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2020 – today
- 2024
[j14]Tong Wu
, Yihang Ding, Shunzhi Zhang, Yangguang Liu, Jianan Yang, Lixian Zhang:
Efficient Model Predictive Control for Markov Jump Nonlinear Systems via Controllable Sets and Sum-of-Square Programming. IEEE Control. Syst. Lett. 8: 382-387 (2024)- [j13]Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao:
Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j12]Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao:
Difference Guidance Learning With Feature Alignment for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j11]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao:
Adaptive Spatial and Difference Learning for Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7447-7461 (2023) - [c16]Xueqin Lu, Yan Tang, Yangguang Liu, Xiao Zhi Gao:
A New Formulation and Solution for Allocating Emergency Supplies to Balance the Demands of Public Safety Events. ISKE 2023: 521-528 - 2022
- [j10]Huijun Tang, Jiangbo Qian, Yangguang Liu, Xiao-Zhi Gao:
Mining Statistically Significant Patterns with High Utility. Int. J. Comput. Intell. Syst. 15(1): 88 (2022) - [c15]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao:
Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection. IGARSS 2022: 1424-1427 - [c14]Kaixuan Jiang, Jia Liu, Fang Liu, Wenhua Zhang, Yangguang Liu, Jiao Shi:
Dual Unet: A Novel Siamese Network for Change Detection with Cascade Differential Fusion. IGARSS 2022: 1428-1431 - [i1]Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu:
dual unet: a novel siamese network for change detection with cascade differential fusion. CoRR abs/2208.06293 (2022) - 2021
- [c13]Xin Li, Yangguang Liu, Chen Huang, Xingyu Zhou:
Financial Time Series Prediction Based on GGM-GAN. ISKE 2021: 170-174
2010 – 2019
- 2018
- [j9]Huijun Tang, Yangguang Liu, Le Wang:
A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data. Int. J. Comput. Intell. Syst. 12(1): 342-350 (2018) - 2017
- [c12]Yangguang Liu, Yun Meng, Zhengqiu Lu, Xiao Zhi Gao:
An incremental updating method for online monitoring state-of-health of VRLA batteries. ISKE 2017: 1-7 - 2015
- [j8]Xiaoqi He, Sheng Zhang, Yangguang Liu:
An Adaptive Spectral Clustering Algorithm Based on the Importance of Shared Nearest Neighbors. Algorithms 8(2): 177-189 (2015) - 2014
- [j7]Yangguang Liu, Yangming Zhou, Shiting Wen, Chaogang Tang:
A Strategy on Selecting Performance Metrics for Classifier Evaluation. Int. J. Mob. Comput. Multim. Commun. 6(4): 20-35 (2014) - [j6]Yangming Zhou, Yangguang Liu, Jiangang Yang, Xiaoqi He, Liangliang Liu:
A Taxonomy of Label Ranking Algorithms. J. Comput. 9(3): 557-565 (2014) - [j5]Shiting Wen, Qing Li, Chaogang Tang, An Liu, Liusheng Huang, Yangguang Liu:
Processing Mutliple Requests to Construct Skyline Composite Services. J. Web Eng. 13(1&2): 53-66 (2014) - [j4]Yangming Zhou, Yangguang Liu, Xiao Zhi Gao, Guoping Qiu:
A label ranking method based on Gaussian mixture model. Knowl. Based Syst. 72: 108-113 (2014) - 2011
- [j3]Haiquan Zhao, Xiangping Zeng, Xiaoqiang Zhang, Jiashu Zhang, Yangguang Liu, Tiao Wei:
An adaptive decision feedback equalizer based on the combination of the FIR and FLNN. Digit. Signal Process. 21(6): 679-689 (2011) - [j2]Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Tianrui Li, Yangguang Liu, Da Ruan:
Pipelined functional link artificial recurrent neural network with the decision feedback structure for nonlinear channel equalization. Inf. Sci. 181(17): 3677-3692 (2011) - [j1]Haiquan Zhao, Xiangping Zeng, Jiashu Zhang, Yangguang Liu, Xiaomin Wang, Tianrui Li:
A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems. Neural Networks 24(1): 12-18 (2011) - 2010
- [c11]Xianglan Han, Yangguang Liu, Bin Xu, Gang Zhang:
Meta Web Service based Distributed Model Management and Composition Approach. ISKE 2010: 117-122 - [c10]Xiaoqi He, Yangguang Liu, Bin Xu, Xiaogang Jin:
Combining clustering coefficient-based active learning and semi-supervised learning on networked data. ISKE 2010: 305-309 - [c9]Yangguang Liu, Xiaoqi He, Bin Xu:
Evaluation and comparision of compactly supported radial basis function for kernel machine. ISKE 2010: 310-314 - [c8]Bin Xu, Yangguang Liu, Xiaoqi He, Yanping Tao:
On the architecture and address mapping mechanism of IoT. ISKE 2010: 678-682
2000 – 2009
- 2008
- [c7]Yigang Wang, Yangguang Liu, Zhuoyuan Wang, Shengli Fan, Jialin Cui:
A low complexity and high performance real-time algorithm of detecting and tracking circular shape in hole-punching machine. ISKE 2008: 604-608 - 2005
- [c6]Yangguang Liu, Qinming He:
Concept Updating with Support Vector Machines. WAIM 2005: 492-501 - 2004
- [c5]Yangguang Liu, Qi Chen, Yongchuan Tang, Qinming He:
An Incremental Updating Method for Support Vector Machines. APWeb 2004: 426-435 - [c4]Yongchuan Tang, Shouqian Sun, Yangguang Liu:
Conditional Evidence Theory and Its Application in Knowledge Discovery. APWeb 2004: 500-505 - [c3]Yongchuan Tang, Jiacheng Zheng, Yangguang Liu, Shouqian Sun:
Belief measures conditioned on random set. SMC (3) 2004: 2319-2325 - [c2]Zhengjin Xiao, Qichun Huang, Qi Chen, Yangguang Liu:
The syntactical analysis of workflow model with loop structure. SMC (5) 2004: 4911-4916 - [c1]Yangguang Liu, Qinming He, Yongchuan Tang:
Support vector pursuit learning. SMC (6) 2004: 5841-5846
Coauthor Index
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