Qingsong Wen

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 136

Top Venues

Publications

Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen
Bringing Generative AI to Adaptive Learning in Education. CoRR (2024)
Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR (2024)
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR (2024)
Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR (2024)
Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
Generative Semi-supervised Graph Anomaly Detection. CoRR (2024)
Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR (2024)
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
Cluster-Wide Task Slowdown Detection in Cloud System. KDD (2024)
Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen
Foundation Models for Education: Promises and Prospects. IEEE Intell. Syst. 39 (3) (2024)
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP (2024)
Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR (2024)
Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR (2024)
Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR (2024)
Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR (2024)
Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR (2024)
Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction. CoRR (2024)
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR (2024)
Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. KDD (2024)
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR (2024)
Richard Jiarui Tong, Haoyang Li, Joleen Liang, Qingsong Wen
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions. CoRR (2024)
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR (2024)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD (2024)
Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD (2024)
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD (2024)
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
Large Language Models for Education: A Survey and Outlook. CoRR (2024)
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW (2024)
Nan Lu, Shu Liu, Qingsong Wen, Qiming Chen, Liang Sun, Yi Wang
Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. IEEE Trans. Smart Grid 15 (4) (2024)
Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR (2024)
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE (2024)
Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun
RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP (2024)
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR (2024)
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR (2024)
Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR (2024)
Yi-Fan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR (2024)
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
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR (2024)
Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR (2024)
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD (2024)
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR (2024)
Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR (2024)
Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM (2024)
Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
TSI-Bench: Benchmarking Time Series Imputation. CoRR (2024)
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
AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR (2024)
Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Pathformer: Multi-scale transformers with Adaptive Pathways for Time Series Forecasting. CoRR (2024)
Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW (2024)
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
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR (2024)
Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. CoRR (2024)
Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR (2024)
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR (2024)
Yi-Fan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Debiasing Multimodal Large Language Models. CoRR (2024)
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR (2024)
Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR (2024)
Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR (2024)
Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen
Foundation Models for Education: Promises and Prospects. CoRR (2024)
Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR (2024)
Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR (2024)
Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR (2024)
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI (2023)
Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR (2023)
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
Transformers in Time Series: A Survey. IJCAI (2023)
Yi Wang, Chien-Fei Chen, Peng-Yong Kong, Husheng Li, Qingsong Wen
A Cyber-Physical-Social Perspective on Future Smart Distribution Systems. Proc. IEEE 111 (7) (2023)
Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqi Chen, Liang Sun, Yi Wang
Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. IEEE Trans. Smart Grid 14 (6) (2023)
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS (2023)
Chenxi Wang, Yangze Zhou, Qingsong Wen, Yi Wang
Improving Load Forecasting Performance via Sample Reweighting. IEEE Trans. Smart Grid 14 (4) (2023)
Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR (2023)
Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang
Benchmarks and Custom Package for Electrical Load Forecasting. CoRR (2023)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD (2023)
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR (2023)
Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR (2023)
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
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR (2023)
Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS (2023)
Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. CoRR (2023)
Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. CoRR (2023)
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
ADGym: Design Choices for Deep Anomaly Detection. NeurIPS (2023)
Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR (2023)
Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP (2023)
Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR (2023)
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR (2023)
Qingsong Wen, Linxiao Yang, Liang Sun
Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP (2023)
Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR (2023)
Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR (2023)
Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR (2023)
Qingsong Wen, Linxiao Yang, Liang Sun
Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR (2023)
Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. AAAI (2023)
Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. KDD (2023)
Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
When Urban Region Profiling Meets Large Language Models. CoRR (2023)
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR (2023)
Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Xinyue Gu, Jin Wang, Qiming Chen, Linxiao Yang, Qingsong Wen, Liang Sun
Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 44 (4) (2023)
Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. CoRR (2023)
Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events. CoRR (2023)
Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16 (12) (2023)
Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
ADGym: Design Choices for Deep Anomaly Detection. CoRR (2023)
Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc
A Global Modeling Framework for Load Forecasting in Distribution Networks. IEEE Trans. Smart Grid 14 (6) (2023)
Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17 (4) (2023)
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI (2023)
Yi-Fan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR (2023)
Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CoRR (2022)
Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR (2022)
Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc
A Global Modeling Approach for Load Forecasting in Distribution Networks. CoRR (2022)
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML (2022)
Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin
TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qingsong Wen