2020

  • An Integrated Approach to Produce Robust Models with High Efficiency
    Zhijian Li, Bao Wang, Jack Xin
    arXiv preprint, Aug. 2020
    arXiv
  • Monodisperse drops templated by 3D-structured microparticles
    Chueh-Yu Wu, Bao Wang, Joseph de Rutte, Mengxing Ouyang, Alexis Joo, Matthew Jacobs, Kyung Ha, Andrea Bertozzi, Dino Di Carlo
    Science Advances, , Aug. 2020 (in press)
    biorxiv
  • DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
    Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J Osher
    In Proceeding of Mathematical and Scientific Machine Learning (MSML 2020), Princeton, NJ, Jul. 2020
    PDF
  • MomentumRNN: Integrating Momentum into Recurrent Neural Networks
    Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
    arXiv preprint, Jun. 2020
    arXiv| Code
  • Exploring Private Federated Learning with Laplacian Smoothing
    Zhicong Liang, Bao Wang, Quanquan Gu, Stanley Osher, Yuan Yao
    arXiv preprint, May. 2020
    arXiv
  • Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets
    Thu Dinh*, Bao Wang*, Andrea L. Bertozzi, Stanley J. Osher
    arXiv preprint, March. 2020
    arXiv
  • Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent
    Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
    arXiv preprint, Feb. 2020
    arXiv| Code
  • EnResNet: ResNets Ensemble via the Feynman--Kac Formalism for Adversarial Defense and Beyond
    Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J Osher
    SIAM Journal on Mathematics of Data Science, Vol. 2, No. 3, pp.559-2582, 2020
    Journal
  • Adversarial Defense via Data-dependent Activation Function and Total Variation Minimization
    Bao Wang, Alex T Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L Bertozzi, Stanley J Osher
    Inverse Problems and Imaging, (to appear)
    arXiv

2019

  • Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo
    Bao Wang, Difan Zou, Quanquan Gu, Stanley Osher
    SIAM Journal on Scientific Computing, (to appear)
    arXiv
  • ResNets Ensemble via the Feynman-KAC Formalism to Improve Natural and Robust Accuracies
    Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley Osher
    Advances in Neural Information Processing Systems 32 (NeurIPS 2019), Vancouver, Dec. 2019
    Conference Proceeding
  • Deep Learning for Real-time Crime Forecasting and its Ternarization
    Bao Wang, Penghang Yin, Andrea Louise Bertozzi, P Jeffrey Brantingham, Stanley Joel Osher, Jack Xin
    Chinese Annals of Mathematics, Series B, Vol. 40, No. 6, pp.949-966, 2019
    Journal
  • SOS-EW: System for Overdose Spike Early Warning Using Drug Mover’s Distance-based Hawkes Processes
    Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea Bertozzi, Jeremy Carter, Brad Ray, George Mohler
    Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep. 2019
    Conference Proceeding
  • Stop Memorizing: A Data-dependent Regularization Framework for Intrinsic Pattern Learning
    Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
    SIAM Journal on Mathematics of Data Science, Vol. 1, No. 3, pp.476-496, 2019
    Journal
  • Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning
    Bao Wang, Stanley J. Osher
    arXiv preprint, July. 2019
    arXiv| Code
  • A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting
    Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin
    Proc. World Congress Global Optimization, Metz, France, July 2019
    Conference Proceeding
  • A Deterministic Approach to Avoid Saddle Points
    Lisa Maria Kreusser, Stanley J Osher, Bao Wang
    arXiv preprint, Jan. 2019
    arXiv

2018

  • Deep Neural Nets with Interpolating Function as Output Activation
    Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher
    Advances in Neural Information Processing Systems 31 (NeurIPS 2018), Vancouver, Dec. 2018
    Conference Proceeding
  • Mathematical Analysis of Adversarial Attacks
    Zehao Dou, Stanley J Osher, Bao Wang
    arXiv preprint, Nov. 2018
    arXiv
  • Error Estimation of Weighted Nonlocal Laplacian on Random Point Cloud
    Zuoqiang Shi, Bao Wang, Stanley J Osher
    arXiv preprint, Sep. 2018
    arXiv
  • Laplacian Smoothing Gradient Descent
    Stanley Osher, Bao Wang, Penghang Yin, Xiyang Luo, Farzin Barekat, Minh Pham, Alex Lin
    arXiv preprint, July. 2018
    arXiv
  • Graph-based Deep Modeling and Real-time Forecasting of Sparse Spatio-temporal Data
    Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L Bertozzi, P Jeffrey Brantingham
    4th Workshop on Mining and Learning from Time Series (MileTS), KDD, London, Aug. 2018.
    Paper|arXiv
  • Scientific Data Interpolation with Low Dimensional Manifold Model
    Wei Zhu, Bao Wang, Richard Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher
    Journal of Computational Physics, Vol. 352, pp.213-245, 2018
    Journal
  • Breaking the Polar-Nonpolar Division in Solvation Free Energy Prediction
    Bao Wang, Chengzhang Wang, Kedi Wu, GW Wei
    Journal of computational chemistry, Vol. 39, No. 4, pp.217-233, 2018
    Journal

2017

  • Deep Learning for Real-time Crime Forecasting
    Bao Wang, Duo Zhang, Duanhao Zhang, P. Jeffery Brantingham, Andrea L. Bertozzi
    2017 International Symposium on Nonlinear Theory and Its Applications (NOLTA), Cancun, Mexico, Dec. 2017
    Conference Proceeding|arXiv
  • Finite Volume Formulation of the MIB Method for Elliptic Interface Problems
    Yin Cao, Bao Wang, K Xia, G Wei
    Journal of Computational and Applied Mathematics, Vol. 321, pp.60-77, 2017
    Journal
  • Accurate, Robust, and Reliable Calculations of Poisson–Boltzmann Binding Energies
    DD Nguyen, Bao Wang, GW Wei
    Journal of computational chemistry, Vol. 38, No. 13, pp.941-948, 2017
    Journal
  • Feature Functional Theory–Binding Predictor (FFT–BP) for the Blind Prediction of Binding Free Energies
    Bao Wang, Zhixiong Zhao, DD Nguyen, GW Wei
    Theoretical Chemistry Accounts, Vol. 136, No. 4, 2017
    Journal
  • ESES: Software for Eulerian Solvent Excluded Surface
    B Liu, B Wang, R Zhao, Y Tong, GW Wei
    Journal of Computational Chemistry, Vol. 38, No. 7, pp.446-466, 2017
    Journal

2016

  • Automatic Parametrization of Non-polar Implicit Solvent Models for the Blind Prediction of Solvation Free Energies
    B Wang, Z Zhao, GW Wei
    The Journal of chemical physics, Vol. 145, No. 12, 124110, 2016
    Journal
  • Object-oriented Persistent Homology
    B Wang, GW Wei
    Journal of computational physics, Vol. 305, pp.276-299, 2016
    Journal

2015

  • Parameter Optimization in Differential Geometry-based Solvation Models
    B Wang, GW Wei
    The Journal of chemical physics, Vol. 143, No. 13, 10B608, 2015
    Journal
  • Second-order Method for Solving 3D Elasticity Equations with Complex Interfaces
    B Wang, K Xia, G Wei
    Journal of computational physics, Vol. 294, pp.405-438, 2015
    Journal
  • Matched Interface and Boundary Method for Elasticity Interface Problems
    B Wang, K Xia, GW Wei
    Journal of computational and applied mathematics, Vol. 205, No. 10, pp.203-225, 2015
    Journal