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Yingfeng Wang
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2020 – today
- 2024
- [j21]Amin Riazi, Yingfeng Wang:
Differentiating broadcast from viral: a causal inference approach for information diffusion analysis. Appl. Intell. 54(21): 10374-10385 (2024) - [j20]Yingfeng Wang, Muyu Li, Hong Yan:
Utilizing motion segmentation for optimizing the temporal adjacency matrix in 3D human pose estimation. Neurocomputing 600: 128153 (2024) - [c19]Yingfeng Wang, Zhengwei Wang, Muyu Li, Hong Yan:
3D Human Pose Estimation with Two-step Mixed-Training Strategy. WACV 2024: 3320-3329 - 2023
- [c18]Yanzhi Fan, Haozhe Jia, Xin Wei, Qiguo Cao, Yingfeng Wang, Sen Xiang:
Semi-supervised learning with CNN for low-light images enhancement. ICBDT 2023: 391-395 - 2022
- [j19]Connie Sun, Vijayalakshmi K. Kumarasamy, Yu Liang, Dalei Wu, Yingfeng Wang:
Using a Layered Ensemble of Physics-Guided Graph Attention Networks to Predict COVID-19 Trends. Appl. Artif. Intell. 36(1) (2022) - [j18]Quan Ju, Haitao Hu, Yingfeng Wang:
Accumulating weighted segmentation in 3D face recognition. Int. J. Wirel. Mob. Comput. 22(1): 84-92 (2022) - [j17]Myungjae Kwak, Kyungwoo Kang, Yingfeng Wang:
Methods of Metabolite Identification Using MS/MS Data. J. Comput. Inf. Syst. 62(1): 12-18 (2022) - [j16]Lifeng Yin, Yingfeng Wang, Huayue Chen, Wu Deng:
An Improved Density Peak Clustering Algorithm for Multi-Density Data. Sensors 22(22): 8814 (2022) - [c17]Amin Riazi, Yingfeng Wang:
Using Topological Analysis to Investigate True and False Information Diffusion. CSCI 2022: 851-855 - [c16]Yingfeng Wang, Yi Sheng Chong, Wang Ling Goh, Anh Tuan Do:
Noise-Aware and Lightweight LSTM for Keyword Spotting Applications. ISOCC 2022: 135-136 - 2021
- [j15]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A noise injection strategy for graph autoencoder training. Neural Comput. Appl. 33(10): 4807-4814 (2021) - [c15]Meng-Hsiu Tsai, Nicole Marie Ely, Yingfeng Wang:
Uncertainty Estimation for Twitter Inference. CSCI 2021: 1437-1440 - [c14]Xiaolei Luo, Sen Xiang, Yingfeng Wang, Qiong Liu, You Yang, Kejun Wu:
Dedark+Detection: A Hybrid Scheme for Object Detection under Low-light Surveillance. MMAsia 2021: 71:1-71:5 - 2020
- [c13]Yingfeng Wang, Biyun Xu, Myungjae Kwak, Xiaoqin Zeng:
A Simple Training Strategy for Graph Autoencoder. ICMLC 2020: 341-345
2010 – 2019
- 2018
- [j14]Xiaoqin Zeng, Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang:
An Edge-based Graph Grammar Formalism and its Support System. J. Vis. Lang. Sentient Syst. 4: 11-19 (2018) - [c12]Yufeng Liu, Zhan Shi, Yingfeng Wang, Yang Zou, Jun Kong, Kang Zhang, Xiaoqin Zeng:
An Edge-based Graph Grammar Formalism and its Support System. DMSVIVA 2018: 101-108 - 2014
- [j13]Changhui Yan, Yingfeng Wang:
A graph kernel method for DNA-binding site prediction. BMC Syst. Biol. 8(S-4): S10 (2014) - 2013
- [j12]Yingfeng Wang, Tae-Hyuk Ahn, Zhou Li, Chongle Pan:
Sipros/ProRata: a versatile informatics system for quantitative community proteomics. Bioinform. 29(16): 2064-2065 (2013) - [j11]Xuna Miao, Ran Liu, Yingfeng Wang:
A Network Evaluation Algorithm in Heterogeneous Wireless Networks. J. Networks 8(11): 2473-2477 (2013) - 2012
- [j10]Yingfeng Wang, Amir Manzour, Pooya Shareghi, Timothy I. Shaw, Ying-Wai Li, Russell L. Malmberg, Liming Cai:
Stable stem enabled Shannon entropies distinguish non-coding RNAs from random backgrounds. BMC Bioinform. 13(S-5): S1 (2012) - 2011
- [j9]Leilei Guo, Dong Zhang, Yingfeng Wang, Russell L. Malmberg, Michael J. McEachern, Liming Cai:
TRFolder: computational prediction of novel telomerase RNA structures in yeast genomes. Int. J. Bioinform. Res. Appl. 7(1): 63-81 (2011) - [j8]Timothy I. Shaw, Amir Manzour, Yingfeng Wang, Russell L. Malmberg, Liming Cai:
Analyzing Modular RNA Structure reveals Low Global Structural Entropy in microRNA Sequence. J. Bioinform. Comput. Biol. 9(2): 283-298 (2011) - [c11]Pooya Shareghi, Yingfeng Wang, Russell L. Malmberg, Liming Cai:
Simultaneous Prediction of RNA Secondary Structure and Helix Coaxial Stacking. BIBM 2011: 89-95 - [c10]Yingfeng Wang, Amir Manzour, Pooya Shareghi, Timothy I. Shaw, Ying-Wai Li, Russell L. Malmberg, Liming Cai:
Stable stem enabled shannon entropies distinguish non-coding RNAs from random backgrounds. ICCABS 2011: 184-189 - 2010
- [c9]Yingfeng Wang, Zhijing Liu, Wei Yan:
Algorithms for Random Adjacency Matrixes Generation Used for Scheduling Algorithms Test. MVHI 2010: 422-424
2000 – 2009
- 2009
- [j7]Yingfeng Wang, Zhibin Huang, Yong Wu, Russell L. Malmberg, Liming Cai:
RNATOPS-W: a web server for RNA structure searches of genomes. Bioinform. 25(8): 1080-1081 (2009) - [j6]Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong:
A sensitivity-based approach for pruning architecture of Madalines. Neural Comput. Appl. 18(8): 957-965 (2009) - [c8]Hokyin Lai, Yingfeng Wang, Huaiqing Wang:
Bayesian Network Based Multi-Agent System for Target Selection Process in Hedge Fund Activism. AMCIS 2009: 324 - 2008
- [j5]Changhui Yan, Jing Hu, Yingfeng Wang:
Discrimination of outer membrane proteins with improved performance. BMC Bioinform. 9 (2008) - [c7]Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Yingfeng Wang:
Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation. ICDM Workshops 2008: 635-642 - 2007
- [j4]Shijia Gao, Huaiqing Wang, Dongming Xu, Yingfeng Wang:
An intelligent agent-assisted decision support system for family financial planning. Decis. Support Syst. 44(1): 60-78 (2007) - [c6]Yingfeng Wang, Dongming Xu, Huaiqing Wang, Kang Ye, Shijia Gao:
Agent-oriented ontology for monitoring and detecting money laundering process. Infoscale 2007: 81 - 2006
- [j3]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung, Zhihang Peng:
Computation of Madalines' Sensitivity to Input and Weight Perturbations. Neural Comput. 18(11): 2854-2877 (2006) - [j2]Xiaoqin Zeng, Yingfeng Wang, Kang Zhang:
Computation of Adalines' sensitivity to weight perturbation. IEEE Trans. Neural Networks 17(2): 515-519 (2006) - [c5]Shijia Gao, Huaiqing Wang, Dongming Xu, Yingfeng Wang, Wenqi Shen, Siubun Yeung:
Intelligent Decision Support for Family Financial Planning. HICSS 2006 - [c4]Yingfeng Wang, Xiaoqin Zeng:
Using a Sensitivity Measure to Improve Training Accuracy and Convergence for Madalines. IJCNN 2006: 771-777 - 2005
- [j1]Shijia Gao, Huaiqing Wang, Yingfeng Wang, Wenqi Shen, Siubun Yeung:
Web-service-agents-based family wealth management system. Expert Syst. Appl. 29(1): 219-228 (2005) - [c3]Yingfeng Wang, Xiaoqin Zeng, Daniel S. Yeung:
Sensitivity Analysis of Madalines to Weight Perturbation. ICMLC 2005: 822-831 - [c2]Yingfeng Wang, Huaiqing Wang, Jingjing Deng, Xuemei Zhao, Kayeung Yung, Shijia Gao:
Web-service-agents-based Securities Trading Simulation System. PACIS 2005: 32 - 2004
- [c1]Shijia Gao, Dongming Xu, Yingfeng Wang, Huaiqing Wang:
Development of a Web-service-agents-based Family Wealth Management System. AMCIS 2004: 219
Coauthor Index
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