Peisong Niu

According to our database, Peisong Niu authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Reconstructing damaged fNIRS signals with a generative deep learning model.

Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, Fei Wan, Peisong Niu, Haijing Niu

Artif. Intell. Rev., February, 2025

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model.

Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training.

Jin Wang, Bingqing Peng, Wenwei Wang, Yuanjie Hu, Yuejiang Chen, Peisong Niu, Liang Sun

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Attention as Robust Representation for Time Series Forecasting.

Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin

CoRR, 2024

2023

Energy 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, Xinyue Gu, Jin Wang, Qiming Chen, Linxiao Yang, Qingsong Wen, Liang Sun

AI Mag., December, 2023

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors.

Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

CoRR, 2023

Power Time Series Forecasting by Pretrained LM.

Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

CoRR, 2023

One Fits All: Power General Time Series Analysis by Pretrained LM.

Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Indoor Lighting Estimation Using an Event Camera.

Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021