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2020 – today
- 2024
[j22]Wenbo Qi
, Xiaobing Pei, Heng Zhao:
A semiconductor wafer manufacturing system scheduling start-up and decision mechanism considering bottleneck drift characteristics. Comput. Ind. Eng. 193: 110303 (2024)- [j21]Haoxi Zhan, Xiaobing Pei:
Dealing with the unevenness: deeper insights in graph-based attack and defense. Mach. Learn. 113(5): 2921-2953 (2024) - [j20]Yidi Wang, Xiaobing Pei, Haoxi Zhan:
Fine-Grained Graph Learning for Multi-View Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2804-2815 (2024) - [c14]Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei:
Transferable Adversarial Facial Images for Privacy Protection. ACM Multimedia 2024: 10649-10658 - [i11]Aijia Liu, Shiqing Liu, Xiaobing Pei:
Deeper and Wider Networks for Performance Metrics Prediction in Communication Networks. CoRR abs/2401.00429 (2024) - [i10]Yingying He, Xiaobing Pei, Lihong Shen:
Semi-supervised learning via DQN for log anomaly detection. CoRR abs/2401.03151 (2024) - [i9]Xiaobing Pei, Rongping Ye, Haoran Yang, Ruiqi Wang:
Hyperedge Interaction-aware Hypergraph Neural Network. CoRR abs/2401.15587 (2024) - [i8]Haoran Yang, Xiaobing Pei, Kai Yuan:
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs. CoRR abs/2406.00764 (2024) - [i7]Minghui Li, Jiangxiong Wang, Hao Zhang, Ziqi Zhou, Shengshan Hu, Xiaobing Pei:
Transferable Adversarial Facial Images for Privacy Protection. CoRR abs/2408.01428 (2024) - 2023
- [j19]He Tang, Xiaobing Pei, Xinzhe Li, Haihui Tong, Xin Li, Shilong Huang:
End-to-end multi-domain neural networks with explicit dropout for automated bone age assessment. Appl. Intell. 53(4): 3736-3749 (2023) - [i6]Xiaobing Pei, Haoran Yang, Gang Shen:
HC-Ref: Hierarchical Constrained Refinement for Robust Adversarial Training of GNNs. CoRR abs/2312.04879 (2023) - 2022
- [j18]Min Dai, Xiaobing Pei, Xiu-Jie Wang:
Accurate and fast cell marker gene identification with COSG. Briefings Bioinform. 23(2) (2022) - [j17]Lin Wan, Chengbin Dong, Xiaobing Pei:
Self-paced learning-based multi-graphs semi-supervised learning. Multim. Tools Appl. 81(5): 7025-7046 (2022) - [c13]Qichang Wan, Peisen Wang, Xiaobing Pei:
CGDF-GNN: Cascaded GNN fraud detector with dual features facing imbalanced graphs with camouflaged fraudsters. TrustCom 2022: 258-265 - [i5]Yidi Wang, Xiaobing Pei, Haoxi Zhan:
Fine-grained Graph Learning for Multi-view Subspace Clustering. CoRR abs/2201.04604 (2022) - [i4]Mingwei Zhou, Xiaobing Pei:
Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution. CoRR abs/2209.02406 (2022) - 2021
- [c12]Haoxi Zhan, Xiaobing Pei:
FHA: Fast Heuristic Attack Against Graph Convolutional Networks. DS 2021: 151-165 - [c11]Ruiyuan Li, Zehui Song, Wei Xie, Chengwei Zhang, Guohui Zhong, Xiaobing Pei:
HALNet: A Hybrid Deep Learning Model for Encrypted C&C Malware Traffic Detection. NSS 2021: 326-339 - [c10]Wei Wan, Jianrong Lu, Shengshan Hu, Leo Yu Zhang, Xiaobing Pei:
Shielding Federated Learning: A New Attack Approach and Its Defense. WCNC 2021: 1-7 - [i3]Haoxi Zhan, Xiaobing Pei:
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense. CoRR abs/2104.15061 (2021) - 2020
- [j16]He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu:
Automatic Lumbar Spinal CT Image Segmentation With a Dual Densely Connected U-Net. IEEE Access 8: 89228-89238 (2020) - [i2]Haoxi Zhan, Xiaobing Pei:
I-GCN: Robust Graph Convolutional Network via Influence Mechanism. CoRR abs/2012.06110 (2020)
2010 – 2019
- 2019
- [j15]Xiaobing Pei, Junjun Zou, Weiya Chen:
Graph Learning Via Edge Constrained Sparse Representation for Image Analysis. IEEE Access 7: 42408-42417 (2019) - [j14]Xiaobing Pei, Tao Dong, Yue Guan:
Super-Resolution of Face Images Using Weighted Elastic Net Constrained Sparse Representation. IEEE Access 7: 55180-55190 (2019) - [i1]He Tang, Xiaobing Pei, Shilong Huang, Xin Li, Chao Liu:
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net. CoRR abs/1910.09198 (2019) - 2018
- [j13]Xiaobing Pei, Yue Guan, Pingping Cai, Tao Dong:
Face Hallucination via Gradient Constrained Sparse Representation. IEEE Access 6: 4577-4586 (2018) - [j12]He Tang, Chuanbo Chen, Xiaobing Pei:
Saliency detection from one time sampling for eye fixation prediction. Multim. Tools Appl. 77(1): 165-184 (2018) - [j11]Xiaobing Pei, Chuanbo Chen, Weihua Gong:
Concept Factorization With Adaptive Neighbors for Document Clustering. IEEE Trans. Neural Networks Learn. Syst. 29(2): 343-352 (2018) - 2017
- [j10]Zehua Lyu, Xuping Tu, Xiaobing Pei, Hu Liang, Mudar Sarem:
Netlet: A simple and versatile network middleware for peer-to-peer application program. Comput. Electr. Eng. 59: 1-14 (2017) - [j9]Xiaobing Pei, Yuntao Wu:
Neighbors isometric embedding nonnegative matrix factorization for image representation. Multidimens. Syst. Signal Process. 28(2): 529-547 (2017) - [j8]Xiaobing Pei, Chuanbo Chen, Yue Guan:
Joint Sparse Representation and Embedding Propagation Learning: A Framework for Graph-Based Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 28(12): 2949-2960 (2017) - [j7]Jun Shang, Chuanbo Chen, Xiaobing Pei, Hu Liang, He Tang, Mudar Sarem:
A novel local derivative quantized binary pattern for object recognition. Vis. Comput. 33(2): 221-233 (2017) - 2016
- [j6]Chuanbo Chen, Hu Liang, Shengrong Zhao, Zehua Lyu, Shaohong Fang, Xiaobing Pei:
Integrating the Missing Information Estimation into Multi-frame Super-Resolution. Circuits Syst. Signal Process. 35(4): 1213-1238 (2016) - [j5]He Tang, Chuanbo Chen, Xiaobing Pei:
Visual Saliency Detection via Sparse Residual and Outlier Detection. IEEE Signal Process. Lett. 23(12): 1736-1740 (2016) - 2015
- [j4]Jun Shang, Chuanbo Chen, Xiaobing Pei, Hu Liang, He Tang, Mudar Sarem:
Robust image region descriptor using local derivative ordinal binary pattern. J. Electronic Imaging 24(3): 033009 (2015) - [j3]Xiaobing Pei, Zehua Lyu, Changqing Chen, Chuanbo Chen:
Manifold Adaptive Label Propagation for Face Clustering. IEEE Trans. Cybern. 45(8): 1681-1691 (2015) - [c9]Xiaobing Pei, Changqing Chen, Weihua Gong:
Virtual Label Constraint Nonnegative Matrix Factorization. FSKD 2015: 460-464 - [c8]Xiaobing Pei, Changqing Chen, Weihua Gong:
Virtual label constraint Nonnegative Matrix Factorization. FSKD 2015: 959-963 - 2014
- [j2]Xiaobing Pei, Tao Wu, Chuanbo Chen:
Automated Graph Regularized Projective Nonnegative Matrix Factorization for Document Clustering. IEEE Trans. Cybern. 44(10): 1821-1831 (2014) - 2013
- [j1]Tao Wu, Xiaobing Pei, Yongzhong Lu, Changqing Chen, Liang Gao:
A distributed collaborative product design environment based on semantic norm model and role-based access control. J. Netw. Comput. Appl. 36(6): 1431-1440 (2013) - [c7]Xiaobing Pei, Tao Wu:
Convex-Nonnegative Matrix Factorization with structure constraints. FSKD 2013: 456-460 - [c6]Xiaobing Pei, Zehua Lv, Changqing Chen:
Sparse manifold embedding Tri-factor Nonnegative Matrix Factorization. GrC 2013: 231-235 - 2012
- [c5]Tao Wu, Ke Lin, Jianjie Wu, Xiaobing Pei, Qiang Peng:
A top-down design process oriented adaptive conceptual layout design environment based on semantic norm model. CSCWD 2012: 800-804 - 2010
- [c4]Xiaobing Pei, Shaohong Fang, Chuanbo Chen:
Group locality preserving orthogonal nonnegative matrix factorization. FSKD 2010: 2086-2088 - [c3]Wenting Tang, Xiaobing Pei:
The Application of Six Sigma Method in F Bank. ICEE 2010: 2824-2827
2000 – 2009
- 2005
- [c2]Xiaobing Pei, Yuanzhen Wang:
A Heuristic Algorithm for Maximum Distribution Reduction. FSKD (1) 2005: 1297-1302 - [c1]Xiaobing Pei, Yuanzhen Wang:
Knowledge Reduction of Rough Set Based on Partition. IDEAL 2005: 48-55
Coauthor Index
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