Xuehan Bai

According to our database, Xuehan Bai authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Dynamic Sinter Quality Prediction Based on Time-Shifted State Space Reconstruction.

Wei Liu, Cailian Chen, Yao Li, Xuehan Bai, Baocong Zhang, Xinping Guan

IEEE Trans. Ind. Informatics, March, 2025

Continual Learning-Based Neural Network With Time Embedding for Silicon Content Prediction in Blast Furnace.

Baocong Zhang, Xuehan Bai, Xuda Ding, Wei Liu, Cailian Chen, Xinping Guan

IEEE Trans. Instrum. Meas., 2025

Multisource Ensemble Network-Based Learning for Knowledge-Informed FeO Prediction in Sintering.

Xuehan Bai, Baocong Zhang, Wei Liu, Cailian Chen, Xuda Ding, Yehan Ma, Xinping Guan

IEEE Trans. Instrum. Meas., 2025

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval.

Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li

CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai

CoRR, 2024

2023

Cross-Domain Product Representation Learning for Rich-Content E-Commerce.

Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Strategies for Enhancing Generalization Ability of Communication Event Co-reference Resolution.

Xi Yu, Xuehan Bai, Shukai Liao, Hongyan Cui

Proceedings of the CCKS 2021 - Evaluation Track, 2021

2020

Fusing deep learning and statistical visual features for no-reference image quality assessment.

Yin Zhang, Junhua Yan, Xuan Du, Xuehan Bai, Xiyang Zhi, Ping Hou, Yue Ma

J. Electronic Imaging, 2020

2019

No-reference remote sensing image quality assessment based on gradient-weighted natural scene statistics in spatial domain.

Junhua Yan, Xuehan Bai, Yongqi Xiao, Yin Zhang, Xiangyang Lv

J. Electronic Imaging, 2019