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Journal Articles
- 2024
[j18]Shutong Hou, Haibing Wang
:
An efficient algorithm for time-domain acoustic scattering in three dimensions by layer potentials. J. Comput. Phys. 514: 113258 (2024)- [j17]Cong Shi, Xiang Fu, Haibing Wang, Yingcheng Lin, Ying Jiang, Liyuan Liu, Nanjian Wu, Min Tian:
Ghost Reservoir: A Memory-Efficient Low-Power and Real-Time Neuromorphic Processor of Liquid State Machine With On-Chip Learning. IEEE Trans. Circuits Syst. II Express Briefs 71(10): 4526-4530 (2024) - 2023
- [j16]Xianghe Zhu, Jun Guo, Haibing Wang:
Uniqueness Results for Some Inverse Electromagnetic Scattering Problems with Phaseless Far-Field Data. Axioms 12(12): 1069 (2023) - [j15]Shiwei Sun, Gen Nakamura, Haibing Wang:
Numerical studies of domain sampling methods for inverse boundary value problems by one measurement. J. Comput. Phys. 485: 112099 (2023) - [j14]Leyi Chen, Cong Shi, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Min Tian:
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4249-4259 (2023) - 2022
- [j13]Shuli Chen, Daijun Jiang, Haibing Wang:
Simultaneous identification of initial value and source strength in a transmission problem for a parabolic equation. Adv. Comput. Math. 48(6): 77 (2022) - [j12]Qingyun Yao, Haibing Wang:
A numerical scheme for the time-fractional diffusion equation by layer potentials. J. Comput. Phys. 448: 110763 (2022) - [j11]Mourad Sini, Haibing Wang:
The Inverse Source Problem for the Wave Equation Revisited: A New Approach. SIAM J. Math. Anal. 54(5): 5160-5181 (2022) - [j10]Haibing Wang, Zhen He, Tengxiao Wang, Junxian He, Xichuan Zhou, Ying Wang, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Trans. Biomed. Circuits Syst. 16(4): 636-650 (2022) - 2021
- [j9]Mourad Sini, Haibing Wang, Qingyun Yao:
Analysis of the Acoustic Waves Reflected by a Cluster of Small Holes in the Time-Domain and the Equivalent Mass Density. Multiscale Model. Simul. 19(2): 1083-1114 (2021) - [j8]Qiong Jin, Mian Huang, Jun Lin, Shansan Wu, Zhang Shen, Haibing Wang:
Optimized Double-Regional Filtering Algorithm on MRI Three-Dimensional Reconstructed Images for the Evaluation of Effects of Delivery on the Pelvis of Primiparas. Sci. Program. 2021: 7985624:1-7985624:7 (2021) - 2019
- [j7]Mourad Sini, Haibing Wang:
Estimation of the Heat Conducted by a Cluster of Small Cavities and Characterization of the Equivalent Heat Conduction. Multiscale Model. Simul. 17(4): 1214-1251 (2019) - 2018
- [j6]Haibing Wang, Yi Li:
Numerical solution of an inverse boundary value problem for the heat equation with unknown inclusions. J. Comput. Phys. 369: 1-15 (2018) - 2016
- [j5]Shan Zeng, Rui Huang, Haibing Wang, Zhen Kang:
Image retrieval using spatiograms of colors quantized by Gaussian Mixture Models. Neurocomputing 171: 673-684 (2016) - 2015
- [j4]Zewen Wang, Haibing Wang, Shufang Qiu:
A new method for numerical differentiation based on direct and inverse problems of partial differential equations. Appl. Math. Lett. 43: 61-67 (2015) - [j3]Gen Nakamura, Haibing Wang:
Reconstruction of an Impedance Cylinder at Oblique Incidence from the Far-Field Data. SIAM J. Appl. Math. 75(1): 252-274 (2015) - [j2]Haibing Wang, Jijun Liu:
The Two-Dimensional Direct and Inverse Scattering Problems with Generalized Oblique Derivative Boundary Condition. SIAM J. Appl. Math. 75(2): 313-334 (2015) - 2012
- [j1]Haibing Wang, Jijun Liu:
Recovering the Dirichlet-to-Neumann map in inverse scattering problems using integral equation methods. Adv. Comput. Math. 36(2): 279-297 (2012)
Conference and Workshop Papers
- 2023
- [c8]Zhengqing Zhong, Tengxiao Wang, Haibing Wang, Zhihua Zhou, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. AICAS 2023: 1-2 - [c7]Tengxiao Wang, Min Tian, Zhengqing Zhong, Haibing Wang, Junxian He, Fang Tang, Xichuan Zhou, Shuangming Yu, Nanjian Wu, Liyuan Liu, Cong Shi:
MorphBungee: A 65nm 7.2mm2 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning. A-SSCC 2023: 1-3 - [c6]Fengchun Tian, Xiang Fu, Haibing Wang, Jingya Zhang, Haoran Gao, Shukai Duan, Lidan Wang, Min Tian:
NORP: A Compact Neuromorphic Olfactory Recognition Processor With On-Chip Hybrid Learning. ICTA 2023: 31-32 - 2022
- [c5]Leyi Chen, Junxian He, Jianyi Yu, Haibing Wang, Jing Lu, Liyuan Liu, Nanjian Wu, Cong Shi, Min Tian:
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. APCCAS 2022: 1-5 - [c4]Tengxiao Wang, Haibing Wang, Junxian He, Zhengqing Zhong, Fang Tang, Xichuan Zhou, Shuangming Yu, Liyuan Liu, Nanjian Wu, Min Tian, Cong Shi:
MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks. BioCAS 2022: 255-259 - [c3]Min Tian, Jing Lu, Haoran Gao, Haibing Wang, Jianyi Yu, Cong Shi:
A Lightweight Spiking GAN Model for Memristor-centric Silicon Circuit with On-chip Reinforcement Adversarial Learning. ISCAS 2022: 3388-3392 - 2021
- [c2]Haibing Wang, Zhen He, Jinsong Rao, Tengxiao Wang, Junxian He, Min Tian, Xichuan Zhou, Liyuan Liu, Nanjian Wu, Cong Shi:
TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning. ICTA 2021: 88-89 - 2016
- [c1]Haodong Chen, Qing He, Guan Guan, Xian Wu, Tao Xu, Yanghong Zhang, Haibing Wang:
A data processing method for chemical industry based on sensor data and process monitoring. ICIA 2016: 768-771
Coauthor Index
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