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个人简介

冷思阳,青年研究员,博士生导师,“卓博计划”导师,本科与博士毕业于复旦大学数学科学学院,师从林伟教授,曾任日本东京大学生产技术研究所特任研究员。从事非线性动力系统、复杂网络、人工智能、计算系统生物学等领域的应用数学理论、模型、算法等交叉研究,成果发表在Nature Communications, PRL, PNAS, Research, Neural Networks等国际重要学术期刊和IEEE CDC等国际顶级学术会议上,获得2019年世界华人数学家联盟最佳论文奖、2022年《Research》优秀论文奖等,主持或参与多个国家级和省部级科研项目的研究工作,2021年入选国家海外高层次青年人才计划。担任腾飞书院导师、《复旦学报(自然科学版)》编委,讲授《智能科学的数学基础》、《应用数学方法》等本科生和研究生课程。 教育工作经历 2020.08 - 现在,复旦大学,工程与应用技术研究院,青年研究员,博士生导师 2016.11 - 2020.03,日本东京大学,生产技术研究所,特任研究员,合作导师:合原一幸教授 2011.09 - 2016.06,复旦大学,数学科学学院,应用数学专业,博士,导师:林伟教授 2014.09 - 2015.09,德国波茨坦气候影响研究所,国家公派联合培养博士生,导师:Jürgen Kurths教授 2006.09 - 2011.07,复旦大学,数学科学学院,信息与计算科学专业,学士 获奖情况 2021年,国家级青年人才计划 2021年,复旦大学“钟扬式”科研团队 2021年,上海市人才计划 2019年,世界华人数学家联盟最佳论文奖

研究领域

从事非线性动力系统、复杂网络、人工智能、计算系统生物学等领域的应用数学理论、模型、算法等交叉研究,成果发表在Nature Communications, PRL, PNAS, Research, Neural Networks等国际重要学术期刊上。近年来的研究主题包括: 储备池计算的数学理论及新型机器学习框架设计 高阶复杂网络的动力学分析及其在人工智能中的应用 动力学因果关系的理论、算法与应用 群体行为的生成演化、动态仿真与调控策略 医学多模态数据的智能挖掘与分析建模

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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)

学术兼职

担任Frontiers in Network Physiology期刊的Review Editor 担任Biomolecules, Chaos, International Journal of Bifurcation and Chaos, Electronic Research Archive, Chaos, Solitons and Fractals, npj Systems Biology and Applications等期刊的审稿人

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