Yangfei Zheng

According to our database, Yangfei Zheng authored at least 10 papers between 2022 and 2023.

Collaborative distances:

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

2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Rule-Based Unstructured Information Extraction Model for Announcements of Listed Companies' Stock Increase or Decrease.

Xiang Cheng, Yangfei Zheng

Proceedings of the 7th International Conference on Computing and Data Analysis, 2023

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.

Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng

Proceedings of the Database Systems for Advanced Applications, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.

Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu

CoRR, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.

Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Memory Augmented State Space Model for Time Series Forecasting.

Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.

Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

DeepScaling: microservices autoscaling for stable CPU utilization in large scale cloud systems.

Ziliang Wang, Shiyi Zhu, Jianguo Li, Wei Jiang, K. K. Ramakrishnan, Yangfei Zheng, Meng Yan, Xiaohong Zhang, Alex X. Liu

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022