| Decentralized federated averaging T Sun, D Li, B Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4289-4301, 2022 | 143 | 2022 |
| Deep learning for real-time crime forecasting and its ternarization B Wang, P Yin, AL Bertozzi, PJ Brantingham, SJ Osher, J Xin Chinese Annals of Mathematics, Series B 40 (6), 949-966, 2019 | 105 | 2019 |
| Resnets ensemble via the feynman-kac formalism to improve natural and robust accuracies B Wang, Z Shi, S Osher Advances in Neural Information Processing Systems 32, 2019 | 78* | 2019 |
| Graph-based deep modeling and real time forecasting of sparse spatio-temporal data B Wang, X Luo, F Zhang, B Yuan, AL Bertozzi, PJ Brantingham arXiv preprint arXiv:1804.00684, 2018 | 76 | 2018 |
| Deep learning for real time crime forecasting B Wang, D Zhang, D Zhang, PJ Brantingham, AL Bertozzi arXiv preprint arXiv:1707.03340, 2017 | 71 | 2017 |
| GRAND++: Graph neural diffusion with a source term M Thorpe, TM Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang International Conference on Learning Representations, 2021 | 59 | 2021 |
| Object-oriented persistent homology B Wang, GW Wei Journal of computational physics 305, 276-299, 2016 | 56 | 2016 |
| Laplacian smoothing gradient descent S Osher, B Wang, P Yin, X Luo, F Barekat, M Pham, A Lin Research in the Mathematical Sciences 9 (3), 55, 2022 | 54 | 2022 |
| Heavy ball neural ordinary differential equations H Xia, V Suliafu, H Ji, T Nguyen, A Bertozzi, S Osher, B Wang Advances in Neural Information Processing Systems 34, 18646-18659, 2021 | 52 | 2021 |
| Deep neural nets with interpolating function as output activation B Wang, X Luo, Z Li, W Zhu, Z Shi, S Osher Advances in neural information processing systems 31, 2018 | 49* | 2018 |
| Scheduled restart momentum for accelerated stochastic gradient descent B Wang, T Nguyen, T Sun, AL Bertozzi, RG Baraniuk, SJ Osher SIAM Journal on Imaging Sciences 15 (2), 738-761, 2022 | 42 | 2022 |
| Accurate, robust, and reliable calculations of Poisson–Boltzmann binding energies DD Nguyen, B Wang, GW Wei Journal of computational chemistry 38 (13), 941-948, 2017 | 42 | 2017 |
| Eses: Software for e ulerian solvent excluded surface B Liu, B Wang, R Zhao, Y Tong, GW Wei Journal of Computational Chemistry 38 (7), 446-466, 2017 | 42 | 2017 |
| Feature functional theory–binding predictor (FFT–BP) for the blind prediction of binding free energies B Wang, Z Zhao, DD Nguyen, GW Wei Theoretical Chemistry Accounts 136, 1-22, 2017 | 37 | 2017 |
| Differentially private federated learning with Laplacian smoothing Z Liang, B Wang, Q Gu, S Osher, Y Yao Applied and Computational Harmonic Analysis, 101660, 2024 | 32* | 2024 |
| Second order method for solving 3D elasticity equations with complex interfaces B Wang, K Xia, GW Wei Journal of computational physics 294, 405-438, 2015 | 32 | 2015 |
| Monodisperse drops templated by 3D-structured microparticles CY Wu, M Ouyang, B Wang, J de Rutte, A Joo, M Jacobs, K Ha, ... Science advances 6 (45), eabb9023, 2020 | 31 | 2020 |
| Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training B Wang, A Lin, P Yin, W Zhu, A L Bertozzi, S J Osher Inverse Problems & Imaging, 2020 | 29* | 2020 |
| Breaking the polar‐nonpolar division in solvation free energy prediction B Wang, C Wang, K Wu, GW Wei Journal of computational chemistry 39 (4), 217-233, 2018 | 29 | 2018 |
| Stability and generalization of decentralized stochastic gradient descent T Sun, D Li, B Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9756-9764, 2021 | 28 | 2021 |
