Qingsong Wen

Affiliations

Squirrel Ai Learning (U.S.)

papers

808

total citations

papers (12)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

NEURIPS 2022arXiv

290

citations

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

ICLR 2025arXiv

194

citations

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

NEURIPS 2023arXiv

citations

Unlocking the Power of LSTM for Long Term Time Series Forecasting

AAAI 2025arXiv

citations

Position: What Can Large Language Models Tell Us about Time Series Analysis

ICML 2024arXiv

citations

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

ICML 2025arXiv

citations

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition

ICML 2024arXiv

citations

Improving Bilinear RNN with Closed-loop Control

NEURIPS 2025arXiv

citations

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

NEURIPS 2025arXiv

citations

Qingsong Wen

Affiliations

papers (12)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Position: What Can Large Language Models Tell Us about Time Series Analysis

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment

ADGym: Design Choices for Deep Anomaly Detection

Online GNN Evaluation Under Test-time Graph Distribution Shifts

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition

Improving Bilinear RNN with Closed-loop Control

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

papers (12)

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Position: What Can Large Language Models Tell Us about Time Series Analysis

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment

ADGym: Design Choices for Deep Anomaly Detection

Online GNN Evaluation Under Test-time Graph Distribution Shifts

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition

Improving Bilinear RNN with Closed-loop Control

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs