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Shusen Liu

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AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making

Dec 07, 2023
Shusen Liu, Haichao Miao, Zhimin Li, Matthew Olson, Valerio Pascucci, Peer-Timo Bremer

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Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data

Dec 06, 2023
Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh

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Instance-wise Linearization of Neural Network for Model Interpretation

Oct 25, 2023
Zhimin Li, Shusen Liu, Kailkhura Bhavya, Timo Bremer, Valerio Pascucci

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Topological Data Analysis Guided Segment Anything Model Prompt Optimization for Zero-Shot Segmentation in Biological Imaging

Jun 30, 2023
Ruben Glatt, Shusen Liu

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Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models

Mar 19, 2023
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong

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On-the-fly Object Detection using StyleGAN with CLIP Guidance

Oct 30, 2022
Yuzhe Lu, Shusen Liu, Jayaraman J. Thiagarajan, Wesam Sakla, Rushil Anirudh

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"Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches

Jun 16, 2022
Zhimin Li, Shusen Liu, Xin Yu, Kailkhura Bhavya, Jie Cao, Diffenderfer James Daniel, Peer-Timo Bremer, Valerio Pascucci

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Reliable Graph Neural Network Explanations Through Adversarial Training

Jun 25, 2021
Donald Loveland, Shusen Liu, Bhavya Kailkhura, Anna Hiszpanski, Yong Han

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Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design

Jul 16, 2020
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, T. Yong-Jin Han

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Actionable Attribution Maps for Scientific Machine Learning

Jun 30, 2020
Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, T. Yong-Jin Han

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