Fulton Wang

12 papers A* 2A 2Journal 7
YearRankTypeTitle / Venue / Authors
2024 J jnl
Explainable Interfaces for Rapid Gaze-Based Interactions in Mixed Reality.
CoRR
Mengjie Yu, Dustin Harris, Ian Jones, Ting Zhang, Yue Liu, Naveen Sendhilnathan, Narine Kokhlikyan, Fulton Wang, Co Tran, Jordan L. Livingston, Krista E. Taylor, Zhenhong Hu, Mary A. Hood, Hrvoje Benko, Tanya R. Jonker
2023 A* conf
Error Discovery By Clustering Influence Embeddings.
NeurIPS
Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
2023 J jnl
Error Discovery by Clustering Influence Embeddings.
CoRR
Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan
2023 A* conf
XAIR: A Framework of Explainable AI in Augmented Reality.
CHI
Xuhai Xu, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko
2023 J jnl
XAIR: A Framework of Explainable AI in Augmented Reality.
CoRR
Xuhai Xu, Mengjie Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko
2022 J jnl
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks.
CoRR
Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins
2021 A conf
The Multiple Instance Learning Gaussian Process Probit Model.
AISTATS
Fulton Wang, Ali Pinar
2018 — —
Addressing two issues in machine learning: interpretability and dataset shift.
Fulton Wang
2017 J jnl
Dimension Reduction for Robust Covariate Shift Correction.
CoRR
Fulton Wang, Cynthia Rudin
2015 J jnl
Causal Falling Rule Lists.
CoRR
Fulton Wang, Cynthia Rudin
2015 A conf
Falling Rule Lists.
AISTATS
Fulton Wang, Cynthia Rudin
2014 J jnl
Falling Rule Lists.
CoRR
Fulton Wang, Cynthia Rudin