Papers

■ Minhao Zou, Yutong Wang, Xiaofeng Meng, Zhongxue Gan, Chun Guan, and Siyang Leng*, Multi-head graph contrastive learning with hop augmentation for node classification, Pattern Recognition, 2026, 170: 112055.

■ Dongyan Sui, Haitian Zheng, Siyang Leng, and Stefan Vlaski, Decentralized Hidden Markov Modeling with Equal Exit Probabilities, The 33rd European Signal Processing Conference (EUSIPCO 2025).

■ Shirui Bian#, Zezhou Wang#, Siyang Leng, Wei Lin, and Jifan Shi*, Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition, Advanced Science, 2025.

■ 陈奕乔, 史际帆*, 冷思阳, 基于K-ACE自编码器的高维条件互信息计算, 复旦学报（自然科学版）, 2025.

■ Ren Cao, Jintong Zhao, Chun Guan, Huanfei Ma*, Jifan Shi*, and Siyang Leng*, Reservoir cross mapping as a nonlinear framework for detecting dynamical causality, Cell Reports Physical Science, 2025, 6(7): 102683.

■ Junheng Zhang, Yutong Wang, Ren Cao, Minhao Zou*, Siyang Leng, and Chun Guan*, Enhancing Node Classification on Graphs via Stepwise Diffusion Contrastive Learning, The 2025 International Joint Conference on Neural Networks (IJCNN 2025).

■ Yutong Wang, Xiaofeng Meng, Minhao Zou, and Siyang Leng*, Multi-hop Self-augmented Graph Contrastive Learning for Node Classification, The 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025).

■ Minhao Zou, Zhongxue Gan*, Yutong Wang, Junheng Zhang, Chun Guan*, and Siyang Leng*, Topology-preserving and structure-aware (hyper)graph contrastive learning for node classification, Applied Intelligence, 2025, 55: 616.

■ Yutong Wang, Junheng Zhang, Ren Cao, Minhao Zou, Chun Guan, and Siyang Leng*, Robust graph contrastive learning with multi-hop views for node classification, Applied Soft Computing, 2025, 171: 112783.

■ Dongyan Sui, Weichen Cao, Stefan Vlaski, Chun Guan*, and Siyang Leng*, Non-Bayesian Social Learning with Multiview Observations, The 63rd IEEE Conference on Decision and Control (IEEE CDC 2024).

■ Zeqi Ren, Jianbo Yu*, Jian Huang, Xiaofeng Yang, Siyang Leng, Yuping Liu, and Shifu Yan, Physically-guided temporal diffusion transformer for long-term time series forecasting, Knowledge-Based Systems, 2024, 304: 112508.

■ Jintong Zhao, Zhongxue Gan*, Ruixi Huang, Chun Guan, Jifan Shi*, and Siyang Leng*, Detecting dynamical causality via intervened reservoir computing, Communications Physics, 2024, 7: 232.

■ Kaiwen Li, Liufei Yang, Chun Guan*, and Siyang Leng, Reinforcement learning-based pinning control for synchronization suppression in complex networks, Heliyon, 2024, 10(14): e34065.

■ Suzhen Guo, Chun Guan, and Siyang Leng*, Enhancing Time Series Predictability via Structure-Aware Reservoir Computing, Advanced Intelligent Systems, 2024, 6(11): 2400163.

■ Minhao Zou, Zhongxue Gan, Yutong Wang, Junheng Zhang, Dongyan Sui, Chun Guan, and Siyang Leng*, UniG-Encoder: A universal feature encoder for graph and hypergraph node classification, Pattern Recognition, 2024, 147: 110115.

■ Ji Xia, Junyu Chu, Siyang Leng, and Huanfei Ma*, Reservoir computing decoupling memory-nonlinearity trade-off, Chaos, 2023, 33(11): 113120.

■ Qianyi Chen, Wenyuan Shi, Dongyan Sui*, and Siyang Leng, Distributed Consensus Algorithms in Sensor Networks with Higher-Order Topology, Entropy, 2023, 25(8): 1200.

■ Dongyan Sui, Chun Guan, Zhongxue Gan*, Wei Lin, and Siyang Leng*, Tuning Convergence Rate via Non-Bayesian Social Learning: A Trade-Off between Internal Belief and External Information, The 62nd IEEE Conference on Decision and Control (IEEE CDC 2023).

■ Zhihao Zuo, Ruizhi Cao, Zhongxue Gan, Jiawen Hou, Chun Guan, and Siyang Leng*, Feedback coupling induced synchronization of neural networks, Neurocomputing, 2023, 549: 126457.

■ Xinyuan Qiu, Liufei Yang, Chun Guan, and Siyang Leng*, Closed-loop control of higher-order complex networks: Finite-time and pinning strategies, Chaos, Solitons and Fractals, 2023, 173: 113677.

■ Liufei Yang, Wei Lin, and Siyang Leng*, Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction, Chaos, 2023, 33(6): 063101.

■ Xing-Yue Duan, Xiong Ying, Si-Yang Leng, Jürgen Kurths, Wei Lin*, and Huan-Fei Ma*, Embedding theory of reservoir computing and reducing reservoir network using time delays, Physical Review Research, 2023, 5(2): L022041.

■ Ruizhi Cao, Chun Guan*, Zhongxue Gan*, and Siyang Leng, Reviving the Dynamics of Attacked Reservoir Computers, Entropy, 2023, 25(3): 515.

■ Minhao Zou, Zhongxue Gan*, Ruizhi Cao, Chun Guan*, and Siyang Leng*, Similarity-navigated graph neural networks for node classification, Information Sciences, 2023, 633: 41-69.

■ Kangkang Chen, Zhongxue Gan*, Siyang Leng, and Chun Guan*, Deep Reinforcement Learning with Parametric Episodic Memory, The 2022 International Joint Conference on Neural Networks (IJCNN 2022).

■ Xiong Ying#, Si-Yang Leng#, Huan-Fei Ma, Qing Nie, Ying-Cheng Lai, and Wei Lin*, Continuity scaling: A rigorous framework for detecting and quantifying causality accurately, Research, 2022, 2022: 9870149. (《Research》 Best Paper Award 2022)

■ Huanfei Ma*, Siyang Leng, and Luonan Chen*, Detecting High-Dimensional Causal Networks using Randomly Conditioned Granger Causality, CSIAM Transactions on Applied Mathematics, 2021, 2(4): 680-696.

■ Minhao Zou, Ziye Hu, Yuxiang Guan, Zhongxue Gan*, Chun Guan*, and Siyang Leng*, Feature Adaption with Predicted Boxes for Oriented Object Detection in Aerial Images, The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021).

■ Siyang Leng, Huanfei Ma, Jürgen Kurths, Ying-Cheng Lai, Wei Lin*, Kazuyuki Aihara*, and Luonan Chen*, Partial cross mapping eliminates indirect causal influences, Nature Communications, 2020, 11: 2632.

■ Siyang Leng*, and Kazuyuki Aihara, Common stochastic inputs induce neuronal transient synchronization with partial reset, Neural Networks, 2020, 128: 13-21.

■ Siyang Leng, Ziwei Xu, and Huanfei Ma*, Reconstructing directional causal networks with random forest: Causality meeting machine learning, Chaos, 2019, 29(9): 093130.

■ Xiaoping Liu#, Xiao Chang#, Siyang Leng, Hui Tang, Kazuyuki Aihara*, and Luonan Chen*, Detection for disease tipping points by landscape dynamic network biomarkers, National Science Review, 2019, 6(4): 775-785.

■ Huanfei Ma, Siyang Leng, Kazuyuki Aihara*, Wei Lin*, and Luonan Chen*, Randomly distributed embedding making short-term high-dimensional data predictable, Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(43): E9994-E10002. (ICCM Best Paper Award 2019)

■ Huanfei Ma, Siyang Leng, and Luonan Chen*, Data-based prediction and causality inference of nonlinear dynamics, Science China Mathematics, 2018, 61: 403-420.

■ Yong-Zheng Sun#, Si-Yang Leng#, Ying-Cheng Lai, Celso Grebogi, and Wei Lin*, Closed-Loop Control of Complex Networks: A Trade-Off between Time and Energy, Physical Review Letters, 2017, 119(19): 198301.

■ Huanfei Ma, Siyang Leng, Chenyang Tao, Xiong Ying, Jürgen Kurths, Ying-Cheng Lai, and Wei Lin*, Detection of time delays and directional interactions based on time series from complex dynamical systems, Physical Review E, 2017, 96(1): 012221.

■ Siyang Leng, Wei Lin*, and Jürgen Kurths, Basin stability in delayed dynamics, Scientific Reports, 2016, 6: 21449.

(* Corresponding Author, # Co-First Author)

Patents

■ 冷思阳, 李凯文, 关春, 一种基于PPO模型的混合牵制控制策略改进的DBS系统, CN118675704A, 2024.

■ 普笛, 冷思阳, 关春, 一种基于高阶网络储备池计算系统的时间序列预测方法, CN118396057A, 2024.

■ 侯嘉文, 林伟, 冷思阳, 孙毅, 杨伟, 基于动力学理论的复杂系统变点检测方法, CN116050269A, 2023.