Qinghua Hu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 349

Top Venues

CoRR

IEEE Trans. Circuits Syst. Video Technol.

Inf. Sci.

Pattern Recognit.

Publications

Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
Fine-Grained Domain Generalization with Feature Structuralization. CoRR (2024)
Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20 (2) (2024)
Pengfei Zhu, Jingqing Li, Bing Cao, Qinghua Hu
Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Bi-directional Adapter for Multimodal Tracking. AAAI (2024)
Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu
Visible and Clear: Finding Tiny Objects in Difference Map. CoRR (2024)
Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. AAAI (2024)
Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Kaidi Hu, Zongxia Xie, Qinghua Hu
Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. 146 (2024)
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
Exploring Diverse Representations for Open Set Recognition. CoRR (2024)
Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR (2024)
Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. AAAI (2024)
Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. CoRR (2024)
Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Qinghua Hu, Victor C. M. Leung
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems. CoRR (2024)
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Trans. Multim. 26 (2024)
Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33 (2024)
Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding
Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion 104 (2024)
Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective. CoRR (2024)
Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR (2024)
Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR (2024)
Jing Li, Liu Yang, Qinghua Hu
Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
Predictive Dynamic Fusion. CoRR (2024)
Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675 (2024)
Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI (2024)
Lili Pan, Weizhi Shao, Siyu Xiong, Qianhui Lei, Shiqi Huang, Eric Beckman, Qinghua Hu
SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label. Knowl. Based Syst. 292 (2024)
Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu
Task-Customized Mixture of Adapters for General Image Fusion. CoRR (2024)
Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Qinghua Hu, Luona Ji, Yu Wang, Shuai Zhao, Zhibin Lin
Uncertainty-driven active developmental learning. Pattern Recognit. 151 (2024)
Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang
Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view. Inf. Fusion 103 (2024)
Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
Soft independence guided filter pruning. Pattern Recognit. 153 (2024)
Xiaowei Li, Qinghua Hu, Renshu Gu, Jinlan Xu, Haiyan Wu, Gang Xu
DiagPara: Volumetric parameterization with energy-minimizing pair of diagonal surfaces from given boundaries. J. Comput. Appl. Math. 449 (2024)
Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR (2024)
Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu
Exploring and exploiting hierarchical structures for large-scale classification. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Kaidi Hu, Zongxia Xie, Qinghua Hu
Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation. Comput. Graph. 118 (2024)
Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR (2024)
Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu
Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. 54 (7) (2024)
Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi
Improved generative adversarial network with deep metric learning for missing data imputation. Neurocomputing 570 (2024)
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
Exploring Diverse Representations for Open Set Recognition. AAAI (2024)
Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Kaidi Hu, Zongxia Xie, Qinghua Hu
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. Int. J. Mach. Learn. Cybern. 15 (7) (2024)
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. ICDM (2023)
Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu
Reliable and Interpretable Personalized Federated Learning. CVPR (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. CoRR (2023)
Guanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu
Cross-Drone Transformer Network for Robust Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML (2023)
Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu
Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
Semantic Equivariant Mixup. CoRR (2023)
Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR (2023)
Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Calibrating Multimodal Learning. ICML (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR (2023)
Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
Bi-directional Adapter for Multi-modal Tracking. CoRR (2023)
Qinghua Hu, Mingxuan Zhu
Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation. Appl. Math. Lett. 143 (2023)
Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu
MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Trans. Inf. Syst. 41 (2) (2023)
Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen
Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. 131 (8) (2023)
Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu
OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (11) (2023)
Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. CoRR (2023)
Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. NeurIPS (2023)
Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR (2023)
Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. 33 (12) (2023)
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. IEEE Trans. Multim. 25 (2023)
Qinghua Hu, Chunxiang Xu, Wanpeng Li
A Broadband Subliminal Channel in Signatures Without Sharing the Signing Key. TrustCom (2023)
Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu
MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. DASFAA (3) (2023)
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR (2023)
Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV (2023)
Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
Tuning Pre-trained Model via Moment Probing. CoRR (2023)
Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu
SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. ICDCS (2023)
Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. ICCV (2023)
Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25 (2023)
Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. IEEE Trans. Multim. 25 (2023)
Xiaowei Li, Qinghua Hu, Gang Xu, Long Qi, Haiyan Wu, Yufei Pang
DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs. Comput. Aided Des. 156 (2023)
Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33 (9) (2023)
Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140 (2023)
Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME (2023)
Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
Tuning Pre-trained Model via Moment Probing. ICCV (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS (2023)
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
Reweighted Mixup for Subpopulation Shift. CoRR (2023)
Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. CoRR (2023)
Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu
Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Calibrating Multimodal Learning. CoRR (2023)
Hongzhi Huang, Yu Wang, Qinghua Hu
Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) (2023)
Dicong Wang, Qinghua Hu, Kaijun Wu
Dual-branch network with memory for video anomaly detection. Multim. Syst. 29 (1) (2023)
Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR (2023)
Huitong Chen, Yu Wang, Qinghua Hu
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu
RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP (2022)
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation. CoRR (2022)
Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling
Detection and Tracking Meet Drones Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su
Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Trans. Cybern. 52 (9) (2022)
Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. 52 (8) (2022)
Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu
Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. 52 (5) (2022)
Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586 (2022)

Qinghua Hu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Qinghua Hu