Zhiquan Qi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 52

Top Topics

Anomaly Detection

Privileged Information

Support Vector Machine

Convolutional Neural Networks

Top Venues

Pattern Recognit.

Neural Comput. Appl.

Publications

Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Mengjin Lyu, Jie Yang, Zhiquan Qi, Ruijie Xu, Jiabin Liu
Rigid pairwise 3D point cloud registration: A survey. Pattern Recognit. 151 (2024)
Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. 53 (2) (2023)
Yong Shi, Mengyu Shang, Zhiquan Qi
Intelligent layout generation based on deep generative models: A comprehensive survey. Inf. Fusion 100 (2023)
Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu
Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. 80 (Part) (2023)
Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129 (2022)
Linzi Zhang, Jiayu Xue, Mengyu Shang, Zhiquan Qi
Credit and guarantee insurance: A consistent pricing approach in supply chain finance. ITQM (2022)
Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang
Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing 483 (2022)
Jie Yang, Yong Shi, Zhiquan Qi
Learning deep feature correspondence for unsupervised anomaly detection and segmentation. Pattern Recognit. 132 (2022)
Yong Shi, Mengyu Shang, Zhiquan Qi
A Conditional Deep Framework for Automatic Layout Generation. IEEE Access 10 (2022)
Yong Shi, Jie Yang, Zhiquan Qi
Unsupervised anomaly segmentation via deep feature reconstruction. Neurocomputing 424 (2021)
Linzi Zhang, Zhiquan Qi, Fan Meng
A Review on the Construction of Business Intelligence System Based on Unstructured Image Data. ITQM (2021)
Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu
RGSR: A two-step lossy JPG image super-resolution based on noise reduction. Neurocomputing 419 (2021)
Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
Visual Anomaly Detection for Images: A Systematic Survey. ITQM (2021)
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
Two-stage Training for Learning from Label Proportions. IJCAI (2021)
Kai Li, Yingjie Tian, Zhiquan Qi
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR (2021)
Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
Two-stage Training for Learning from Label Proportions. CoRR (2021)
Fenfen Zhou, Yingjie Tian, Zhiquan Qi
Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. 31 (6) (2021)
Xiang Gao, Yingjie Tian, Zhiquan Qi
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI (2021)
Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
Visual Anomaly Detection for Images: A Survey. CoRR (2021)
Mengyu Shang, Yuan Li, Zhiquan Qi
Review of monopoly models and implications for antitrust. ITQM (2021)
Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR (2021)
Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
Concatenated Attention Neural Network for Image Restoration. CoRR (2020)
Xiang Gao, Yingjie Tian, Zhiquan Qi
RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. 29 (2020)
Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi
Token based crack detection. J. Intell. Fuzzy Syst. 38 (3) (2020)
Jie Yang, Zhiquan Qi, Yong Shi
Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR (2020)
Jie Yang, Yong Shi, Zhiquan Qi
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR (2020)
Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
Deep learning from label proportions with labeled samples. Neural Networks 128 (2020)
Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. 27 (2020)
Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi
s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. 29 (2020)
Jie Yang, Zhiquan Qi, Yong Shi
Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI (2020)
Jianbo Feng, Sizhong Chen, Zhiquan Qi
Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering. IEEE Access 8 (2020)
Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil N. Alexandrov
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8 (2) (2020)
Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi
Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. 10 (1) (2019)
Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu
A Novel Texture Generation Super Resolution Model. ITQM (2019)
Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS (2019)
Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi
s-LWSR: Super Lightweight Super-Resolution Network. CoRR (2019)
Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
Learning from Label Proportions with Generative Adversarial Networks. CoRR (2019)
Zhensong Chen, Yong Shi, Zhiquan Qi
Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. 91 (2019)
Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang
Learning from label proportions on high-dimensional data. Neural Networks 103 (2018)
Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
Pedestrian detection based on the privileged information. Neural Comput. Appl. 29 (12) (2018)
Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen
A Survey on Semantic Segmentation. ICDM Workshops (2018)
Yong Shi, Jiabin Liu, Zhiquan Qi
Inverse Convolutional Neural Networks for Learning from Label Proportions. WI (2018)
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
Regularized Sparse Regression. IEEE Trans. Cybern. 47 (6) (2017)
Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi
Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. 119 (2017)
Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu
Learning With Label Proportions via NPSVM. IEEE Trans. Cybern. 47 (10) (2017)
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) (2017)
Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
Support vector machine classifier with truncated pinball loss. Pattern Recognit. 68 (2017)
Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang
When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. Knowl. Based Syst. 107 (2016)
Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen
Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. 17 (12) (2016)
Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang
Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. 6 (4) (2015)
Zhiquan Qi, Yingjie Tian, Yong Shi
Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
Pedestrian Detection Using Privileged Information. ICDM Workshops (2015)
Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi
Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. ICCS (2015)
Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi
Smoothing Trust Region for Digital Image Restoration. WI-IAT (3) (2015)
Bo Wang, Zhensong Chen, Zhiquan Qi
Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) (2015)
Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi
Pavement Distress Detection Using Random Decision Forests. ICDS (2015)
Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi
Supervised Object Boundary Detection Based on Structured Forests. ICDS (2015)
Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi
Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM (2015)
Yingjie Tian, Xuchan Ju, Zhiquan Qi
Efficient sparse nonparallel support vector machines for classification. Neural Comput. Appl. 24 (5) (2014)
Zhiquan Qi, Yingjie Tian, Yong Shi
Regularized multiple-criteria linear programming with universum and its application. Neural Comput. Appl. 24 (3-4) (2014)
Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
A multi-instance learning algorithm based on nonparallel classifier. Appl. Math. Comput. 241 (2014)
Zhijie Xu, Zhiquan Qi, Jianqin Zhang
Learning with positive and unlabeled examples using biased twin support vector machine. Neural Comput. Appl. 25 (6) (2014)
Zhiquan Qi, Vassil N. Alexandrov, Yong Shi, Yingjie Tian
Parallel Regularized Multiple-criteria Linear Programming. ITQM (2014)
Zhiquan Qi, Yingjie Tian, Yong Shi
A new classification model using privileged information and its application. Neurocomputing 129 (2014)
Ying Zhang, Yingjie Tian, Zhiquan Qi
Biased Support Vector Machine with Self-Constructed Universum for PU Learning. ICDM Workshops (2014)
Zhiquan Qi, Yingjie Tian, Yong Shi
A nonparallel support vector machine for a classification problem with universum learning. J. Comput. Appl. Math. 263 (2014)
Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu
Nonparallel Support Vector Machines for Pattern Classification. IEEE Trans. Cybern. 44 (7) (2014)
Zhiquan Qi, Yingjie Tian, Yong Shi
Structural twin support vector machine for classification. Knowl. Based Syst. 43 (2013)
Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. ICDM Workshops (2013)
Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu
Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. ICCS (2013)
Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao
A Data Mining Perspective of the Newsvendor Problem. ITQM (2013)
Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
Efficient sparse least squares support vector machines for pattern classification. Comput. Math. Appl. 66 (10) (2013)
Zhiquan Qi, Yingjie Tian, Yong Shi
Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Comput. Appl. 23 (1) (2013)
Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao
Support Vector Regression for Newspaper/Magazine Sales Forecasting. ITQM (2013)
Zhiquan Qi, Yingjie Tian, Yong Shi
Multi-instance classification based on regularized multiple criteria linear programming. Neural Comput. Appl. 23 (3-4) (2013)
Zhiquan Qi, Yingjie Tian, Yong Shi
Robust twin support vector machine for pattern classification. Pattern Recognit. 46 (1) (2013)
Zhiquan Qi, Yingjie Tian, Yong Shi
A Simple and Fast Multi-instance Classification via Support Vector Machine. Web Intelligence/IAT Workshops (2012)
Zhiquan Qi, Yong Shi
Structural Regular Multiple Criteria Linear Programming for Classification Problem. Int. J. Comput. Commun. Control 7 (4) (2012)
Zhiquan Qi, Yingjie Tian, Yong Shi
Regularized Multiple Criteria Linear Programming via Linear Programming. ICCS (2012)
Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
Efficient sparse least squares support vector machines for pattern classification. FSKD (2012)
Zhiquan Qi, Yingjie Tian, Yong Shi
Laplacian twin support vector machine for semi-supervised classification. Neural Networks 35 (2012)
Zhiquan Qi, Yingjie Tian, Yong Shi
Twin support vector machine with Universum data. Neural Networks 36 (2012)
Zhiquan Qi, Yingjie Tian, Yong Shi
Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops (2012)
Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song
Online multiple instance boosting for object detection. Neurocomputing 74 (10) (2011)
Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong
Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE (2008)
Yingjie Tian, Zhiquan Qi
A New Support Vector Machine for Multi-class Classification. CIT (2005)
Zhiquan Qi, Yingjie Tian, Naiyang Deng
A New Support Vector Machine for Multi-class Classification. CIS (1) (2005)