Wen, Qingsong

50 publications

AAAI 2025 AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen

NeurIPS 2025 Can LLMs Correct Themselves? a Benchmark of Self-Correction in LLMs Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun

ECML-PKDD 2025 Cross-Domain Conditional Diffusion Models for Time Series Imputation Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding

IJCAI 2025 Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen

ICLRW 2025 ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models via Error Detection Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, YiFan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

NeurIPS 2025 Improving Bilinear RNN with Closed-Loop Control Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun

AAAI 2025 Knowledge Tagging with Large Language Model Based Multi-Agent System Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

IJCAI 2025 Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun

ICLR 2025 MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios That Are Difficult for Humans? YiFan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin

NeurIPS 2025 Multi-Scale Finetuning for Encoder-Based Time Series Foundation Models Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai Nagaratnam Suganthan, Xudong Jiang, Savitha Ramasamy

ICML 2025 OneForecast: A Universal Framework for Global and Regional Weather Forecasting Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang

ICLR 2025 Open-CK: A Large Multi-Physics Fields Coupling Benchmarks in Combustion Kinetics Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang

NeurIPS 2025 SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Qingsong Wen, Shikun Zhang, Wei Ye

NeurIPS 2025 ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan

ICLRW 2025 Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu

ICLR 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

ICML 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang

AAAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

AAAI 2025 UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang

NeurIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

NeurIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

ICML 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun

ICLR 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

NeurIPS 2024 CulturePark: Boosting Cross-Cultural Understanding in Large Language Models Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang

ICLR 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

ICLR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

NeurIPS 2024 Generative Semi-Supervised Graph Anomaly Detection Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

ICLR 2024 Online GNN Evaluation Under Test-Time Graph Distribution Shifts Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan

ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

ICML 2024 Position: What Can Large Language Models Tell Us About Time Series Analysis Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

IJCAI 2024 Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and a Data-Driven Approach Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

ICLR 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

NeurIPSW 2024 Scaling to Billion Parameters for Time Series Foundation Models with Mixture of Experts Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin

NeurIPS 2024 Task-Oriented Time Series Imputation Evaluation via Generalized Representers Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang

NeurIPS 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang

ICLR 2024 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

NeurIPS 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

NeurIPS 2023 ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

AAAI 2023 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang

AAAI 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

NeurIPS 2023 OneNet: Enhancing Time Series Forecasting Models Under Concept Drift by Online Ensembling Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

IJCAI 2023 Transformers in Time Series: A Survey Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun

AAAI 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun

NeurIPSW 2022 Chemistry Guided Molecular Graph Transformer Peisong Niu, Tian Zhou, Qingsong Wen, Liang Sun, Tao Yao

ICML 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-Term Series Forecasting Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

NeurIPS 2022 FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

NeurIPS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan

IJCAI 2021 Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

AAAI 2019 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

IJCAI 2019 RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan