Zhiquan Qi - RankMe

99 papers A* 4B 1C 3Misc 3Journal 66Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curvature-Fused Feature Extractor for Accelerated Point Cloud Anomaly Detection. IEEE Access Yujie Huang, Zhiquan Qi
2026	J	`jnl`	Recursive Statistical Invariants Elimination for High-Risk Disease Diagnosis With Feature Selection. IEEE J. Biomed. Health Informatics Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Zhiquan Qi
2025	J	`jnl`	A Dual-State-Based Surface Anomaly Detection Model for Rail Transit Trains Using Vision-Language Model. IEEE Trans. Instrum. Meas. Kaiyan Lei, Zhiquan Qi
2025	J	`jnl`	A Survey on Vision-Language-Action Models: An Action Tokenization Perspective. CoRR Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang
2025	J	`jnl`	Efficient Reference-Based Super Resolution for Product Image with Frequency-Spatial Aggregation. Int. J. Inf. Technol. Decis. Mak. Yong Shi, Jiayu Xue, Biao Li, Zhiquan Qi, Fangyao Liu
2025	J	`jnl`	Improving Surface Defect Detection for Trains Based on Visual-Language Knowledge Guidance on Tiny Datasets. IEEE Trans. Intell. Transp. Syst. Kaiyan Lei, Zhiquan Qi, Jin Song
2025	J	`jnl`	MSNet: A Novel Deep Learning Framework for Efficient Missing Seedling Detection in Maize Fields. Appl. Artif. Intell. Yong Shi, Ruijie Xu, Zhiquan Qi
2024	—	`conf`	Outlier Exposure in Visual Industrial Anomaly Detection - Survey. ICDM (Workshops) Yong Shi, Ruijie Xu, Zhiquan Qi
2024	J	`jnl`	Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Kai Li, Jie Yang, Siwei Ma, Bo Wang, Shanshe Wang, Yingjie Tian, Zhiquan Qi
2024	J	`jnl`	Rigid pairwise 3D point cloud registration: A survey. Pattern Recognit. Mengjin Lyu, Jie Yang, Zhiquan Qi, Ruijie Xu, Jiabin Liu
2024	—	`conf`	Structure Aware Loss for Deep Unsupervised Industrial Image Registration. ICDM (Workshops) Yong Shi, Mengjin Lyu, Zhiquan Qi
2023	J	`jnl`	Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
2023	J	`jnl`	Intelligent layout generation based on deep generative models: A comprehensive survey. Inf. Fusion Yong Shi, Mengyu Shang, Zhiquan Qi
2023	J	`jnl`	LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Jiabin Liu, Bo Wang, Hanyuan Hang, Huadong Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2023	J	`jnl`	Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu
2022	J	`jnl`	A Conditional Deep Framework for Automatic Layout Generation. IEEE Access Yong Shi, Mengyu Shang, Zhiquan Qi
2022	—	`conf`	Credit and guarantee insurance: A consistent pricing approach in supply chain finance. ITQM Linzi Zhang, Jiayu Xue, Mengyu Shang, Zhiquan Qi
2022	J	`jnl`	Learning deep feature correspondence for unsupervised anomaly detection and segmentation. Pattern Recognit. Jie Yang, Yong Shi, Zhiquan Qi
2022	J	`jnl`	Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing Yingjie Tian, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang
2022	J	`jnl`	SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. Jiabin Liu, Zhiquan Qi, Bo Wang, Yingjie Tian, Yong Shi
2021	—	`conf`	A Review on the Construction of Business Intelligence System Based on Unstructured Image Data. ITQM Linzi Zhang, Zhiquan Qi, Fan Meng
2021	J	`jnl`	Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. Fenfen Zhou, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR Kai Li, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi
2021	A*	`conf`	Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI Xiang Gao, Yingjie Tian, Zhiquan Qi
2021	J	`jnl`	RGSR: A two-step lossy JPG image super-resolution based on noise reduction. Neurocomputing Biao Li, Yong Shi, Bo Wang, Zhiquan Qi, Jiabin Liu
2021	—	`conf`	Review of monopoly models and implications for antitrust. ITQM Mengyu Shang, Yuan Li, Zhiquan Qi
2021	A*	`conf`	Two-stage Training for Learning from Label Proportions. IJCAI Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
2021	J	`jnl`	Two-stage Training for Learning from Label Proportions. CoRR Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian
2021	J	`jnl`	Unsupervised anomaly segmentation via deep feature reconstruction. Neurocomputing Yong Shi, Jie Yang, Zhiquan Qi
2021	J	`jnl`	Visual Anomaly Detection for Images: A Survey. CoRR Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
2021	—	`conf`	Visual Anomaly Detection for Images: A Systematic Survey. ITQM Jie Yang, Ruijie Xu, Zhiquan Qi, Yong Shi
2020	J	`jnl`	CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
2020	J	`jnl`	Concatenated Attention Neural Network for Image Restoration. CoRR Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi
2020	J	`jnl`	Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering. IEEE Access Jianbo Feng, Sizhong Chen, Zhiquan Qi
2020	J	`jnl`	DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation. CoRR Jie Yang, Yong Shi, Zhiquan Qi
2020	J	`jnl`	Deep learning from label proportions with labeled samples. Neural Networks Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
2020	A*	`conf`	Learning to Incorporate Structure Knowledge for Image Inpainting. AAAI Jie Yang, Zhiquan Qi, Yong Shi
2020	J	`jnl`	Learning to Incorporate Structure Knowledge for Image Inpainting. CoRR Jie Yang, Zhiquan Qi, Yong Shi
2020	J	`jnl`	Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. Zhiquan Qi, Yingjie Tian, Yong Shi, Vassil Alexandrov
2020	J	`jnl`	RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. Xiang Gao, Yingjie Tian, Zhiquan Qi
2020	J	`jnl`	Token based crack detection. J. Intell. Fuzzy Syst. Fan Meng, Zhiquan Qi, Zhensong Chen, Bo Wang, Yong Shi
2020	J	`jnl`	s-LWSR: Super Lightweight Super-Resolution Network. IEEE Trans. Image Process. Biao Li, Bo Wang, Jiabin Liu, Zhiquan Qi, Yong Shi
2019	—	`conf`	A Novel Texture Generation Super Resolution Model. ITQM Biao Li, Yong Shi, Sujuan Li, Bo Wang, Zhiquan Qi, Jiabin Liu
2019	J	`jnl`	Constrained matrix factorization for semi-weakly learning with label proportions. Pattern Recognit. Zhensong Chen, Yong Shi, Zhiquan Qi
2019	A*	`conf`	Learning from Label Proportions with Generative Adversarial Networks. NeurIPS Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2019	J	`jnl`	Learning from Label Proportions with Generative Adversarial Networks. CoRR Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi
2019	J	`jnl`	Learning from label proportions with pinball loss. Int. J. Mach. Learn. Cybern. Yong Shi, Limeng Cui, Zhensong Chen, Zhiquan Qi
2019	J	`jnl`	s-LWSR: Super Lightweight Super-Resolution Network. CoRR Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi
2018	—	`conf`	A Survey on Semantic Segmentation. ICDM Workshops Biao Li, Yong Shi, Zhiquan Qi, Zhensong Chen
2018	J	`jnl`	Adaboost-LLP: A Boosting Method for Learning With Label Proportions. IEEE Trans. Neural Networks Learn. Syst. Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
2018	B	`conf`	Inverse Convolutional Neural Networks for Learning from Label Proportions. WI Yong Shi, Jiabin Liu, Zhiquan Qi
2018	J	`jnl`	Learning from label proportions on high-dimensional data. Neural Networks Yong Shi, Jiabin Liu, Zhiquan Qi, Bo Wang
2018	J	`jnl`	Pedestrian detection based on the privileged information. Neural Comput. Appl. Fan Meng, Zhiquan Qi, Yingjie Tian, Lingfeng Niu
2017	J	`jnl`	A novel clustering-based image segmentation via density peaks algorithm with mid-level feature. Neural Comput. Appl. Yong Shi, Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui
2017	J	`jnl`	Learning With Label Proportions via NPSVM. IEEE Trans. Cybern. Zhiquan Qi, Bo Wang, Fan Meng, Lingfeng Niu
2017	J	`jnl`	Learning with label proportions based on nonparallel support vector machines. Knowl. Based Syst. Zhensong Chen, Zhiquan Qi, Bo Wang, Limeng Cui, Fan Meng, Yong Shi
2017	J	`jnl`	Nonsmooth Penalized Clustering via ℓ IEEE Trans. Cybern. Lingfeng Niu, Ruizhi Zhou, Yingjie Tian, Zhiquan Qi, Peng Zhang
2017	J	`jnl`	Support vector machine classifier with truncated pinball loss. Pattern Recognit. Xin Shen, Lingfeng Niu, Zhiquan Qi, Yingjie Tian
2016	J	`jnl`	Automatic Road Crack Detection Using Random Structured Forests. IEEE Trans. Intell. Transp. Syst. Yong Shi, Limeng Cui, Zhiquan Qi, Fan Meng, Zhensong Chen
2016	J	`jnl`	When Ensemble Learning Meets Deep Learning: a New Deep Support Vector Machine for Classification. Knowl. Based Syst. Zhiquan Qi, Bo Wang, Yingjie Tian, Peng Zhang
2015	—	`conf`	Image Segmentation via Improving Clustering Algorithms with Density and Distance. ITQM Zhensong Chen, Zhiquan Qi, Fan Meng, Limeng Cui, Yong Shi
2015	—	`conf`	Linear Twin SVM for Learning from Label Proportions. WI-IAT (3) Bo Wang, Zhensong Chen, Zhiquan Qi
2015	Misc	`conf`	Nonparallel Hyperplanes Support Vector Machine for Multi-class Classification. ICCS Xuchan Ju, Yingjie Tian, Dalian Liu, Zhiquan Qi
2015	C	`conf`	Pavement Distress Detection Using Random Decision Forests. ICDS Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi
2015	—	`conf`	Pedestrian Detection Using Privileged Information. ICDM Workshops Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Fan Meng, Limeng Cui, Yong Shi
2015	J	`jnl`	Semi-supervised classification with privileged information. Int. J. Mach. Learn. Cybern. Zhiquan Qi, Yingjie Tian, Lingfeng Niu, Bo Wang
2015	—	`conf`	Smoothing Trust Region for Digital Image Restoration. WI-IAT (3) Ruizhi Zhou, Lingfeng Niu, Zhiquan Qi
2015	J	`jnl`	Successive Overrelaxation for Laplacian Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. Zhiquan Qi, Yingjie Tian, Yong Shi
2015	C	`conf`	Supervised Object Boundary Detection Based on Structured Forests. ICDS Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi
2014	J	`jnl`	A multi-instance learning algorithm based on nonparallel classifier. Appl. Math. Comput. Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
2014	J	`jnl`	A new classification model using privileged information and its application. Neurocomputing Zhiquan Qi, Yingjie Tian, Yong Shi
2014	J	`jnl`	A nonparallel support vector machine for a classification problem with universum learning. J. Comput. Appl. Math. Zhiquan Qi, Yingjie Tian, Yong Shi
2014	—	`conf`	Biased Support Vector Machine with Self-Constructed Universum for PU Learning. ICDM Workshops Ying Zhang, Yingjie Tian, Zhiquan Qi
2014	J	`jnl`	Efficient sparse nonparallel support vector machines for classification. Neural Comput. Appl. Yingjie Tian, Xuchan Ju, Zhiquan Qi
2014	J	`jnl`	Learning with positive and unlabeled examples using biased twin support vector machine. Neural Comput. Appl. Zhijie Xu, Zhiquan Qi, Jianqin Zhang
2014	J	`jnl`	Nonparallel Support Vector Machines for Pattern Classification. IEEE Trans. Cybern. Yingjie Tian, Zhiquan Qi, Xuchan Ju, Yong Shi, Xiaohui Liu
2014	—	`conf`	Parallel Regularized Multiple-criteria Linear Programming. ITQM Zhiquan Qi, Vassil Alexandrov, Yong Shi, Yingjie Tian
2014	J	`jnl`	Regularized multiple-criteria linear programming with universum and its application. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	—	`conf`	A Data Mining Perspective of the Newsvendor Problem. ITQM Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao
2013	Misc	`conf`	Cost-Sensitive Support Vector Machine for Semi-Supervised Learning. ICCS Zhiquan Qi, Yingjie Tian, Yong Shi, Xiaodan Yu
2013	J	`jnl`	Efficient railway tracks detection and turnouts recognition method using HOG features. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	J	`jnl`	Efficient sparse least squares support vector machines for pattern classification. Comput. Math. Appl. Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
2013	—	`conf`	How to Improve the Quality of Pedestrian Detection Using the Priori Knowledge. ICDM Workshops Zhiquan Qi, Yingjie Tian, Xiaodan Yu, Yong Shi
2013	J	`jnl`	Multi-instance classification based on regularized multiple criteria linear programming. Neural Comput. Appl. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	J	`jnl`	Robust twin support vector machine for pattern classification. Pattern Recognit. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	J	`jnl`	Structural twin support vector machine for classification. Knowl. Based Syst. Zhiquan Qi, Yingjie Tian, Yong Shi
2013	—	`conf`	Support Vector Regression for Newspaper/Magazine Sales Forecasting. ITQM Xiaodan Yu, Zhiquan Qi, Yuanmeng Zhao
2012	—	`conf`	A Simple and Fast Multi-instance Classification via Support Vector Machine. Web Intelligence/IAT Workshops Zhiquan Qi, Yingjie Tian, Yong Shi
2012	—	`conf`	Efficient sparse least squares support vector machines for pattern classification. FSKD Yingjie Tian, Xuchan Ju, Zhiquan Qi, Yong Shi
2012	J	`jnl`	Laplacian twin support vector machine for semi-supervised classification. Neural Networks Zhiquan Qi, Yingjie Tian, Yong Shi
2012	—	`conf`	Regular Multiple Criteria Linear Programming for Semi-supervised Classification. ICDM Workshops Zhiquan Qi, Yingjie Tian, Yong Shi
2012	Misc	`conf`	Regularized Multiple Criteria Linear Programming via Linear Programming. ICCS Zhiquan Qi, Yingjie Tian, Yong Shi
2012	J	`jnl`	Structural Regular Multiple Criteria Linear Programming for Classification Problem. Int. J. Comput. Commun. Control Zhiquan Qi, Yong Shi
2012	J	`jnl`	Twin support vector machine with Universum data. Neural Networks Zhiquan Qi, Yingjie Tian, Yong Shi
2011	J	`jnl`	Online multiple instance boosting for object detection. Neurocomputing Zhiquan Qi, Yitian Xu, Laisheng Wang, Ye Song
2008	—	`conf`	Robust Object Detection Based on Decision Trees and a New Cascade Architecture. CIMCA/IAWTIC/ISE Zhiquan Qi, Laisheng Wang, Yitian Xu, Ping Zhong
2005	C	`conf`	A New Support Vector Machine for Multi-class Classification. CIT Yingjie Tian, Zhiquan Qi
2005	—	`conf`	A New Support Vector Machine for Multi-class Classification. CIS (1) Zhiquan Qi, Yingjie Tian, Naiyang Deng