Xiaofan Gui

According to our database, Xiaofan Gui authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter Estimation.

Jiawei Chen, Xiaofan Gui, Shikai Fang, Shengyu Tao, Shun Zheng, Weiqing Liu, Jiang Bian

CoRR, May, 2026

From Risk Perception to Behavior Large Language Models-Based Simulation of Pandemic Prevention Behaviors.

Lujia Bo, Mingxuan Chen, Youduo Chen, Xiaofan Gui, Jiang Bian, Chunyan Wang, Yi Liu

CoRR, January, 2026

2025

AutoMaAS: Self-Evolving Multi-Agent Architecture Search for Large Language Models.

Bo Ma, Hang Li, Zehua Hu, Xiaofan Gui, Luyao Liu, Simon Liu

CoRR, October, 2025

AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems.

Bo Ma, Hang Li, Zehua Hu, Xiaofan Gui, Luyao Liu, Simon Liu

CoRR, October, 2025

AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence.

Bo Ma, Hang Li, Zehua Hu, Xiaofan Gui, Luyao Liu, Simon Lau

CoRR, October, 2025

Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols.

Yuqi Li, Han Zhang, Xiaofan Gui, Zhao Chen, Yu Li, Xiwen Chi, Quan Zhou, Shun Zheng, Ziheng Lu, Wei Xu, Jiang Bian, Liquan Chen, Hong Li

CoRR, April, 2025

Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning.

Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

Nat. Mac. Intell., 2025

2024

BatteryML: An Open-source Platform for Machine Learning on Battery Degradation.

Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.

Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

CoRR, 2023

UADB: Unsupervised Anomaly Detection Booster.

Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2020

Application of AutoML in the Automated Coding of Educational Discourse Data.

Seung B. Lee, Xiaofan Gui, Eric Hamilton

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

2019

Use of Training, Validation, and Test Sets for Developing Automated Classifiers in Quantitative Ethnography.

Seung B. Lee, Xiaofan Gui, Megan Manquen, Eric R. Hamilton

Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019