Indoor Lighting Estimation Using an Event Camera. - Zehao Chen; Qian Zheng; Peisong Niu; Huajin Tang; Gang Pan 001 (CVPR, 2021)

eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. - Zhaoyang Zhu; Weiqi Chen; Rui Xia; Tian Zhou 004; Peisong Niu; Bingqing Peng; Wenwei Wang; Hengbo Liu; Ziqing Ma; Qingsong Wen; Liang Sun 001 (AAAI, 2023)

One Fits All: Power General Time Series Analysis by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (NeurIPS, 2023)

Power Time Series Forecasting by Pretrained LM. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. - Tian Zhou 004; Peisong Niu; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2023)

Energy forecasting with robust, flexible, and explainable machine learning algorithms. - Zhaoyang Zhu; Weiqi Chen; Rui Xia; Tian Zhou 004; Peisong Niu; Bingqing Peng; Wenwei Wang; Hengbo Liu; Ziqing Ma; Xinyue Gu; Jin Wang; Qiming Chen; et al. (AI Mag., 2023)

Attention as Robust Representation for Time Series Forecasting. - Peisong Niu; Tian Zhou 004; Xue Wang 010; Liang Sun 001; Rong Jin 001 (CoRR, 2024)

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., 2025)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. - Peisong Niu; Ziqing Ma; Tian Zhou 004; Weiqi Chen; Lefei Shen; Rong Jin 001; Liang Sun 001 (CoRR, 2025)