A novel model for chaotic complex time series with large of data forecasting. - Peng-Cheng Li; Fei Zhang; Lu Gao; Yong-Qian Liu; Xiao-Ying Ren (Knowl. Based Syst., 2021)

An Improved Cuckoo Search Algorithm Using Elite Opposition-Based Learning and Golden Sine Operator. - Peng-Cheng Li; Xuan-Yu Zhang; Azlan Mohd Zain; Kai-Qing Zhou (ICAIS (1), 2022)

An Improved Chaos Sparrow Search Optimization Algorithm Using Adaptive Weight Modification and Hybrid Strategies. - Xuan-Yu Zhang; Kai-Qing Zhou; Peng-Cheng Li; Yin-Hong Xiang; Azlan Mohd Zain; Arezoo Sarkheyli-Hägele (IEEE Access, 2022)

Sample Topology Exploration for Label Distribution Learning. - Yan-Wen Xiong; Heng-Ru Zhang; Fan Min 001; Peng-Cheng Li (DSAA, 2023)

Exploiting asymmetric influence between instances for label enhancement. - Heng-Ru Zhang; Peng-Cheng Li; Yuanyuan Xu 003; Fan Min 001 (Inf. Sci., 2024)

Accurate forecasting on few-shot learning with a novel inference foundation model. - Peng-Cheng Li; Yan-Wu Wang; Jiang-Wen Xiao (Inf. Fusion, 2025)

Improved 3-D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting. - Jiang-Wen Xiao; Xue-Ying Cui; Xiao-Kang Liu 001; Hongliang Fang; Peng-Cheng Li (IEEE Trans. Smart Grid, 2025)