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)

A Spatial-Temporal Attention Approach for Traffic Prediction. - Xiaoming Shi 001; Heng Qi; Yanming Shen; Genze Wu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

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)

HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. - Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Hongyuan Mei (NeurIPS, 2022)

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. - Chao Qu; Xiaoyu Tan; Siqiao Xue; Xiaoming Shi 001; James Zhang; Hongyuan Mei (AAAI, 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)

Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. - Xiaoming Shi 001; Siqiao Xue; Kangrui Wang; Fan Zhou 012; James Y. Zhang; Jun Zhou 011; Chenhao Tan; Hongyuan Mei (NeurIPS, 2023)

Prompt-augmented Temporal Point Process for Streaming Event Sequence. - Siqiao Xue; Yan Wang 002; Zhixuan Chu; Xiaoming Shi 001; Caigao Jiang; Hongyan Hao; Gangwei Jiang; Xiaoyun Feng; James Zhang; Jun Zhou 011 (NeurIPS, 2023)

Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. - Xiaoyu Tan; Yongxin Deng; Chao Qu; Siqiao Xue; Xiaoming Shi 001; James Y. Zhang; Xihe Qiu (SIGIR-AP, 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)

EasyTPP: Towards Open Benchmarking the Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Fan Zhou 012; Hongyan Hao; Caigao Jiang; Chen Pan; Yi Xu; James Y. Zhang; Qingsong Wen; Jun Zhou 011; et al. (CoRR, 2023)

Prompt-augmented Temporal Point Process for Streaming Event Sequence. - Siqiao Xue; Yan Wang 002; Zhixuan Chu; Xiaoming Shi 001; Caigao Jiang; Hongyan Hao; Gangwei Jiang; Xiaoyun Feng; James Y. Zhang; Jun Zhou 011 (CoRR, 2023)

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)

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)

EasyTPP: Towards Open Benchmarking Temporal Point Processes. - Siqiao Xue; Xiaoming Shi 001; Zhixuan Chu; Yan Wang 002; Hongyan Hao; Fan Zhou 012; Caigao Jiang; Chen Pan; James Y. Zhang; Qingsong Wen; Jun Zhou 011; Hongyuan Mei (ICLR, 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; Xiaoming Shi 001; Zhou Ye 001; Baichuan Mo; Wenze Lin; Shengtong Ju; Zhixuan Chu; Ming Jin 005 (ICLR, 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)