Guo Qin

5 papers · 2024–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICLR (2) NeurIPS (2) ICML (1)

Top co-authors

Mingsheng Long (5) Yong Liu (4) Jianmin Wang (4) Xiangdong Huang (3) Haixu Wu (1) Jiulong Shan (1) Zhiyuan Shi (1) Haoran Zhang (1) Caiyin Yang (1) Zhi Chen (1)

Research topics

Artificial Intelligence (4) Deep Learning (4) Data Science & Analytics (3) Machine Learning (3) Architectures (3) Core AI (3) Methods (3) Application Areas (2) Learning Types (2) Techniques (2) Learning Paradigms (1)

Keywords

time series forecasting (2) foundation model (2) attention mechanism (1) batch normalization (1) transformer (1) efficient computing (1) pretraining (1) multivariate time series (1) autoregressive model (1) convolutional neural network (1) model deployment (1) exogenous variable (1) position embedding (1) large language model (1) endogenous variable (1) in-context forecasting (1) zero-shot (1) multivariate (1) causal (1) timeattention (1)

Papers

Sundial: A Family of Highly Capable Time Series Foundation Models ICML 2025 Timer-XL: Long-Context Transformers for Unified Time Series Forecasting ICLR 2025 AutoTimes: Autoregressive Time Series Forecasters via Large Language Models NeurIPS 2024 Efficient ConvBN Blocks for Transfer Learning and Beyond ICLR 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NeurIPS 2024