王鼎湘｜长沙理工大学｜学者主页

2026

A Semi-Supervised Learning Method for Sintering Conditions Recognition Under Sparse Annotations and Imbalanced Categories

Hanyu Zhang, Leyuan Wu, Junlin Wu, Dingxiang Wang, Chao Zhou, Guangzhen Tu

Youth Academic Annual Conference of Chinese Association of Automation (YAC)

DOI

2025

A global linear attention incorporated video transformer for robust sintering condition recognition

Leyuan Wu, Junlin Wu, Dingxiang Wang, Qiang Fu

Engineering Applications of Artificial Intelligence

DOI

2024

基于时空图注意力的短期电力负荷预测方法

李文英，杨高才，文明，罗姝晨，于宗超，姜羽，王鼎湘

《湖南大学学报(自然科学版)》

2024

A Physical Information Neural Network (PINN)-Based Model for Soft Measurement of 3D Temperature Field in Aluminium Electrolysers

Tianqi Song, Xiaogang Zhang, Hua Chen, Lei Zhang, Dingxiang Wang

China Automation Congress (CAC)

DOI

2022

Multimodal Data-driven Dynamic Modeling and Working Condition Detection of Coal-fired Industrial Systems

Yu Jiang, Xiao-Gang Zhang, Hua Chen, Dingxiang Wang, Peng Jiang, Qi-Han Ma

ACM Cloud and Autonomic Computing Conference

DOI

2022

An efficient unsupervised image quality metric with application for condition recognition in kiln

Leyuan Wu, Xiao-Gang Zhang, Hua Chen, Yicong Zhou, Lianhong Wang, Dingxiang Wang

Engineering applications of artificial intelligence

DOI

2021

Sintering Condition Recognition of Rotary Kiln Based on Multivariable Time Series Data with Long-tail Distribution

Dingxiang Wang, Xiao-Gang Zhang, Hua Chen, Leyuan Wu, Yu Jiang, Mingyang Lv

ACM Cloud and Autonomic Computing Conference

DOI

2021

Robust Flame Video-based Sintering Condition Recognition Method Based on Fractal Theory

Yu Jiang, Xiao-Gang Zhang, Hua Chen, Dingxiang Wang, Leyuan Wu, Zhanyu Bu

ACM Cloud and Autonomic Computing Conference

DOI

2020

A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance

Dingxiang Wang, Xiao-Gang Zhang, Hua Chen, Yicong Zhou, Fanyong Cheng

IEEE transactions on industrial electronics (1982. Print)

DOI

2020

Sintering conditions recognition of rotary kiln based on kernel modification considering class imbalance.

Dingxiang Wang, Xiao-Gang Zhang, Hua Chen, Yicong Zhou, Fanyong Cheng

ISA transactions

DOI

王鼎湘

精选作品

期刊论文

A Semi-Supervised Learning Method for Sintering Conditions Recognition Under Sparse Annotations and Imbalanced Categories

A global linear attention incorporated video transformer for robust sintering condition recognition

基于时空图注意力的短期电力负荷预测方法

A Physical Information Neural Network (PINN)-Based Model for Soft Measurement of 3D Temperature Field in Aluminium Electrolysers

Multimodal Data-driven Dynamic Modeling and Working Condition Detection of Coal-fired Industrial Systems

An efficient unsupervised image quality metric with application for condition recognition in kiln

Sintering Condition Recognition of Rotary Kiln Based on Multivariable Time Series Data with Long-tail Distribution

Robust Flame Video-based Sintering Condition Recognition Method Based on Fractal Theory

A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance

Sintering conditions recognition of rotary kiln based on kernel modification considering class imbalance.

研究方向