Peisong Niu - RankMe

15 papers A* 3A 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing inter-brain synchrony measurement: A Comparative hyperscanning study of diffuse optical tomography and functional near-infrared spectroscopy. NeuroImage Shuo Guan, Yuhang Li, Yingbo Geng, Dongyun Li, Qiong Xu, Peisong Niu, Dalin Yang, Adam T. Eggebrecht, Yingchun Zhang, Rihui Li
2026	J	`jnl`	Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction. CoRR Peisong Niu, Haifan Zhang, Yang Zhao, Tian Zhou, Ziqing Ma, Wenqiang Shen, Junping Zhao, Huiling Yuan, Liang Sun
2026	J	`jnl`	Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting. CoRR Ziqing Ma, Kai Ying, Xinyue Gu, Tian Zhou, Tianyu Zhu, Haifan Zhang, Peisong Niu, Zheng Wang, Cong Bai, Liang Sun
2026	J	`jnl`	Target Concept Tuning Improves Extreme Weather Forecasting. CoRR Shijie Ren, Xinyue Gu, Ziheng Peng, Haifan Zhang, Peisong Niu, Bo Wu, Xiting Wang, Liang Sun, Jirong Wen
2025	J	`jnl`	Reconstructing damaged fNIRS signals with a generative deep learning model. Artif. Intell. Rev. Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, Fei Wan, Peisong Niu, Haijing Niu
2025	A	`conf`	SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training. CIKM Jin Wang, Bingqing Peng, Wenwei Wang, Yuanjie Hu, Yuejiang Chen, Peisong Niu, Liang Sun
2025	—	`conf`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. KDD (2) Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun
2025	J	`jnl`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. CoRR Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun
2024	J	`jnl`	Attention as Robust Representation for Time Series Forecasting. CoRR Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 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
2023	A*	`conf`	One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	Power Time Series Forecasting by Pretrained LM. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	A*	`conf`	eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. AAAI Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun
2021	A*	`conf`	Indoor Lighting Estimation Using an Event Camera. CVPR Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan