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ORCIDXiaoming Shi 0001
Person information
- affiliation: Dalian University of Technology, School of Electronic Information and Electrical Engineering, Dalian, China
Other persons with the same name
- Xiaoming Shi — disambiguation page
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2020 – today
- 2025
[c13]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- [c12]Shiyu Wang, Wei Lu
, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen:
FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. KDD (2) 2025: 4995-5006 - [i14]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
- [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]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 - [c9]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 2024 - [i13]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) - [i12]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR abs/2409.14945 (2024) - [i11]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) - [i10]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
- [c8]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI 2023: 9543-9551 - [c7]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 - [c6]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS 2023 - [c5]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS 2023 - [c4]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP 2023: 205-211 - [i9]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) - [i8]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR abs/2305.16646 (2023) - [i7]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR abs/2307.08097 (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]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR abs/2310.04993 (2023) - 2022
- [c3]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 - [c2]Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS 2022 - [i4]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR abs/2201.12569 (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, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR abs/2210.01753 (2022) - [i1]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) - 2021
- [j1]Xiaoming Shi, Heng Qi, Yanming Shen, Genze Wu, Baocai Yin:
A Spatial-Temporal Attention Approach for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 22(8): 4909-4918 (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
Coauthor Index
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