Qingsong Wen

54 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🏆 Grand Slam 👑 Triple Crown 🏆 Keyword Champion (3) 🤝 Dynamic Duo (14) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (18) 🗃️ Keyword Collector (202) ❓ The Questioner 💎 Century Club (50) 🔥 Unstoppable (5)

Conferences

AAAI (12) NIPS (11) ICLR (10) IJCAI (6) ACL (5) EMNLP (5) ICML (5)

Top co-authors

Liang Sun (14) Yuxuan Liang (12) Kun Wang (11) Shen Wang (6) Yibo Yan (6) Tian Zhou (6) Ming Jin (6) Shirui Pan (5) xue wang (5) Rong Jin (5)

Research topics

Keywords

time series forecasting (13) large language model (10) multi-agent system (5) anomaly detection (4) time series (4) educational technology (4) deep learning (3) multimodal learning (3) tutoring system (2) neural network architecture (2) language model (2) sparse regularization (2) long-term forecasting (2) error detection (2) concept drift (2) question answering (2) time series analysis (2) representation learning (2) mathematical reasoning (2) seasonal-trend decomposition (2)

Papers

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation AAAI 2026

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication AAAI 2026

NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation AAAI 2026

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting AAAI 2026

LLM Agents for Education: Advances and Applications EMNLP 2025

Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025

Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting IJCAI 2025

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025

Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR 2025

OneForecast: A Universal Framework for Global and Regional Weather Forecasting ICML 2025

UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction AAAI 2025

Knowledge Tagging with Large Language Model Based Multi-Agent System AAAI 2025

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction AAAI 2025

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions ACL 2025

Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025

MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection ACL 2025

NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges ACL 2025

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition EMNLP 2025

Position: LLMs Can be Good Tutors in English Education EMNLP 2025

UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks EMNLP 2025

Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach IJCAI 2024

Generative Semi-supervised Graph Anomaly Detection NIPS 2024

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024

CulturePark: Boosting Cross-cultural Understanding in Large Language Models NIPS 2024

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024

AutoSurvey: Large Language Models Can Automatically Write Surveys NIPS 2024

Task-oriented Time Series Imputation Evaluation via Generalized Representers NIPS 2024

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024

Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024

Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024

EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024

Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023

AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NIPS 2023

ADGym: Design Choices for Deep Anomaly Detection NIPS 2023

Transformers in Time Series: A Survey IJCAI 2023

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NIPS 2022

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting NIPS 2022

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022

Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021

RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering IJCAI 2019

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series AAAI 2019