Xiaoming Shi - RankMe

28 papers A* 10B 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. CoRR Juntong Ni, Shiyu Wang, Zewen Liu, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Wei Jin
2025	—	`conf`	FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. KDD (2) Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen
2025	A*	`conf`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. ICLR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2024	J	`jnl`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2024	A*	`conf`	EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 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
2024	A*	`conf`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 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
2024	J	`jnl`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2024	J	`jnl`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. CoRR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2024	A*	`conf`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024	J	`jnl`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2023	—	`conf`	Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu
2023	A*	`conf`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2023	J	`jnl`	EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR 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
2023	A*	`conf`	Full Scaling Automation for Sustainable Development of Green Data Centers. IJCAI Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian
2023	J	`jnl`	Full Scaling Automation for Sustainable Development of Green Data Centers. CoRR Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu
2023	A*	`conf`	Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023	J	`jnl`	Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023	A*	`conf`	Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou
2023	J	`jnl`	Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou
2023	J	`jnl`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR 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
2022	J	`jnl`	A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
2022	A*	`conf`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 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
2022	J	`jnl`	A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR 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
2022	J	`jnl`	Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
2022	A*	`conf`	HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2022	J	`jnl`	HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei
2021	B	`conf`	A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang
2021	J	`jnl`	A Spatial-Temporal Attention Approach for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Xiaoming Shi, Heng Qi, Yanming Shen, Genze Wu, Baocai Yin