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2020 – today
- 2024
[j52]Jiaqi Zhao, Ying Chen, Yufeng Zhong, Yong Zhou, Rui Yao, Lixu Zhang, Shixiong Xia:
Filter pruning based on evolutionary algorithms for person re-identification. Multim. Tools Appl. 83(11): 32569-32586 (2024)- 2023
- [j51]Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu, Hao Chen:
Adversarial learning-based skeleton synthesis with spatial-channel attention for robust gait recognition. Multim. Tools Appl. 82(1): 1489-1504 (2023) - 2022
- [j50]Dongjun Zhu, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Ying Chen:
Spatial hierarchy perception and hard samples metric learning for high-resolution remote sensing image object detection. Appl. Intell. 52(3): 3193-3208 (2022) - [j49]Zhongqiu Wang, Shixiong Xia, Fengrong Zhang:
Further study on indecomposable cryptographic functions. Frontiers Comput. Sci. 17(2): 172803 (2022) - [j48]Jiaqi Wang, Bing Liu
, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Yuancan Yang, Man Zhang, Liu Ming Ming:
Semisupervised Multiscale Generative Adversarial Network for Semantic Segmentation of Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j47]Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu, Dongjingdian Liu:
ResT-ReID: Transformer block-based residual learning for person re-identification. Pattern Recognit. Lett. 157: 90-96 (2022) - 2021
- [j46]Chaogang Tang, Shixiong Xia, Qing Li, Wei Chen, Weidong Fang:
Resource pooling in vehicular fog computing. J. Cloud Comput. 10(1): 19 (2021) - [j45]Man Zhang, Yong Zhou, Jiaqi Zhao, Shixiong Xia, Jiaqi Wang, Zizheng Huang:
Semi-supervised blockwisely architecture search for efficient lightweight generative adversarial network. Pattern Recognit. 112: 107794 (2021) - 2020
- [j44]Shishi Liu, Fengrong Zhang, Enes Pasalic, Shixiong Xia, Zepeng Zhuo:
Further study on constructing bent functions outside the completed Maiorana-McFarland class. IET Inf. Secur. 14(6): 654-660 (2020) - [j43]Dongjun Zhu, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Meng Jian, Qiang Niu, Rui Yao, Ying Chen:
Diverse sample generation with multi-branch conditional generative adversarial network for remote sensing objects detection. Neurocomputing 381: 40-51 (2020) - [j42]Ying Chen, Shixiong Xia, Jiaqi Zhao, Meng Jian, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu:
Person image synthesis through siamese generative adversarial network. Neurocomputing 417: 490-500 (2020) - [j41]Ying Chen, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Dongjun Zhu:
Appearance and shape based image synthesis by conditional variational generative adversarial network. Knowl. Based Syst. 193: 105450 (2020) - [j40]Dongjun Zhu, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Qiang Niu, Rui Yao, Ying Chen:
Fusion based feature reinforcement component for remote sensing image object detection. Multim. Tools Appl. 79(47): 34973-34992 (2020) - [j39]Rui Yao, Cunyuan Gao, Shixiong Xia, Jiaqi Zhao, Yong Zhou, Fuyuan Hu:
GAN-based person search via deep complementary classifier with center-constrained Triplet loss. Pattern Recognit. 104: 107350 (2020) - [j38]Xuexuan Hao, Fengrong Zhang, Shixiong Xia, Yong Zhou:
Quantum algorithms for learning the algebraic normal form of quadratic Boolean functions. Quantum Inf. Process. 19(8): 273 (2020) - [j37]Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. ACM Trans. Intell. Syst. Technol. 11(4): 36:1-36:47 (2020)
2010 – 2019
- 2019
- [j36]Chaogang Tang, Shixiong Xia, Chunsheng Zhu, Xianglin Wei:
Phase Timing Optimization for Smart Traffic Control Based on Fog Computing. IEEE Access 7: 84217-84228 (2019) - [j35]Fanrong Meng, Guan Yuan, Shaoqian Lv, Zhixiao Wang, Shixiong Xia:
An overview on trajectory outlier detection. Artif. Intell. Rev. 52(4): 2437-2456 (2019) - [j34]Ying Chen, Ming Li, Pengpeng Chen, Shixiong Xia:
Survey of cross-technology communication for IoT heterogeneous devices. IET Commun. 13(12): 1709-1720 (2019) - [i2]Rui Yao, Guosheng Lin, Shixiong Xia, Jiaqi Zhao, Yong Zhou:
Video Object Segmentation and Tracking: A Survey. CoRR abs/1904.09172 (2019) - 2018
- [j33]Jiaqi Zhao, Licheng Jiao, Fang Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich:
3D fast convex-hull-based evolutionary multiobjective optimization algorithm. Appl. Soft Comput. 67: 322-336 (2018) - [j32]Jiaqi Zhao, Licheng Jiao, Shixiong Xia, Vitor Basto-Fernandes, Iryna Yevseyeva, Yong Zhou, Michael T. M. Emmerich:
Multiobjective sparse ensemble learning by means of evolutionary algorithms. Decis. Support Syst. 111: 86-100 (2018) - [j31]Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou, Kejian Song:
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network. J. Comput. Biol. 25(3): 361-373 (2018) - [j30]Lei Wang, Zhu-Hong You, Shixiong Xia, Xing Chen, Xin Yan, Yong Zhou, Feng Liu:
An improved efficient rotation forest algorithm to predict the interactions among proteins. Soft Comput. 22(10): 3373-3381 (2018) - [j29]Fengrong Zhang, Yongzhuang Wei, Enes Pasalic, Shixiong Xia:
Large Sets of Disjoint Spectra Plateaued Functions Inequivalent to Partially Linear Functions. IEEE Trans. Inf. Theory 64(4): 2987-2999 (2018) - [c14]Hongjian Zhao, Shixiong Xia, Jiaqi Zhao, Dongjun Zhu, Rui Yao, Qiang Niu:
Pareto-Based Many-Objective Convolutional Neural Networks. WISA 2018: 3-14 - [c13]Zhenguo Gao, Shixiong Xia, Jiaqi Zhao:
Texture Image Segmentation Based on Stationary Directionlet Domain Probabilistic Graphical Model. Edutainment 2018: 398-405 - 2017
- [j28]Guan Yuan, Jie Zhao, Shixiong Xia, Yanmei Zhang, Wen Li:
Multi-granularity periodic activity discovery for moving objects. Int. J. Geogr. Inf. Sci. 31(3): 435-462 (2017) - [j27]Fengrong Zhang, Shixiong Xia, Yupu Hu, Min Xie:
Constructions of involutions with optimal minimum degree. IET Inf. Secur. 11(5): 261-266 (2017) - [j26]Shixiong Xia, Yi Liu, Guan Yuan, Mingjun Zhu, Zhaohui Wang:
Indoor Fingerprint Positioning Based on Wi-Fi: An Overview. ISPRS Int. J. Geo Inf. 6(5): 135 (2017) - [j25]Rui Yao, Shixiong Xia, Zhen Zhang, Yanning Zhang:
Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation With Structure Preserving. IEEE Trans. Multim. 19(4): 772-784 (2017) - [j24]Pengpeng Chen, Hongjin Lv, Shouwan Gao, Qiang Niu, Shixiong Xia:
A Real-Time Taxicab Recommendation System Using Big Trajectories Data. Wirel. Commun. Mob. Comput. 2017 (2017) - [c12]Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou:
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network. ISBRA 2017: 46-58 - [i1]Qiuyan Yan, Shixiong Xia, Fanrong Meng:
Optimizing Cost-Sensitive SVM for Imbalanced Data : Connecting Cluster to Classification. CoRR abs/1702.01504 (2017) - 2016
- [j23]Fengrong Zhang, Shixiong Xia, Pantelimon Stanica, Yu Zhou:
Further results on constructions of generalized bent Boolean functions. Sci. China Inf. Sci. 59(5): 059102:1-059102:3 (2016) - [j22]Rui Yao, Shixiong Xia, Yong Zhou, Qiang Niu:
Robust lifelong visual tracking using compact binary feature with color attributes. Neurocomputing 213: 172-182 (2016) - [j21]Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou:
Manifold regularized extreme learning machine. Neural Comput. Appl. 27(2): 255-269 (2016) - [j20]Rui Yao, Shixiong Xia, Fumin Shen, Yong Zhou, Qiang Niu:
Exploiting Spatial Structure from Parts for Adaptive Kernelized Correlation Filter Tracker. IEEE Signal Process. Lett. 23(5): 658-662 (2016) - 2015
- [j19]Shixiong Xia, Fanrong Meng, Bing Liu, Yong Zhou:
A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning. Cogn. Comput. 7(1): 74-85 (2015) - [j18]Wen Li, Shixiong Xia, Feng Liu, Lei Zhang:
Hybrid Markov Location Prediction Algorithm Based on Dynamic Social Ties. IEICE Trans. Inf. Syst. 98-D(8): 1456-1464 (2015) - [j17]Bing Liu, Shixiong Xia, Fanrong Meng, Yong Zhou:
Extreme spectral regression for efficient regularized subspace learning. Neurocomputing 149: 171-179 (2015) - [j16]Yong Zhou, Beizuo Liu, Shixiong Xia, Bing Liu:
Semi-supervised extreme learning machine with manifold and pairwise constraints regularization. Neurocomputing 149: 180-186 (2015) - [j15]Rui Yao, Shixiong Xia, Yong Zhou:
Robust tracking via online Max-Margin structural learning with approximate sparse intersection kernel. Neurocomputing 157: 344-355 (2015) - [j14]Hongjian Zhao, Shixiong Xia, Rui Yao, Qiang Niu, Yong Zhou:
Real-time video fusion based on multistage hashing and hybrid transformation with depth adjustment. J. Electronic Imaging 24(6): 063023 (2015) - 2014
- [j13]Qiang Niu, Weiwei Bao, Shixiong Xia:
An Improved Group-Based Neighbor Discovery Algorithm for Mobile Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - 2013
- [j12]Chen Zhang, Shixiong Xia, Bing Liu, Lei Zhang:
Extreme Maximum Margin Clustering. IEICE Trans. Inf. Syst. 96-D(8): 1745-1753 (2013) - [j11]Zhizheng Liang, Shixiong Xia, Yong Zhou:
Normalized discriminant analysis for dimensionality reduction. Neurocomputing 110: 153-159 (2013) - [j10]Bing Liu, Shixiong Xia, Yong Zhou:
Multiple Kernel Spectral Regression for Dimensionality Reduction. J. Appl. Math. 2013: 427462:1-427462:8 (2013) - [j9]Chu-Jiao Wang, Shixiong Xia, Yong Zhou:
Semantic Artificial Immune Model for Fault Diagnosis. J. Comput. 8(8): 2059-2068 (2013) - [j8]Bing Liu, Shixiong Xia, Yong Zhou:
Unsupervised non-parametric kernel learning algorithm. Knowl. Based Syst. 44: 1-9 (2013) - [j7]Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang:
Training Lp norm multiple kernel learning in the primal. Neural Networks 46: 172-182 (2013) - [j6]Zhizheng Liang, Youfu Li, Shixiong Xia:
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence. Pattern Recognit. 46(4): 1209-1219 (2013) - [j5]Zhizheng Liang, Shixiong Xia, Yong Zhou, Lei Zhang, Youfu Li:
Feature extraction based on Lp-norm generalized principal component analysis. Pattern Recognit. Lett. 34(9): 1037-1045 (2013) - [c11]Zhizheng Liang, Shixiong Xia, Jin Liu, Yong Zhou, Lei Zhang:
A Majorization-Minimization Approach to Lq Norm Multiple Kernel Learning. ACPR 2013: 366-370 - 2012
- [j4]Zhanguo Xia, Shixiong Xia, Ling Wan, Shiyu Cai:
Spectral Regression Based Fault Feature Extraction for Bearing Accelerometer Sensor Signals. Sensors 12(10): 13694-13719 (2012) - 2011
- [j3]Zhizheng Liang, Shixiong Xia, Yong Zhou, Youfu Li:
Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications. Pattern Recognit. 44(10-11): 2774-2785 (2011) - [c10]Zhanguo Xia, Wentao Zhang, Shiyu Cai, Shixiong Xia:
Multi-relational Data Semi-supervised K-Means Clustering Algorithm. AICI (1) 2011: 413-420
2000 – 2009
- 2009
- [j2]Yong Zhou, Youwen Li, Shixiong Xia:
An Improved KNN Text Classification Algorithm Based on Clustering. J. Comput. 4(3): 230-237 (2009) - [c9]Qiang Niu, Shixiong Xia, Lei Zhang:
Association Classification Based on Compactness of Rules. WKDD 2009: 245-247 - [c8]Chen Zhang, Shixiong Xia:
K-means Clustering Algorithm with Improved Initial Center. WKDD 2009: 790-792 - 2008
- [c7]Lei Zhang, Shixiong Xia, Shifei Ding, Yong Zhou, Qiulin Ding:
User Knowledge Requirement Model and its Hybrid Evolution Algorithm. ITNG 2008: 817-822 - [c6]Lei Zhang, Shixiong Xia, Zhanguo Xia, Yong Zhou:
Study on Ontology Partition Based on Ant Colony Algorithm. SNPD 2008: 73-78 - [c5]Shixiong Xia, Yue'e Li, Yong Zhou:
Interval Attributes Description Based FCM Clustering Algorithm for Noisy Data. WKDD 2008: 667-670 - 2007
- [j1]Shi-Fei Ding, Shixiong Xia, Fengxiang Jin, Zhong-Zhi Shi:
Novel fuzzy information proximity measures. J. Inf. Sci. 33(6): 678-685 (2007) - [c4]Shifei Ding, Zhongzhi Shi, Shixiong Xia, Fengxiang Jin:
Studies on Fuzzy Information Measures. FSKD (3) 2007: 376-380 - [c3]Maoguang Wang, Zhongzhi Shi, Shixiong Xia, Shifei Ding:
Agent Grid Collaborative Schema Based on Policy. ICIC (3) 2007: 469-478 - [c2]Shifei Ding, Wei Ning, Fengxiang Jin, Shixiong Xia, Zhongzhi Shi:
Supervised Information Feature Compression Algorithm Based on Divergence Criterion. ICIC (2) 2007: 919-925 - [c1]ZhengWei Li, Shixiong Xia, Niuqiang, Zhanguo Xia:
Coal Thickness Prediction Based on Support Vector Machine Regression. SNPD (2) 2007: 379-383
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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