Qinghua Hu - researchr alias

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Viewing Publication 1 - 100 from 354

2023

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian DetectionQing Li 0018, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu. tmm, 25:3420-3431, 2023. [doi]

Meta-Probability Weighting for Improving Reliability of DNNs to Label NoiseZhen Wang 0033, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu. titb, 27(4):1726-1734, April 2023. [doi]

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault DiagnosisYu Wang 0106, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li 0016, Qinghua Hu, C. L. Philip Chen. tnn, 34(2):761-774, February 2023. [doi]

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image SynthesisBing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang 0002, Nannan Wang 0001, Xinbo Gao 0001, Dinggang Shen. ijcv, 131(8):1995-2014, August 2023. [doi]

Multi-Granularity Regularized Re-Balancing for Class Incremental LearningHuitong Chen, Yu Wang 0106, Qinghua Hu. tkde, 35(7):7263-7277, July 2023. [doi]

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial ProcessesDongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding. tnn, 34(9):6015-6028, September 2023. [doi]

Cross-Drone Transformer Network for Robust Single Object TrackingGuanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu. tcsv, 33(9):4552-4563, September 2023. [doi]

Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equationQinghua Hu, Mingxuan Zhu. appml, 143:108667, September 2023. [doi]

Class-Specific Semantic Reconstruction for Open Set RecognitionHongzhi Huang, Yu Wang 0106, Qinghua Hu, Ming-Ming Cheng. pami, 45(4):4214-4228, April 2023. [doi]

Building hierarchical class structures for extreme multi-class learningHongzhi Huang, Yu Wang 0106, Qinghua Hu. mlc, 14(7):2575-2590, July 2023. [doi]

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain AdaptationJing Li, Liu Yang, Qilong Wang, Qinghua Hu. icmcs 2023: 2675-2680 [doi]

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain AdaptationJing Li, Liu Yang, Qilong Wang, Qinghua Hu. tcsv, 33(9):5133-5147, September 2023. [doi]

DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface PairsXiaowei Li, Qinghua Hu, Gang Xu, Long Qi, Haiyan Wu, Yufei Pang. cad, 156:103464, March 2023. [doi]

Hierarchical Feature Selection Based on Label Distribution LearningYaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu 0001, Xindong Wu 0001. tkde, 35(6):5964-5976, June 2023. [doi]

Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A BenchmarkZhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang 0106, Qinghua Hu, Pengfei Zhu. tmm, 25:1462-1476, 2023. [doi]

Calibrating Multimodal LearningHuan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. icml 2023: 23429-23450 [doi]

Scatter matrix decomposition for jointly sparse learningDongmei Mo, Zhihui Lai, Jie Zhou 0009, Qinghua Hu. PR, 140:109485, August 2023. [doi]

Reliable and Interpretable Personalized Federated LearningZixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu. cvpr 2023: 20422-20431 [doi]

Query-Efficient Black-Box Adversarial Attack With Customized Iteration and SamplingYucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian 0001. pami, 45(2):2226-2245, 2023. [doi]

MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic NetworksTianbao Wang, Yajun Yang, Hong Gao 0001, Qinghua Hu. dasfaa 2023: 172-182 [doi]

Dual-branch network with memory for video anomaly detectionDicong Wang, Qinghua Hu, Kaijun Wu. mms, 29(1):247-259, 2023. [doi]

Multi-Source Collaborative Contrastive Learning for Decentralized Domain AdaptationYikang Wei, Liu Yang, Yahong Han, Qinghua Hu. tcsv, 33(5):2202-2216, May 2023. [doi]

Exploring and Exploiting Uncertainty for Incomplete Multi-View ClassificationMengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu. cvpr 2023: 19873-19882 [doi]

MLI: A Multi-level Inference Mechanism for User Attributes in Social NetworksHang Zhang, Yajun Yang, Xin Wang 0030, Hong Gao 0001, Qinghua Hu. tois, 41(2), April 2023. [doi]

Provable Dynamic Fusion for Low-Quality Multimodal DataQingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng. icml 2023: 41753-41769 [doi]

Multi-Level Cascade Sparse Representation Learning for Small Data ClassificationWenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao 0001, Chunlin Chen. tcsv, 33(5):2451-2464, May 2023. [doi]

Latent Heterogeneous Graph Network for Incomplete Multi-View LearningPengfei Zhu, Xinjie Yao, Yu Wang 0106, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu. tmm, 25:3033-3045, 2023. [doi]

2022

Video Saliency Prediction via Joint Discrimination and Local ConsistencyZheng Wang 0008, Ziqi Zhou, Huchuan Lu, Qinghua Hu, Jianmin Jiang. tcyb, 52(3):1490-1501, 2022. [doi]

Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classificationYu Zhou 0015, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang 0005. PR, 124:108449, 2022. [doi]

Hierarchical Semantic Risk Minimization for Large-Scale ClassificationYu Wang 0106, Zhou Wang 0001, Qinghua Hu, Yucan Zhou, Honglei Su. tcyb, 52(9):9546-9558, 2022. [doi]

Uncertainty instructed multi-granularity decision for large-scale hierarchical classificationYu Wang 0106, Qinghua Hu, Hao Chen, Yuhua Qian. isci, 586:644-661, 2022. [doi]

Data reduction based on NN-kNN measure for NN classification and regressionShuang An, Qinghua Hu, Changzhong Wang, Ge Guo, Piyu Li. mlc, 13(3):765-781, 2022. [doi]

Learning a Prototype Discriminator With RBF for Multimodal Image SynthesisZhiwei Bi, Bing Cao, Wangmeng Zuo, Qinghua Hu. TIP, 31:6664-6678, 2022. [doi]

Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing SystemsShangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang 0001, Qinghua Hu. icdcs 2022: 436-446 [doi]

Face photo-sketch synthesis via full-scale identity supervisionBing Cao, Nannan Wang 0001, Jie Li 0001, Qinghua Hu, Xinbo Gao 0001. PR, 124:108446, 2022. [doi]

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognitionHao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai. PR, 123:108383, 2022. [doi]

Domain Generalization via Maximum Intra-class Average Diameter MinimizationBenyu Dong, Chung-Ming Own, Qinghua Hu. ijcnn 2022: 1-8 [doi]

Curiosity-Driven Class-Incremental Learning via Adaptive Sample SelectionQinghua Hu, Yucong Gao, Bing Cao. tcsv, 32(12):8660-8673, 2022. [doi]

Granular computing based machine learning in the era of big dataQinghua Hu, Jusheng Mi, Degang Chen. isci, 591:422-423, 2022. [doi]

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited DataYidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu. tii, 18(6):3894-3904, 2022. [doi]

Deep-LIFT: Deep Label-Specific Feature Learning for Image AnnotationJunbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu. tcyb, 52(8):7732-7741, 2022. [doi]

Uncertainty Measured Active Client Selection for Federated Learning in Smart GridPengfei Li, Yunfeng Zhao, Liandong Chen, Kai Cheng, Chuyue Xie, Xiaofei Wang, Qinghua Hu. smartiot 2022: 148-153 [doi]

Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain AdaptationJing Li, Liu Yang, Qinghua Hu. pricai 2022: 542-554 [doi]

Semisupervised Laplace-Regularized Multimodality Metric LearningJianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu. tcyb, 52(5):2955-2967, 2022. [doi]

MULFE: Multi-Label Learning via Label-Specific Feature Space EnsembleYaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu 0001, Xindong Wu 0001. tkdd, 16(1), 2022. [doi]

RCANet: Row-Column Attention Network for Semantic SegmentationBingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu. icassp 2022: 2604-2608 [doi]

Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic SegmentationJunwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang 0106, Dingwen Zhang, Junwei Han, Qinghua Hu. ijcv, 130(5):1181-1195, 2022. [doi]

Credible Internet of Intelligence Toward Future Multidimensional ConnectionChao Qiu, Haotian Qi, Zhicheng Liu, Xiaofei Wang 0001, Jing Jiang, Qinghua Hu. network, 36(3):106-113, 2022. [doi]

DetFusion: A Detection-driven Infrared and Visible Image Fusion NetworkYiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu. mm 2022: 4003-4011 [doi]

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware LearningYiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu. tcsv, 32(10):6700-6713, 2022. [doi]

DropCov: A Simple yet Effective Method for Improving Deep ArchitecturesQilong Wang, Mingze Gao, ZhaoLin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu. nips 2022: [doi]

Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance SystemsZhuohang Wang, Yunfeng Zhao, Yong Wang, Li Yan, Zhicheng Liu, Chao Qiu, Xiaofei Wang 0001, Qinghua Hu. apweb 2023: 209-223 [doi]

CrabNet: Fully Task-Specific Feature Learning for One-Stage Object DetectionHao Wang, Qilong Wang, Hongzhi Zhang, Qinghua Hu, Wangmeng Zuo. TIP, 31:2962-2974, 2022. [doi]

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled ScenesLiu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu. tcyb, 52(3):1429-1442, 2022. [doi]

Deep Partial Multi-View LearningChangqing Zhang, yajie cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu. pami, 44(5):2402-2415, 2022. [doi]

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance SegmentationZhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo. tcyb, 52(8):8574-8586, 2022. [doi]

Detection and Tracking Meet Drones ChallengePengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling. pami, 44(11):7380-7399, 2022. [doi]

Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set RecognitionPengfei Zhu, Wanying Zhang, Yu Wang 0106, Qinghua Hu. ijsi, 12(2):157-175, 2022. [doi]

Self-Supervised Fully Automatic Learning Machine for Intelligent Retail ContainerPengfei Zhu, Yiming Sun, Bing Cao, Xiaoyu Liu, Xin Liu, Qinghua Hu. tim, 71:1-15, 2022. [doi]

2021

PA-Net: Learning local features using by pose attention for short-term person re-identificationKai Wang 0001, Shichao Dong, Nian Liu, Junhui Yang, Tao Li, Qinghua Hu. isci, 565:196-209, 2021. [doi]

Self-paced hierarchical metric learning (SPHML)Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang 0106, Abdulrahman Al-Badwi. mlc, 12(9):2529-2541, 2021. [doi]

Probability granular distance-based fuzzy rough set modelShuang An, Qinghua Hu, Changzhong Wang. asc, 102:107064, 2021. [doi]

MGFL: Multi-granularity Federated Learning in Edge Computing SystemsShangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang 0001, Qinghua Hu. ica3pp 2022: 549-563 [doi]

RED-Nets: Redistribution Networks for Multi-View ClassificationHaijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu. inffus, 65:119-127, 2021. [doi]

Temporal-attentive Covariance Pooling Networks for Video RecognitionZilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li. nips 2021: 13587-13598 [doi]

Uncertainty-Aware Multi-View Representation LearningYu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu. AAAI 2021: 7545-7553 [doi]

On the applicability of two-bit carbon nanotube through-silicon via for power distribution networks in 3-D integrated circuitsQinghua Hu, Wen-Sheng Zhao, Kai Fu, Da-Wei Wang, Gaofeng Wang. iet-cds, 15(1):20-26, 2021. [doi]

Adaptive Nonconvex Sparsity Based Background Subtraction for Intelligent Video SurveillanceLinhao Li, Zhen Wang, Qinghua Hu, Yongfeng Dong. tii, 17(6):4168-4178, 2021. [doi]

T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain AdaptationRuihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu. iccv 2021: 9971-9980 [doi]

Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence DataShuyu Liu, Liu Yang, Qinghua Hu. ijait, 30(3), 2021. [doi]

Low-rank adaptive graph embedding for unsupervised feature extractionJianglin Lu, Hailing Wang, Jie Zhou 0009, Yudong Chen 0002, Zhihui Lai, Qinghua Hu. PR, 113:107758, 2021. [doi]

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma DistributionsHuan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. nips 2021: 6881-6893 [doi]

A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and ClassificationZhi-gang Su, Qinghua Hu, Thierry Denoeux. tfs, 29(8):2322-2335, 2021. [doi]

Multi-View Information-Bottleneck Representation LearningZhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu. AAAI 2021: 10085-10092 [doi]

Cross-View Equivariant Auto-EncoderZhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng 0001, Pengfei Zhu, Qinghua Hu. icmcs 2021: 1-6 [doi]

Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary ConditionsFei Wang, Ruonan Liu, Qinghua Hu, XueFeng Chen. tii, 17(4):2511-2521, 2021. [doi]

Detection, Tracking, and Counting Meets Drones in Crowds: A BenchmarkLongyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu. cvpr 2021: 7812-7821 [doi]

Open set recognition through Monte Carlo dropout-based uncertaintyXiaojie Yin, Qinghua Hu, Gerald Schaefer. ijbic, 18(4):210-220, 2021. [doi]

A Multilevel Inference Mechanism for User Attributes over Social NetworksHang Zhang, Yajun Yang, Xin Wang 0030, Hong Gao 0001, Qinghua Hu, Dan Yin. dasfaa 2021: 710-718 [doi]

A Recursive Regularization Based Feature Selection Framework for Hierarchical ClassificationHong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang 0106, Ping Wang. tkde, 33(7):2833-2846, 2021. [doi]

Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and SolutionYunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiuhua Li, Xiaofei Wang, Qinghua Hu. wc, 28(5):200-208, 2021. [doi]

Multi-Drone-Based Single Object Tracking With Agent Sharing NetworkPengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu. tcsv, 31(10):4058-4070, 2021. [doi]

Graph Regularized Flow Attention Network for Video Animal Counting From DronesPengfei Zhu, Tao Peng, Dawei Du, Hongtao Yu, Libo Zhang, Qinghua Hu. TIP, 30:5339-5351, 2021. [doi]

2020

Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised LearningBinyuan Hui, Pengfei Zhu, Qinghua Hu. AAAI 2020: 4215-4222 [doi]

Face sketch-to-photo transformation with multi-scale self-attention GANYingtao Lei, Weiwei Du, Qinghua Hu. ijon, 396:13-23, 2020. [doi]

Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputationDong Li, Linhao Li, Xianling Li, Zhiwu Ke, Qinghua Hu. ijon, 411:351-363, 2020. [doi]

Optimized high order product quantization for approximate nearest neighbors searchLinhao Li, Qinghua Hu. fcsc, 14(2):259-272, 2020. [doi]

An Index Method for the Shortest Path Query on Vertex Subset for the Large GraphsZian Pan, Yajun Yang, Qinghua Hu. apweb 2020: 69-85 [doi]

Optimal feasible step-size based working set selection for large scale SVMs trainingShili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang. ijon, 407:366-375, 2020. [doi]

Neural Blind Deconvolution Using Deep PriorsDongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo. cvpr 2020: 3338-3347 [doi]

Single Image Deraining Using Bilateral Recurrent NetworkDongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo. TIP, 29:6852-6863, 2020. [doi]

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksQilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu. cvpr 2020: 11531-11539 [doi]

Feature Selection Based on Neighborhood Self-InformationChangzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen. tcyb, 50(9):4031-4042, 2020. [doi]

Convolutional Reconstruction-to-Sequence for Video CaptioningAming Wu, Yahong Han, Yi Yang 0001, Qinghua Hu, Fei Wu 0001. tcsv, 30(11):4299-4308, 2020. [doi]

Adaptive Sample-Level Graph Combination for Partial Multiview ClusteringLiu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li. TIP, 29:2780-2794, 2020. [doi]

Fuzzy dynamic timetable scheduling for public transitYanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca Ralescu. fss, 395:235-253, 2020. [doi]

Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot ClassificationPengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu. icip 2020: 196-200 [doi]

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