default search action
Bao Wang 0001
Person information
- affiliation: University of Utah, Department of Mathematics and Scientific Computing and Imaging Institute, Salt Lake City, UT, USA
- affiliation (PhD 2016): Michigan State University, East Lansing, MI, USA
Other persons with the same name
- Bao Wang — disambiguation page
- Bao Wang 0002
— Xuzhou University of Technology, School of Mathematics and Statistics, China (and 1 more)
- Bao Wang 0003 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j20]Bao Wang
Improving Deep Neural Networks' Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12288-12300 (2024) - [c24]Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang:
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs. AISTATS 2024: 2233-2241 - [c23]Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang:
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks. ICLR 2024 - [c22]Justin M. Baker, Shih-Hsin Wang, Tommaso de Fernex, Bao Wang:
An Explicit Frame Construction for Normalizing 3D Point Clouds. ICML 2024 - [i34]Wenqi Tao, Huaming Ling, Zuoqiang Shi, Bao Wang:
Deep Learning with Data Privacy via Residual Perturbation. CoRR abs/2408.05723 (2024) - 2023
- [j19]Mengqi Hu, Yifei Lou
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. 95(1): 33 (2023) - [j18]Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang:
Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs. J. Sci. Comput. 95(2): 54 (2023) - [j17]Tao Sun
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4289-4301 (2023) - [j16]Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang:
Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Justin M. Baker, Qingsong Wang, Cory D. Hauck, Bao Wang:
Implicit Graph Neural Networks: A Monotone Operator Viewpoint. ICML 2023: 1521-1548 - [c20]Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang:
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML 2023: 33077-33099 - 2022
- [j15]Yifan Hua, Kevin Miller
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. SIAM J. Appl. Math. 82(4): 1558-1586 (2022) - [j14]Bao Wang
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. 15(2): 738-761 (2022) - [j13]Zhemin Li
Adaptive and Implicit Regularization for Matrix Completion. SIAM J. Imaging Sci. 15(4): 2000-2022 (2022) - [c19]Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin:
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I 2022: 35-37 - [c18]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP 2022: 3968-3972 - [c17]Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
GRAND++: Graph Neural Diffusion with A Source Term. ICLR 2022 - [c16]Tao Sun, Dongsheng Li, Bao Wang:
Adaptive Random Walk Gradient Descent for Decentralized Optimization. ICML 2022: 20790-20809 - [c15]Samira Khorshidi, Bao Wang, George O. Mohler:
Adversarial Attacks on Deep Temporal Point Process. ICMLA 2022: 1-8 - [c14]Tan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang:
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. MSML 2022: 189-204 - [c13]Tao Sun, Dongsheng Li, Bao Wang:
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS 2022 - [i33]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR abs/2201.09145 (2022) - [i32]Justin M. Baker, Elena Cherkaev, Akil Narayan, Bao Wang:
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs. CoRR abs/2202.12373 (2022) - [i31]Justin M. Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs. CoRR abs/2204.08621 (2022) - [i30]Tan M. Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang:
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. CoRR abs/2208.00579 (2022) - [i29]Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang:
Adaptive and Implicit Regularization for Matrix Completion. CoRR abs/2208.05640 (2022) - 2021
- [j12]Bao Wang
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. 43(1): A26-A53 (2021) - [j11]Ti Bai
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40(11): 2965-2975 (2021) - [c12]Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of Decentralized Stochastic Gradient Descent. AAAI 2021: 9756-9764 - [c11]James N. Brundage
Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning. CinC 2021: 1-4 - [c10]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD 2021: 451-465 - [c9]Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Heavy Ball Neural Ordinary Differential Equations. NeurIPS 2021: 18646-18659 - [c8]Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang:
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. NeurIPS 2021: 29449-29463 - [i28]Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of the Decentralized Stochastic Gradient Descent. CoRR abs/2102.01302 (2021) - [i27]Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. CoRR abs/2104.11375 (2021) - [i26]Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang:
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention. CoRR abs/2108.02347 (2021) - [i25]Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
Heavy Ball Neural Ordinary Differential Equations. CoRR abs/2110.04840 (2021) - [i24]Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher:
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies. CoRR abs/2110.07034 (2021) - [i23]Tao Sun, Huaming Ling, Zuoqiang Shi, Dongsheng Li, Bao Wang:
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization. CoRR abs/2110.09057 (2021) - [i22]Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang:
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. CoRR abs/2112.15486 (2021) - 2020
- [j10]Bao Wang
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond. SIAM J. Math. Data Sci. 2(3): 559-582 (2020) - [c7]Thu Dinh, Bao Wang, Andrea L. Bertozzi
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) 2020: 362-381 - [c6]Bao Wang, Quanquan Gu, March Boedihardjo, Lingxiao Wang, Farzin Barekat, Stanley J. Osher:
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. MSML 2020: 328-351 - [c5]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS 2020 - [i21]Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher:
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR abs/2002.10583 (2020) - [i20]Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher:
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. CoRR abs/2003.00631 (2020) - [i19]Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao:
Exploring Private Federated Learning with Laplacian Smoothing. CoRR abs/2005.00218 (2020) - [i18]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR abs/2006.06919 (2020) - [i17]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Models with High Efficiency. CoRR abs/2008.13305 (2020) - [i16]Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR abs/2011.14873 (2020)
2010 – 2019
- 2019
- [j9]Wei Zhu
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [c4]Bao Wang, Zuoqiang Shi, Stanley J. Osher:
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS 2019: 1655-1665 - [c3]Wen-Hao Chiang, Baichuan Yuan, Hao Li, Bao Wang, Andrea L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler:
SOS-EW: System for Overdose Spike Early Warning Using Drug Mover's Distance-Based Hawkes Processes. PKDD/ECML Workshops (1) 2019: 538-554 - [c2]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. WCGO 2019: 730-739 - [i15]Lisa Maria Kreusser
A Deterministic Approach to Avoid Saddle Points. CoRR abs/1901.06827 (2019) - [i14]Zhijian Li, Xiyang Luo, Bao Wang, Andrea L. Bertozzi, Jack Xin:
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting. CoRR abs/1902.05113 (2019) - [i13]Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher:
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. CoRR abs/1906.12056 (2019) - [i12]Bao Wang, Stanley J. Osher:
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. CoRR abs/1907.06800 (2019) - [i11]Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. CoRR abs/1911.00782 (2019) - 2018
- [j8]Bao Wang, Chengzhang Wang, Kedi Wu
Breaking the polar-nonpolar division in solvation free energy prediction. J. Comput. Chem. 39(4): 217-233 (2018) - [j7]Wei Zhu
Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. 352: 213-245 (2018) - [c1]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Neural Nets with Interpolating Function as Output Activation. NeurIPS 2018: 751-761 - [i10]Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher:
Deep Learning with Data Dependent Implicit Activation Function. CoRR abs/1802.00168 (2018) - [i9]Bao Wang, Xiyang Luo, Fangbo Zhang, Baichuan Yuan, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Graph-Based Deep Modeling and Real Time Forecasting of Sparse Spatio-Temporal Data. CoRR abs/1804.00684 (2018) - [i8]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i7]Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018) - [i6]Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher:
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR abs/1809.08516 (2018) - [i5]Zehao Dou, Stanley J. Osher, Bao Wang:
Mathematical Analysis of Adversarial Attacks. CoRR abs/1811.06492 (2018) - [i4]Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher:
EnResNet: ResNet Ensemble via the Feynman-Kac Formalism. CoRR abs/1811.10745 (2018) - 2017
- [j6]Yin Cao
Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. 321: 60-77 (2017) - [j5]Beibei Liu, Bao Wang, Rundong Zhao, Yiying Tong, Guo-Wei Wei:
ESES: Software for Eulerian solvent excluded surface. J. Comput. Chem. 38(7): 446-466 (2017) - [j4]Duc Duy Nguyen
Accurate, robust, and reliable calculations of Poisson-Boltzmann binding energies. J. Comput. Chem. 38(13): 941-948 (2017) - [i3]Bao Wang, Zhixiong Zhao, Duc Duy Nguyen, Guo-Wei Wei:
Feature functional theory - binding predictor (FFT-BP) for the blind prediction of binding free energies. CoRR abs/1703.10927 (2017) - [i2]Bao Wang, Duo Zhang, Duanhao Zhang, P. Jeffrey Brantingham, Andrea L. Bertozzi:
Deep Learning for Real Time Crime Forecasting. CoRR abs/1707.03340 (2017) - [i1]Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin:
Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR abs/1711.08833 (2017) - 2016
- [j3]Bao Wang, Guo-Wei Wei:
Object-oriented persistent homology. J. Comput. Phys. 305: 276-299 (2016) - 2015
- [j2]Bao Wang, Kelin Xia
Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. 285: 203-225 (2015) - [j1]Bao Wang, Kelin Xia
Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. 294: 405-438 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: