Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. - Weiqi Chen; Wenwei Wang; Bingqing Peng; Qingsong Wen; Tian Zhou 004; Liang Sun 001 (KDD, 2022)

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)

WeatherGNN: Exploiting Complicated Relationships in Numerical Weather Prediction Bias Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (CoRR, 2023)

DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling. - Pengwei Liu; Wenwei Wang; Bingqing Peng; Binqing Wu; Liang Sun 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)

WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. - Binqing Wu; Weiqi Chen; Wengwei Wang; Bingqing Peng; Liang Sun 001; Ling Chen 001 (IJCAI, 2024)

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. - Ziqing Ma; Wenwei Wang; Tian Zhou 004; Chao Chen; Bingqing Peng; Liang Sun 001; Rong Jin 001 (KDD, 2024)