear,
title={The nuclear network: multiplex network analysis for interconnected systems},
author={Goldblum, Bethany L and Reddie, Andrew W and Hickey, Thomas C and Bevins, James E and Laderman, Sarah and Mahowald, Nathaniel and Wright, Austin P and Katzenson, Elie and Mubarak, Yara},
journal={Applied Network Science},
volume={4},
number={1},
pages={36},
year={2019},
publisher={Springer}
}
		

			
@misc{mendoza2019monitoring,
title={Smart Monitoring of Nuclear Facilities: Implementation Concepts and Development Status},
author={Paul Michael Mendoza, Karen Ann Miller, Emily Michele Casleton, Janette Rose Frigo, Rosalyn Cherie Rael, Kendra Lu Van Buren, Jonathan Lee Woodring, Vlad Henzl, Austin Peter Wright},
year={2019},
publisher={Los Alamos National Lab.}
}
		

			
@article{millerdisparate,
title={DISPARATE DATA INTEGRATION FOR ADVANCED FACILITY MONITORING},
author={MILLER, KAREN A and VAN BUREN, KENDRA L and FRIGO, JANETTE R and ZEYEN, MAX and SACKOS, JOSHUA P and MENDOZA, PAUL M and WRIGHT, AUSTIN P}
author={Goldblum, Bethany L and Reddie, Andrew W and Hickey, Thomas C and Bevins, James E and Laderman, Sarah and Mahowald, Nathaniel and Wright, Austin P and Katzenson, Elie and Mubarak, Yara},
journal={IAEA Symposium on International Safeguards},
year={2018},
}