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ORCIDShiyu Wang 0001
Person information
- affiliation: Ant Group, Hangzhou, China
- affiliation (former): Xidian University, Xi'an, China
Other persons with the same name
- Shiyu Wang (aka: Shi-Yu Wang) — disambiguation page
- Shiyu Wang 0002
![[0000-0003-2545-0051]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2545-0051")
— Emory University, Atlanta, GA, USA - Shiyu Wang 0003 — Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China
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Journal Articles
- 2019
[j2]Fan Deng, Jie Lu, Shi-Yu Wang, Jie Pan, Li-Yong Zhang:
A distributed PDP model based on spectral clustering for improving evaluation performance. World Wide Web 22(4): 1555-1576 (2019)- 2018
- [j1]Fan Deng, Shiyu Wang, Liyong Zhang, Xiaoqian Wei, Jingping Yu:
Establishment of attribute bitmaps for efficient XACML policy evaluation. Knowl. Based Syst. 143: 93-101 (2018)
Conference and Workshop Papers
- 2025
- [c14]Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin:
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. ICLR 2025 - 2024
- [c13]Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li:
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CIKM 2024: 4431-4438 - [c12]Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou:
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. CIKM 2024: 4948-4956 - [c11]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:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c10]Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long:
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. ICLR 2024 - [c9]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR 2024 - [c8]Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang:
Intelligent Agents with LLM-based Process Automation. KDD 2024: 5018-5027 - [c7]Shiyu Wang:
NeuralReconciler for Hierarchical Time Series Forecasting. WSDM 2024: 731-739 - 2023
- [c6]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun:
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. AAAI 2023: 11417-11425 - [c5]Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng:
Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. DASFAA (1) 2023: 167-176 - [c4]Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian:
Full Scaling Automation for Sustainable Development of Green Data Centers. IJCAI 2023: 6264-6271 - 2022
- [c3]Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng:
End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. ICDM (Workshops) 2022: 1087-1094 - [c2]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:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 2022: 4290-4299 - 2021
- [c1]Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang:
A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN 2021: 1-7
Informal and Other Publications
- 2025
- [i17]Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen:
Position: Empowering Time Series Reasoning with Multimodal LLMs. CoRR abs/2502.01477 (2025) - [i16]Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin:
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. CoRR abs/2502.15016 (2025) - [i15]Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin:
Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. CoRR abs/2507.15119 (2025) - 2024
- [i14]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR abs/2405.14616 (2024) - [i13]Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li:
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CoRR abs/2407.19688 (2024) - [i12]Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou:
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. CoRR abs/2407.19697 (2024) - [i11]Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen:
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making. CoRR abs/2408.01000 (2024) - [i10]Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin:
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR abs/2409.16040 (2024) - [i9]Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin:
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. CoRR abs/2410.16032 (2024) - 2023
- [i8]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu:
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. CoRR abs/2302.05650 (2023) - [i7]Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu:
Full Scaling Automation for Sustainable Development of Green Data Centers. CoRR abs/2305.00706 (2023) - [i6]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:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i5]Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long:
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR abs/2310.06625 (2023) - [i4]Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, Chenyi Zhuang:
Intelligent Virtual Assistants with LLM-based Process Automation. CoRR abs/2312.06677 (2023) - 2022
- [i3]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:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR abs/2205.15795 (2022) - [i2]Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang:
A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR abs/2211.11758 (2022) - [i1]Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu:
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. CoRR abs/2212.13706 (2022)
Coauthor Index
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