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Xiangwen Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
2020 – today
- 2024
- [j20]Xiangwen Wang, Derek Quinn, Thomas S. Moody, Meilan Huang:
ALDELE: All-Purpose Deep Learning Toolkits for Predicting the Biocatalytic Activities of Enzymes. J. Chem. Inf. Model. 64(8): 3123-3139 (2024) - [j19]Zhen Zhang, Wei Jiang, Yuan Zhang, Xiangwen Wang, Junjie Yang:
Rate-accuracy optimized quantization algorithm based on ROI image coding in power line inspection. Multim. Tools Appl. 83(6): 16139-16160 (2024) - [j18]Xiangwen Wang, Qiaoying Jin, Li Zou, Xianghong Lin, Yonggang Lu:
Orientation Determination of Cryo-EM Projection Images Using Reliable Common Lines and Spherical Embeddings. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 2496-2509 (2024) - [c33]Liu Yang, Xianghong Lin, Yuan Zhao, Xiangwen Wang, Xianrun He, Yaohui Zou:
An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons. CCWC 2024: 380-386 - 2023
- [j17]Li Zou, Xuemei Luo, Yan Zhang, Xiao Yang, Xiangwen Wang:
HC-DTTSVM: A Network Intrusion Detection Method Based on Decision Tree Twin Support Vector Machine and Hierarchical Clustering. IEEE Access 11: 21404-21416 (2023) - [j16]Xingcheng Ran, Yue Xi, Yonggang Lu, Xiangwen Wang, Zhenyu Lu:
Comprehensive survey on hierarchical clustering algorithms and the recent developments. Artif. Intell. Rev. 56(8): 8219-8264 (2023) - [j15]Han Lu, Xianghong Lin, Xiangwen Wang, Pangao Du:
Spike-train level supervised learning algorithm based on bidirectional modification for liquid state machines. Appl. Intell. 53(10): 12252-12267 (2023) - [j14]Xianghong Lin, Xiaomei Pi, Xiangwen Wang:
A supervised learning algorithm based on spike train inner products for recurrent spiking neural networks. Int. J. Comput. Sci. Math. 17(4): 309-319 (2023) - [j13]Zhaobin Chang, Yonggang Lu, Xingcheng Ran, Xiong Gao, Xiangwen Wang:
Few-shot semantic segmentation: a review on recent approaches. Neural Comput. Appl. 35(25): 18251-18275 (2023) - [j12]Xianghong Lin, Tiandou Hu, Xiangwen Wang:
One-Pass Online Learning Based on Gradient Descent for Multilayer Spiking Neural Networks. IEEE Trans. Cogn. Dev. Syst. 15(1): 16-31 (2023) - 2022
- [j11]Xiangwen Wang, Yonggang Lu, Xianghong Lin:
Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures. Briefings Bioinform. 23(3) (2022) - [j10]Zhaobin Chang, Yonggang Lu, Xiangwen Wang, Xingcheng Ran:
MGNet: Mutual-guidance network for few-shot semantic segmentation. Eng. Appl. Artif. Intell. 116: 105431 (2022) - [j9]Xianghong Lin, Tingyu Ren, Jie Yang, Xiangwen Wang:
Multi-objective cellular memetic algorithm. Int. J. Comput. Sci. Math. 15(3): 213-223 (2022) - [j8]Xianghong Lin, Xiaomei Pi, Xiangwen Wang, Pangao Du, Han Lu:
FPGA implementation of piecewise linear spiking neuron and simulation of cortical neurons. Microprocess. Microsystems 91: 104516 (2022) - [j7]Tiandou Hu, Xianghong Lin, Xiangwen Wang, Pangao Du:
Supervised learning algorithm based on spike optimization mechanism for multilayer spiking neural networks. Int. J. Mach. Learn. Cybern. 13(7): 1981-1995 (2022) - [c32]Xiangwen Wang, Yonggang Lu, Jianwei Li, Zequn Zhang:
Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder. BIBM 2022: 3520-3527 - 2021
- [j6]Xianghong Lin, Mengwei Zhang, Xiangwen Wang:
Supervised Learning Algorithm for Multilayer Spiking Neural Networks with Long-Term Memory Spike Response Model. Comput. Intell. Neurosci. 2021: 8592824:1-8592824:16 (2021) - [c31]Xiangwen Wang, Yonggang Lu:
Heterogeneous Cryo-EM Projection Image Classification Based on Common Lines. BIBM 2021: 163-166 - [c30]Tingyu Ren, Xianghong Lin, Xiaofei Yang, Xiangwen Wang:
FA-STDP: Feedback Alignment Learning Algorithm Using Spike Timing Dependent Plasticity. CIS 2021: 1-5 - [c29]Xianghong Lin, Tiandou Hu, Xiangwen Wang, Han Lu:
Gradient Descent Learning Algorithm Based on Spike Selection Mechanism for Multilayer Spiking Neural Networks. ICONIP (3) 2021: 40-51 - 2020
- [j5]Xiangwen Wang, Xianghong Lin, Xiaochao Dang:
Supervised learning in spiking neural networks: A review of algorithms and evaluations. Neural Networks 125: 258-280 (2020) - [j4]Xiangwen Wang, En-Hui Yang, Da-ke He, Li Song, Xiang Yu:
Rate Distortion Optimization: A Joint Framework and Algorithms for Random Access Hierarchical Video Coding. IEEE Trans. Image Process. 29: 9458-9469 (2020) - [c28]Xiangwen Wang, Zhengyi Luo, Pengbo Li, Li Song:
Learning Based Estimation of Video Coding Distortion. ISCAS 2020: 1-5 - [c27]Pangao Du, Xianghong Lin, Xiaomei Pi, Xiangwen Wang:
An Unsupervised Learning Algorithm for Deep Recurrent Spiking Neural Networks. UEMCON 2020: 603-607 - [c26]Xianghong Lin, Han Lu, Xiaomei Pi, Xiangwen Wang:
An FPGA-based Implementation Method for Quadratic Spiking Neuron Model. UEMCON 2020: 621-627
2010 – 2019
- 2019
- [c25]Xiangwen Wang, Yonggang Lu, Zhenyu Lu, Xingcheng Ran, Jiaxuan Liu:
A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM. BIBM 2019: 98-101 - [c24]Xingcheng Ran, Yonggang Lu, Xiangwen Wang, Zhenyu Lu:
Hypergraph Clustering by Generating Large Pure Hyperedges Using Greedy Neighborhood Search. FSDM 2019: 152-159 - [c23]Zhengyi Luo, Yan Huang, Xiangwen Wang, Rong Xie, Li Song:
VMAF Oriented Perceptual Optimization for Video Coding. ISCAS 2019: 1-5 - 2018
- [j3]Xianghong Lin, Zhiqiang Li, Huifang Ma, Xiangwen Wang:
An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks. Neurocomputing 273: 346-356 (2018) - [c22]Xiangwen Wang, Peng Peng, Chun Wang, Gang Wang:
You Are Your Photographs: Detecting Multiple Identities of Vendors in the Darknet Marketplaces. AsiaCCS 2018: 431-442 - [c21]Xianghong Lin, Jianyang Zheng, Xiangwen Wang, Huifang Ma:
A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks. ICONIP (4) 2018: 336-348 - [c20]Yan Huang, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang:
An MCMC based Efficient Parameter Selection Model for x265 Encoder. ISCAS 2018: 1-5 - [c19]Hao Wang, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang:
Masking Effects Based Rate Control Scheme for High Efficiency Video Coding. ISCAS 2018: 1-5 - 2017
- [j2]Xianghong Lin, Xiangwen Wang, Zhanjun Hao:
Supervised learning in multilayer spiking neural networks with inner products of spike trains. Neurocomputing 237: 59-70 (2017) - [c18]Ying Li, Xianghong Lin, Xiangwen Wang, Fanqi Shen, Zuzheng Gong:
Credit Risk Assessment Algorithm Using Deep Neural Networks with Clustering and Merging. CIS 2017: 173-176 - [c17]Xiangwen Wang, Li Song, Zhengyi Luo, Rong Xie:
Lagrangian method based Rate-Distortion Optimization revisited for dependent video coding. ICIP 2017: 3021-3025 - 2016
- [c16]Xianghong Lin, Guojun Chen, Xiangwen Wang, Huifang Ma:
An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity. ICIC (3) 2016: 44-53 - [c15]Xiangwen Wang, Xianghong Lin, Jichang Zhao, Huifang Ma:
Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains. ICIC (2) 2016: 95-104 - 2015
- [c14]Xianghong Lin, Ning Zhang, Xiangwen Wang:
An Online Supervised Learning Algorithm Based on Nonlinear Spike Train Kernels. ICIC (1) 2015: 106-115 - [c13]Jianfeng Xie, Li Song, Rong Xie, Zhengyi Luo, Xiangwen Wang:
Temporal dependent bit allocation scheme for rate control in HEVC. SiPS 2015: 1-6 - 2014
- [c12]Qingxiong Huangyuan, Li Song, Zhengyi Luo, Xiangwen Wang, Yanan Zhao:
Performance evaluation of H.265/MPEG-HEVC encoders for 4K video sequences. APSIPA 2014: 1-8 - [c11]Fangshun Mu, Li Song, Zhenyi Luo, Xiangwen Wang, Xiaokang Yang:
Speed up HEVC encoder by precoding with H.264. APSIPA 2014: 1-6 - [c10]Zhongzhu Yang, Li Song, Zhengyi Luo, Xiangwen Wang:
Low delay rate control for HEVC. BMSB 2014: 1-5 - [c9]Xianghong Lin, Xiangwen Wang, Wenbo Cui:
An Automatic Image Segmentation Algorithm Based on Spiking Neural Network Model. ICIC (1) 2014: 248-258 - 2013
- [c8]Chen Chen, Li Song, Xiangwen Wang, Meng Guo:
No-reference video quality assessment on mobile devices. BMSB 2013: 1-6 - [c7]Xiangwen Wang, Li Song, Min Chen, Jun-jie Yang:
Paralleling variable block size motion estimation of HEVC on multi-core CPU plus GPU platform. ICIP 2013: 1836-1839 - [c6]Xiangwen Wang, Li Song, Min Chen, Jun-jie Yang:
Paralleling variable block size motion estimation of HEVC on CPU plus GPU platform. ICME Workshops 2013: 1-5 - [c5]Yanan Zhao, Li Song, Xiangwen Wang, Min Chen, Jia Wang:
Efficient realization of parallel HEVC intra encoding. ICME Workshops 2013: 1-6 - [i1]Linjun Li, Xiangwen Wang:
Growth of scale-free networks under heterogeneous control. CoRR abs/1310.0547 (2013) - 2010
- [c4]Xiangwen Wang, Haiquan Wang, Yongzhong Huang:
Fast Block Edge Direction Analysis in DCT domain. WCSP 2010: 1-5
2000 – 2009
- 2009
- [j1]Xiangwen Wang, Jun Sun, Rong Xie, Songyu Yu, Wenjun Zhang:
An improved block size selection method based on macroblock movement characteristic. Multim. Tools Appl. 43(2): 131-143 (2009) - 2008
- [c3]Xiangwen Wang, Jun Sun, Rong Xie, Shibao Zheng, Songyu Yu:
Variable block size selection for a transcoder based on MB movement information. ICME 2008: 177-180 - 2007
- [c2]Xiangwen Wang, Jun Sun, Yunqiang Liu, Renjie Li:
Fast Mode Decision for H.264 Video Encoder Based on MB Motion Characteristic. ICME 2007: 372-375
1990 – 1999
- 1994
- [c1]Defu Cai, Xiangwen Wang, Huiying Liang:
Several Key Problems in Model-Based Image Sequence Compression by Using Interframe AUs Correlation. ICIP (2) 1994: 409-413
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