Shusen Liu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 13

Top Topics

Visual Perception

Adjustable Autonomy

Multi Agent Decision Making

Top Venues

Comput. Graph. Forum

Publications

Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. Comput. Graph. Forum 43 (3) (2024)
Gabriel Perin, Xuxi Chen, Shusen Liu, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models. ACL (Findings) (2024)
Sangwon Jeong, Jixian Li, Christopher Johnson, Shusen Liu, Matthew Berger
Text-based Transfer Function Design for Semantic Volume Rendering. CoRR (2024)
Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. CoRR (2024)
Zhimin Li, Harshitha Menon, Kathryn M. Mohror, Shusen Liu, Luanzheng Guo, Peer-Timo Bremer, Valerio Pascucci
A Visual Comparison of Silent Error Propagation. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Mingwei Li, Sangwon Jeong, Shusen Liu, Matthew Berger
CAN: Concept-Aligned Neurons for Visual Comparison of Deep Neural Network Models. Comput. Graph. Forum 43 (3) (2024)
Hongjun Choi, Jayaraman J. Thiagarajan, Ruben Glatt, Shusen Liu
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization. CoRR (2024)
Zhimin Li, Haichao Miao, Valerio Pascucci, Shusen Liu
Visualization Literacy of Multimodal Large Language Models: A Comparative Study. CoRR (2024)
Shusen Liu, Haichao Miao, Zhimin Li, Matthew L. Olson, Valerio Pascucci, Peer-Timo Bremer
AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making. CoRR (2023)
Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Weng-Keen Wong
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models. CVPR (2023)
Matthew L. Olson, Shusen Liu, Jayaraman J. Thiagarajan, Bogdan Kustowski, Weng-Keen Wong, Rushil Anirudh
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data. CoRR (2023)
Zhimin Li, Shusen Liu, Bhavya Kailkhura, Timo Bremer, Valerio Pascucci
Instance-wise Linearization of Neural Network for Model Interpretation. CoRR (2023)
Sangwon Jeong, Mingwei Li, Matthew Berger, Shusen Liu
Concept Lens: Visually Analyzing the Consistency of Semantic Manipulation in GANs. IEEE VIS (Short Papers) (2023)