Qingsong Wen
- Papers
- 32
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Authored papers
32AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
arXiv 2026
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
arXiv 2026
GradientStabilizer:Fix the Norm, Not the Gradient
arXiv 2025
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models
arXiv 2026
Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math
arXiv 2026
Aligning Multimodal LLM with Human Preference: A Survey
arXiv 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
arXiv 2025
Large Language Models Post-training: Surveying Techniques from Alignment to Reasoning
arXiv 2025
NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation
arXiv 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
AutoSurvey: Large Language Models Can Automatically Write Surveys
arXiv 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
arXiv 2024
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
arXiv 2024
Deep Learning for Multivariate Time Series Imputation: A Survey
arXiv 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
arXiv 2024
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
arXiv 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations
arXiv 2024
Time Series Analysis for Education: Methods, Applications, and Future Directions
arXiv 2024
Online GNN Evaluation Under Test-time Graph Distribution Shifts
arXiv 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
arXiv 2024
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
arXiv 2024
Debiasing Multimodal Large Language Models
arXiv 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
arXiv 2024
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
arXiv 2023
EasyTPP: Towards Open Benchmarking Temporal Point Processes
arXiv 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
arXiv 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
arXiv 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
onenet-enhancing-time-series-forecasting
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
arXiv 2023
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
arXiv 2023
Transformers in Time Series: A Survey
arXiv 2022
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