Jiaxing Yan

According to our database, Jiaxing Yan authored at least 15 papers between 2017 and 2026.

Collaborative distances:

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

2026

In-Process Tool Wear Prediction Enabled by Physics-Informed Liquid Neural Networks Under Varying Cutting Conditions.

Jiaxing Yan, Lele Bai, Hongguang Liu, Zhenyang Zhang, Yuyang Tang, Jun Zhang

IEEE Trans. Ind. Informatics, May, 2026

Zero-Shot ECG Arrhythmia Classification from Waveform Images: An Experimental Study with Vision-Language Models.

Joseph Azar, Raphaël Couturier, Ke Du, Jiaxing Yan

Proceedings of the 6th Middle East and North Africa Communications Conference, 2026

2025

Explainable machine learning-based land subsidence susceptibility mapping: from feature importance to individual model contributions in ensembled system.

Bofan Yu, Huaixue Xing, Weiya Ge, Jiaxing Yan, Yun-an Li

Earth Sci. Informatics, April, 2025

Enabling Versatile Controls for Video Diffusion Models.

Xu Zhang, Hao Zhou, Haoming Qin, Xiaobin Lu, Jiaxing Yan, Guanzhong Wang, Zeyu Chen, Yi Liu

CoRR, March, 2025

Forecasting when to forecast: Accelerating diffusion models with confidence-gated taylor.

Xiaoliu Guan, Lielin Jiang, Hanqi Chen, Xu Zhang, Jiaxing Yan, Guanzhong Wang, Yi Liu, Zetao Zhang, Yu Wu

Knowl. Based Syst., 2025

Neural Topic Modeling via Contextual and Graph Information Fusion.

Jiyuan Liu, Jiaxing Yan, Chunjiang Zhu, Xingyu Liu, Li Qing, Yanghui Rao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Two-dimensional data partitioning for non-negative matrix tri-factorization.

Jiaxing Yan, Hai Liu, Zhiqi Lei, Yanghui Rao, Guan Liu, Haoran Xie, Xiaohui Tao, Fu Lee Wang

Big Data Res., 2024

Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering.

Jiaxing Yan, Yuyin Lu, Hegang Chen, Jianxing Yu, Yanghui Rao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

2023

NMTF-LTM: Towards an Alignment of Semantics for Lifelong Topic Modeling.

Zhiqi Lei, Hai Liu, Jiaxing Yan, Yanghui Rao, Qing Li

IEEE Trans. Knowl. Data Eng., October, 2023

A TransSE-ResNet Deep Learning Model with Multi-Head Attention Mechanism for Covid-19 Chest CT Image Classification.

Ke Du, Jiaxing Yan, Li Tang, Hongping Zhao

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Lifelong Hierarchical Topic Modeling via Non-negative Matrix Factorization.

Zhicheng Lin, Jiaxing Yan, Zhiqi Lei, Yanghui Rao

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2021

Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks.

Cai Luo, Leijian Yu, Jiaxing Yan, Zhongwei Li, Peng Ren, Xiao Bai, Erfu Yang, Yonghong Liu

Comput. Aided Civ. Infrastructure Eng., 2021

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation.

Jiaxing Yan, Hong Zhao, Penghui Bu, Yusheng Jin

Proceedings of the International Conference on 3D Vision, 2021

2020

An LSTM Based Deep Learning Method for Airline Ticket Price Prediction.

Ke Du, Jiaxing Yan, Zhou Hang, Zhihao Chen, Lulu Wu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2017

Single-Image Shadow Removal Using 3D Intensity Surface Modeling.

Kai He, Rui Zhen, Jiaxing Yan, Yunfeng Ge

IEEE Trans. Image Process., 2017