Qinghua Hu - researchr alias

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Viewing Publication 1 - 100 from 406

2024

Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd CountingPengfei Zhu 0001, Jingqing Li, Bing Cao, Qinghua Hu. tnn, 35(8):10394-10406, August 2024. [doi]

Multiview Deep Subspace Clustering NetworksPengfei Zhu 0001, Xinjie Yao, Yu Wang 0106, Binyuan Hui, Dawei Du, Qinghua Hu. tcyb, 54(7):4280-4293, July 2024. [doi]

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph ClusteringPengfei Zhu 0001, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu. AAAI 2024: 17184-17192 [doi]

VADS: Visuo-Adaptive DualStrike attack on visual question answerBoyuan Zhang 0003, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu. cviu, 249:104137, 2024. [doi]

Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid FusionQing Li 0018, Changqing Zhang, Qinghua Hu, Pengfei Zhu 0001, Huazhu Fu, Lei Chen 0011. tcsv, 34(4):3017-3029, April 2024. [doi]

Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal ClusteringYu Wang 0106, Xinjie Yao, Pengfei Zhu 0001, Weihao Li, Meng Cao, Qinghua Hu. ijcv, 132(9):3847-3866, September 2024. [doi]

Improved generative adversarial network with deep metric learning for missing data imputationMohammed Al-taezi, Yu Wang 0106, Pengfei Zhu 0001, Qinghua Hu, Abdulrahman Al-Badwi. ijon, 570:127062, February 2024. [doi]

ID-like Prompt Learning for Few-Shot Out-of-Distribution DetectionYichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang. cvpr 2024: 17480-17489 [doi]

Bi-directional Adapter for Multimodal TrackingBing Cao, Junliang Guo, Pengfei Zhu 0001, Qinghua Hu. AAAI 2024: 927-935 [doi]

Predictive Dynamic FusionBing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu. icml 2024: [doi]

Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face TranslationBing Cao, Qinghe Wang, Pengfei Zhu 0001, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao 0001. tnn, 35(7):9728-9742, July 2024. [doi]

Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image SynthesisBing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu 0001, Changqing Zhang, Qinghua Hu. tmm, 26:995-1010, 2024. [doi]

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual LearningYan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu. AAAI 2024: 11927-11935 [doi]

Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion PredictionZihan Feng, Rui Wu, Yajun Yang, Hong Gao 0001, Xin Wang, Xueli Liu, Qinghua Hu. dasfaa 2024: 84-100 [doi]

A principled framework for explainable multimodal disentanglementZongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang. isci, 675:120768, 2024. [doi]

Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentationKaidi Hu, Zongxia Xie, Qinghua Hu. cg, 118:220-232, 2024. [doi]

ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentationKaidi Hu, Zongxia Xie, Qinghua Hu. mlc, 15(7):2987-3003, July 2024. [doi]

Uncertainty-driven active developmental learningQinghua Hu, Luona Ji, Yu Wang, Shuai Zhao, Zhibin Lin. PR, 151:110384, 2024. [doi]

DiagPara: Volumetric parameterization with energy-minimizing pair of diagonal surfaces from given boundariesXiaowei Li, Qinghua Hu, Renshu Gu, Jinlan Xu, Haiyan Wu, Gang Xu 0001. jcam, 449:115943, 2024. [doi]

Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision TransformerJing Li, Liu Yang, Qinghua Hu. tcsv, 34(4):2648-2662, April 2024. [doi]

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake BoundYun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang. AAAI 2024: 13782-13789 [doi]

Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-viewYun Liao, Yong Liu 0018, Shizhong Liao, Qinghua Hu, Jianwu Dang. inffus, 103:102087, March 2024. [doi]

SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo labelLili Pan, Weizhi Shao, Siyu Xiong, Qianhui Lei, Shiqi Huang, Eric Beckman, Qinghua Hu. kbs, 292:111595, 2024. [doi]

Exploring What to Share for Multimodal Image SynthesisGuoliang Qi, Bing Cao, Qinghua Hu. ijcnn 2024: 1-8 [doi]

Uncertainty-Aware Aggregation for Federated Open Set Domain AdaptationZixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen. tnn, 35(6):7548-7562, June 2024. [doi]

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot LearningYuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu 0001, Qinghua Hu. cvpr 2024: 23323-23333 [doi]

Layer-Specific Knowledge Distillation for Class Incremental Semantic SegmentationQilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu. TIP, 33:1977-1989, 2024. [doi]

Exploring Diverse Representations for Open Set RecognitionYu Wang, Junxian Mu, Pengfei Zhu 0001, Qinghua Hu. AAAI 2024: 5731-5739 [doi]

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial ProcessesHao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou. tii, 20(2):1987-1996, February 2024. [doi]

Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrievalSiyu Xiong, Lili Pan 0002, Xueqiang Ma, Qinghua Hu, Eric Beckman. mlc, 15(10):4423-4434, October 2024. [doi]

Dual-View Stack State Learning Network for Attribute-Based Container Location AssignmentRong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu. apweb 2024: 467-482 [doi]

Soft independence guided filter pruningLiu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu. PR, 153:110488, 2024. [doi]

Socialized Learning: Making Each Other Better Through Multi-Agent CollaborationXinjie Yao, Yu Wang 0106, Pengfei Zhu 0001, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu. icml 2024: [doi]

Learning Dynamic Compact Memory Embedding for Deformable Visual Object TrackingHongtao Yu, Pengfei Zhu 0001, Kaihua Zhang, Yu Wang 0106, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu. tnn, 35(4):5656-5670, April 2024. [doi]

Cascade & allocate: A cross-structure adversarial attack against models fusing vision and languageBoyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding. inffus, 104:102179, April 2024. [doi]

Autoencoder in Autoencoder NetworksChangqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu. tnn, 35(2):2263-2275, February 2024. [doi]

Exploring and exploiting hierarchical structures for large-scale classificationJunyan Zheng, Yu Wang 0106, Shenglei Pei, Qinghua Hu. mlc, 15(6):2427-2437, June 2024. [doi]

Task-Customized Mixture of Adapters for General Image FusionPengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu. cvpr 2024: 7099-7108 [doi]

Sums of Generalized Weighted Composition Operators from Weighted Bergman Spaces Induced by Doubling Weights into Bloch-Type SpacesXiangling Zhu, Qinghua Hu. axioms, 13(8):530, August 2024. [doi]

2023

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph ClusteringPengfei Zhu 0001, Jialu Li, Yu Wang 0106, Bin Xiao 0002, Shuai Zhao, Qinghua Hu. tnn, 34(12):10851-10863, December 2023. [doi]

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]

Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image FusionBing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu. iccv 2023: 23498-23507 [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]

AREA: Adaptive Reweighting via Effective Area for Long-Tailed ClassificationXiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang. iccv 2023: 19220-19230 [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]

Tuning Pre-trained Model via Moment ProbingMingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou. iccv 2023: 11769-11779 [doi]

A Broadband Subliminal Channel in Signatures Without Sharing the Signing KeyQinghua Hu, Chunxiang Xu, Wanpeng Li. trustcom 2023: 814-822 [doi]

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

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]

OpenMix+: Revisiting Data Augmentation for Open Set RecognitionGuosong Jiang, Pengfei Zhu, Yu Wang 0106, Qinghua Hu. tcsv, 33(11):6777-6787, November 2023. [doi]

Public Opinion Field Effect Fusion in Representation Learning for Trending Topics DiffusionJunliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao. nips 2023: [doi]

Hierarchical Label Inference Incorporating Attribute Semantics in Attributed NetworksJunliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao 0001. icdm 2023: 1091-1096 [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]

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic InteractionYi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu 0001. cicai 2024: 156-169 [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]

Fairness-guided Few-shot Prompting for Large Language ModelsHuan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu. nips 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]

SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud SystemsZiwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang 0030, Xiaofei Wang, Qinghua Hu. icdcs 2023: 853-863 [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]

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization PerspectiveQilong Wang, ZhaoLin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu. pami, 45(12):15802-15819, December 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]

Skeleton Neural Networks via Low-Rank Guided Filter PruningLiu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu. tcsv, 33(12):7197-7211, December 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]

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]

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]

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

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]

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

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]

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]

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]

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

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]

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]

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]

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