Common stochastic inputs induce neuronal transient synchronization with partial reset. - Siyang Leng; Kazuyuki Aihara (Neural Networks, 2020)

Feature Adaption with Predicted Boxes for Oriented Object Detection in Aerial Images. - Minhao Zou; Ziye Hu; Yuxiang Guan; Zhongxue Gan; Chun Guan; Siyang Leng (PRICAI (3), 2021)

Deep Reinforcement Learning with Parametric Episodic Memory. - Kangkang Chen; Zhongxue Gan; Siyang Leng; Chun Guan (IJCNN, 2022)

Tuning Convergence Rate Via Non-Bayesian Social Learning: A Trade-Off Between Internal Belief and External Information. - Dongyan Sui; Chun Guan; Zhongxue Gan; Wei Lin; Siyang Leng (CDC, 2023)

Reviving the Dynamics of Attacked Reservoir Computers. - Ruizhi Cao; Chun Guan; Zhongxue Gan; Siyang Leng (Entropy, 2023)

Similarity-navigated graph neural networks for node classification. - Minhao Zou; Zhongxue Gan; Ruizhi Cao; Chun Guan; Siyang Leng (Inf. Sci., 2023)

Distributed Consensus Algorithms in Sensor Networks with Higher-Order Topology. - Qianyi Chen; Wenyuan Shi; Dongyan Sui; Siyang Leng (Entropy, 2023)

Feedback coupling induced synchronization of neural networks. - Zhihao Zuo; Ruizhi Cao; Zhongxue Gan; Jiawen Hou; Chun Guan; Siyang Leng (Neurocomputing, 2023)

Non-Bayesian Social Learning with Multiview Observations. - Dongyan Sui; Weichen Cao 001; Stefan Vlaski; Chun Guan; Siyang Leng (CDC, 2024)

Deciphering interventional dynamical causality from non-intervention systems. - Jifan Shi; Yang Li 008; Juan Zhao; Siyang Leng; Kazuyuki Aihara; Luonan Chen; Wei Lin (CoRR, 2024)

Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition. - Shirui Bian; Zezhou Wang; Siyang Leng; Wei Lin; Jifan Shi (CoRR, 2024)

Physically-guided temporal diffusion transformer for long-term time series forecasting. - Zeqi Ren; Jianbo Yu; Jian Huang; Xiaofeng Yang; Siyang Leng; Yuping Liu; Shifu Yan (Knowl. Based Syst., 2024)

UniG-Encoder: A universal feature encoder for graph and hypergraph node classification. - Minhao Zou; Zhongxue Gan; Yutong Wang; Junheng Zhang; Dongyan Sui; Chun Guan; Siyang Leng (Pattern Recognit., 2024)

Enhancing Time Series Predictability via Structure-Aware Reservoir Computing. - Suzhen Guo; Chun Guan; Siyang Leng (Adv. Intell. Syst., 2024)

Multi-hop Self-augmented Graph Contrastive Learning for Node Classification. - Yutong Wang; Xiaofeng Meng 006; Minhao Zou; Siyang Leng (ICASSP, 2025)

Robust graph contrastive learning with multi-hop views for node classification. - Yutong Wang; Junheng Zhang; Ren Cao; Minhao Zou; Chun Guan; Siyang Leng (Appl. Soft Comput., 2025)

Decentralized Hidden Markov Modeling with Equal Exit Probabilities. - Dongyan Sui; Haitian Zheng; Siyang Leng; Stefan Vlaski (CoRR, 2025)

Hidden Markov Model Filtering with Equal Exit Probabilities. - Dongyan Sui; Haotian Pu; Siyang Leng; Stefan Vlaski (CoRR, 2025)

Topology-preserving and structure-aware (hyper)graph contrastive learning for node classification. - Minhao Zou; Zhongxue Gan; Yutong Wang; Junheng Zhang; Chun Guan; Siyang Leng (Appl. Intell., 2025)

Multi-head graph contrastive learning with hop augmentation for node classification. - Minhao Zou; Yutong Wang; Xiaofeng Meng 006; Zhongxue Gan; Chun Guan; Siyang Leng (Pattern Recognit., 2026)