Guo Qin

12 papers A* 5Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRA: Covariate-Aware Adaptation of Time Series Foundation Models.
CoRR
Guo Qin, Zhi Chen, Yong Liu, Zhiyuan Shi, Haixuan Liu, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025 A* conf
Sundial: A Family of Highly Capable Time Series Foundation Models.
ICML
Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025 J jnl
Sundial: A Family of Highly Capable Time Series Foundation Models.
CoRR
Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2025 A* conf
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.
ICLR
Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024 A* conf
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.
NeurIPS
Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024 J jnl
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models.
CoRR
Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2024 A* conf
Efficient ConvBN Blocks for Transfer Learning and Beyond.
ICLR
Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
2024 A* conf
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables.
NeurIPS
Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
2024 J jnl
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.
CoRR
Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
2023 J jnl
Tune-Mode ConvBN Blocks For Efficient Transfer Learning.
CoRR
Kaichao You, Anchang Bao, Guo Qin, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
2012 — conf
Improved Method of Relation Extraction Using Subsequence Kernel.
CICSyN
Kong Mu, Guo Qin
2006 — conf
An Economic Semantic Web Platform.
GCC Workshops
Xiaoyong Du, He Hu, Man Li, Wenjuan Wu, Guo Qin