Zhiquan Qi

Zhiquan Qi, Lingfeng Niu, Ruizhi Zhou, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

ν-Nonparallel support vector machine for pattern classification

Yong Shi, Xiaohui Liu, Zhiquan Qi, 2014, Neural Computing and Applications.

Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification

Zhiquan Qi, Yingjie Tian, Xuchan Ju, 2015, ICCS.

A New Support Vector Machine for Multi-class Classification

Zhiquan Qi, Yingjie Tian, Naiyang Deng, 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

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

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

s-LWSR: Super Lightweight Super-Resolution Network

Bo Wang, Biao Li, Jiabin Liu, 2019, IEEE Transactions on Image Processing.

Semi-supervised classification with privileged information

Ying-jie Tian, Lingfeng Niu, Zhiquan Qi, 2015, Int. J. Mach. Learn. Cybern..

Review on: Twin Support Vector Machines

Zhiquan Qi, Yingjie Tian, Ying-jie Tian, 2014, Annals of Data Science.

Cost-Sensitive Support Vector Machine for Semi-Supervised Learning

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, ICCS.

Regular Multiple Criteria Linear Programming for Semi-supervised Classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Laplacian twin support vector machine for semi-supervised classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

Support Vector Regression for Newspaper/Magazine Sales Forecasting

Zhiquan Qi, Xiaodan Yu, Yuanmeng Zhao, 2013, ITQM.

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

Bo Wang, Peng Zhang, Zhiquan Qi, 2016, Knowl. Based Syst..

Visual Anomaly Detection for Images: A Survey pdf

Zhiquan Qi, Jie Yang, Ruijie Xu, 2021, ArXiv.

Supervised Object Boundary Detection Based on Structured Forests

Fan Meng, Yong Shi, Limeng Cui, 2015, ICDS.

Automatic Road Crack Detection Using Random Structured Forests

Fan Meng, Yong Shi, Limeng Cui, 2016, IEEE Transactions on Intelligent Transportation Systems.

Parallel RMCLP Classification Algorithm and Its Application on the Medical Data

Yong Shi, Zhiquan Qi, Yingjie Tian, 2020, IEEE Transactions on Cloud Computing.

2nd International Conference on Information Technology and Quantitative Management, ITQM 2014 Parallel Regularized Multiple-Criteria Linear Programming

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014 .

Parallel Regularized Multiple-criteria Linear Programming

Yong Shi, Vassil N. Alexandrov, Zhiquan Qi, 2014, ITQM.

Structural Regular Multiple Criteria Linear Programming for Classification Problem

Yong Shi, Zhiquan Qi, Yong Shi, 2014, Int. J. Comput. Commun. Control.

Multi-instance classification based on regularized multiple criteria linear programming

Yong Shi, Ying-jie Tian, Zhiquan Qi, 2013, Neural Computing and Applications.

Regularized multiple-criteria linear programming with universum and its application

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Computing and Applications.

Regularized multiple-criteria linear programming via second order cone programming formulations

Zhiquan Qi, Yingjie Tian, Yong Shi, 2012, DM-IKM '12.

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

Fan Meng, Yong Shi, Limeng Cui, 2017, Neural Computing and Applications.

A Data Mining Perspective of the Newsvendor Problem

Zhiquan Qi, Xiaodan Yu, Yuanmeng Zhao, 2013, ITQM.

Support vector machine classifier with truncated pinball loss

Xin Shen, Zhiquan Qi, Lingfeng Niu, 2017, Pattern Recognit..

Learning from label proportions on high-dimensional data

Bo Wang, Yong Shi, Jiabin Liu, 2018, Neural Networks.

Learning deep feature correspondence for unsupervised anomaly detection and segmentation

Jie Yang, Zhiquan Qi, Yong Shi, 2022, Pattern Recognit..

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation

Zhiquan Qi, Jie Yang, Yong Shi, 2020, Neurocomputing.

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation pdf

Yong Shi, Jie Yang, Zhiquan Qi, 2020, ArXiv.

Pavement Distress Detection Using Random Decision Forests

Fan Meng, Yong Shi, Limeng Cui, 2015, ICDS.

Learning to Incorporate Structure Knowledge for Image Inpainting pdf

Yong Shi, Jie Yang, Zhiquan Qi, 2020, AAAI.

Structural twin support vector machine for classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, Knowl. Based Syst..

Robust twin support vector machine for pattern classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, Pattern Recognit..

Efficient sparse nonparallel support vector machines for classification

Zhiquan Qi, Yingjie Tian, Xuchan Ju, 2014, Neural Computing and Applications.

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

Ying Zhang, Zhiquan Qi, Yingjie Tian, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Online multiple instance boosting for object detection

Zhiquan Qi, Yitian Xu, Laisheng Wang, 2011, Neurocomputing.

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

Yong Shi, Peng Zhang, Zhiquan Qi, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Zhiquan Qi, Yingjie Tian, Bo Wang, 2021, IEEE Transactions on Cybernetics.

Nonsmooth Penalized Clustering via $\ell _{p}$ Regularized Sparse Regression

Peng Zhang, Zhiquan Qi, Lingfeng Niu, 2017, IEEE Transactions on Cybernetics.

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

Zhiquan Qi, Linzi Zhang, Fan Meng, 2021, ITQM.

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

Ping Zhong, Zhiquan Qi, Yitian Xu, 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

Two-stage Training for Learning from Label Proportions

Jiabin Liu, Zhiquan Qi, Yingjie Tian, 2021, IJCAI.

A Conditional Deep Framework for Automatic Layout Generation

Zhiquan Qi, Yong Shi, Mengyuan Shang, 2022, IEEE Access.

A Fast Algorithm for Multi-Class Learning from Label Proportions

Yong Shi, Bo Wang, Fan Zhang, 2019, Electronics.

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

Zhiquan Qi, Yong Shi, Mengyuan Shang, 2023, Inf. Fusion.

Learning from label proportions with pinball loss

Yong Shi, Limeng Cui, Zhensong Chen, 2019, Int. J. Mach. Learn. Cybern..

Visual Anomaly Detection for Images: A Systematic Survey

Junliang Yang, Zhiquan Qi, Yong Shi, 2021, ITQM.

Token based crack detection

Yong Shi, Zhensong Chen, Zhiquan Qi, 2020, J. Intell. Fuzzy Syst..

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

Bo Wang, Biao Li, Zhiquan Qi, 2021, Neurocomputing.

Learning from Label Proportions with Generative Adversarial Networks

Yong Shi, Ying-jie Tian, Zhiquan Qi, 2019, NeurIPS.

Learning With Label Proportions via NPSVM

Zhiquan Qi, Lingfeng Niu, Bo Wang, 2017, IEEE Transactions on Cybernetics.

s-LWSR: Super Lightweight Super-Resolution Network

Zhiquan Qi, Yong Shi, Bo Wang, 2019, IEEE Transactions on Image Processing.

Twin support vector machine with Universum data

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

Bi-Directional Pyramid Network for Edge Detection

Zhiquan Qi, Yingjie Tian, Bo Wang, 2021, Electronics.

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

Zhiquan Qi, Ying-fang Tian, Zeyuan Wang, 2022, Neurocomputing.

Inverse Convolutional Neural Networks for Learning from Label Proportions

Yong Shi, Zhiquan Qi, Jiabin Liu, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Deep Learning Based Image Quality Assessment: A Survey

Zhiquan Qi, Yong Shi, Jian Yang, 2023, Procedia Computer Science.

ν-Nonparallel support vector machine for pattern classification

Ying-jie Tian, Xuchan Ju, Zhiquan Qi, 2014, Neural Computing and Applications.

Semi-supervised classification with privileged information

Bo Wang, Zhiquan Qi, Lingfeng Niu, 2015, Int. J. Mach. Learn. Cybern..

CANet: Concatenated Attention Neural Network for Image Restoration

Tian YingJie, Wang YiQi, Yang LinRui, 2020, IEEE Signal Processing Letters.

Efficient sparse least squares support vector machines for pattern classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

Efficient railway tracks detection and turnouts recognition method using HOG features

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Computing and Applications.

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

Ying-jie Tian, H. Hang, Zhiquan Qi, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Learning from label proportions on high-dimensional data

Yong Shi, Zhiquan Qi, Bo Wang, 2018, Neural Networks.

A new classification model using privileged information and its application

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, Neurocomputing.

Deep learning from label proportions with labeled samples

Yong Shi, Bo Wang, Zhiquan Qi, 2020, Neural Networks.

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

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, J. Comput. Appl. Math..

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

Shanshe Wang, Zhiquan Qi, Bo Wang, 2021, 2109.05707.

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

Zhiquan Qi, Yingjie Tian, Kai Li, 2021, ArXiv.

Pedestrian detection based on the privileged information

Fan Meng, Zhiquan Qi, Lingfeng Niu, 2018, Neural Computing and Applications.

Pedestrian Detection Using Privileged Information

Fan Meng, Yong Shi, Limeng Cui, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

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

Yong Shi, Zhiquan Qi, Yingjie Tian, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Constrained matrix factorization for semi-weakly learning with label proportions

Yong Shi, Zhensong Chen, Zhiquan Qi, 2019, Pattern Recognit..

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

Xiang Gao, Yingjie Tian, Zhiquan Qi, 2020, IEEE Transactions on Image Processing.