Bao Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 114

Top Venues

Publications

Guangjin Wang, Bao Wang, Fuyong Xu, Ru Wang, Zhenfang Zhu, Peiyu Liu
Domain-consistent syntactic representation for cross-domain aspect sentiment triplet extraction. Expert Syst. Appl. 256 (2024)
Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang
Efficient Score Matching with Deep Equilibrium Layers. ICLR (2024)
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)
Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang
Multi-geometry embedded transformer for facial expression recognition in videos. Expert Syst. Appl. 249 (2024)
Bao Wang, Philippe J. Giabbanelli
Identifying Informative Features to Evaluate Student Knowledge as Causal Maps. Int. J. Artif. Intell. Educ. 34 (2) (2024)
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)
Ke Fang, Zejun Wang, Qi Xia, Yingchao Liu, Bao Wang, Zhaowei Cheng, Jian Cheng, Xinyu Jin, Ruiliang Bai, Lanjuan Li
Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Dongliang Chen, Guihua Wen, Huihui Li, Pei Yang, Chuyun Chen, Bao Wang
CDGT: Constructing diverse graph transformers for emotion recognition from facial videos. Neural Networks 179 (2024)
Bao Wang, Quanxin Zhu
Control of discrete-time semi-Markovian switched linear singular systems. Syst. Control. Lett. 183 (2024)
Bao Wang, Andrew A. Tawfik, Charles Wayne Keene, Philippe J. Giabbanelli
Transitioning from Individuals to Groups in Knowledge Map Construction. Technol. Knowl. Learn. 29 (1) (2024)
Liang Zhou, Xi Wang, David López-Carr, Zhenbo Wang, Bao Wang, Feng Gao, Wei Wei
The World Cup reshaped the urban green space pattern of Qatar. Ecol. Informatics 81 (2024)
Bao Wang, Quanxin Zhu, Subei Li
Stabilization of Discrete-Time Hidden Semi-Markov Jump Linear Systems With Partly Unknown Emission Probability Matrix. IEEE Trans. Autom. Control. 69 (3) (2024)
Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML (2023)
Bao Wang
Pentagram-Type Maps and the Discrete KP Equation. J. Nonlinear Sci. 33 (6) (2023)
Tao Sun, Dongsheng Li, Bao Wang
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Justin Baker, Qingsong Wang, Cory D. Hauck, Bao Wang
Implicit Graph Neural Networks: A Monotone Operator Viewpoint. ICML (2023)
Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang
Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs. J. Sci. Comput. 95 (2) (2023)
Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang
Pairwise Learning with Adaptive Online Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
Kang Ci, Gang Li, Jiaying Sun, Bao Wang, Ling Zhang
YOLO-UB Based Detection and Identification of Illegal Structures in the Ancient City. CAIBDA (2023)
Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. 95 (1) (2023)
Bao Wang, Quanxin Zhu, Subei Li
Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems With Time Delay. IEEE Trans. Autom. Control. 68 (11) (2023)
Tao Sun, Dongsheng Li, Bao Wang
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS (2022)
Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I (2022)
Tao Sun, Dongsheng Li, Bao Wang
Adaptive Random Walk Gradient Descent for Decentralized Optimization. ICML (2022)
Yanxiang Jiang, Bao Wang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You
Joint MDS Codes and Weighted Graph-Based Coded Caching in Fog Radio Access Networks. IEEE Trans. Wirel. Commun. 21 (9) (2022)
Guihua Wen, Huiqiang Liao, Huihui Li, Pengchen Wen, Tong Zhang, Sande Gao, Bao Wang
Self-labeling with feature transfer for speech emotion recognition. Knowl. Based Syst. 254 (2022)
Samira Khorshidi, Bao Wang, George O. Mohler
Adversarial Attacks on Deep Temporal Point Process. ICMLA (2022)
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)
Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang
Adaptive and Implicit Regularization for Matrix Completion. SIAM J. Imaging Sci. 15 (4) (2022)
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)
Tan 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 (2022)
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 (2022)
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)
Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs. CoRR (2022)
Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. SIAM J. Appl. Math. 82 (4) (2022)
Justin 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 (2022)
Bao Wang, Tan M. Nguyen, Tao Sun, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. SIAM J. Imaging Sci. 15 (2) (2022)
Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang
Adaptive and Implicit Regularization for Matrix Completion. CoRR (2022)
Tao Sun, Dongsheng Li, Bao Wang
Stability and Generalization of the Decentralized Stochastic Gradient Descent. CoRR (2021)
James N. Brundage, Vai Suliafu, Jake A. Bergquist, Brian Zenger, Lindsay C. Rupp, Bao Wang, Rob S. MacLeod
Myocardial Ischemia Detection Using Body Surface Potential Mappings and Machine Learning. CinC (2021)
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)
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)
Matthew Thorpe, Bao Wang
Robust Certification for Laplace Learning on Geometric Graphs. CoRR (2021)
Tao Sun, Dongsheng Li, Bao Wang
Decentralized Federated Averaging. CoRR (2021)
Matthew Thorpe, Bao Wang
Robust Certification for Laplace Learning on Geometric Graphs. MSML (2021)
Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. 43 (1) (2021)
Zhijian Li, Bao Wang, Jack Xin
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD (2021)
Bao Wang, Hedi Xia, Tan M. Nguyen, Stanley J. Osher
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies. CoRR (2021)
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 (2021)
Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang
Efficient and Reliable Overlay Networks for Decentralized Federated Learning. CoRR (2021)
Tao Sun, Huaming Ling, Zuoqiang Shi, Dongsheng Li, Bao Wang
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization. CoRR (2021)
Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. SASHIMI@MICCAI (2021)
Hedi Xia, Vai Suliafu, Hangjie Ji, Tan M. Nguyen, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Heavy Ball Neural Ordinary Differential Equations. CoRR (2021)
Tao Sun, Dongsheng Li, Bao Wang
Stability and Generalization of Decentralized Stochastic Gradient Descent. AAAI (2021)
Xu Yang, Chaoqun Jiao, Junfeng Yang, Jing Fan, Dingzhen Li, Bao Wang
Bandwidth Enhancement for Wireless Power Transfer System Employing Non-Linear Resonator. IEEE Access 9 (2021)
Bao Wang, Quanxin Zhu, Lei Xu
Expected power bound and stability of two-dimensional digital filters with multiplicative noise in the FMLSS model. J. Frankl. Inst. 358 (4) (2021)
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. IEEE Trans. Medical Imaging 40 (11) (2021)
Liang Zhou, Haowei Mu, Bao Wang, Bo Yuan, Xuewei Dang
Evaluating Urban Community Sustainability by Integrating Housing, Ecosystem Services, and Landscape Configuration. Complex. 2020 (2020)
Bao Wang, Quanxin Zhu
Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems. IEEE Trans. Autom. Control. 65 (12) (2020)
Bao Wang, Qiang Ye
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum. CoRR (2020)
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 (2020)
Hui Long, Ming Chen, Zhaohui Yang, Zhiyang Li, Bao Wang, Yun Xu, Mohammad Shikh-Bahaei
Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with RIS. GLOBECOM (Workshops) (2020)
Bao Wang, Binjie Yuan, Zuoqiang Shi, Stanley J. Osher
EnResNet: ResNets Ensemble via the Feynman-Kac Formalism for Adversarial Defense and Beyond. SIAM J. Math. Data Sci. 2 (3) (2020)
Thu Dinh, Bao Wang, Andrea L. Bertozzi, Stanley J. Osher, Jack Xin
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets. LOD (2) (2020)
Zhijian Li, Bao Wang, Jack Xin
An Integrated Approach to Produce Robust Models with High Efficiency. CoRR (2020)
Bao Wang, Quanxin Zhu
Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel. Syst. Control. Lett. 140 (2020)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. CoRR (2020)
Bao Wang, Quanxin Zhu, Subei Li
Stability analysis of switched singular stochastic linear systems. Int. J. Control 93 (6) (2020)
Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS (2020)
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)
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 (2020)
Stephen C. Anco, Bao Wang
Geometrical Formulation for Adjoint-Symmetries of Partial Differential Equations. Symmetry 12 (9) (2020)
Bao Wang, Tan M. Nguyen, Andrea L. Bertozzi, Richard G. Baraniuk, Stanley J. Osher
Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent. CoRR (2020)
Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao
Exploring Private Federated Learning with Laplacian Smoothing. CoRR (2020)
Bao Wang, Quanxin Zhu
The novel sufficient conditions of almost sure exponential stability for semi-Markov jump linear systems. Syst. Control. Lett. 137 (2020)
Bao Wang, Xiao Jia, Shaobo Cui, Shuang Guo
Mechanical Exceptional-Point-Enhanced Second-Order Sideband Generation. IEEE Access 8 (2020)
Bao Wang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiqi Gao, Xiaohu You
Joint Redundant MDS Codes and Cluster Cooperation Based Coded Caching in Fog Radio Access Networks. ICC Workshops (2020)
Enrico Carmeli, Bao Wang, Paolo Moretti, Davide Tranchida, Dario Cavallo
Estimating the Nucleation Ability of Various Surfaces Towards Isotactic Polypropylene via Light Intensity Induction Time Measurements. Entropy 21 (11) (2019)
Bao Wang, Zuoqiang Shi, Stanley J. Osher
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS (2019)
Yan Wei, Zhen-Qi Hua, Bao Wang, Zeng-Xing Liu, Hao Xiong, Ying Wu
Quantitative Analysis of Magnon Induced Second-Order Sideband Generation. IEEE Access 7 (2019)
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 (2019)
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)
Li Ying Nie, Xian Qi Lin, Bao Wang, Jin Zhang
A Planar Multifunctional Four-Port Antenna System for Sub-Urban Mobile Tablet. IEEE Access 7 (2019)
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. WCGO (2019)
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 (2019)
Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. CoRR (2019)
Bao Wang, Quanxin Zhu
A Note on Sufficient Conditions of Almost Sure Exponential Stability for Semi-Markovian Jump Stochastic Systems. IEEE Access 7 (2019)
Bao Wang, Stanley J. Osher
Graph Interpolating Activation Improves Both Natural and Robust Accuracies in Data-Efficient Deep Learning. CoRR (2019)
Lisa Maria Kreusser, Stanley J. Osher, Bao Wang
A Deterministic Approach to Avoid Saddle Points. CoRR (2019)
Bao Wang, Quanxin Zhu
Asymptotic stability in distribution of stochastic systems with semi-Markovian switching. Int. J. Control 92 (6) (2019)
Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1 (3) (2019)
Shan Yin, Shijia Guo, Wenzhe Li, Bao Wang, Yu Shang, Shanguo Huang
Survivable Multipath RSA of Anycast Traffic in CDN Against Multiple Node Failures. ECOC (2018)
Wei Zhu, Bao Wang, Richard C. Barnard, Cory D. Hauck, Frank Jenko, Stanley J. Osher
Scientific data interpolation with low dimensional manifold model. J. Comput. Phys. 352 (2018)
Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
Laplacian Smoothing Gradient Descent. CoRR (2018)
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 (2018)
Zehao Dou, Stanley J. Osher, Bao Wang
Mathematical Analysis of Adversarial Attacks. CoRR (2018)
Bao Wang, Chengzhang Wang, Kedi Wu, Guo-Wei Wei
Breaking the polar-nonpolar division in solvation free energy prediction. J. Comput. Chem. 39 (4) (2018)
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 (2018)
Bao Wang, Linjie Gao, Zhicai Juan
Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier. IEEE Trans. Intell. Transp. Syst. 19 (5) (2018)
Bao Wang, Quanxin Zhu
Stability analysis of semi-Markov switched stochastic systems. Autom. 94 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bao Wang