1. Zhong, H., Huang, M., Dai, W. P., Wang, H., Anna, W. R., & Yu, Y.* Visual pinwheel centers act as geometric saliency detectors. In Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
2.Wenkui Zou, Jiazhen Liu, Zexin Wei, Chunhua Peng, Ying Zhao, Yue Ding, Jifan Shi*, and Juan Zhao*. Unveiling the mechanism of compound Ku-Shen injection in liver cancer treatment through ingredient-target network analysis, Genes, [2024], 15(10):1278.
3. Jintong Zhao, Zhongxue Gan*, Ruixi Huang, Chun Guan, Jifan Shi*, and Siyang Leng*. Detecting dynamical causality via intervened reservoir computing, Comm. Phys, [2024], 7: 232.
4.Yi Cao#, Zefeng Zhang#, Bo-Wei Qin, Weihui Sang, Honghong Li, Tinghao Wang, Feixia Tan, Yang Gan, Xumeng Zhang*, Tao Liu*, Du Xiang*, Wei Lin, Qi Liu.Physical reservoir computing using van der Waals ferroelectrics for acoustic keywords spotting, ACS Nano 18, [2024], 23265-2327.
5.Chengkun Yang#, Xiaoxi Zhang#, Shi Yan, Sizhe Yang, Baihui Wu, Fengshuo You, Yue Cui, Ni Xie, Zhiyi Wang, Li Jin*, Shuhua Xu*, Menghan Zhang*. Large-scale lexical and genetic alignment supports a hybrid model of Han Chinese demic and cultural diffusions, Nature Human Behaviour, [2024], 8, 1163–1176.
6.Sizhe Yang, Xiaoru Sun, Li Jin*, Menghan Zhang*. Inferring language dispersal patterns with velocity field estimation, Nature Communications, [2024], 15, 190.
7.Akif, A., Staib, L., Herman, P., Rothman, D. L., Yu, Y., & Hyder, F. In vivo neuropil density from anatomical MRI and machine learning, Cerebral Cortex, [2024], 34(5).
8.Zhou R, Yu Y, Li C. Revealing neural dynamical structure of C, elegans with deep learning, Iscience, [2024], 27(5).
9.Qi, X., Zhang, X., Shen, H., Su, J., Gao, X., Li, Y., ... & Yu, Y. Switching of brain networks across different cerebral perfusion states: insights from EEG dynamic microstate analyses, Cerebral Cortex, [2024], 34(2), bhae035.
10.Yukun Zou, Xiaoxiao Peng, Wei Yang*, Jingdong Zhang, and Wei Lin. Dynamics of simplicial SEIRS epidemic model: Global asymptotic stability and neural Lyapunov functions, Journal of Mathematical Biology, [2024], vol. 89, Art. no. 12.
11.Yongzheng Sun, Guanghui Wen, Haifeng Dai, Yu Feng, Sandro Azaele, Wei Lin*, and Fubao Zhou*. Quantifying the resilience of coal energy supply in China towards carbon neutrality, RESEARCH, [2024].
12.Shijie Zhou*, Xiaoxiao Peng, Wei Lin, and Xuerong Mao. Adaptive control and synchronization of complex dynamical systems with various types of delays and stochastic disturbances, SIAM Journal on Applied Mathematics, [2024].
13.Hongtai Jing, Zhengtao Gao, Sheng Xu, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye*, Wei Lin*, and Siqi Sun*. Accurate prediction of antibody function and structure using bio-inspired antibody language model, Briefings in Bioinformatics, [2024], vol. 25, no.4, Art. no. bbae245.
14.Xiaoxiao Peng and Shijie Zhou*. Finite-time stochastic control for complex dynamical systems: The estimate for control time and energy consumption, Systems & Control Letters, [2024], 184(2):105711.
15.Xu Huang, Zhiqiang Wang*, and Shijie Zhou. The dichotomy property in stabilizability of $2 \times 2 $ linear hyperbolic systems, ESAIM: Control, Optimisation and Calculus of Variations, [2024], 30:24.
16.Xiaoxiao Peng, Shijie Zhou, Wei Lin*, and Xuerong Mao. Invariance principles for G-brownian-motion-driven stochastic differential equations and their applications to G-stochastic control, SIAM Journal on Control and Optimization, [2024], 62(3):1569-1589.
17.Jingdong Zhang, Luan Yang, Qunxi Zhu* and Wei Lin*. FESSNC: Fast exponentially stable and safe neural controller, 41st International Conference on Machine Learning (ICML 2024), [2024]
18.Xin Li, Jingdong Zhang, Qunxi Zhu*, Chengli Zhao*, Xue Zhang, Xiaojun Duan, and Wei Lin. From Fourier to neural ODEs: Flow matching for modeling complex systems, 41st International Conference on Machine Learning (ICML 2024), [2024]
19.Qunxi Zhu* and Wei Lin. Switched flow matching: Eliminating singularities via switching ODEs, 41st International Conference on Machine Learning (ICML 2024), [2024]
20.Sizhe Yang, Xiaoru Sun, Li Jin*, Menghan Zhang*. Inferring language dispersal patterns with velocity field estimation, Nature Communications, [2024], 15, Article number: 190
21.Xinyu Cheng, Dong Li, and Wen Yang*. Localization for general Helmholtz, Journal of Differential Equations, [2024]
22.Xinyu Cheng, and Jiao Xu*. On the global well-posedness and scattering of the 3D Klein–Gordon–Zakharov system, Calculus of Variations and Partial Differential Equations, [2024]
23.Yunzhang Li*, Xiaolu Tan, Shanjian Tang. Discrete-time Approximation of Stochastic Optimal Control with Partial Observation, SIAM Journal on Control and Optimization, [2024], 62(1): 326-350.
24.Xin Li, Qunxi Zhu*, Chengli Zhao*, Xiaojun Duan, Bolin Zhao, Xue Zhang, Huanfei Ma, Jie Sun, and Wei Lin*. Higher-order Granger reservoir computing: Simultaneously achieving scalable complex structures inference and accurate dynamics prediction, Nature Communications, [2024], vol.15, Art. no.2506. (Editorially selected as a Featured Article both in NC's focus contents: AI & machine learning & Applied physics and mathematics)
25.Jingdong Zhang, Qunxi Zhu*, and Wei Lin*. Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation laws, Physical Review Research, Letter, [2024]
26.Xiaoxiao Peng, Shijie Zhou, Wei Lin*, and Xuerong Mao. Invariance Principles for G-Brownian-Motion-Driven Stochastic Differential Equations and Their Applications to G-Stochastic Control, SIAM Journal on Control and Optimization, [2024], vol.62, no.3, pp.1569-1589.
27.Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, and Jie Sun*. Emerging opportunities and challenges for the future of reservoir computing, Nature Communications, [2024], vol.15, Art. no.2056. (Editorially selected as a Featured Article both in NC's focus contents: AI & machine learning. & Applied physics and mathematics)
28.Shijie Zhou, Wei Lin*, Xuerong Mao, and Jianhong Wu. Generalized invariance principles for stochastic dynamical systems and their applications, IEEE Transactions on Automatic Control, Regular Paper, published in Early Access-May, [2024], vol.69, no.1, pp. 85-99.
