Bao Wang

According to our database, Bao Wang authored at least 95 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transitioning from Individuals to Groups in Knowledge Map Construction.

Bao Wang, Andrew A. Tawfik, Charles Wayne Keene, Philippe J. Giabbanelli

Technol. Knowl. Learn., March, 2024

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Ke Fang, Zejun Wang, Qi Xia, Yingchao Liu, Bao Wang, Zhaowei Cheng, Jian Cheng, Xinyu Jin, Ruiliang Bai, Lanjuan Li

IEEE Trans. Biomed. Eng., March, 2024

Stabilization of Discrete-Time Hidden Semi-Markov Jump Linear Systems With Partly Unknown Emission Probability Matrix.

Bao Wang, Quanxin Zhu, Subei Li

IEEE Trans. Autom. Control., March, 2024

2023

Pentagram-Type Maps and the Discrete KP Equation.

Bao Wang

J. Nonlinear Sci., December, 2023

Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems With Time Delay.

Bao Wang, Quanxin Zhu, Subei Li

IEEE Trans. Autom. Control., November, 2023

Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang

J. Sci. Comput., May, 2023

Decentralized Federated Averaging.

Tao Sun, Dongsheng Li, Bao Wang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum.

Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye

J. Sci. Comput., April, 2023

Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions.

Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang

Proceedings of the International Conference on Machine Learning, 2023

Implicit Graph Neural Networks: A Monotone Operator Viewpoint.

Justin Baker, Qingsong Wang, Cory D. Hauck, Bao Wang

Proceedings of the International Conference on Machine Learning, 2023

YOLO-UB Based Detection and Identification of Illegal Structures in the Ancient City.

Kang Ci, Gang Li, Jiaying Sun, Bao Wang, Ling Zhang

Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

2022

Adaptive and Implicit Regularization for Matrix Completion.

Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang

SIAM J. Imaging Sci., December, 2022

Efficient and Reliable Overlay Networks for Decentralized Federated Learning.

Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang

SIAM J. Appl. Math., August, 2022

Joint MDS Codes and Weighted Graph-Based Coded Caching in Fog Radio Access Networks.

Yanxiang Jiang, Bao Wang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You

IEEE Trans. Wirel. Commun., 2022

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent.

Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher

SIAM J. Imaging Sci., 2022

Self-labeling with feature transfer for speech emotion recognition.

Guihua Wen, Huiqiang Liao, Huihui Li, Pengcheng Wen, Tong Zhang, Sande Gao, Bao Wang

Knowl. Based Syst., 2022

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs.

Justin Baker, Hedi Xia, Yiwei Wang, Elena Cherkaev, Akil Narayan, Long Chen, Jack Xin, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

CoRR, 2022

Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs.

Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang

CoRR, 2022

Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks.

Tao Sun, Dongsheng Li, Bao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization.

Tan Minh Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang

Proceedings of the Mathematical and Scientific Machine Learning, 2022

Adversarial Attacks on Deep Temporal Point Process.

Samira Khorshidi, Bao Wang, George O. Mohler

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Adaptive Random Walk Gradient Descent for Decentralized Optimization.

Tao Sun, Dongsheng Li, Bao Wang

Proceedings of the International Conference on Machine Learning, 2022

GRAND++: Graph Neural Diffusion with A Source Term.

Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction.

Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin

Proceedings of the IEEE International Conference on Acoustics, 2022

Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling.

Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin

Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022

2021

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.

Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang

IEEE Trans. Medical Imaging, 2021

Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo.

Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher

SIAM J. Sci. Comput., 2021

Expected power bound and stability of two-dimensional digital filters with multiplicative noise in the FMLSS model.

Bao Wang, Quanxin Zhu, Lei Xu

J. Frankl. Inst., 2021

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization.

Tao Sun, Huaming Ling, Zuoqiang Shi, Dongsheng Li, Bao Wang

CoRR, 2021

How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies.

Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher

CoRR, 2021

Bandwidth Enhancement for Wireless Power Transfer System Employing Non-Linear Resonator.

Xu Yang, Chaoqun Jiao, Junfeng Yang, Jing Fan, Dingzhen Li, Bao Wang

IEEE Access, 2021

Heavy Ball Neural Ordinary Differential Equations.

Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention.

Tan M. Nguyen, Vai Suliafu, Stanley J. Osher, Long Chen, Bao Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Certification for Laplace Learning on Geometric Graphs.

Matthew Thorpe, Bao Wang

Proceedings of the Mathematical and Scientific Machine Learning, 2021

An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency.

Zhijian Li, Bao Wang, Jack Xin

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging.

Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia

Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning.

James N. Brundage, Vai Suliafu, Jake A. Bergquist, Brian Zenger, Lindsay C. Rupp, Bao Wang, Rob S. MacLeod

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Stability and Generalization of Decentralized Stochastic Gradient Descent.

Tao Sun, Dongsheng Li, Bao Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems.

Bao Wang, Quanxin Zhu

IEEE Trans. Autom. Control., 2020

Geometrical Formulation for Adjoint-Symmetries of Partial Differential Equations.

Stephen C. Anco, Bao Wang

Symmetry, 2020

EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond.

Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher

SIAM J. Math. Data Sci., 2020

Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel.

Bao Wang, Quanxin Zhu

Syst. Control. Lett., 2020

The novel sufficient conditions of almost sure exponential stability for semi-Markov jump linear systems.

Bao Wang, Quanxin Zhu

Syst. Control. Lett., 2020

Stability analysis of switched singular stochastic linear systems.

Bao Wang, Quanxin Zhu, Subei Li

Int. J. Control, 2020

Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum.

Bao Wang, Qiang Ye

CoRR, 2020

An Integrated Approach to Produce Robust Models with High Efficiency.

Zhijian Li, Bao Wang, Jack Xin

CoRR, 2020

Exploring Private Federated Learning with Laplacian Smoothing.

Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao

CoRR, 2020

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

CoRR, 2020

Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent.

Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher

CoRR, 2020

Evaluating Urban Community Sustainability by Integrating Housing, Ecosystem Services, and Landscape Configuration.

Liang Zhou, Haowei Mu, Bao Wang, Bo Yuan, Xuewei Dang

Complex., 2020

Mechanical Exceptional-Point-Enhanced Second-Order Sideband Generation.

Bao Wang, Xiao Jia, Shaobo Cui, Shuang Guo

IEEE Access, 2020

MomentumRNN: Integrating Momentum into Recurrent Neural Networks.

Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Proceedings of Mathematical and Scientific Machine Learning, 2020

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, Jack Xin

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Joint Redundant MDS Codes and Cluster Cooperation Based Coded Caching in Fog Radio Access Networks.

Bao Wang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiqi Gao, Xiaohu You

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with RIS.

Hui Long, Ming Chen, Zhaohui Yang, Zhiyang Li, Bao Wang, Yun Xu, Mohammad Shikh-Bahaei

Proceedings of the IEEE Globecom Workshops, 2020

2019

Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning.

Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies

SIAM J. Math. Data Sci., 2019

Asymptotic stability in distribution of stochastic systems with semi-Markovian switching.

Bao Wang, Quanxin Zhu

Int. J. Control, 2019

Estimating the Nucleation Ability of Various Surfaces Towards Isotactic Polypropylene via Light Intensity Induction Time Measurements.

Enrico Carmeli, Bao Wang, Paolo Moretti, Davide Tranchida, Dario Cavallo

Entropy, 2019

Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning.

Bao Wang, Stanley J. Osher

CoRR, 2019

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.

Bao Wang, Quanquan Gu, March Boedihardjo, Farzin Barekat, Stanley J. Osher

CoRR, 2019

A Deterministic Approach to Avoid Saddle Points.

Lisa Maria Kreusser, Stanley J. Osher, Bao Wang

CoRR, 2019

Quantitative Analysis of Magnon Induced Second-Order Sideband Generation.

Yan Wei, Zhen-Qi Hua, Bao Wang, Zeng-Xing Liu, Hao Xiong, Ying Wu

IEEE Access, 2019

A Note on Sufficient Conditions of Almost Sure Exponential Stability for Semi-Markovian Jump Stochastic Systems.

Bao Wang, Quanxin Zhu

IEEE Access, 2019

A Planar Multifunctional Four-Port Antenna System for Sub-Urban Mobile Tablet.

Li Ying Nie, Xian Qi Lin, Bao Wang, Jin Zhang

IEEE Access, 2019

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

Proceedings of the Optimization of Complex Systems: Theory, 2019

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 L. Bertozzi, Jeremy G. Carter, Brad Ray, George O. Mohler

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies.

Bao Wang, Zuoqiang Shi, Stanley J. Osher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier.

Bao Wang, Linjie Gao, Zhicai Juan

IEEE Trans. Intell. Transp. Syst., 2018

Scientific data interpolation with low dimensional manifold model.

Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher

J. Comput. Phys., 2018

Breaking the polar-nonpolar division in solvation free energy prediction.

Bao Wang, Chengzhang Wang, Kedi Wu, Guo-Wei Wei

J. Comput. Chem., 2018

EnResNet: ResNet Ensemble via the Feynman-Kac Formalism.

Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher

CoRR, 2018

Mathematical Analysis of Adversarial Attacks.

Zehao Dou, Stanley J. Osher, Bao Wang

CoRR, 2018

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization.

Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher

CoRR, 2018

Laplacian Smoothing Gradient Descent.

Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin

CoRR, 2018

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

CoRR, 2018

Deep Learning with Data Dependent Implicit Activation Function.

Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher

CoRR, 2018

Stability analysis of semi-Markov switched stochastic systems.

Bao Wang, Quanxin Zhu

Autom., 2018

Deep Neural Nets with Interpolating Function as Output Activation.

Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Survivable Multipath RSA of Anycast Traffic in CDN Against Multiple Node Failures.

Shan Yin, Shijia Guo, Wenzhe Li, Bao Wang, Yu Shang, Shanguo Huang

Proceedings of the European Conference on Optical Communication, 2018

2017

Comment on "Stability analysis of stochastic differential equations with Markovian switching" [Systems & Control Letters 61 (2012) 1209-1214].

Quanxin Zhu, Feng Jiang, Hui Wang, Bao Wang

Syst. Control. Lett., 2017

Stability analysis of Markov switched stochastic differential equations with both stable and unstable subsystems.

Bao Wang, Quanxin Zhu

Syst. Control. Lett., 2017

Accurate, robust, and reliable calculations of Poisson-Boltzmann binding energies.

Duc Duy Nguyen, Bao Wang, Guo-Wei Wei

J. Comput. Chem., 2017

ESES: Software for Eulerian solvent excluded surface.

Beibei Liu, Bao Wang, Rundong Zhao, Yiying Tong, Guo-Wei Wei

J. Comput. Chem., 2017

Finite volume formulation of the MIB method for elliptic interface problems.

Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Appl. Math., 2017

Deep Learning for Real-Time Crime Forecasting and its Ternarization.

Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin

CoRR, 2017

Deep Learning for Real Time Crime Forecasting.

Bao Wang, Duo Zhang, Duanhao Zhang, P. Jeffrey Brantingham, Andrea L. Bertozzi

CoRR, 2017

Feature functional theory - binding predictor (FFT-BP) for the blind prediction of binding free energies.

Bao Wang, Zhixiong Zhao, Duc Duy Nguyen, Guo-Wei Wei

CoRR, 2017

2016

Object-oriented persistent homology.

Bao Wang, Guo-Wei Wei

J. Comput. Phys., 2016

A Comparative Analysis of the Distributions of KFC and McDonald's Outlets in China.

Yikang Rui, Huang Huang, Min Lu, Bao Wang, Jiechen Wang

ISPRS Int. J. Geo Inf., 2016

2015

Second order method for solving 3D elasticity equations with complex interfaces.

Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Phys., 2015

Matched interface and boundary method for elasticity interface problems.

Bao Wang, Kelin Xia, Guo-Wei Wei

J. Comput. Appl. Math., 2015

2014

Strong Law of Large Numbers for Countable Markov Chains Indexed by an Infinite Tree with Uniformly Bounded Degree.

Bao Wang, Weiguo Yang, Zhiyan Shi, Qingpei Zang

J. Appl. Math., 2014

Automatic Code Generation for Business Process System Based on Artifact.

Budan Wu, Rongheng Lin, Bao Wang, Junliang Chen

Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2011

The Change Trend and Driving Factors of Beijing's Total-Factor Energy Efficiency: An Empirical Study.

Jingqi Sun, Hongze Li, Bao Wang, Sen Guo

Proceedings of the Advances in Computer Science, 2011