Factors controlling generation and propagation of pacemaker potentials in network models of mammalian SA node. - Raimond L. Winslow; Dongming Cai; Ying-Cheng Lai (SC, 1994)

A model of selective processing of auditory-nerve inputs by stellate cells of the antero-ventral cochlear nucleus. - Ying-Cheng Lai; Raimond L. Winslow; Murray B. Sachs (J. Comput. Neurosci., 1994)

The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus. - Ying-Cheng Lai; Raimond L. Winslow; Murray B. Sachs (Neural Comput., 1994)

Bifurcation to High-Dimensional Chaos. - Mary Ann F. Harrison; Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2000)

Encoding Digital Information using Transient Chaos. - Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2000)

Obstruction to Deterministic Modeling of Chaotic Systems with an Invariant Subspace. - Ying-Cheng Lai; Celso Grebogi (Int. J. Bifurc. Chaos, 2000)

Experimental Observation of Lag Synchronization in Coupled Chaotic Systems. - Saeed Taherion; Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2000)

Feedback Synchronization using pole-Placement Control. - Roberto Tonelli; Ying-Cheng Lai; Celso Grebogi (Int. J. Bifurc. Chaos, 2000)

Super Persistent Chaotic Transients in Physical Systems: Effect of noise on phase Synchronization of Coupled Chaotic oscillators. - Victor Andrade; Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2001)

The Natural Measure of Nonattracting Chaotic Sets and its Representation by Unstable Periodic orbits. - Mukeshwar Dhamala; Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2002)

Signatures of small-world and scale-free properties in large computer programs - Alessandro P. S. de Moura; Ying-Cheng Lai; Adilson E. Motter (CoRR, 2003)

Recent Developments in Chaotic Time Series Analysis. - Ying-Cheng Lai; Nong Ye (Int. J. Bifurc. Chaos, 2003)

Probing Changes in Neural Interaction During Adaptation. - Liqiang Zhu; Ying-Cheng Lai; Frank Hoppensteadt; Jiping He (Neural Comput., 2003)

Suppression of Jamming in Excitable Systems by Aperiodic Stochastic Resonance. - Ying-Cheng Lai; Zonghua Liu; Arje Nachman; Liqiang Zhu (Int. J. Bifurc. Chaos, 2004)

Enhancement of Detectability of Noisy Signals by Stochastic Resonance in Arrays. - Zonghua Liu; Ying-Cheng Lai; Arje Nachman (Int. J. Bifurc. Chaos, 2004)

Web server QoS models: applying scheduling rules from production planning. - Nong Ye; Esma Senturk Gel; Xueping Li; Toni Farley; Ying-Cheng Lai (Comput. Oper. Res., 2005)

Enhancing router QoS through job scheduling with weighted shortest processing time-adjusted. - Nong Ye; Zhibin Yang; Ying-Cheng Lai; Toni Farley (Comput. Oper. Res., 2005)

QoS Model of a Router with Feedback Control. - Zhibin Yang; Nong Ye; Ying-Cheng Lai (Qual. Reliab. Eng. Int., 2006)

Attack Induced Cascading Breakdown in Complex Networks. - Liang Zhao 001; Kwangho Park; Ying-Cheng Lai; Thiago Henrique Cupertino (J. Braz. Comput. Soc., 2007)

Inducing Chaos in Electronic Circuits by Resonant Perturbations. - Anil Kandangath; Satish Krishnamoorthy; Ying-Cheng Lai; John A. Gaudet (IEEE Trans. Circuits Syst. I Regul. Pap., 2007)

Continuum Coupled-Map Approach to Pattern Formation in oscillating Granular Layers: Robustness and Limitation. - Mary Ann F. Harrison; Ying-Cheng Lai (Int. J. Bifurc. Chaos, 2008)

Noise-Induced Chaos: a Consequence of Long Deterministic Transients. - Tamás Tél; Ying-Cheng Lai; Márton Gruiz (Int. J. Bifurc. Chaos, 2008)

Inducing Chaos in MOSFET-Based Electronic Circuits. - Srinivasan Gopal; Ying-Cheng Lai (Circuits Syst. Signal Process., 2009)

Impact of link deletions on public cooperation in scale-free networks - Luo-Luo Jiang; Matjaz Perc; Wen-Xu Wang; Ying-Cheng Lai; Bing-Hong Wang (CoRR, 2011)

Uncovering Evolutionary Ages of Nodes in Complex Networks - Guimei Zhu; Huijie Yang; Rui Yang; Jie Ren 005; Baowen Li; Ying-Cheng Lai (CoRR, 2011)

Transportation dynamics on networks of mobile agents - Han-Xin Yang; Wen-Xu Wang; Yan-Bo Xie; Ying-Cheng Lai; Bing-Hong Wang (CoRR, 2011)

Greedy routing on networks of mobile agents - Han-Xin Yang; Wen-Xu Wang; Ying-Cheng Lai; Bing-Hong Wang (CoRR, 2011)

Feature grouping and selection over an undirected graph. - Sen Yang 004; Lei Yuan 001; Ying-Cheng Lai; Xiaotong Shen; Peter Wonka; Jieping Ye (KDD, 2012)

Controlling complex networks: How much energy is needed? - Gang Yan; Jie Ren 005; Ying-Cheng Lai; Choy Heng Lai; Baowen Li (CoRR, 2012)

Probing Complex Networks from measured Time Series. - Liang Huang 005; Ying-Cheng Lai; Mary Ann F. Harrison (Int. J. Bifurc. Chaos, 2012)

The Emergence and Evolution of Cooperation on Complex Networks. - Han-Xin Yang; Wen-Xu Wang; Ying-Cheng Lai; Celso Grebogi (Int. J. Bifurc. Chaos, 2012)

Reverse Engineering of Complex Dynamical Systems Based on Compressive Sensing. - Ying-Cheng Lai (Chaotic Signal Processing, 2013)

Exact Controllability of Complex Networks. - Zhengzhong Yuan; Chen Zhao; Zengru Di; Wen-Xu Wang; Ying-Cheng Lai (CoRR, 2013)

Emergence of scaling in human-interest dynamics. - Zhi-Dan Zhao; Zimo Yang; Zi-Ke Zhang; Tao Zhou 001; Zi-Gang Huang; Ying-Cheng Lai (CoRR, 2013)

Reconstructing propagation networks with natural diversity and identifying hidden sources. - Zhesi Shen; Wen-Xu Wang; Ying Fan 001; Zengru Di; Ying-Cheng Lai (CoRR, 2014)

Asymmetrically interacting spreading dynamics on complex layered networks. - Wei Wang 070; Ming Tang 004; Hui Yang; Younghae Do; Ying-Cheng Lai; GyuWon Lee (CoRR, 2014)

Identifying Chaotic FitzHugh-Nagumo Neurons Using Compressive Sensing. - Ri-Qi Su; Ying-Cheng Lai; Xiao Wang 035 (Entropy, 2014)

The paradox of controlling complex networks: control inputs versus energy requirement. - Yu-Zhong Chen; Lezhi Wang; Wen-Xu Wang; Ying-Cheng Lai (CoRR, 2015)

Reconstructing complex networks with binary-state dynamics. - Jingwen Li; Wen-Xu Wang; Ying-Cheng Lai; Celso Grebogi (CoRR, 2015)

Control and controllability of nonlinear dynamical networks: a geometrical approach. - Lezhi Wang; Ri-Qi Su; Zi-Gang Huang; Xiao Wang; Wen-Xu Wang; Celso Grebogi; Ying-Cheng Lai (CoRR, 2015)

Dynamics of social contagions with memory of non-redundant information. - Wei Wang 070; Ming Tang 004; Hai-Feng Zhang 003; Ying-Cheng Lai (CoRR, 2015)

Traffic-driven epidemic spreading in correlated networks. - Han-Xin Yang; Ming Tang; Ying-Cheng Lai (CoRR, 2015)

Dynamics of ferrofluidic flow in the Taylor-Couette system with a small aspect ratio. - Sebastian Altmeyer; Younghae Do; Ying-Cheng Lai (CoRR, 2016)

Spatiotemporal patterns and predictability of cyberattacks. - Yu-Zhong Chen; Zi-Gang Huang; Shouhuai Xu; Ying-Cheng Lai (CoRR, 2016)

Detecting and characterizing high frequency oscillations in epilepsy - A case study of big data analysis. - Liang Huang; Xuan Ni; William L. Ditto; Mark L. Spano; Paul R. Carney; Ying-Cheng Lai (CoRR, 2016)

Explosive spreading on complex networks: the role of synergy. - Quan-Hui Liu; Wei Wang 070; Ming Tang 004; Tao Zhou 001; Ying-Cheng Lai (CoRR, 2016)

Optimal Localization of Diffusion Sources in Complex Networks. - Zhao-Long Hu; Xiao Han; Ying-Cheng Lai; Wen-Xu Wang (CoRR, 2017)

Synergistic interactions promote behavior spreading and alter phase transition on multiplex networks. - Quan-Hui Liu; Wei Wang 070; Shi-Min Cai; Ming Tang 004; Ying-Cheng Lai (CoRR, 2018)

Data based reconstruction of complex cyberphysical networks. - Chuang Ma; Han-Shuang Chen; Xiang Li 010; Ying-Cheng Lai; Hai-Feng Zhang 003 (CoRR, 2018)

Knowledge Consensus in complex networks: the role of learning. - Zhongyan Fan; Ying-Cheng Lai; Wallace Kit-Sang Tang (CoRR, 2018)

Close and ordinary social contacts: how important are they in promoting large-scale contagion? - Peng-Bi Cui; Wei Wang 070; Shi-Min Cai; Tao Zhou 001; Ying-Cheng Lai (CoRR, 2018)

Multi-Carrier Differential Chaos Shift Keying System With Subcarriers Allocation for Noise Reduction. - Hua Yang 003; Guo-Ping Jiang; Wallace K. S. Tang; Guanrong Chen; Ying-Cheng Lai (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

A model for meme popularity growth in social networking systems based on biological principle and human interest dynamics. - Lezhi Wang; Zhi-Dan Zhao; Jun-Jie Jiang; Bing-Hui Guo; Xiao Wang; Zi-Gang Huang; Ying-Cheng Lai (CoRR, 2019)

Irrelevance of linear controllability to nonlinear dynamical networks. - Jun-Jie Jiang; Ying-Cheng Lai (CoRR, 2019)

Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius. - Jun-Jie Jiang; Ying-Cheng Lai (CoRR, 2019)

Asymmetry in interdependence makes a multilayer system more robust against cascading failures. - Run-Ran Liu; Chun-Xiao Jia; Ying-Cheng Lai (CoRR, 2019)

Machine learning dynamical phase transitions in complex networks. - Qi Ni; Ming Tang 004; Ying Liu 040; Ying-Cheng Lai (CoRR, 2019)

Impact of inter-layer hopping on epidemic spreading in a multilayer network. - Dayu Wu; Ming Tang 004; Zonghua Liu; Ying-Cheng Lai (Commun. Nonlinear Sci. Numer. Simul., 2020)

Long-term prediction of chaotic systems with recurrent neural networks. - Huawei Fan; Jun-Jie Jiang; Chun Zhang; Xingang Wang; Ying-Cheng Lai (CoRR, 2020)

Scaling law of transient lifetime of chimera states under dimension-augmenting perturbations. - Ling-Wei Kong; Ying-Cheng Lai (CoRR, 2020)

Machine learning prediction of critical transition and system collapse. - Ling-Wei Kong; Huawei Fan; Celso Grebogi; Ying-Cheng Lai (CoRR, 2020)

Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer. - Chao Kong; Yu-Xiang Yao; Zhi-Tong Bing; Bing-Hui Guo; Liang Huang 005; Zi-Gang Huang; Ying-Cheng Lai (PLoS Comput. Biol., 2020)

Data Based Reconstruction of Duplex Networks. - Chuang Ma; Han-Shuang Chen; Xiang Li 010; Ying-Cheng Lai; Hai-Feng Zhang 003 (SIAM J. Appl. Dyn. Syst., 2020)

Adaptable Hamiltonian neural networks. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Tomography of time-dependent quantum spin networks with machine learning. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Continuity scaling: A rigorous framework for detecting and quantifying causality accurately. - Xiong Ying; Si-Yang Leng; Huanfei Ma 001; Qing Nie; Ying-Cheng Lai; Wei Lin 003 (CoRR, 2022)

Predicting extreme events from data using deep machine learning: when and where. - Jun-Jie Jiang; Zi-Gang Huang; Celso Grebogi; Ying-Cheng Lai (CoRR, 2022)

Digital twins of nonlinear dynamical systems. - Ling-Wei Kong; Yang Weng; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2022)

Emergence of a stochastic resonance in machine learning. - Zheng-Meng Zhai; Ling-Wei Kong; Ying-Cheng Lai (CoRR, 2022)

Generating extreme quantum scattering in graphene with machine learning. - Chen-Di Han; Ying-Cheng Lai (CoRR, 2022)

A method for finding the background potential of quantum devices from scanning gate microscopy data using machine learning. - Carlo R. da Cunha; Nobuyuki P. Aoki; David K. Ferry; Ying-Cheng Lai (Mach. Learn. Sci. Technol., 2022)

Stochastically Adaptive Control and Synchronization: From Globally One-Sided Lipschitzian to Only Locally Lipschitzian Systems. - Shijie Zhou 004; Ying-Cheng Lai; Wei Lin 003 (SIAM J. Appl. Dyn. Syst., 2022)

Continuous Variational Quantum Algorithms for Time Series. - Muhao Guo; Yang Weng; Lili Ye; Ying-Cheng Lai (IJCNN, 2023)

Digital twins of nonlinear dynamical systems: A perspective. - Ying-Cheng Lai (CoRR, 2023)

Model-free tracking control of complex dynamical trajectories with machine learning. - Zheng-Meng Zhai; Mohammadamin Moradi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Machine-learning parameter tracking with partial state observation. - Zheng-Meng Zhai; Mohammadamin Moradi; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation. - Mohammadamin Moradi; Zheng-Meng Zhai; Aaron Nielsen; Ying-Cheng Lai (CoRR, 2024)

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation. - Shirin Panahi; Ling-Wei Kong; Mohammadamin Moradi; Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Data-driven model discovery with Kolmogorov-Arnold networks. - Mohammadamin Moradi; Shirin Panahi; Erik M. Bollt; Ying-Cheng Lai (CoRR, 2024)

Kolmogorov-Arnold Network Autoencoders. - Mohammadamin Moradi; Shirin Panahi; Erik M. Bollt; Ying-Cheng Lai (CoRR, 2024)

Learning to learn ecosystems from limited data - a meta-learning approach. - Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Reconstructing dynamics from sparse observations with no training on target system. - Zheng-Meng Zhai; Jun-Yin Huang; Benjamin D. Stern; Ying-Cheng Lai (CoRR, 2024)

Inflammation dynamics of atopic dermatitis: Phase transition and scaling law of remission time. - Yoseb Kang; Jaewoo Hwang; Yong Hyun Jang; Ying-Cheng Lai; Younghae Do (Comput. Biol. Medicine, 2025)

Unsupervised learning for anticipating critical transitions. - Shirin Panahi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2025)