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