Papers

■ 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

■ 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.

● 2022 《Research》 Best Paper Award

■ 2022 National Key R&D Program of China (Grant No. 2022YFC2704604, Member)

■ 2022 Excellent Young Scientists Fund Program (Overseas) of NSFC

■ 2022 NSFC (Grant No. 12101133, PI)

■ 2021 National Key R&D Program of China (Grant No. 2021ZD0201301, Key Member)

● 2021 Fudan University "Zhong Yang-Style" Research Team

■ 2021 STCSM (Grant No. 21YF1402300, PI)

● 2021 Shanghai Municipal Government "Thousand Talents Program"

■ 2021 Shanghai Municipal Education Commission (Grant No. 20CG01, PI)

■ 2020 STCSM (Grant No. 2021SHZDZX0103, Key Member)

● 2019 International Consortium of Chinese Mathematicians Best Paper Award