百晓学者学者目录

文青松

博士生导师、教授，华东师范大学

精选作品

期刊论文

2025

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback

Yi-Yuan Yang, Zichuan Liu, Lei Song, Kai Ying, Stephen Wang, J. Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen

Annual Meeting of the Association for Computational Linguistics

DOI

2025

LLM Agents for Education: Advances and Applications

Zhen-Dong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jin Ye, Aoxiao Zhong, Xu-Ming Hu, Jing Liang, Philip S. Yu, Qingsong Wen

Conference on Empirical Methods in Natural Language Processing

DOI

2025

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

Ya-Xuan Kong, Yi-Yuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen

Annual Meeting of the Association for Computational Linguistics

DOI

2025

UniEDU: A Unified Language and Vision Assistant for Education Applications

Zhen-Dong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen

arXiv.org

DOI

2025

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

Zhen-Dong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen

Conference on Empirical Methods in Natural Language Processing

DOI

2025

ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code

Jian Xie, Zhen-Dong Chu, Aoxiao Zhong, Kai-Yi Zhang, Ming-Zhe Han, Xing Fan, Jia-Lie Shen, Qingsong Wen

Annual Meeting of the Association for Computational Linguistics

DOI

2024

一元及多元信号分解发展历程与展望

陈启明，文青松，郎恂，谢磊，苏宏业

《自动化学报》

DOI

2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Kexin Zhang, Qingsong Wen, Chao-Li Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Y. Liang, Guansong Pang, Dong-Jin Song, Shirui Pan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

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

Zhaoyang Zhu, Weiqiu Chen, Rui Xia, Tian Zhou, Peisong Niu, Bing-Qing Peng, Wen-Wu Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun

AAAI Conference on Artificial Intelligence

DOI

2023

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting

Ming Jin, Guang-Si Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, F. Salim, Liang Zhao, Ling-Fei Wu, Qingsong Wen, Shirui Pan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiao-Kang Yang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition

Shikai Fang, Qingsong Wen, Yingtao Luo, Shan-Dian Zhe, Liang Sun

International Conference on Machine Learning

DOI

2023

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, C. Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

DiffLoad: Uncertainty Quantification in Electrical Load Forecasting With the Diffusion Model

Zhixian Wang, Qingsong Wen, Chao-Li Zhang, Liang Sun, Yi Wang

IEEE Transactions on Power Systems

DOI

2023

Federated fuzzy k-means for privacy-preserving behavior analysis in smart grids

Yi Wang, Jia-Hao Ma, Ning Gao, Qingsong Wen, Liang Sun, Hong-Ye Guo

Applied Energy

DOI

2023

Improving Load Forecasting Performance via Sample Reweighting

Chenxi Wang, Yangze Zhou, Qingsong Wen, Yi Wang

IEEE Transactions on Smart Grid

DOI

2023

SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events

Hengbo Liu, Ziqing Ma, Lin-Xiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2023

The 9th SIGKDD International Workshop on Mining and Learning from Time Series

S. Purushotham, Dong-Jin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka

Knowledge Discovery and Data Mining

DOI

2023

EasyTPP: Towards Open Benchmarking Temporal Point Processes

Si-Qiao Xue, X. Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Cai-Gao Jiang, Chenyuan Pan, James Y. Zhang, Qingsong Wen, Junqing Zhou, Hong-Yuan Mei

International Conference on Learning Representations

2023

Robust Dominant Periodicity Detection for Time Series with Missing Data

Qingsong Wen, Lin-Xiao Yang, Liang Sun

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2023

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Yiyuan Yang, Chao-Li Zhang, Tian Zhou, Qingsong Wen, Liang Sun

Knowledge Discovery and Data Mining

DOI

2023

A Global Modeling Framework for Load Forecasting in Distribution Networks

Miha Grabner, Yi Wang, Qingsong Wen, B. Blazic, Vitomir Štruc

IEEE Transactions on Smart Grid

DOI

2023

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

Wang Xue, Tian Zhou, Qingsong Wen, Jinyang Gao, Bo-Lin Ding, Rong Jin

International Conference on Learning Representations

2023

Robust Load Forecasting Towards Adversarial Attacks via Bayesian Learning

Yihong Zhou, Zhaohao Ding, Qingsong Wen, Yi Wang

IEEE Transactions on Power Systems

DOI

2023

Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings

Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqiu Chen, Liang Sun, Yi Wang

IEEE Transactions on Smart Grid

DOI

2023

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

Yifan Zhang, Qingsong Wen, Xue Wang, Weiqiu Chen, Liang Sun, Z. Zhang, Liang Wang, Rong Jin, Tien-Ping Tan

Neural Information Processing Systems

DOI

2022

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Yuxuan Liang, Yu-Tong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Jun-Bo Zhang, Yu Zheng, R. Zimmermann

AAAI Conference on Artificial Intelligence

DOI

2022

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

Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

International Conference on Machine Learning

2022

Transformers in Time Series: A Survey

Qingsong Wen, Tian Zhou, Chao-Li Zhang, Weiqiu Chen, Ziqing Ma, Junchi Yan, Liang Sun

International Joint Conference on Artificial Intelligence

DOI

2022

Robust Time Series Analysis and Applications: An Industrial Perspective

Qingsong Wen, Lin-Xiao Yang, Tian Zhou, Liang Sun

Knowledge Discovery and Data Mining

DOI

2022

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

Chen-Xiao Yang, Qi-Tian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan

Neural Information Processing Systems

DOI

2022

Adaptive probabilistic load forecasting for individual buildings

Chenxi Wang, Dalin Qin, Qingsong Wen, Tian Zhou, Liang Sun, Yi Wang

iEnergy

DOI

2022

Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting

Weiqiu Chen, Wen-Wu Wang, Bing-Qing Peng, Qingsong Wen, Tian Zhou, Liang Sun

Knowledge Discovery and Data Mining

DOI

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, Wo-Tao Yin, Rong Jin

Neural Information Processing Systems

DOI

2022

TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting

Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin

arXiv.org

DOI

2022

Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection

Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun

International Conference on Information and Knowledge Management

DOI

2022

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Chao-Li Zhang, Tian Zhou, Qingsong Wen, Liang Sun

International Conference on Information and Knowledge Management

DOI

2021

Two-Stage Framework for Seasonal Time Series Forecasting

Qingyang Xu, Qingsong Wen, Liang Sun

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2021

A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition

Lin-Xiao Yang, Qingsong Wen, Bo Yang, Liang Sun

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2021

Extraction Method of Characteristic Parameters of Magnetic Acoustic Emission Signals Based on CEEMD

Shan-chin Wu, Zeng-Hua Liu, Zhi-Nong Li, Gong-Tian Shen, Qingsong Wen

2021 IEEE Far East NDT New Technology & Application Forum (FENDT)

DOI

2020

Time Series Data Augmentation for Deep Learning: A Survey

Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jing Gao, Xue Wang, Huan Xu

International Joint Conference on Artificial Intelligence

DOI

2020

Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns

Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun

Knowledge Discovery and Data Mining

DOI

2020

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Jing Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu

arXiv.org

2020

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection

Qingsong Wen, Kai He, Liang Sun, Ying-Ying Zhang, Min Ke, Huan-Min Xu

SIGMOD Conference

DOI

2020

On Robust Variance Filtering and Change of Variance Detection

Qingsong Wen, Z. Ma, Liang Sun

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2019

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

Qingsong Wen, Jing Gao, Xiaomin Song, Liang Sun, Jian Tan

International Joint Conference on Artificial Intelligence

DOI

2018

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

Qingsong Wen, Jing Gao, Xiaomin Song, Liang Sun, Huan Xu, Sheng-Huo Zhu

AAAI Conference on Artificial Intelligence

DOI

2017

Efficient LLL-based lattice reduction for MIMO detection: From algorithms to implementations

Qingsong Wen

2016

Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection

Qingsong Wen, Xiao-Li Ma

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2016

Efficient Greedy LLL Algorithms for Lattice Decoding

Qingsong Wen, Xiao-Li Ma

IEEE Transactions on Wireless Communications

DOI

2016

VLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection

Qingsong Wen, Xiao-Li Ma

International Symposium on Circuits and Systems

DOI

2014

An enhanced fixed-complexity LLL algorithm for MIMO detection

Qingsong Wen, Qi Zhou, Xiao-Li Ma

2014 IEEE Global Communications Conference

DOI

2014

An Efficient Greedy LLL Algorithm for MIMO Detection

Qingsong Wen, Xiao-Li Ma

IEEE Military Communications Conference

DOI

2013

Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm

Qingsong Wen, Qi Zhou, Chunming Zhao, Xiao-Li Ma

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2012

Clipping effect on radiation pattern in downtilt beamforming

Qingsong Wen, Sungeun Lee, Xiao-Li Ma

Asilomar Conference on Signals, Systems and Computers

DOI

2012

Transmitter-side timing adjustment to mitigate interference between multiple nodes for OFDMA mesh network

Sungeun Lee, Xiao-Li Ma, Qingsong Wen

Asilomar Conference on Signals, Systems and Computers

DOI

2011

Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems

Qingsong Wen, Minzhen Ren, Xiao-Li Ma

DOI

2010

Nonlinearity Reduction by Tone Reservation with Null Subcarriers for WiMAX System

Su Hu, Gang Wu, Qingsong Wen, Yue Xiao, Shaoqian Li

Wireless personal communications

DOI

2010

Comparisons of SCR and Active-set Methods for PAPR Reduction in OFDM Systems

Qihui Liang, Qingsong Wen, Yue Xiao, Shaoqian Li

J. Networks

DOI

2009

A Comparison of SCR and Active-Set Methods for PAPR Reduction in OFDM Systems

Qihui Liang, Qingsong Wen, Yue Xiao, Shaoqian Li

2009 International Conference on Networks Security, Wireless Communications and Trusted Computing

DOI

2008

A Modified Partial Transmit Sequence Scheme for PAPR Reduction in OFDM System

Qingsong Wen, Yue Xiao, Peng Cheng, Li-Lin Dan, Shaoqian Li

IEEE Vehicular Technology Conference

DOI

2008

Method and device for processing multi-carrier signal

Chunlin Yan, Li-Lin Dan, 英俊 加山, Zhan Zhang, Yong-Rui Peng, Qingsong Wen, Shao-Qian Li, Teng Li, Yue Xiao

2008

S-PTS for PAPR Reduction in OFDM Systems

Qingsong Wen, Yue Xiao, Peng Cheng, Cong Zhang, Shaoqian Li

International Conference on Wireless Communications, Networking and Mobile Computing

DOI

2008

A Novel Method for Reducing the Side Information of MSR-OFDM System

Xu He, Qingsong Wen, Yue Xiao, Shaoqian Li

2008 Fourth Advanced International Conference on Telecommunications

DOI

2008

Improved ICI Self-Cancellation Scheme for OFDM System Based on Symbol Transform

Qingsong Wen

2008

Maximum diversity gain for single-antenna vector OFDM system

Peng Cheng, Qingsong Wen, Hai-Chao Guo, Yue Xiao, Shaoqian Li

2008 11th IEEE Singapore International Conference on Communication Systems

DOI

2007

A Class of Low Complexity PTS Techniques for PAPR Reduction in OFDM Systems

Yue Xiao, Xia Lei, Qingsong Wen, Shaoqian Li

IEEE Signal Processing Letters

DOI

2007

A Novel User Grouping Scheme for PAPR Reduction in MC-CDMA System

Li-Lin Dan, Qingsong Wen, Yue Xiao, Shaoqian Li

IEEE Vehicular Technology Conference

DOI

2007

Improved PTS for PAPR Reduction in OFDM Systems

Yue Xiao, Qingsong Wen, Xia Lei, Shaoqian Li

Advanced Industrial Conference on Telecommunications

DOI

2007

LC-APTS for PAPR reduction in OFDM systems

Qingsong Wen, Yue Xiao, Shaoqian Li

International Conference on Communications, Circuits and Systems

DOI

2006

A low complexity code selection method for peak to average power ratio reduction in MC-CDMA

Sisi Liu, Yue Xiao, Qingsong Wen, Shaoqian Li

2006 Proceedings of the First Mobile Computing and Wireless Communication International Conference

DOI

2006

The Implement of Low-PAPR OFDM System

Qingsong Wen, Yue Xiao, Shao-Qian Li, H. Kayama, Chunlin Yan

International Conference on Communications, Circuits and Systems

DOI

预印本

2026

HalluTracer: Pre-Decoding Truthfulness Prediction via Depth-Averaged Probe-Logit

Zhihao Guo, Zonghan Wu, Huan Huo, Dayong Ye, Junwei Zhang, Weiran Yao, Zhiwei Liu, Qingsong Wen, Yilei Shao

arXiv (Cornell University)

DOI

2026

Adapting Embedding Models for Agent Capability Retrieval

Tingwei Chen, Yunxiao Shi, Zhengdong Chu, Qingsong Wen, Min Xu

arXiv preprint

2026

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory

Mingxi Zou, Zhihan Guo, Langzhang Liang, Zhuo Wang, Qifan Wang, Qingsong Wen, Irwin King, Lizhen Qu, Zenglin Xu

arXiv preprint

2026

Evaluating LLMs in Finance Requires Explicit Bias Consideration

Yaxuan Kong, Hoyoung Lee, Yoontae Hwang, Alejandro Lopez-Lira, Bradford Levy, Dhagash Mehta, Qingsong Wen, Chanyeol Choi, Yongjae Lee, Stefan Zohren

arXiv preprint

2026

An Interactive Agent for Requirement-Driven Candidate Sourcing

Yuanpeng He, Fangjing Li, Xiangyu Ru, Kexin Sun, Kun Yang, Lijian Li, Chi-Man Pun, Qingsong Wen, Wenpin Jiao, Mingkai Guo, Yirong Feng, Daiheng Gao, Zhi Jin

arXiv preprint

2026

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents

Wentao Hu, Zhendong Chu, Yiming Zhang, Junda Wu, Ming Jin, Xiangyu Zhao, Yilei Shao, Yanfeng Wang, Qingsong Wen

arXiv preprint

2026

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Minghao Guo, Qingyue Jiao, Xiujin Liu, Jianhong Pang, Ruimeng Yang, Naihao Xu, Liwei Che, Haochen Xue, Ziqi Wang, Xinying Cai, Jiaxuan Luo, Jiaxin Deng, Xuesong Ye, Jintao Qu, Wenyao Gao, Jingwen Gu, Chenyang Zhao, Shichun Liu, Guibin Zhang, Zefang Liu, Siyin Wang, Wujiang Xu, Danrui Li, Zeru Shi, Woongyeong Yeo, Shuang Liu, Wei-Chieh Huang, Weizhi Zhang, Tianyu Yang, Kangsan Kim, Yebowen Hu, Bowen Wen, Bowen Jiang, Haohao Su, Ming Yin, Sheldon Yu, Mian Zhang, Yuyan Chen, Hanrong Zhang, Kai Mei, Zihao Zhang, Mingyu Jin, Xi Zhu, Hengyi Wang, Tianxin Wei, Linyong Nan, Zhenwen Liang, Zhendong Chu, Ziqi Huang, Yongye Su, Sixun Dong, Shujian Liu, Kaiqu Liang, Jiaojiao Han, Zhaoye Fei, Kun Wang, Shihan Dou, Zhichun Guo, Xingjian Diao, Zeqi Gu, Heng Wang, Tao Feng, Cheng Qian, Hamid Palangi, Silei Xu, Xi Yun, Yi Zhu, Shilong Liu, Qingsong Wen, Sung Ju Hwang, Zuxuan Wu, Yu-Gang Jiang, Yiyu Shi, Dimitris N. Metaxas, Jiaxuan You, Julian McAuley, Mengdi Wang, Jiawei Han, Philip S. Yu, Ziyi Ye

arXiv preprint

2026

From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions

Xiaolong Wang, Zhe Zhao, Song Lai, Chaoli Zhang, Zijie Geng, Yu Tong, Ye Wei, Qingsong Wen

arXiv preprint

DOI

2026

From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining

Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen

arXiv preprint

2026

TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments

Qingren Yao, Yaxuan Kong, Yuqi Nie, Yichen Li, Stefan Zohren, Anna Vettoruzzo, Qingsong Wen, Ming Jin, Joaquin Vanschoren

arXiv preprint

2026

Mint-Agent: Introducing Finance-Native Agentic Foundation Models

Mint-Agent Team, Kun Wang, Gavin Zhang, Yaze Geng, Lei Tang, Yaoyang Yi, Zonghan Wu, Yifan Hu, Qingsong Wen, Yilei Shao

arXiv preprint

2026

HearSay Benchmark: Do Audio LLMs Leak What They Hear?

Jin Wang, Liang Lin, Kaiwen Luo, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen

arXiv preprint

2026

MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents

Zhenhong Zhou, Yuanhe Zhang, Hongwei Cai, Moayad Aloqaily, Ouns Bouachir, Linsey Pang, Prakhar Mehrotra, Kun Wang, Qingsong Wen

arXiv preprint

2026

Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

Dingjie Song, Tianlong Xu, Yi-Fan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen

arXiv preprint

2026

TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series Reasoning

Yaxuan Kong, Qingren Yao, Yuqi Nie, Yichen Li, Yilei Shao, Stefan Zohren, Anna Vettoruzzo, Joaquin Vanschoren, Ming Jin, Qingsong Wen

arXiv preprint

2026

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

Haolin Chen, Deon Metelski, Leon Qi, Tao Xia, Joonyul Lee, Steve Brown, Kevin Riley, Frank Wang, T. Y. Alvin Liu, Hank Capps MD, Zeyu Tang, Xiangchen Song, Lingjing Kong, Fan Feng, Tianyi Zeng, Zhiwei Liu, Zixian Ma, Hang Jiang, Fangli Geng, Yuan Yuan, Chenyu You, Qingsong Wen, Hua Wei, Yanjie Fu, Yue Zhao, Carl Yang, Biwei Huang, Kun Zhang, Caiming Xiong, Sanmi Koyejo, Eric P. Xing, Philip S. Yu, Weiran Yao

arXiv preprint

2026

ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models

Kaiwen Luo, Liang Lin, Yibo Zhang, Moayad Aloqaily, Jialiang Tao, Dexian Wang, Zhenhong Zhou, Junwei Zhang, Kun Wang, Li Sun, Qingsong Wen

arXiv preprint

2026

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE

Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao

arXiv preprint

2026

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He

arXiv preprint

2026

Designing and Evaluating Next-Generation Learning Interfaces: Linking AI, HCI, and the Learning Sciences

Meng Xia, Yan Chen, Qiao Jin, Yang Shi, Paul Denny, Tiffany Barnes, Qingsong Wen, Vincent Aleven

arXiv preprint

2026

Right Direction, Wrong Step: Geometric Analysis of Finite-Step Failure in Looped Transformers

Zhihao Guo, Zonghan Wu, Haizhou Du, Huan Huo, Yilei Shao, Athanasios V. Vasilakos, Qingsong Wen

arXiv preprint

2026

The Model Plants the Trigger: Answer-Side Backdoor Attacks in Multi-Turn Large Language Models

Yibo Zhang, Tianrong Guan, Liang Lin, Puze Wang, Jin Wang, Qingsong Wen

arXiv preprint

2026

End-to-End Learning for Partially-Observed Time Series with PyPOTS

Wenjie Du, Yiyuan Yang, Tianxiang Zhan, Qingsong Wen

arXiv preprint

2026

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery

Guiyao Tie, Jiawen Shi, Dingjie Song, Yixiao Huang, Ziji Sheng, Xueyang Zhou, Daizong Liu, Pan Zhou, Yongchao Chen, Ran Xu, Lifang He, Qingsong Wen, Manling Li, Cong Lu, Shuai Li, Pengtao Xie, Yixuan Yuan, Rui Meng, Lei Xing, Lichao Sun, Caiming Xiong, Philip S. Yu, Jianfeng Gao

arXiv preprint

2026

Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting

Liu Chong, Yingjie Zhou, Hao Li, Pengyang Wang, Qingsong Wen, Ce Zhu

arXiv preprint

2026

Parallel Complex Diffusion for Scalable Time Series Generation

Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu

arXiv preprint

DOI

2026

It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu

arXiv preprint

2026

Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning

Hyeongmin Lee, Chanyeol Choi, Jihoon Kwon, Yoon Kim, Alejandro Lopez-Lira, Wonbin Ahn, Justin Xu, Srijan Sood, Qingsong Wen, Chun-Li Yang, Yongjae Lee

arXiv preprint

2026

TS-Memory: Plug-and-Play Memory for Time Series Foundation Models

Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang

arXiv preprint

2026

MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models

Yin Zhang, Jiaxuan Zhao, Zonghan Wu, Zengxiang Li, Junfeng Fang, Kun Wang, Qingsong Wen, Yilei Shao

arXiv preprint

2026

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing

Pengxuan Gao, Kai Ying, Botao Wu, Jianhua Mo, Qingsong Wen

arXiv preprint

2026

Forecast Collapse in Time-Series Foundation Models

Shu Wan, Miles Ma, Hank Zhu, Guangqi Liu, Stephen Wang, Qingsong Wen, Huan Liu

arXiv preprint

2026

World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs

Yuanpeng He, Lijian Li, Dongming Jin, Huanyao Zhang, Fangjing Li, Linyu Li, Chung-ju Huang, Tianxiang Zhan, Qingsong Wen, Wenpin Jiao

arXiv preprint

2026

FutureWorlds: Learning Robotic World Models from Alternative Futures

Hao Wu, Shengju Qian, Weiyan Wang, Fan Xu, Fan Zhang, Yuanpeng He, Qingsong Wen, Yuxuan Liang

arXiv preprint

2026

RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User Intent

Xiao Chen, Yicheng Zhao, Yingying Wu, Zhendong Chu, Changyi Ma, Qingsong Wen, Xuan Song

arXiv preprint

2026

REAT: A Reflective Experience-Augmented Tutoring Framework for Multi-turn Mathematical Instruction

Jianheng Zhou, Chaoli Zhang, Xingjun Wei, Xinliang Zhou, Giancarlo Fortino, Xing Fan, Yanfeng Wang, Qingsong Wen, Haoyang Li

arXiv preprint

2026

UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning

Hayes Bai, Yinyi Luo, Wenwen Wang, Qingsong Wen, Jindong Wang

arXiv preprint

2026

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density

Jingru Fei, Kun Yi, Alex Xing Wang, Qingsong Wen, Xiangxiang Zhu, Wei Fan

arXiv preprint

2026

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting

Siru Zhong, Zhao Meng, Haohuan Fu, Haoyang Li, Qingsong Wen, Yuxuan Liang

arXiv preprint

2026

Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting

Zhiqing Cui, Siru Zhong, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

arXiv preprint

2026

SafeSeek: Universal Attribution of Safety Circuits in Language Models

Miao Yu, Siyuan Fu, Moayad Aloqaily, Zhenhong Zhou, Safa Otoum, Xing fan, Kun Wang, Yufei Guo, Qingsong Wen

arXiv preprint

2026

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting

Hao Wu, Fan Xu, Yuxu Lu, Penghao Zhao, Fan Zhang, Hao Jia, Yuxuan Liang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang, Yuan Gao

arXiv preprint

2026

PAC-Bayesian Adversarially Robust Generalization for Message Passing Graph Neural Networks: A Sensitivity Analysis

Ziling Liang, Xinping Yi, Qingsong Wen, Shi Jin

arXiv preprint

2026

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting

Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang

arXiv preprint

2026

DrafTS: Time-Aware Decomposition with Residual Correction for Time Series Modeling

Yiqiu Liu, Siru Zhong, Zhiguang Wang, Qingsong Wen, Yuxuan Liang

arXiv preprint

2026

Deep Time-Series Forecasting in 10 Years: A Survey

Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu

arXiv preprint

2025

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education

Yi-Fan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen

arXiv preprint

2025

AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management

Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen

arXiv preprint

2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Shicheng Xu, Junyuan Mao, Yu Wang, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Wenjie Qu, Yue Liu, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Zhaoxin Fan, Kai Wang, Yi Ding, Donghai Hong, Jiaming Ji, Yingxin Lai, Zitong Yu, Xinfeng Li, Yifan Jiang, Yanhui Li, Xinyu Deng, Junlin Wu, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Qiufeng Wang, Xiaolong Jin, Wenxuan Wang, Dongrui Liu, Yanwei Yue, Wenke Huang, Guancheng Wan, Heng Chang, Tianlin Li, Yi Yu, Chenghao Li, Jiawei Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Jiaheng Zhang, Tianwei Zhang, Xingjun Ma, Jindong Gu, Liang Pang, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Lingjuan Lyu, Yuval Elovici, Bhavya Kailkhura, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

arXiv preprint

2025

Aligning Multimodal LLM with Human Preference: A Survey

Tao Yu, Yi-Fan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan

arXiv preprint

2025

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

Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen

arXiv preprint

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

arXiv preprint

2025

Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence

Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang

arXiv preprint

2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen

arXiv preprint

2025

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework

Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong

arXiv preprint

2025

SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders

Zhuohao Yu, Xingru Jiang, Weizheng Gu, Yidong Wang, Qingsong Wen, Shikun Zhang, Wei Ye

arXiv preprint

2025

Position: LLMs Can be Good Tutors in English Education

Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen

arXiv preprint

2025

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems

Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Srijan Kumar, Weijie Xu, James Evans, Jindong Wang

arXiv preprint

2025

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

Xixun Lin, Yucheng Ning, Jingwen Zhang, Yan Dong, Yilong Liu, Yongxuan Wu, Xiaohua Qi, Nan Sun, Yanmin Shang, Kun Wang, Pengfei Cao, Qingyue Wang, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Peng Zhang, Qingsong Wen, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo

arXiv preprint

2025

The Procrustean Bed of Time Series: The Optimization Bias in Point-wise Loss Functions

Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Daoyi Dong, Hang Yu, Yong Liu, Qingsong Wen

arXiv preprint

2025

Automating Personalization: Prompt Optimization for Recommendation Reranking

Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip Yu

arXiv preprint

2025

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

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang

arXiv preprint

2025

Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation

Fan Xu, Hao Wu, Kun Wang, Nan Wang, Qingsong Wen, Xian Wu, Wei Gong, Xibin Zhao

arXiv preprint

2025

FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing

Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen

arXiv preprint

2025

VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations

Yuan Gao, Hao Wu, Qingsong Wen, Kun Wang, Xian Wu, Xiaomeng Huang

arXiv preprint

2025

CircuitProbe: Tracing Visual Temporal Evidence Flow in Video Language Models

Yiming Zhang, Zhuokai Zhao, Chengzhang Yu, Kun Wang, Zhendong Chu, Qiankun Li, Zihan Chen, Yang Liu, Zenghui Ding, Yining Sun, Qingsong Wen

arXiv preprint

2025

TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models

Tong Guan, Zijie Meng, Dianqi Li, Shiyu Wang, Chao-Han Huck Yang, Qingsong Wen, Zuozhu Liu, Sabato Marco Siniscalchi, Ming Jin, Shirui Pan

arXiv preprint

2025

Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery

Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen

arXiv preprint

2025

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

Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan

arXiv preprint

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, Qing Li, Hui Xiong, Xiaomeng Huang

arXiv preprint

2025

Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey

Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong

arXiv preprint

2025

Causal Time Series Generation via Diffusion Models

Yutong Xia, Chang Xu, Yuxuan Liang, Li Zhao, Qingsong Wen, Roger Zimmermann, Jiang Bian

arXiv preprint

2025

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models

Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, P. N. Suganthan, Xudong Jiang, Savitha Ramasamy

arXiv preprint

2025

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models

Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin

arXiv preprint

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

arXiv preprint

2025

EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations

Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, XiaoFeng Wang, Wei Dong

arXiv preprint

2025

PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting

Runyao Yu, Chenhui Gu, Jochen Stiasny, Qingsong Wen, Wasim Sarwar Dilov, Lianlian Qi, Jochen L. Cremer

arXiv preprint

2025

Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models

Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu

arXiv preprint

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

arXiv preprint

2025

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting

Ziyu Zhou, Jiaxi Hu, Qingsong Wen, James T. Kwok, Yuxuan Liang

arXiv preprint

2025

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation

Rongyao Cai, Ming Jin, Qingsong Wen, Kexin Zhang

arXiv preprint

2025

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Zhigang Deng, Qingsong Wen, Jingchao Ni

arXiv preprint

2025

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels

Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu

arXiv preprint

DOI

2025

A Survey on Post-training of Large Language Models

Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao

arXiv preprint

2025

CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series

Yutong Xia, Yingying Zhang, Yuxuan Liang, Lunting Fan, Qingsong Wen, Roger Zimmermann

arXiv preprint

2025

Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models

Miao Yu, Zhenhong Zhou, Moayad Aloqaily, Kun Wang, Biwei Huang, Stephen Wang, Yueming Jin, Qingsong Wen

arXiv preprint

2025

Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias

Hao Wu, Yuan Gao, Chang Liu, Fan Xu, Fan Zhang, Zhihong Zhu, Yuqi Li, Xian Wu, Yuxuan Liang, Li Liu, Qingsong Wen, Kun Wang, Yu Zheng, Xiaomeng Huang

arXiv preprint

2025

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash

arXiv preprint

2025

League: Leaderboard Generation on Demand

Jian Wu, Jiayu Zhang, Dongyuan Li, Linyi Yang, Aoxiao Zhong, Renhe Jiang, Qingsong Wen, Yue Zhang

arXiv preprint

2025

RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems

Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen

arXiv preprint

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

arXiv preprint

2025

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

Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang

arXiv preprint

2025

Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation

Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen

arXiv preprint

2025

Differential-Integral Neural Operator for Long-Term Turbulence Forecasting

Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Qingsong Wen, Kun Wang, Xiaomeng Huang, Xian Wu

arXiv preprint

2025

Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models

Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen

arXiv preprint

2025

OrderFusion: Encoding Orderbook for End-to-End Probabilistic Intraday Electricity Price Forecasting

Runyao Yu, Yuchen Tao, Fabian Leimgruber, Tara Esterl, Jochen Stiasny, Derek W. Bunn, Qingsong Wen, Hongye Guo, Jochen L. Cremer

arXiv preprint

2025

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries

Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang

arXiv preprint

2025

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment

Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin

arXiv preprint

2025

AutoDebias: Automated Framework for Debiasing Text-to-Image Models

Hongyi Cai, Mohammad Mahdinur Rahman, Mingkang Dong, Muxin Pu, Moqyad Alqaily, Jie Li, Xinfeng Li, Jialie Shen, Meikang Qiu, Qingsong Wen

arXiv preprint

2025

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting

Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun

arXiv preprint

DOI

2025

Advanced Long-term Earth System Forecasting

Hao Wu, Yuan Gao, Ruijian Gou, Xian Wu, Chuhan Wu, Huahui Yi, Johannes Brandstetter, Fan Xu, Kun Wang, Penghao Zhao, Hao Jia, Qi Song, Xinliang Liu, Juncai He, Shuhao Cao, Huanshuo Dong, Yanfei Xiang, Fan Zhang, Haixin Wang, Xingjian Shi, Qiufeng Wang, Shuaipeng Li, Ruobing Xie, Feng Tao, Yuxu Lu, Yu Guo, Yuntian Chen, Yuxuan Liang, Qingsong Wen, Wanli Ouyang, Deliang Chen, Niklas Boers, Xiaomeng Huang

arXiv preprint

2025

Comba: Improving Bilinear RNNs with Closed-loop Control

Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun

arXiv preprint

2025

SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters

ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni

arXiv preprint

2025

DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models

Zherui Li, Zheng Nie, Zhenhong Zhou, Yue Liu, Yitong Zhang, Yu Cheng, Qingsong Wen, Kun Wang, Yufei Guo, Jiaheng Zhang

arXiv preprint

2025

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation

Yi Wang, Haoran Luo, Lu Meng, Ziyu Jia, Xinliang Zhou, Qingsong Wen

arXiv preprint

2025

AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models

Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Lionel Z. Wang, Shun Zhang, Xingjian Du, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Gelei Deng, Haoyang Li, Yiming Li, Xiaobin Zhuang, Tianlong Chen, Qingsong Wen, Tianwei Zhang, Yang Liu, Haibo Hu, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, Wenyuan Xu, XiaoFeng Wang, Wei Dong, Xinfeng Li

arXiv preprint

2025

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla Gomes, Bart Selman, Qingsong Wen

arXiv preprint

2024

Automate Knowledge Concept Tagging on Math Questions with LLMs

Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen

arXiv preprint

2024

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever

Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen

arXiv preprint

2024

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models

Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen

arXiv preprint

2024

Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Era

Wei Chen, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Yu Zheng, Xiaofang Zhou, Yuxuan Liang

arXiv preprint

2024

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models

Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen

arXiv preprint

2024

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

Yi-Fan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

arXiv preprint

2024

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

Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu

arXiv preprint

2024

Knowledge Tagging with Large Language Model based Multi-Agent System

Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen

arXiv preprint

2024

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

Hanjun Luo, Yingbin Jin, Xinfeng Li, Xuecheng Liu, Ruizhe Chen, Tong Shang, Kun Wang, Qingsong Wen, Zuozhu Liu

arXiv preprint

2024

Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions

Richard Tong, Haoyang Li, Joleen Liang, Qingsong Wen

arXiv preprint

2024

Foundation Models for Education: Promises and Prospects

Tianlong Xu, Richard Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen

arXiv preprint

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

arXiv preprint

2024

Toward Physics-guided Time Series Embedding

Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang

arXiv preprint

2024

LogoRA: Local-Global Representation Alignment for Robust Time Series Classification

Huanyu Zhang, Yi-Fan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang

arXiv preprint

2024

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

Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen

arXiv preprint

2024

Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia

Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen

arXiv preprint

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

arXiv preprint

2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen

arXiv preprint

2024

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

arXiv preprint

2024

PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations

Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi

arXiv preprint

2024

Bringing Generative AI to Adaptive Learning in Education

Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen

arXiv preprint

2024

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Yi-Fan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin

arXiv preprint

2024

Predicting Parking 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

arXiv preprint

2024

Foundation Models for Time Series Analysis: A Tutorial and Survey

Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen

arXiv preprint

DOI

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

arXiv preprint

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

arXiv preprint

2024

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling

Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, xiaoguang Liu, Guansong Pang

arXiv preprint

2024

Task-oriented Time Series Imputation Evaluation via Generalized Representers

Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang

arXiv preprint

2024

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

arXiv preprint

2024

GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network

Weiqi Chen, Zhiqiang Zhou, Qingsong Wen, Liang Sun

arXiv preprint

2024

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

arXiv preprint

2024

Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting

Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, Qingsong Wen

arXiv preprint

DOI

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

arXiv preprint

2024

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt

YiFan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin

arXiv preprint

2024

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting

Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song

arXiv preprint

2024

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts

Dalin Qin, Yehui Li, Weiqi Chen, Zhaoyang Zhu, Qingsong Wen, Liang Sun, Pierre Pinson, Yi Wang

arXiv preprint

2024

NetSafe: Exploring the Topological Safety of Multi-agent Networks

Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang

arXiv preprint

2024

TSI-Bench: Benchmarking Time Series Imputation

Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Zina Ibrahim, Fanxing Liu, Zepu Wang, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen

arXiv preprint

2024

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

Tianlong Xu, Yi-Fan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen

arXiv preprint

2024

TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting

Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang

arXiv preprint

2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting

Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

arXiv preprint

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

arXiv preprint

2024

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

Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu

arXiv preprint

2024

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

Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun

arXiv preprint

2024

Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting

Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang

arXiv preprint

2024

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives

Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen

arXiv preprint

2024

Cluster-Wide Task Slowdown Detection in Cloud System

Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng

arXiv preprint

2024

Time Series Analysis for Education: Methods, Applications, and Future Directions

Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen

arXiv preprint

2024

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

arXiv preprint

2024

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi

arXiv preprint

DOI

2024

Debiasing Multimodal Large Language Models via Penalization of Language Priors

YiFan Zhang, Yang Shi, Weichen Yu, Qingsong Wen, Xue Wang, Wenjing Yang, Zhang Zhang, Liang Wang, Rong Jin

arXiv preprint

2024

CulturePark: Boosting Cross-cultural Understanding in Large Language Models

Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang

arXiv preprint

2024

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

Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang

arXiv preprint

2024

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

Jinguo Cheng, Chunwei Yang, Wanlin Cai, Yuxuan Liang, Qingsong Wen, Yuankai Wu

arXiv preprint

2024

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, Yi-Fan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen

arXiv preprint

2024

Large Language Models for Education: A Survey and Outlook

Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen

arXiv preprint

2024

Online GNN Evaluation Under Test-time Graph Distribution Shifts

Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan

arXiv preprint

2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting

Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang

arXiv preprint

2024

Generative Semi-supervised Graph Anomaly Detection

Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

arXiv preprint

2024

A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren

arXiv preprint

2023

Bridging AI and Energy Forecasting: An Autonomous Workflow with Customized Toolkit

Zhixian Wang, Leandro Von Krannichfeldt, Qingsong Wen, Chaoli Zhang, Liang Sun, Shirui Pan, Yi Wang

arXiv preprint

2023

RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models

Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen

arXiv preprint

DOI

2023

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

arXiv preprint

2023

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

Siqiao Xue, Fan Zhou, Yi Xu, Ming Jin, Qingsong Wen, Hongyan Hao, Qingyang Dai, Caigao Jiang, Hongyu Zhao, Shuo Xie, Jianshan He, James Zhang, Hongyuan Mei

arXiv preprint

2023

ADGym: Design Choices for Deep Anomaly Detection

Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao

arXiv preprint

2023

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection

Feiyi Chen, Zhen Qin, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen

arXiv preprint

2023

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection

Feiyi Chen, Yingying zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng

arXiv preprint

2023

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

arXiv preprint

2023

Load Data Valuation in Multi-Energy Systems: An End-to-End Approach

Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang

arXiv preprint

2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models

Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

arXiv preprint

2023

A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Guodong Long, Liang Hu, Hui He, Qingsong Wen, Hui Xiong

arXiv preprint

2023

PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series

Wenjie Du, Yiyuan Yang, Linglong Qian, Jun Wang, Qingsong Wen

arXiv preprint

2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Ming Jin, Yaxuan Kong, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong, Shirui Pan, Qingsong Wen

arXiv preprint

研究方向

机器学习/数据挖掘/信号处理时间序列人工智能教育人工智能大语言模型与智能体

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