| Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning. M Fornasier, H Huang, L Pareschi, P Sünnen The Journal of Machine Learning Research 22 (237), 1-55, 2021 | 59 | 2021 |
| Consensus-based optimization on hypersurfaces: Well-posedness and mean-field limit M Fornasier, H Huang, L Pareschi, P Sünnen Mathematical Models and Methods in Applied Sciences 30 (14), 2725-2751, 2020 | 59* | 2020 |
| Well-posedness for the Keller-Segel equation with fractional Laplacian and the theory of propagation of chaos H Huang, JG Liu Kinetic and Related Models 9 (4), 715-748, 2016 | 34 | 2016 |
| A measure theoretical approach to the mean-field maximum principle for training NeurODEs B Bonnet, C Cipriani, M Fornasier, H Huang Nonlinear Analysis 227, 113161, 2023 | 27 | 2023 |
| On the mean-field limit for the Vlasov–Poisson–Fokker–Planck system H Huang, JG Liu, P Pickl Journal of Statistical Physics 181, 1915-1965, 2020 | 25 | 2020 |
| Error estimate of a random particle blob method for the Keller-Segel equation H Huang, JG Liu Mathematics of Computation 86 (308), 2719-2744, 2017 | 25 | 2017 |
| On the global convergence of particle swarm optimization methods H Huang, J Qiu, K Riedl Applied Mathematics & Optimization 88 (2), 30, 2023 | 24 | 2023 |
| On the mean‐field limit for the consensus‐based optimization H Huang, J Qiu Mathematical Methods in the Applied Sciences 45 (12), 7814-7831, 2022 | 23 | 2022 |
| Anisotropic diffusion in consensus-based optimization on the sphere M Fornasier, H Huang, L Pareschi, P Sünnen SIAM Journal on Optimization 32 (3), 1984-2012, 2022 | 21 | 2022 |
| Propagation of chaos for the Keller–Segel equation over bounded domains RC Fetecau, H Huang, W Sun Journal of Differential Equations 266 (4), 2142-2174, 2019 | 20 | 2019 |
| Zero-inertia limit: from particle swarm optimization to consensus-based optimization C Cipriani, H Huang, J Qiu SIAM Journal on Mathematical Analysis 54 (3), 3091-3121, 2022 | 19 | 2022 |
| Learning interacting particle systems: Diffusion parameter estimation for aggregation equations H Huang, JG Liu, J Lu Mathematical Models and Methods in Applied Sciences 29 (01), 1-29, 2019 | 17 | 2019 |
| Mean-field particle swarm optimization S Grassi, H Huang, L Pareschi, J Qiu Modeling and Simulation for Collective Dynamics 40, 127-193, 2023 | 14 | 2023 |
| The microscopic derivation and well-posedness of the stochastic Keller–Segel equation H Huang, J Qiu Journal of Nonlinear Science 31 (1), 6, 2021 | 12 | 2021 |
| Discrete-in-time random particle blob method for the Keller–Segel equation and convergence analysis H Huang, JG Liu Communications in Mathematical Sciences 15 (7), 1821-1842, 2017 | 8 | 2017 |
| Consensus-based optimization for saddle point problems H Huang, J Qiu, K Riedl SIAM Journal on Control and Optimization 62 (2), 1093-1121, 2024 | 7 | 2024 |
| A note on the mean-field limit for the particle swarm optimization H Huang Applied Mathematics Letters 117, 107133, 2021 | 7 | 2021 |
| Zero-diffusion limit for aggregation equations over bounded domains RC Fetecau, H Huang, D Messenger, W Sun Discrete and Continuous Dynamical Systems 42 (10), 4905-4936, 2022 | 5* | 2022 |
| Quantitative estimate of the overdamped limit for the Vlasov–Fokker–Planck systems H Huang Partial Differential Equations in Applied Mathematics 4, 100186, 2021 | 4 | 2021 |
| Error estimates of the aggregation-diffusion splitting algorithms for the Keller-Segel equations. H Huang, JG Liu Discrete and Continuous Dynamical Systems-Series B 21 (10), 2016 | 2 | 2016 |
Jinniao QiuAssociate Professor at the Department of Mathematics & Statistics, University of CalgaryZweryfikowany adres z ucalgary.ca
