Time Series Prediction by Multi-task GPR with Spatiotemporal Information Transformation. - Peng Tao 009; Xiaohu Hao; Jie Cheng; Luonan Chen (CoRR, 2022)

Brain-inspired chaotic backpropagation for MLP. - Peng Tao 009; Jie Cheng; Luonan Chen (Neural Networks, 2022)

Spatiotemporal Transformer Neural Network for Time-Series Forecasting. - Yujie You; Le Zhang 004; Peng Tao 009; Suran Liu; Luonan Chen (Entropy, 2022)

Predicting time series by data-driven spatiotemporal information transformation. - Peng Tao 009; Xiaohu Hao; Jie Cheng; Luonan Chen (Inf. Sci., 2023)

Single-cell causal network inferred by cross-mapping entropy. - Lin Li 069; Rui Xia; Wei Chen; Qi Zhao; Peng Tao 009; Luonan Chen (Briefings Bioinform., 2023)

Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization. - Peng Tao 009; Kazuyuki Aihara; Luonan Chen (CoRR, 2024)

Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics. - Zijian Wang; Peng Tao 009; Luonan Chen (CoRR, 2025)