Zhang, James Y.

7 publications

NeurIPS 2025 TS-RAG: Retrieval-Augmented Generation Based Time Series Foundation Models Are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

ICLR 2024 Continuous Invariance Learning Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

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

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

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

ICMLW 2022 Learning Large-Scale Universal User Representation with Sparse Mixture of Experts Caigao Jiang, Siqiao Xue, James Y. Zhang, Lingyue Liu, Zhibo Zhu, Hongyan Hao