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Bao Wang
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2020 – today
- 2024
- [j45]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): 1952-1959 (2024) - [j44]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): 780-791 (2024) - [j43]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): 229-251 (2024) - 2023
- [j42]Bao Wang:
Pentagram-Type Maps and the Discrete KP Equation. J. Nonlinear Sci. 33(6): 101 (2023) - [j41]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): 33 (2023) - [j40]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): 54 (2023) - [j39]Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4289-4301 (2023) - [j38]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): 6758-6765 (2023) - [c29]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: 623-630 - [c28]Justin Baker, Qingsong Wang, Cory D. Hauck, Bao Wang:
Implicit Graph Neural Networks: A Monotone Operator Viewpoint. ICML 2023: 1521-1548 - [c27]Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang:
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. ICML 2023: 33077-33099 - 2022
- [j37]Guihua Wen, Huiqiang Liao, Huihui Li, Pengcheng Wen, Tong Zhang, Sande Gao, Bao Wang:
Self-labeling with feature transfer for speech emotion recognition. Knowl. Based Syst. 254: 109589 (2022) - [j36]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): 1558-1586 (2022) - [j35]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): 738-761 (2022) - [j34]Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang:
Adaptive and Implicit Regularization for Matrix Completion. SIAM J. Imaging Sci. 15(4): 2000-2022 (2022) - [j33]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): 6789-6802 (2022) - [c26]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 - [c25]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 - [c24]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 - [c23]Tao Sun, Dongsheng Li, Bao Wang:
Adaptive Random Walk Gradient Descent for Decentralized Optimization. ICML 2022: 20790-20809 - [c22]Samira Khorshidi, Bao Wang, George O. Mohler:
Adversarial Attacks on Deep Temporal Point Process. ICMLA 2022: 1-8 - [c21]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 - [c20]Tao Sun, Dongsheng Li, Bao Wang:
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. NeurIPS 2022 - [i35]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) - [i34]Justin Baker, Elena Cherkaev, Akil Narayan, Bao Wang:
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs. CoRR abs/2202.12373 (2022) - [i33]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 abs/2204.08621 (2022) - [i32]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) - [i31]Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang:
Adaptive and Implicit Regularization for Matrix Completion. CoRR abs/2208.05640 (2022) - 2021
- [j32]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: 485-496 (2021) - [j31]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): 2500-2514 (2021) - [j30]Bao Wang, Difan Zou, Quanquan Gu, Stanley J. Osher:
Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo. SIAM J. Sci. Comput. 43(1): A26-A53 (2021) - [j29]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): 2965-2975 (2021) - [c19]Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of Decentralized Stochastic Gradient Descent. AAAI 2021: 9756-9764 - [c18]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: 1-4 - [c17]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: 121-130 - [c16]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency. LOD 2021: 451-465 - [c15]Matthew Thorpe, Bao Wang:
Robust Certification for Laplace Learning on Geometric Graphs. MSML 2021: 896-920 - [c14]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 - [c13]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 - [i30]Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of the Decentralized Stochastic Gradient Descent. CoRR abs/2102.01302 (2021) - [i29]Matthew Thorpe, Bao Wang:
Robust Certification for Laplace Learning on Geometric Graphs. CoRR abs/2104.10837 (2021) - [i28]Tao Sun, Dongsheng Li, Bao Wang:
Decentralized Federated Averaging. CoRR abs/2104.11375 (2021) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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
- [j28]Bao Wang, Xiao Jia, Shaobo Cui, Shuang Guo:
Mechanical Exceptional-Point-Enhanced Second-Order Sideband Generation. IEEE Access 8: 18884-18892 (2020) - [j27]Liang Zhou, Haowei Mu, Bao Wang, Bo Yuan, Xuewei Dang:
Evaluating Urban Community Sustainability by Integrating Housing, Ecosystem Services, and Landscape Configuration. Complex. 2020: 3460962:1-3460962:14 (2020) - [j26]Bao Wang, Quanxin Zhu, Subei Li:
Stability analysis of switched singular stochastic linear systems. Int. J. Control 93(6): 1381-1387 (2020) - [j25]Bao Wang, Quanxin Zhu:
The novel sufficient conditions of almost sure exponential stability for semi-Markov jump linear systems. Syst. Control. Lett. 137: 104622 (2020) - [j24]Bao Wang, Quanxin Zhu:
Stability analysis of discrete-time semi-Markov jump linear systems with partly unknown semi-Markov kernel. Syst. Control. Lett. 140: 104688 (2020) - [j23]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): 559-582 (2020) - [j22]Stephen C. Anco, Bao Wang:
Geometrical Formulation for Adjoint-Symmetries of Partial Differential Equations. Symmetry 12(9): 1547 (2020) - [j21]Bao Wang, Quanxin Zhu:
Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems. IEEE Trans. Autom. Control. 65(12): 5415-5421 (2020) - [c12]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: 1-6 - [c11]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: 1-6 - [c10]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: 362-381 - [c9]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 - [c8]Tan M. Nguyen, Richard G. Baraniuk, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang:
MomentumRNN: Integrating Momentum into Recurrent Neural Networks. NeurIPS 2020 - [i22]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) - [i21]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) - [i20]Zhicong Liang, Bao Wang, Quanquan Gu, Stanley J. Osher, Yuan Yao:
Exploring Private Federated Learning with Laplacian Smoothing. CoRR abs/2005.00218 (2020) - [i19]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) - [i18]Zhijian Li, Bao Wang, Jack Xin:
An Integrated Approach to Produce Robust Models with High Efficiency. CoRR abs/2008.13305 (2020) - [i17]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) - [i16]Bao Wang, Qiang Ye:
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum. CoRR abs/2012.02188 (2020)
2010 – 2019
- 2019
- [j20]Bao Wang, Quanxin Zhu:
A Note on Sufficient Conditions of Almost Sure Exponential Stability for Semi-Markovian Jump Stochastic Systems. IEEE Access 7: 49466-49473 (2019) - [j19]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: 56986-56993 (2019) - [j18]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: 115574-115582 (2019) - [j17]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): 1068 (2019) - [j16]Bao Wang, Quanxin Zhu:
Asymptotic stability in distribution of stochastic systems with semi-Markovian switching. Int. J. Control 92(6): 1314-1324 (2019) - [j15]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): 476-496 (2019) - [c7]Bao Wang, Zuoqiang Shi, Stanley J. Osher:
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies. NeurIPS 2019: 1655-1665 - [c6]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 - [c5]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: 730-739 - [i15]Lisa Maria Kreusser, Stanley J. Osher, Bao Wang:
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
- [j14]Bao Wang, Quanxin Zhu:
Stability analysis of semi-Markov switched stochastic systems. Autom. 94: 72-80 (2018) - [j13]Bao Wang, Chengzhang Wang, Kedi Wu, Guo-Wei Wei:
Breaking the polar-nonpolar division in solvation free energy prediction. J. Comput. Chem. 39(4): 217-233 (2018) - [j12]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: 213-245 (2018) - [j11]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): 1547-1558 (2018) - [c4]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: 1-3 - [c3]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, Alex Tong Lin:
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
- [j10]Yin Cao, Bao Wang, Kelin Xia, Guo-Wei Wei:
Finite volume formulation of the MIB method for elliptic interface problems. J. Comput. Appl. Math. 321: 60-77 (2017) - [j9]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) - [j8]Duc Duy Nguyen, Bao Wang, Guo-Wei Wei:
Accurate, robust, and reliable calculations of Poisson-Boltzmann binding energies. J. Comput. Chem. 38(13): 941-948 (2017) - [j7]Quanxin Zhu, Feng Jiang, Hui Wang, Bao Wang:
Comment on "Stability analysis of stochastic differential equations with Markovian switching" [Systems & Control Letters 61 (2012) 1209-1214]. Syst. Control. Lett. 102: 102-103 (2017) - [j6]Bao Wang, Quanxin Zhu:
Stability analysis of Markov switched stochastic differential equations with both stable and unstable subsystems. Syst. Control. Lett. 105: 55-61 (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
- [j5]Yikang Rui, Huang Huang, Min Lu, Bao Wang, Jiechen Wang:
A Comparative Analysis of the Distributions of KFC and McDonald's Outlets in China. ISPRS Int. J. Geo Inf. 5(3): 27 (2016) - [j4]Bao Wang, Guo-Wei Wei:
Object-oriented persistent homology. J. Comput. Phys. 305: 276-299 (2016) - 2015
- [j3]Bao Wang, Kelin Xia, Guo-Wei Wei:
Matched interface and boundary method for elasticity interface problems. J. Comput. Appl. Math. 285: 203-225 (2015) - [j2]Bao Wang, Kelin Xia, Guo-Wei Wei:
Second order method for solving 3D elasticity equations with complex interfaces. J. Comput. Phys. 294: 405-438 (2015) - 2014
- [j1]Bao Wang, Weiguo Yang, Zhiyan Shi, Qingpei Zang:
Strong Law of Large Numbers for Countable Markov Chains Indexed by an Infinite Tree with Uniformly Bounded Degree. J. Appl. Math. 2014: 325361:1-325361:5 (2014) - [c2]Budan Wu, Rongheng Lin, Bao Wang, Junliang Chen:
Automatic Code Generation for Business Process System Based on Artifact. IEEE SCC 2014 - 2011
- [c1]Jingqi Sun, Hongze Li, Bao Wang, Sen Guo:
The Change Trend and Driving Factors of Beijing's Total-Factor Energy Efficiency: An Empirical Study. CSISE (3) 2011: 255-263
Coauthor Index
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