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Zhiquan Qi
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2020 – today
- 2024
- [j50]Mengjin Lyu, Jie Yang, Zhiquan Qi, Ruijie Xu, Jiabin Liu:
Rigid pairwise 3D point cloud registration: A survey. Pattern Recognit. 151: 110408 (2024) - [j49]Kai Li
, Jie Yang, Siwei Ma
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 25(1): 237-250 (2024) - 2023
- [j48]Shiding Sun
Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. 80(Part): 104278 (2023) - [j47]Yong Shi, Mengyu Shang, Zhiquan Qi:
Intelligent layout generation based on deep generative models: A comprehensive survey. Inf. Fusion 100: 101940 (2023) - [j46]Kai Li
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. 53(2): 1051-1062 (2023) - [j45]Jiabin Liu
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8377-8388 (2023) - 2022
- [j44]Yong Shi
A Conditional Deep Framework for Automatic Layout Generation. IEEE Access 10: 86092-86100 (2022) - [j43]Yingjie Tian
Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing 483: 370-385 (2022) - [j42]Jiabin Liu, Zhiquan Qi, Bo Wang
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129: 108767 (2022) - [j41]Jie Yang, Yong Shi, Zhiquan Qi:
Learning deep feature correspondence for unsupervised anomaly detection and segmentation. Pattern Recognit. 132: 108874 (2022) - [c31]Linzi Zhang, Jiayu Xue, Mengyu Shang, Zhiquan Qi:
Credit and guarantee insurance: A consistent pricing approach in supply chain finance. ITQM 2022: 1256-1261 - 2021
- [j40]Biao Li
RGSR: A two-step lossy JPG image super-resolution based on noise reduction. Neurocomputing 419: 322-334 (2021) - [j39]Yong Shi, Jie Yang
Unsupervised anomaly segmentation via deep feature reconstruction. Neurocomputing 424: 9-22 (2021) - [j38]Fenfen Zhou
Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2192-2205 (2021) - [c30]Xiang Gao
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI 2021: 678-684 - [c29]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. IJCAI 2021: 2737-2743 - [c28]Linzi Zhang, Zhiquan Qi, Fan Meng:
A Review on the Construction of Business Intelligence System Based on Unstructured Image Data. ITQM 2021: 392-398 - [c27]Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi:
Visual Anomaly Detection for Images: A Systematic Survey. ITQM 2021: 471-478 - [c26]Mengyu Shang, Yuan Li
Review of monopoly models and implications for antitrust. ITQM 2021: 495-502 - [i9]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. CoRR abs/2105.10635 (2021) - [i8]Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi:
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR abs/2106.15510 (2021) - [i7]Kai Li, Yingjie Tian, Zhiquan Qi:
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR abs/2109.05707 (2021) - [i6]Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi:
Visual Anomaly Detection for Images: A Survey. CoRR abs/2109.13157 (2021) - 2020
- [j37]Jianbo Feng
Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering. IEEE Access 8: 81055-81068 (2020) - [j36]Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi:
Token based crack detection. J. Intell. Fuzzy Syst. 38(3): 3501-3513 (2020) - [j35]Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
Deep learning from label proportions with labeled samples. Neural Networks 128: 73-81 (2020) - [j34]Yingjie Tian
CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. 27: 1615-1619 (2020) - [j33]Zhiquan Qi, Yingjie Tian
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8(2): 532-538 (2020) - [j32]Biao Li
s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. 29: 8368-8380 (2020) - [j31]Xiang Gao
RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. 29: 8706-8720 (2020) - [c25]Jie Yang
Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI 2020: 12605-12612 - [i5]Jie Yang, Zhiquan Qi, Yong Shi:
Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR abs/2002.04170 (2020) - [i4]Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi:
Concatenated Attention Neural Network for Image Restoration. CoRR abs/2006.11162 (2020) - [i3]Jie Yang, Yong Shi, Zhiquan Qi:
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR abs/2012.07122 (2020)
2010 – 2019
- 2019
- [j30]Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi:
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10(1): 187-205 (2019) - [j29]Zhensong Chen, Yong Shi, Zhiquan Qi
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91: 13-24 (2019) - [c24]Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu:
A Novel Texture Generation Super Resolution Model. ITQM 2019: 924-931 - [c23]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS 2019: 7167-7177 - [i2]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. CoRR abs/1909.02180 (2019) - [i1]Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi:
s-LWSR: Super Lightweight Super-Resolution Network. CoRR abs/1909.10774 (2019) - 2018
- [j28]Fan Meng, Zhiquan Qi, Yingjie Tian
Pedestrian detection based on the privileged information. Neural Comput. Appl. 29(12): 1485-1494 (2018) - [j27]Yong Shi, Jiabin Liu, Zhiquan Qi
Learning from label proportions on high-dimensional data. Neural Networks 103: 9-18 (2018) - [j26]Zhiquan Qi
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3548-3559 (2018) - [c22]Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen:
A Survey on Semantic Segmentation. ICDM Workshops 2018: 1233-1240 - [c21]Yong Shi, Jiabin Liu, Zhiquan Qi:
Inverse Convolutional Neural Networks for Learning from Label Proportions. WI 2018: 643-646 - 2017
- [j25]Zhensong Chen, Zhiquan Qi
Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. 119: 126-141 (2017) - [j24]Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui:
A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. Neural Comput. Appl. 28(S-1): 29-39 (2017) - [j23]Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
Support vector machine classifier with truncated pinball loss. Pattern Recognit. 68: 199-210 (2017) - [j22]Lingfeng Niu, Ruizhi Zhou, Yingjie Tian
Nonsmooth Penalized Clustering via ℓp Regularized Sparse Regression. IEEE Trans. Cybern. 47(6): 1423-1433 (2017) - [j21]Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu
Learning With Label Proportions via NPSVM. IEEE Trans. Cybern. 47(10): 3293-3305 (2017) - 2016
- [j20]Zhiquan Qi, Bo Wang, Yingjie Tian
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. Knowl. Based Syst. 107: 54-60 (2016) - [j19]Yong Shi
Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. 17(12): 3434-3445 (2016) - 2015
- [j18]Zhiquan Qi, Yingjie Tian
Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. 6(4): 667-676 (2015) - [j17]Zhiquan Qi, Yingjie Tian
Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 26(4): 674-683 (2015) - [c20]Xuchan Ju, Yingjie Tian
Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. ICCS 2015: 1574-1582 - [c19]Zhiquan Qi, Yingjie Tian
Pedestrian Detection Using Privileged Information. ICDM Workshops 2015: 1185-1188 - [c18]Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi:
Supervised Object Boundary Detection Based on Structured Forests. ICDS 2015: 87-94 - [c17]Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi:
Pavement Distress Detection Using Random Decision Forests. ICDS 2015: 95-102 - [c16]Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi:
Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM 2015: 1015-1022 - [c15]Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi:
Smoothing Trust Region for Digital Image Restoration. WI-IAT (3) 2015: 40-43 - [c14]Bo Wang, Zhensong Chen, Zhiquan Qi:
Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) 2015: 56-59 - 2014
- [j16]Zhiquan Qi, Yingjie Tian
A multi-instance learning algorithm based on nonparallel classifier. Appl. Math. Comput. 241: 233-241 (2014) - [j15]Zhiquan Qi, Yingjie Tian
A new classification model using privileged information and its application. Neurocomputing 129: 146-152 (2014) - [j14]Zhiquan Qi, Yingjie Tian
A nonparallel support vector machine for a classification problem with universum learning. J. Comput. Appl. Math. 263: 288-298 (2014) - [j13]Zhiquan Qi, Yingjie Tian
Regularized multiple-criteria linear programming with universum and its application. Neural Comput. Appl. 24(3-4): 621-628 (2014) - [j12]Yingjie Tian
Efficient sparse nonparallel support vector machines for classification. Neural Comput. Appl. 24(5): 1089-1099 (2014) - [j11]Zhijie Xu, Zhiquan Qi, Jianqin Zhang:
Learning with positive and unlabeled examples using biased twin support vector machine. Neural Comput. Appl. 25(6): 1303-1311 (2014) - [j10]Yingjie Tian
Nonparallel Support Vector Machines for Pattern Classification. IEEE Trans. Cybern. 44(7): 1067-1079 (2014) - [c13]Ying Zhang, Yingjie Tian
Biased Support Vector Machine with Self-Constructed Universum for PU Learning. ICDM Workshops 2014: 93-100 - [c12]Zhiquan Qi, Vassil Alexandrov
Parallel Regularized Multiple-criteria Linear Programming. ITQM 2014: 58-65 - 2013
- [j9]Yingjie Tian
Efficient sparse least squares support vector machines for pattern classification. Comput. Math. Appl. 66(10): 1935-1947 (2013) - [j8]Zhiquan Qi, Yingjie Tian
Structural twin support vector machine for classification. Knowl. Based Syst. 43: 74-81 (2013) - [j7]Zhiquan Qi, Yingjie Tian
Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Comput. Appl. 23(1): 245-254 (2013) - [j6]Zhiquan Qi, Yingjie Tian
Multi-instance classification based on regularized multiple criteria linear programming. Neural Comput. Appl. 23(3-4): 857-863 (2013) - [j5]Zhiquan Qi, Yingjie Tian
Robust twin support vector machine for pattern classification. Pattern Recognit. 46(1): 305-316 (2013) - [c11]Zhiquan Qi, Yingjie Tian
Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. ICCS 2013: 1684-1689 - [c10]Zhiquan Qi, Yingjie Tian
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. ICDM Workshops 2013: 795-799 - [c9]Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao:
A Data Mining Perspective of the Newsvendor Problem. ITQM 2013: 166-172 - [c8]Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao:
Support Vector Regression for Newspaper/Magazine Sales Forecasting. ITQM 2013: 1055-1062 - 2012
- [j4]Zhiquan Qi, Yong Shi:
Structural Regular Multiple Criteria Linear Programming for Classification Problem. Int. J. Comput. Commun. Control 7(4): 733-743 (2012) - [j3]Zhiquan Qi, Yingjie Tian
Laplacian twin support vector machine for semi-supervised classification. Neural Networks 35: 46-53 (2012) - [j2]Zhiquan Qi, Yingjie Tian
Twin support vector machine with Universum data. Neural Networks 36: 112-119 (2012) - [c7]Yingjie Tian
Efficient sparse least squares support vector machines for pattern classification. FSKD 2012: 697-701 - [c6]Zhiquan Qi, Yingjie Tian
A Simple and Fast Multi-instance Classification via Support Vector Machine. Web Intelligence/IAT Workshops 2012: 1-4 - [c5]Zhiquan Qi, Yingjie Tian
Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops 2012: 500-505 - [c4]Zhiquan Qi, Yingjie Tian
Regularized Multiple Criteria Linear Programming via Linear Programming. ICCS 2012: 1234-1239 - 2011
- [j1]Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song:
Online multiple instance boosting for object detection. Neurocomputing 74(10): 1769-1775 (2011)
2000 – 2009
- 2008
- [c3]Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong:
Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE 2008: 1129-1134 - 2005
- [c2]Yingjie Tian
A New Support Vector Machine for Multi-class Classification. CIT 2005: 18-22 - [c1]Zhiquan Qi, Yingjie Tian
A New Support Vector Machine for Multi-class Classification. CIS (1) 2005: 580-585
Coauthor Index
[j47] [j45] [j44] [j42] [j41] [j40] [j39] [c27] [i6] [j36] [j35] [j33] [j32] [c25] [i5] [i3] [j30] [j29] [c24] [c23] [i2] [i1] [j27] [j26] [c22] [c21] [j25] [j24] [j19] [j17] [c19] [c18] [c17] [c16] [j16] [j15] [j14] [j13] [j10] [c12] [j9] [j8] [j7] [j6] [j5] [c11] [c10] [j4] [j3] [j2] [c7] [c6] [c5] [c4]
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last updated on 2024-10-07 22:16 CEST by the dblp team
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