Qinghua Hu - researchr alias

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Viewing Publication 1 - 100 from 436

2025

RTF: Recursive TransFusion for Multi-Modal Image SynthesisBing Cao 0002, Guoliang Qi, Jiaming Zhao, Pengfei Zhu 0001, Qinghua Hu, Xinbo Gao 0001. TIP, 34:1573-1587, 2025. [doi]

Asymmetric Reinforcing Against Multi-Modal Representation BiasXiyuan Gao, Bing Cao 0002, Pengfei Zhu 0001, Nannan Wang 0001, Qinghua Hu. AAAI 2025: 16754-16762 [doi]

Optimizing apnea-hypopnea event detection in pediatric OSAHS diagnosis: An enhanced genetic algorithm approachLinwen Jiang, Min Li, Jing Jiang, Qinghua Hu. bspc, 103:107428, 2025. [doi]

Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity PredictionJunliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao 0001. AAAI 2025: 12076-12083 [doi]

Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inferencePengfei Li, Qinghua Hu, Xiaofei Wang. NN, 185:107135, 2025. [doi]

Dual-Cohesion Metric Learning for Few-Shot Hand-Based Multimodal RecognitionShuyi Li, Bob Zhang 0001, Qinghua Hu. tifs, 20:3566-3575, 2025. [doi]

Geometry-semantic aware for monocular 3D Semantic Scene CompletionZonghao Lu, Bing Cao, Shuyin Xia, Qinghua Hu. PR, 158:111030, 2025. [doi]

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation ModelHuan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu. AAAI 2025: 19296-19304 [doi]

A Dissimilarity Measure Powered Feature Weighted Fuzzy C-Means Algorithm for Gene Expression DataNing Ma, Qinghua Hu, Kaijun Wu 0001, Yubin Yuan. tfs, 33(1):192-202, January 2025. [doi]

Hierarchical Classification Auxiliary Network for Time Series ForecastingYanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu. AAAI 2025: 20743-20751 [doi]

Multi-Granularity Weighted Federated Learning for Heterogeneous Edge ComputingYunfeng Zhao, Chao Qiu, Shangxuan Cai, Zhicheng Liu, Yu Wang 0106, Xiaofei Wang 0001, Qinghua Hu. tsc, 18(1):270-287, January - February 2025. [doi]

2024

AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action RecognitionQilong Wang 0001, Qiyao Hu, Zilin Gao, Peihua Li, Qinghua Hu. tnn, 35(12):18731-18745, December 2024. [doi]

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]

Conditional Controllable Image FusionBing Cao 0002, Xingxin Xu, Pengfei Zhu 0001, Qilong Wang 0001, Qinghua Hu. nips 2024: [doi]

Test-Time Dynamic Image FusionBing Cao 0002, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu. nips 2024: [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]

Visible and Clear: Finding Tiny Objects in Difference MapBing Cao, Haiyu Yao, Pengfei Zhu 0001, Qinghua Hu. eccv 2025: 1-18 [doi]

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

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

Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial ProcessesDongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding. tnn, 35(12):18635-18648, December 2024. [doi]

Persistence Homology Distillation for Semi-supervised Continual LearningYan Fan, Yu Wang 0106, Pengfei Zhu 0001, Dongyue Chen, Qinghua Hu. nips 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]

2GFed: Cross-granular and Personalized Prompt-based Green Federated Tuning for Giant ModelsFei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang 0001, Haipeng Yao, Qinghua Hu. iwqos 2024: 1-10 [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]

Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentationKaidi Hu, Zongxia Xie, Qinghua Hu. ivc, 146:105053, 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]

What Matters in Graph Class Incremental Learning? An Information Preservation PerspectiveJialu Li, Yu Wang 0106, Pengfei Zhu 0001, Wanyu Lin, Qinghua Hu. nips 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]

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]

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]

LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene CompletionZonghao Lu, Bing Cao, Qinghua Hu. tcsv, 34(12):12330-12344, December 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]

Regression-Based Hyperparameter Learning for Support Vector MachinesShili Peng, Wenwu Wang 0001, Yinli Chen, Xueling Zhong, Qinghua Hu. tnn, 35(12):18799-18813, December 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]

Dynamic Brightness Adaptation for Robust Multi-modal Image FusionYiming Sun, Bing Cao, Pengfei Zhu 0001, Qinghua Hu. IJCAI 2024: 1317-1325 [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]

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]

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]

Granular-Ball Fuzzy Set and Its Implement in SVMShuyin Xia, Xiaoyu Lian, Guoyin Wang 0001, Xinbo Gao 0001, Qinghua Hu, Yabin Shao. tkde, 36(11):6293-6304, November 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]

Out-Of-Distribution Detection with Diversification (Provably)Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng 0001, Qinghua Hu, Changqing Zhang. nips 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]

Explainability Enhanced Object Detection Transformer With Feature DisentanglementWenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu. TIP, 33:6439-6454, 2024. [doi]

EPAAMap: Enhanced Parallel Attention Aggregation HD Semantic Map in Complex Traffic ScenariosJingtao Zhang, Xiangxiang Wang, Yongbing Yu, Qinghua Hu, Lirui Xue, Qi He, Manping Fan, Liyong Ren. dsit 2024: 1-7 [doi]

The Best of Both Worlds: On the Dilemma of Out-of-distribution DetectionQingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang. nips 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]

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]

A Socialized Learning-Based Scheduling Framework in Intricate Edge CloudsYunfeng Zhao, Ziwei Wang, Chao Qiu, Qiang He 0001, Dusit Niyato, Xin Wang 0030, Xiaofei Wang 0001, Qinghua Hu. tsc, 17(6):3092-3109, November - December 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]

Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation ShiftYan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. pricai 2025: 16-28 [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]

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]

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]

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]

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]

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]

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

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