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科研论文

  1. Jinling Yan#, Shao-Wu Zhang*, Jifan Shi#, Chihao Zhang, and Luonan Chen*, IC2: Interventional dynamical causality under latent confounders, J. R. Soc. Interface, [2026], 23(240): 20251289.

  2. Jinling Yan#, Shao-Wu Zhang*, Chihao Zhang#, Weitian Huang, Jifan Shi, and Luonan Chen*, Dynamical causality under latent confounders for biological network reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, [2026], 48(6).

  3. H. A. Wang†, W. P. Dai†*, J. Ma, J. Zhang, J. Liu, M. Jiang, M. Xiao, Y. Wang, D. Han*, D. Li*, and Y. Yu*, Adaptive Coding Emerges in Stabilized Supralinear Networks Trained with Local Plasticity, Forty-third International Conference on Machine Learning, [2026], 306: 125651-125671.

  4. Yu Meng, Kalel L. Rossi, Everton S. Medeiros, and Ulrike Feudel, How can dispersal-induced asymmetry and asynchrony support the coexistence of species?, Chaos: An Interdisciplinary Journal of Nonlinear Science, [2026], 36(6): 063115.

  5. Yixiang Dai, Yunzhang Li*, and Jing Zhang, Local discontinuous Galerkin method for nonlinear BSPDEs of Neumann boundary conditions with deep backward dynamic programming time-marching, Communications in Computational Physics, [2026], 39(4): 1299-1331.

  6. Mourad Kharbach*, Niko Rintala, Mohammed Alaoui Mansouri, Huiwen Yu*, and Kirsti Cura, Spectroscopic and machine learning strategies for automated classification and quantification of textile blends: Enabling material recovery and circular economy in the textile sector, Journal of Cleaner Production, [2026], 577: 149359.

  7. Mourad Kharbach, Mohammed Alaoui Mansouri, Mohammed Taabouz, Tao Zhang, and Huiwen Yu*, Current advances in LC-MS/MS and GC-MS/MS coupled with chemometrics for integrated food analysis and quality control, Food Chemistry, [2026], 147854.

  8. Anas En-Najy, Mourad Kharbach*, Huiwen Yu*, Yvan Vander Heyden, and Abdelaziz Bouklouze*, Honey authentication and adulteration assessments using spectroscopic techniques in tandem with chemometric tools, Journal of Food Composition and Analysis, [2026], 109225.

  9. Jiawei Zhang, Haoyu Albert Wang, Jialun Ma, Wei P Dai, and Yuguo Yu#, Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed, The Fortieth Annual Conference on Neural Information Processing Systems, [2026].

  10. Bao H, Hu Z, Lee SH, Chao TH, Luo YJ, Chen ZK, Li YD, Zhang L, Sullivan HA, Yu Y, Wickersham IR, Aberrantly integrated adult-born immature neurons disrupt brain-wide networks during spatial memory processing, Molecular Psychiatry, [2026], 31(4): 2106–2118.

  11. Bingru Xu, Hao Shen, and Yuguo Yu, The write-cost bottleneck: energy constraints on continual learning in brains and machines, Cognitive Neurodynamics, [2026], 20(1): 139.

  12. Zhiwen Ren, Ruizhe Zheng, Chendrayan Dineshkumar, Yansong Li, Yang Du, Yuguo Yu#, and Dingding Han#, Learning to rotate and diffuse: unified fractional operators for nonstationary graph dynamics, Machine Learning: Science and Technology, [2026], 7(4): 045068.

  13. Chendrayan Dineshkumar and Yuguo Yu#, Critical resetting and a maximum-resistance regime in long-memory fractional stochastic systems, Chaos, Solitons & Fractals, [2026], 210: 118568.

  14. Liyuan Wang, Chengqiang Tang, Zhengqi Han, Haixin Zhong, Kailin Zhang, Ziyi Xie, Hang Guan, Yuguo Yu#, Hongbo Yu#, Huisheng Peng#, A Radial Modulus‐Gradient Fiber for Chronic Recording and Decoding in Deep Brain, Advanced Materials, [2026], 38(30): e19697.

  15. Chong Li, Zhongyu Chen, Jianfeng Feng, Xiangyang Xue, and Yuguo Yu#, Temporal-filter enhanced prediction of whole-brain neural activity using the physiology-aligned latent variable model, Neurocomputing, [2026], 671: 132705.

  16. Mingzhe Yang* and Weijie Zhao, Complex systems science in the AI era: A pivotal paradigm for scientific research, National Science Review, NSR Forum [A meeting with Lei Guo (Moderator), Wei Lin, Jiang Zhang, Yu Liu, and Tingting Gao], [2026], in press.

  17. Wei Lin* and Jianshe Yu, Toward intellidynamics: A path from HH2 to modern AI, Discrete and Continuous Dynamical Systems - Series I: Intelligence (DCDS-Intelligence), Perspective: Editorial, [2026], 1(1): P260101.

  18. Rui Xiao, Guanghui Wen*, Jinliang Han, Wei Lin*, Philip K. Maini*, and Yongzheng Sun*, Complexity and delay shape oscillatory transitions in complex networks, National Science Review, [2026], in press.

  19. Liufei Yang, Siyang Leng, Jifan Shi*, and Wei Lin*, Deciphering interventional dynamical causality via Kolmogorov-Arnold Networks, CHAOS, [2026], 36(9): 093148.

  20. He Ma, Qiyang Ge, Yu Meng, Celso Grebogi, and Wei Lin*, Dynamics creation through neural dynamical transfer learning, Physical Review Research, [2026], 8(3): 033337.

  21. Yutong Cai, Zhaoyue Zhong, Zefeng Zhang, Bo-Wei Qin*, and Wei Lin*, Modulatability of complex oscillators, Nature Computational Science, [2026], in press.

  22. Shijie Zhou*, Wei Lin, and Xuerong Mao, Stabilization of highly nonlinear stochastic systems with adaptive sampling intervals, SIAM Journal on Control and Optimization, [2026], in press.

  23. Wei Gou*, Jianmeng Cui, Yongli Song, Wei Lin*, and Zhen Jin*, Scrutinizing critical dynamics of reaction-diffusion models on complex networks, CHAOS, Eidtor's Pick, [2026], 36(7): 073140.

  24. Jiaxuan Zhang, Qunxi Zhu*, and Wei Lin, A general framework for neural delay differential equations with various delay types, CHAOS, [2026], 36(5): 053108.

  25. Xiaoyu Zhang, Pengcheng Yang, Jiawei Feng, Kang Wen, Gang Yan, Qiang Luo, Wei Lin, and Xin Lu*, Network structure governs Drosophila brain functionality, Fundamental Research, [2026], 6(3): 1859-1868.

  26. Yongzheng Sun*, Huimin Wang, Xiaoting Liu, Guanghui Wen*, Wei Lin*, and Philip K. Maini*, Networked collective dynamics in animal ecology and cell biology, Physics of Life Review, [2026], 57: 4-60.

  27. Haosong Zhang, Shenxi Wu, Zhiyuan Che, Xi Chen, Wei Lin, and Yichi Zhang, A Unified Merge Calculus for Learning-Rate Scaling on Neural Computation Graphs, The 40th Annual Conference on Neural Information Processing Systems, [2026].

  28. Haosong Zhang, Shenxi Wu, Xingjian Ma, Shirui Bian, Yichi Zhang, Xi Chen, and Wei Lin, Hyperparameter Transfer Laws for Non-Recurrent Multi-Path Neural Networks, The 43rd International Conference on Machine Learning, [2026].

  29. Wanfeng Lu, He Ma, Wei Lin*, and Qunxi Zhu*, Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems, The 43rd International Conference on Machine Learning, [2026], Spotlight.

  30. Bolin Zhao, Xiaoyu Zhang, Yuting Dong, Xin Lu*, Wei Lin*, and Qunxi Zhu*, Delay Flow Matching, The 14th International Conference on Learning Representations, [2026].

  31. Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao and Yong Li, WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network, Proceedings of the AAAI Conference on Artificial Intelligence, [2026], 40(1): 641-649.  

  32. Yongzheng Sun*, Huimin Wang, Xiaoting Liu, Guanghui Wen*, Wei Lin* and Philip K. Maini*, Networked collective dynamics in animal ecology and cell biology, Physics of Life Review, [2026], 57: 4-60.

  33. Yecheng Tan, Zezhou Wang, Ai Wang, Yan Yan, Wei Lin*, Qing Nie* and Jifan Shi*, Integrative cross-sample alignment and spatially differential gene analysis for spatial transcriptomics, Nature Communications, [2026], 17: 5577.

  34. Jifan Shi*, Yang Li, Juan Zhao, Siyang Leng, Rui Bao, Kazuyuki Aihara*, Luonan Chen*, and Wei Lin*, Deciphering interventional dynamical causality from non-intervention complex systems, The Innovation, [2026], online version.

  35. Jiaxuan Zhang, Qunxi Zhu*, and Wei Lin*, Extended neural delay differential equations, Discrete and Continuous Dynamical Systems - Series I: Intelligence, [2026], 1(1): A260103.

  36. Xuzhe Qian, Bo-Wei Qin*, Huaiping Zhu, and Wei Lin*, Opinion polarization and its connected disagreement: Modeling and modulation, Physical Review E, [2026], 113(1): L012301.
中文 ｜ English
科研论文

  1. Jinling Yan#, Shao-Wu Zhang*, Jifan Shi#, Chihao Zhang, and Luonan Chen*, IC2: Interventional dynamical causality under latent confounders, J. R. Soc. Interface, [2026], 23(240): 20251289.

  2. Jinling Yan#, Shao-Wu Zhang*, Chihao Zhang#, Weitian Huang, Jifan Shi, and Luonan Chen*, Dynamical causality under latent confounders for biological network reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, [2026], 48(6).

  3. H. A. Wang†, W. P. Dai†*, J. Ma, J. Zhang, J. Liu, M. Jiang, M. Xiao, Y. Wang, D. Han*, D. Li*, and Y. Yu*, Adaptive Coding Emerges in Stabilized Supralinear Networks Trained with Local Plasticity, Forty-third International Conference on Machine Learning, [2026], 306: 125651-125671.

  4. Yu Meng, Kalel L. Rossi, Everton S. Medeiros, and Ulrike Feudel, How can dispersal-induced asymmetry and asynchrony support the coexistence of species?, Chaos: An Interdisciplinary Journal of Nonlinear Science, [2026], 36(6): 063115.

  5. Yixiang Dai, Yunzhang Li*, and Jing Zhang, Local discontinuous Galerkin method for nonlinear BSPDEs of Neumann boundary conditions with deep backward dynamic programming time-marching, Communications in Computational Physics, [2026], 39(4): 1299-1331.

  6. Mourad Kharbach*, Niko Rintala, Mohammed Alaoui Mansouri, Huiwen Yu*, and Kirsti Cura, Spectroscopic and machine learning strategies for automated classification and quantification of textile blends: Enabling material recovery and circular economy in the textile sector, Journal of Cleaner Production, [2026], 577: 149359.

  7. Mourad Kharbach, Mohammed Alaoui Mansouri, Mohammed Taabouz, Tao Zhang, and Huiwen Yu*, Current advances in LC-MS/MS and GC-MS/MS coupled with chemometrics for integrated food analysis and quality control, Food Chemistry, [2026], 147854.

  8. Anas En-Najy, Mourad Kharbach*, Huiwen Yu*, Yvan Vander Heyden, and Abdelaziz Bouklouze*, Honey authentication and adulteration assessments using spectroscopic techniques in tandem with chemometric tools, Journal of Food Composition and Analysis, [2026], 109225.

  9. Jiawei Zhang, Haoyu Albert Wang, Jialun Ma, Wei P Dai, and Yuguo Yu#, Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed, The Fortieth Annual Conference on Neural Information Processing Systems, [2026].

  10. Bao H, Hu Z, Lee SH, Chao TH, Luo YJ, Chen ZK, Li YD, Zhang L, Sullivan HA, Yu Y, Wickersham IR, Aberrantly integrated adult-born immature neurons disrupt brain-wide networks during spatial memory processing, Molecular Psychiatry, [2026], 31(4): 2106–2118.

  11. Bingru Xu, Hao Shen, and Yuguo Yu, The write-cost bottleneck: energy constraints on continual learning in brains and machines, Cognitive Neurodynamics, [2026], 20(1): 139.

  12. Zhiwen Ren, Ruizhe Zheng, Chendrayan Dineshkumar, Yansong Li, Yang Du, Yuguo Yu#, and Dingding Han#, Learning to rotate and diffuse: unified fractional operators for nonstationary graph dynamics, Machine Learning: Science and Technology, [2026], 7(4): 045068.

  13. Chendrayan Dineshkumar and Yuguo Yu#, Critical resetting and a maximum-resistance regime in long-memory fractional stochastic systems, Chaos, Solitons & Fractals, [2026], 210: 118568.

  14. Liyuan Wang, Chengqiang Tang, Zhengqi Han, Haixin Zhong, Kailin Zhang, Ziyi Xie, Hang Guan, Yuguo Yu#, Hongbo Yu#, Huisheng Peng#, A Radial Modulus‐Gradient Fiber for Chronic Recording and Decoding in Deep Brain, Advanced Materials, [2026], 38(30): e19697.

  15. Chong Li, Zhongyu Chen, Jianfeng Feng, Xiangyang Xue, and Yuguo Yu#, Temporal-filter enhanced prediction of whole-brain neural activity using the physiology-aligned latent variable model, Neurocomputing, [2026], 671: 132705.

  16. Mingzhe Yang* and Weijie Zhao, Complex systems science in the AI era: A pivotal paradigm for scientific research, National Science Review, NSR Forum [A meeting with Lei Guo (Moderator), Wei Lin, Jiang Zhang, Yu Liu, and Tingting Gao], [2026], in press.

  17. Wei Lin* and Jianshe Yu, Toward intellidynamics: A path from HH2 to modern AI, Discrete and Continuous Dynamical Systems - Series I: Intelligence (DCDS-Intelligence), Perspective: Editorial, [2026], 1(1): P260101.

  18. Rui Xiao, Guanghui Wen*, Jinliang Han, Wei Lin*, Philip K. Maini*, and Yongzheng Sun*, Complexity and delay shape oscillatory transitions in complex networks, National Science Review, [2026], in press.

  19. Liufei Yang, Siyang Leng, Jifan Shi*, and Wei Lin*, Deciphering interventional dynamical causality via Kolmogorov-Arnold Networks, CHAOS, [2026], 36(9): 093148.

  20. He Ma, Qiyang Ge, Yu Meng, Celso Grebogi, and Wei Lin*, Dynamics creation through neural dynamical transfer learning, Physical Review Research, [2026], 8(3): 033337.

  21. Yutong Cai, Zhaoyue Zhong, Zefeng Zhang, Bo-Wei Qin*, and Wei Lin*, Modulatability of complex oscillators, Nature Computational Science, [2026], in press.

  22. Shijie Zhou*, Wei Lin, and Xuerong Mao, Stabilization of highly nonlinear stochastic systems with adaptive sampling intervals, SIAM Journal on Control and Optimization, [2026], in press.

  23. Wei Gou*, Jianmeng Cui, Yongli Song, Wei Lin*, and Zhen Jin*, Scrutinizing critical dynamics of reaction-diffusion models on complex networks, CHAOS, Eidtor's Pick, [2026], 36(7): 073140.

  24. Jiaxuan Zhang, Qunxi Zhu*, and Wei Lin, A general framework for neural delay differential equations with various delay types, CHAOS, [2026], 36(5): 053108.

  25. Xiaoyu Zhang, Pengcheng Yang, Jiawei Feng, Kang Wen, Gang Yan, Qiang Luo, Wei Lin, and Xin Lu*, Network structure governs Drosophila brain functionality, Fundamental Research, [2026], 6(3): 1859-1868.

  26. Yongzheng Sun*, Huimin Wang, Xiaoting Liu, Guanghui Wen*, Wei Lin*, and Philip K. Maini*, Networked collective dynamics in animal ecology and cell biology, Physics of Life Review, [2026], 57: 4-60.

  27. Haosong Zhang, Shenxi Wu, Zhiyuan Che, Xi Chen, Wei Lin, and Yichi Zhang, A Unified Merge Calculus for Learning-Rate Scaling on Neural Computation Graphs, The 40th Annual Conference on Neural Information Processing Systems, [2026].

  28. Haosong Zhang, Shenxi Wu, Xingjian Ma, Shirui Bian, Yichi Zhang, Xi Chen, and Wei Lin, Hyperparameter Transfer Laws for Non-Recurrent Multi-Path Neural Networks, The 43rd International Conference on Machine Learning, [2026].

  29. Wanfeng Lu, He Ma, Wei Lin*, and Qunxi Zhu*, Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems, The 43rd International Conference on Machine Learning, [2026], Spotlight.

  30. Bolin Zhao, Xiaoyu Zhang, Yuting Dong, Xin Lu*, Wei Lin*, and Qunxi Zhu*, Delay Flow Matching, The 14th International Conference on Learning Representations, [2026].

  31. Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao and Yong Li, WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network, Proceedings of the AAAI Conference on Artificial Intelligence, [2026], 40(1): 641-649.  

  32. Yongzheng Sun*, Huimin Wang, Xiaoting Liu, Guanghui Wen*, Wei Lin* and Philip K. Maini*, Networked collective dynamics in animal ecology and cell biology, Physics of Life Review, [2026], 57: 4-60.

  33. Yecheng Tan, Zezhou Wang, Ai Wang, Yan Yan, Wei Lin*, Qing Nie* and Jifan Shi*, Integrative cross-sample alignment and spatially differential gene analysis for spatial transcriptomics, Nature Communications, [2026], 17: 5577.

  34. Jifan Shi*, Yang Li, Juan Zhao, Siyang Leng, Rui Bao, Kazuyuki Aihara*, Luonan Chen*, and Wei Lin*, Deciphering interventional dynamical causality from non-intervention complex systems, The Innovation, [2026], online version.

  35. Jiaxuan Zhang, Qunxi Zhu*, and Wei Lin*, Extended neural delay differential equations, Discrete and Continuous Dynamical Systems - Series I: Intelligence, [2026], 1(1): A260103.

  36. Xuzhe Qian, Bo-Wei Qin*, Huaiping Zhu, and Wei Lin*, Opinion polarization and its connected disagreement: Modeling and modulation, Physical Review E, [2026], 113(1): L012301.

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