Ziqing MA

4 papers · 2022–2023 · 4 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 (10) 🐣 Hot Topic Early Bird

Venues

AAAI (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Tian Zhou (4) Qingsong Wen (4) Liang Sun (4) xue wang (2) Rong Jin (2) Weiqi Chen (2) Zhaoyang Zhu (1) Rui Xia (1) Junchi Yan (1) Hengbo Liu (1)

Research topics

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

Keywords

time series forecasting (3) anomaly detection (1) time series (1) fourier transform (1) frequency domain (1) long-term forecasting (1) model interpretation (1) multivariate forecasting (1) long-range dependencies (1) seasonal-trend decomposition (1) load forecasting (1) electricity forecasting (1) renewable energy forecasting (1) legendre polynomial (1) representation learning (1) fourier projection (1)

Papers

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023 Transformers in Time Series: A Survey IJCAI 2023 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NeurIPS 2022