Hongxin Yu

According to our database, Hongxin Yu authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Physics-Informed Deep Learning for Traffic State Estimation on Freeways: A Comprehensive Comparative Study.

Hongxin Yu, Yibing Wang, Fengyue Jin, Claudio Roncoli, Mingming Zhao, Pengjun Zheng, Jingqiu Guo, Lihui Zhang

IEEE Trans. Intell. Transp. Syst., April, 2026

2025

A Physics-informed Deep Operator for Real-Time Freeway Traffic State Estimation.

Hongxin Yu, Yibing Wang, Fengyue Jin, Meng Zhang, Anni Chen

CoRR, August, 2025

Analysis of the impact of social network financing based on deep learning and long short-term memory.

Yuanjun Zhao, Hongxin Yu, Chunjia Han, Brij B. Gupta

Inf. Syst. E Bus. Manag., June, 2025

A Subarea-Based Multi Agent Reinforcement Learning Approach for Traffic Signal Control.

Meng Zhang, Dianhai Wang, Hongxin Yu, Xu Wang, Jiahao Zhang, Zhengyi Cai

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

A UCA-Based Multimodal OAM Wireless Backhaul Model.

Wei Du, Ju Feng, Cheng Liao, Hongxin Yu, Xuanming Zhong

IEEE Commun. Lett., January, 2024

2023

Edge intelligence-enabled supply chain financial model based on Business-to-Business e-business platforms.

Feng Yin, Rongjun Yang, Hongxin Yu, Wei Zhou, Yuanjun Zhao, Shuai Zhang

Concurr. Comput. Pract. Exp., 2023

2022

Understanding the role of big data analytics for coordination of electronic retail service supply chain.

Fatao Wang, Di Wu, Hongxin Yu, Huaxia Shen, Yuanjun Zhao

J. Enterp. Inf. Manag., 2022

2020

Fast Calculation of Probabilistic Power Flow: A Model-Based Deep Learning Approach.

Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang, Youqiang Zhang, Hongxin Yu

IEEE Trans. Smart Grid, 2020

Big data analytics on enterprise credit risk evaluation of e-Business platform.

Fatao Wang, Lihui Ding, Hongxin Yu, Yuanjun Zhao

Inf. Syst. E Bus. Manag., 2020

Big data analytics for financial Market volatility forecast based on support vector machine.

Rongjun Yang, Lin Yu, Yuanjun Zhao, Hongxin Yu, Guiping Xu, Yiting Wu, Zhengkai Liu

Int. J. Inf. Manag., 2020

Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach.

Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu

CoRR, 2020