Zhiquan Qi

According to our database, Zhiquan Qi authored at least 84 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection.

Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi

IEEE Trans. Intell. Transp. Syst., January, 2024

Rigid pairwise 3D point cloud registration: A survey.

Mengjin Lyu, Jie Yang, Zhiquan Qi, Ruijie Xu, Jiabin Liu

Pattern Recognit., 2024

2023

Intelligent layout generation based on deep generative models: A comprehensive survey.

Yong Shi, Mengyu Shang, Zhiquan Qi

Inf. Fusion, December, 2023

LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions.

Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function.

Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi

IEEE Trans. Cybern., 2023

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft.

Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu

Biomed. Signal Process. Control., 2023

2022

Learning deep feature correspondence for unsupervised anomaly detection and segmentation.

Jie Yang, Yong Shi, Zhiquan Qi

Pattern Recognit., 2022

SELF-LLP: Self-supervised learning from label proportions with self-ensemble.

Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi

Pattern Recognit., 2022

Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism.

Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang

Neurocomputing, 2022

A Conditional Deep Framework for Automatic Layout Generation.

Yong Shi, Mengyu Shang, Zhiquan Qi

IEEE Access, 2022

Credit and guarantee insurance: A consistent pricing approach in supply chain finance.

Linzi Zhang, Jiayu Xue, Mengyu Shang, Zhiquan Qi

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

Attention Transfer Network for Nature Image Matting.

Fenfen Zhou, Yingjie Tian, Zhiquan Qi

IEEE Trans. Circuits Syst. Video Technol., 2021

Unsupervised anomaly segmentation via deep feature reconstruction.

Yong Shi, Jie Yang, Zhiquan Qi

Neurocomputing, 2021

RGSR: A two-step lossy JPG image super-resolution based on noise reduction.

Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu

Neurocomputing, 2021

Visual Anomaly Detection for Images: A Survey.

Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi

CoRR, 2021

CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection.

Kai Li, Yingjie Tian, Zhiquan Qi

CoRR, 2021

A Review on the Construction of Business Intelligence System Based on Unstructured Image Data.

Linzi Zhang, Zhiquan Qi, Fan Meng

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Visual Anomaly Detection for Images: A Systematic Survey.

Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Review of monopoly models and implications for antitrust.

Mengyu Shang, Yuan Li, Zhiquan Qi

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Two-stage Training for Learning from Label Proportions.

Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-view Feature Augmentation with Adaptive Class Activation Mapping.

Xiang Gao, Yingjie Tian, Zhiquan Qi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

s-LWSR: Super Lightweight Super-Resolution Network.

Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi

IEEE Trans. Image Process., 2020

RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network.

Xiang Gao, Yingjie Tian, Zhiquan Qi

IEEE Trans. Image Process., 2020

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data.

Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil Alexandrov

IEEE Trans. Cloud Comput., 2020

CANet: Concatenated Attention Neural Network for Image Restoration.

Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi

IEEE Signal Process. Lett., 2020

Deep learning from label proportions with labeled samples.

Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian

Neural Networks, 2020

Token based crack detection.

Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi

J. Intell. Fuzzy Syst., 2020

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation.

Jie Yang, Yong Shi, Zhiquan Qi

CoRR, 2020

Concatenated Attention Neural Network for Image Restoration.

Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi

CoRR, 2020

Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering.

Jianbo Feng, Sizhong Chen, Zhiquan Qi

IEEE Access, 2020

Learning to Incorporate Structure Knowledge for Image Inpainting.

Jie Yang, Zhiquan Qi, Yong Shi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Constrained matrix factorization for semi-weakly learning with label proportions.

Zhensong Chen, Yong Shi, Zhiquan Qi

Pattern Recognit., 2019

Learning from label proportions with pinball loss.

Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi

Int. J. Mach. Learn. Cybern., 2019

Learning from Label Proportions with Generative Adversarial Networks.

Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Novel Texture Generation Super Resolution Model.

Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Adaboost-LLP: A Boosting Method for Learning With Label Proportions.

Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Learning from label proportions on high-dimensional data.

Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang

Neural Networks, 2018

Pedestrian detection based on the privileged information.

Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu

Neural Comput. Appl., 2018

Inverse Convolutional Neural Networks for Learning from Label Proportions.

Yong Shi, Jiabin Liu, Zhiquan Qi

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

A Survey on Semantic Segmentation.

Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Learning With Label Proportions via NPSVM.

Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu

IEEE Trans. Cybern., 2017

Nonsmooth Penalized Clustering via ℓ_p Regularized Sparse Regression.

Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang

IEEE Trans. Cybern., 2017

Support vector machine classifier with truncated pinball loss.

Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian

Pattern Recognit., 2017

A novel clustering-based image segmentation via density peaks algorithm with mid-level feature.

Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui

Neural Comput. Appl., 2017

Learning with label proportions based on nonparallel support vector machines.

Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi

Knowl. Based Syst., 2017

2016

Automatic Road Crack Detection Using Random Structured Forests.

Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen

IEEE Trans. Intell. Transp. Syst., 2016

When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification.

Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang

Knowl. Based Syst., 2016

2015

Successive Overrelaxation for Laplacian Support Vector Machine.

Zhiquan Qi, Yingjie Tian, Yong Shi

IEEE Trans. Neural Networks Learn. Syst., 2015

Semi-supervised classification with privileged information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang

Int. J. Mach. Learn. Cybern., 2015

Smoothing Trust Region for Digital Image Restoration.

Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Linear Twin SVM for Learning from Label Proportions.

Bo Wang, Zhensong Chen, Zhiquan Qi

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Image Segmentation via Improving Clustering Algorithms with Density and Distance.

Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Supervised Object Boundary Detection Based on Structured Forests.

Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

Pavement Distress Detection Using Random Decision Forests.

Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi

Proceedings of the Data Science - Second International Conference, 2015

Pedestrian Detection Using Privileged Information.

Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification.

Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi

Proceedings of the International Conference on Computational Science, 2015

2014

Nonparallel Support Vector Machines for Pattern Classification.

Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu

IEEE Trans. Cybern., 2014

Learning with positive and unlabeled examples using biased twin support vector machine.

Zhijie Xu, Zhiquan Qi, Jianqin Zhang

Neural Comput. Appl., 2014

Efficient sparse nonparallel support vector machines for classification.

Yingjie Tian, Xuchan Ju, Zhiquan Qi

Neural Comput. Appl., 2014

Regularized multiple-criteria linear programming with universum and its application.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2014

A nonparallel support vector machine for a classification problem with universum learning.

Zhiquan Qi, Yingjie Tian, Yong Shi

J. Comput. Appl. Math., 2014

A new classification model using privileged information and its application.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neurocomputing, 2014

A multi-instance learning algorithm based on nonparallel classifier.

Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi

Appl. Math. Comput., 2014

Parallel Regularized Multiple-criteria Linear Programming.

Zhiquan Qi, Vassil Alexandrov, Yong Shi, Yingjie Tian

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Biased Support Vector Machine with Self-Constructed Universum for PU Learning.

Ying Zhang, Yingjie Tian, Zhiquan Qi

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Robust twin support vector machine for pattern classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Pattern Recognit., 2013

Multi-instance classification based on regularized multiple criteria linear programming.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2013

Efficient railway tracks detection and turnouts recognition method using HOG features.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Comput. Appl., 2013

Structural twin support vector machine for classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Knowl. Based Syst., 2013

Efficient sparse least squares support vector machines for pattern classification.

Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi

Comput. Math. Appl., 2013

Support Vector Regression for Newspaper/Magazine Sales Forecasting.

Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

A Data Mining Perspective of the Newsvendor Problem.

Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge.

Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning.

Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu

Proceedings of the International Conference on Computational Science, 2013

2012

Regularized Multiple Criteria Linear Programming via Linear Programming.

Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the International Conference on Computational Science, 2012

Twin support vector machine with Universum data.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Networks, 2012

Laplacian twin support vector machine for semi-supervised classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Neural Networks, 2012

Structural Regular Multiple Criteria Linear Programming for Classification Problem.

Zhiquan Qi, Yong Shi

Int. J. Comput. Commun. Control, 2012

Regular Multiple Criteria Linear Programming for Semi-supervised Classification.

Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A Simple and Fast Multi-instance Classification via Support Vector Machine.

Zhiquan Qi, Yingjie Tian, Yong Shi

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012

2011

Online multiple instance boosting for object detection.

Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song

Neurocomputing, 2011

2008

Robust Object Detection Based on Decision Trees and a New Cascade Architecture.

Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong

Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2005

A New Support Vector Machine for Multi-class Classification.

Zhiquan Qi, Yingjie Tian, Naiyang Deng

Proceedings of the Computational Intelligence and Security, International Conference, 2005

A New Support Vector Machine for Multi-class Classification.

Yingjie Tian, Zhiquan Qi

Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005