Qingsong Wen
Orcid: 0000-0003-4516-2524
According to our database1,
Qingsong Wen
authored at least 93 papers
between 2007 and 2024.
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Bibliography
2024
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.
CoRR, 2024
CoRR, 2024
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions.
CoRR, 2024
CoRR, 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR, 2024
CoRR, 2024
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.
CoRR, 2024
CoRR, 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies.
CoRR, 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.
CoRR, 2024
2023
Proc. VLDB Endow., December, 2023
Energy forecasting with robust, flexible, and explainable machine learning algorithms.
AI Mag., December, 2023
Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings.
IEEE Trans. Smart Grid, November, 2023
IEEE Trans. Smart Grid, November, 2023
IEEE Trans. Smart Grid, July, 2023
Proc. IEEE, July, 2023
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series.
IEEE Trans. Knowl. Data Eng., June, 2023
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.
CoRR, 2023
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.
CoRR, 2023
CoRR, 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection.
CoRR, 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
CoRR, 2023
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition.
CoRR, 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection.
CoRR, 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023
CoRR, 2023
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer.
CoRR, 2023
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?
CoRR, 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events.
Proceedings of the IEEE International Conference on Acoustics, 2023
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks.
CoRR, 2020
CoRR, 2020
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems, 2017
2016
IEEE Trans. Wirel. Commun., 2016
VLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2014
Proceedings of the 2014 IEEE Military Communications Conference, 2014
Proceedings of the IEEE Global Communications Conference, 2014
2013
Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
Transmitter-side timing adjustment to mitigate interference between multiple nodes for OFDMA mesh network.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2010
Wirel. Pers. Commun., 2010
J. Networks, 2010
2008
Proceedings of the 68th IEEE Vehicular Technology Conference, 2008
Proceedings of the Fourth Advanced International Conference on Telecommunications, 2008
2007
IEEE Signal Process. Lett., 2007
Proceedings of the 66th IEEE Vehicular Technology Conference, 2007
Proceedings of the Third Advanced International Conference on Telecommunications (AICT 2007), 2007