Shiyu Wang

According to our database, Shiyu Wang authored at least 22 papers between 2018 and 2024.

Collaborative distances:

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

2024

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.

Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin

CoRR, 2024

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

CoRR, 2024

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making.

Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen

CoRR, 2024

NeuralReconciler for Hierarchical Time Series Forecasting.

Shiyu Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Intelligent Agents with LLM-based Process Automation.

Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting.

Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.

Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Intelligent Virtual Assistants with LLM-based Process Automation.

Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu

CoRR, 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

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

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

2021

A Graph Regularized Point Process Model For Event Propagation Sequence.

Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

A distributed PDP model based on spectral clustering for improving evaluation performance.

Fan Deng, Jie Lu, Shi-Yu Wang, Jie Pan, Li-Yong Zhang

World Wide Web, 2019

2018

Establishment of attribute bitmaps for efficient XACML policy evaluation.

Fan Deng, Shiyu Wang, Liyong Zhang, Xiaoqian Wei, Jingping Yu

Knowl. Based Syst., 2018