Establishment of attribute bitmaps for efficient XACML policy evaluation. - Fan Deng 003; Shiyu Wang 001; Liyong Zhang; Xiaoqian Wei; Jingping Yu (Knowl. Based Syst., 2018)

A distributed PDP model based on spectral clustering for improving evaluation performance. - Fan Deng 003; Jie Lu; Shi-Yu Wang 001; Jie Pan; Li-Yong Zhang (World Wide Web, 2019)

A Graph Regularized Point Process Model For Event Propagation Sequence. - Siqiao Xue; Xiaoming Shi 001; Hongyan Hao; Lintao Ma; James Zhang; Shiyu Wang 001; Shijun Wang (IJCNN, 2021)

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng (ICDM (Workshops), 2022)

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. - Siqiao Xue; Chao Qu; Xiaoming Shi 001; Cong Liao; Shiyi Zhu; Xiaoyu Tan; Lintao Ma; Shiyu Wang 001; Shijun Wang; Yun Hu 001; Lei Lei 001; Yangfei Zheng; et al. (KDD, 2022)

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2022)

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Hu Yun (AAAI, 2023)

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. - Shiyu Wang 001; Yinbo Sun; Yan Wang 002; Fan Zhou 012; Lintao Ma; James Zhang; Yangfei Zheng (DASFAA (1), 2023)

Full Scaling Automation for Sustainable Development of Green Data Centers. - Shiyu Wang 001; Yinbo Sun; Xiaoming Shi 001; Shiyi Zhu; Lintao Ma; James Zhang; Yangfei Zheng; Liu Jian (IJCAI, 2023)

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2023)

Full Scaling Automation for Sustainable Development of Green Data Centers. - Shiyu Wang 001; Yinbo Sun; Xiaoming Shi 001; Shiyi Zhu; Linfao Ma; James Zhang; Yifei Zheng; Jian Liu (CoRR, 2023)

Intelligent Virtual Assistants with LLM-based Process Automation. - Yanchu Guan; Dong Wang 062; Zhixuan Chu; Shiyu Wang 001; Feiyue Ni; Ruihua Song; Longfei Li; Jinjie Gu; Chenyi Zhuang (CoRR, 2023)

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. - Shiyu Wang 001; Zhixuan Chu; Yinbo Sun; Yu Liu 071; Yuliang Guo; Yang Chen; Huiyang Jian; Lintao Ma; Xingyu Lu; Jun Zhou 011 (CIKM, 2024)

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. - Zhixuan Chu; Hui Ding; Guang Zeng 001; Shiyu Wang 001; Yiming Li 004 (CIKM, 2024)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. - Ming Jin 005; Shiyu Wang 001; Lintao Ma; Zhixuan Chu; James Y. Zhang; Xiaoming Shi 001; Pin-Yu Chen; Yuxuan Liang; Yuan-Fang Li; Shirui Pan; Qingsong Wen (ICLR, 2024)

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. - Yong Liu; Tengge Hu; Haoran Zhang; Haixu Wu; Shiyu Wang 001; Lintao Ma; Mingsheng Long (ICLR, 2024)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. - Shiyu Wang 001; Haixu Wu; Xiaoming Shi 001; Tengge Hu; Huakun Luo; Lintao Ma; James Y. Zhang; Jun Zhou 011 (ICLR, 2024)

Intelligent Agents with LLM-based Process Automation. - Yanchu Guan; Dong Wang 062; Zhixuan Chu; Shiyu Wang 001; Feiyue Ni; Ruihua Song; Chenyi Zhuang (KDD, 2024)

NeuralReconciler for Hierarchical Time Series Forecasting. - Shiyu Wang 001 (WSDM, 2024)

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making. - Yang Luo; Shiyu Wang 001; Zhemeng Yu; Wei Lu; Xiaofeng Gao 001; Lintao Ma; Guihai Chen (CoRR, 2024)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi 001; Shiyu Wang 001; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin 005 (CoRR, 2024)

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. - Shiyu Wang 001; Jiawei Li 017; Xiaoming Shi 001; Zhou Ye 001; Baichuan Mo; Wenze Lin; Shengtong Ju; Zhixuan Chu; Ming Jin 005 (ICLR, 2025)

Position: Empowering Time Series Reasoning with Multimodal LLMs. - Yaxuan Kong; Yiyuan Yang; Shiyu Wang 001; Chenghao Liu; Yuxuan Liang; Ming Jin 005; Stefan Zohren; Dan Pei; Yan Liu 069; Qingsong Wen (CoRR, 2025)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. - Juntong Ni; Zewen Liu 005; Shiyu Wang 001; Ming Jin 005; Wei Jin 009 (CoRR, 2025)

Are We Overlooking the Dimensions? Learning Latent Hierarchical Channel Structure for High-Dimensional Time Series Forecasting. - Juntong Ni; Shiyu Wang 001; Zewen Liu 005; Xiaoming Shi 001; Xinyue Zhong; Zhou Ye 001; Wei Jin 009 (CoRR, 2025)