Sichao Li

According to our database, Sichao Li authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EO-Gym: A Multimodal, Interactive Environment for Earth Observation Agents.

Sai Ma, Zhuang Li, Sichao Li, Xinyue Xu, Ruibiao Zhu, Tony Boston, John A. Taylor

CoRR, May, 2026

2025

Evaluating LLM Understanding via Structured Tabular Decision Simulations.

Sichao Li, Xinyue Xu, Xiaomeng Li

CoRR, November, 2025

FaithAct: Faithfulness Planning and Acting in MLLMs.

Junxian Li, Xinyue Xu, Sai Ma, Sichao Li

CoRR, November, 2025

Diverse explanations from data-driven and domain-driven perspectives in the physical sciences.

Sichao Li, Xin Wang, Amanda S. Barnard

Mach. Learn. Sci. Technol., 2025

2024

EXAGREE: Towards Explanation Agreement in Explainable Machine Learning.

Sichao Li, Quanling Deng, Amanda S. Barnard

CoRR, 2024

Practical Attribution Guidance for Rashomon Sets.

Sichao Li, Amanda S. Barnard, Quanling Deng

CoRR, 2024

Automated architectural space layout planning using a physics-inspired generative design framework.

Zhipeng Li, Sichao Li, Geoff Hinchcliffe, Noam Maitless, Nick Birbilis

CoRR, 2024

Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models.

Sichao Li, Amanda S. Barnard

CoRR, 2024

Exploring the cloud of feature interaction scores in a Rashomon set.

Sichao Li, Rong Wang, Quanling Deng, Amanda S. Barnard

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images.

Sichao Li, Sean Banerjee, Natasha Kholgade Banerjee, Soumyabrata Dey

CoRR, 2023

Variance Tolerance Factors For Interpreting All Neural Networks.

Sichao Li, Amanda S. Barnard

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts.

Sichao Li, Jonathan Y. C. Ting, Amanda S. Barnard

J. Comput. Sci., 2022

Variance Tolerance Factors For Interpreting Neural Networks.

Sichao Li, Amanda S. Barnard

CoRR, 2022

Optimization-Free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts Using Multi-target Machine Learning.

Sichao Li, Jonathan Y. C. Ting, Amanda S. Barnard

Proceedings of the Computational Science - ICCS 2022, 2022

2020

Comparing Three Data Representations for Music with a Sequence-to-Sequence Model.

Sichao Li, Charles Patrick Martin

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020