Chenghu Yang

According to our database, Chenghu Yang authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting.

Donghui Chen, Ling Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang

ACM Trans. Knowl. Discov. Data, January, 2025

2024

Noise-Resistant Graph Neural Networks for Session-Based Recommendation.

Qi Wang, Anbiao Wu, Ye Yuan, Yishu Wang, Guangqing Zhong, Xuefeng Gao, Chenghu Yang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2022

AARGNN: An Attentive Attributed Recurrent Graph Neural Network for Traffic Flow Prediction Considering Multiple Dynamic Factors.

Ling Chen, Wei Shao, Mingqi Lv, Weiqi Chen, Youdong Zhang, Chenghu Yang

IEEE Trans. Intell. Transp. Syst., 2022

A Multiscale Interactive Recurrent Network for Time-Series Forecasting.

Donghui Chen, Ling Chen, Youdong Zhang, Bo Wen, Chenghu Yang

IEEE Trans. Cybern., 2022

Tair-PMem: a Fully Durable Non-Volatile Memory Database.

Caixin Gong, Chengjin Tian, Zhengheng Wang, Sheng Wang, Xiyu Wang, Qiulei Fu, Wu Qin, Qian Long, Rui Chen, Jiang Qi, Ruo Wang, Guoyun Zhu, Chenghu Yang, Wei Zhang, Feifei Li

Proc. VLDB Endow., 2022

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting.

Ling Chen, Donghui Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang

CoRR, 2022

2021

Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting.

Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang

CoRR, 2021