Time-Series Forecasting With Shape Attention*. - Feihu Huang 002; Peiyu Yi; Jince Wang; Mengshi Li; Jian Peng 002 (SMC, 2022)

A dynamical spatial-temporal graph neural network for traffic demand prediction. - Feihu Huang 002; Peiyu Yi; Jince Wang; Mengshi Li; Jian Peng 002; Xi Xiong (Inf. Sci., 2022)

MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting. - Huiqiang Wang; Jian Peng 002; Feihu Huang 002; Jince Wang; Junhui Chen; Yifei Xiao (ICLR, 2023)

State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting. - Jince Wang; Zibo He; Tianyu Geng; Feihu Huang 002; Pu Gong; Peiyu Yi; Jian Peng 002 (Sensors, 2023)

Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit. - Peiyu Yi; Feihu Huang 002; Jince Wang; Jian Peng 002 (Appl. Intell., 2023)

SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks. - Feihu Huang 002; Jince Wang; Peiyu Yi; Jian Peng 002; Xi Xiong; Yun Liu 002 (Inf. Sci., 2024)

Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. - Peiyu Yi; Zhifeng Bao; Feihu Huang 002; Jince Wang; Jian Peng 002; Linghao Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Information enhancement graph representation learning. - Jince Wang; Jian Peng 002; Feihu Huang 002; Sirui Liao; Pengxiang Zhan; Peiyu Yi (Pattern Recognit. Lett., 2025)

Power Stability Management for Renewable Energy Resources using Big Data Analysis. - Ming Shi; Yueping Deng; Jince Wang; Jicheng Wang; Lin Hao (Scalable Comput. Pract. Exp., 2025)

Intention-aware neural networks with session disentanglement for noise filtering in session-based recommendation. - Feihu Huang 002; Haoyu Xu; Ning Yang; Jince Wang; Peiyu Yi; Yuan Jiang (Appl. Intell., 2025)