Shi, Xiaoming

16 publications

AAAI 2025 Coherency Improved Explainable Recommendation via Large Language Model Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang

AAAI 2025 STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang

ICLR 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

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

ICLR 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes 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

ACML 2024 Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models Mengliang He, Aimin Zhou, Xiaoming Shi

NeurIPSW 2024 Scaling to Billion Parameters for Time Series Foundation Models with Mixture of Experts Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

ICLR 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models 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

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

AAAI 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei

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

NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

AAAI 2023 Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-Training Towards Retrieval Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang

NeurIPS 2023 Prompt-Augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

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

AAAI 2020 Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang