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Yuqi Nie

3 papers · 2023–2025 · 2 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 Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (11) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter

Venues

ICLR (2) AAAI (1)

Top co-authors

Qingsong Wen (2) Nam H Nguyen (1) Xiaoming Shi (1) Zepu Wang (1) Jayant Kalagnanam (1) peng sun (1) Shiyu Wang (1) Dianqi Li (1) Yuxuan Liang (1) Tian Zhou (1)

Research topics

Deep Learning (3) Architectures (3) Machine Learning (2) Optimization & Theory Β· Machine Learning (2) Artificial Intelligence (1) Data Science & Analytics (1) Core AI (1) Core Methods (1) Learning Types (1) Methods (1) Optimization & Theory Β· Deep Learning (1)

Keywords

time series forecasting (3) channel independence (2) sequential learning (1) long short-term memory (1) recurrent neural network (1) foundation model (1) mixture of expert (1) sparse activation (1) masked pre-training (1) long-term forecasting (1) self-supervised representation learning (1) patching technique (1) transformer architecture (1) exponential gating (1) sequence modeling (1)

Papers

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 A Time Series is Worth 64 Words: Long-term Forecasting with Transformers ICLR 2023