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2020 – today
- 2025
[j245]Zonghao Lu
, Bing Cao, Shuyin Xia, Qinghua Hu:
Geometry-semantic aware for monocular 3D Semantic Scene Completion. Pattern Recognit. 158: 111030 (2025)- 2024
- [j244]Xiangling Zhu, Qinghua Hu:
Sums of Generalized Weighted Composition Operators from Weighted Bergman Spaces Induced by Doubling Weights into Bloch-Type Spaces. Axioms 13(8): 530 (2024) - [j243]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: 220-232 (2024) - [j242]Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu:
VADS: Visuo-Adaptive DualStrike attack on visual question answer. Comput. Vis. Image Underst. 249: 104137 (2024) - [j241]Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu:
Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering. Int. J. Comput. Vis. 132(9): 3847-3866 (2024) - [j240]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: 127062 (2024) - [j239]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: 102087 (2024) - [j238]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: 102179 (2024) - [j237]Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024) - [j236]Kaidi Hu, Zongxia Xie, Qinghua Hu:
Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. 146: 105053 (2024) - [j235]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: 115943 (2024) - [j234]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: 111595 (2024) - [j233]Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu:
Exploring and exploiting hierarchical structures for large-scale classification. Int. J. Mach. Learn. Cybern. 15(6): 2427-2437 (2024) - [j232]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): 2987-3003 (2024) - [j231]Siyu Xiong, Lili Pan, Xueqiang Ma, Qinghua Hu, Eric Beckman:
Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval. Int. J. Mach. Learn. Cybern. 15(10): 4423-4434 (2024) - [j230]Qinghua Hu, Luona Ji, Yu Wang, Shuai Zhao, Zhibin Lin:
Uncertainty-driven active developmental learning. Pattern Recognit. 151: 110384 (2024) - [j229]Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Soft independence guided filter pruning. Pattern Recognit. 153: 110488 (2024) - [j228]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): 2648-2662 (2024) - [j227]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): 3017-3029 (2024) - [j226]Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu:
Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. 54(7): 4280-4293 (2024) - [j225]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): 1987-1996 (2024) - [j224]Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu:
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33: 1977-1989 (2024) - [j223]Wenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu:
Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Trans. Image Process. 33: 6439-6454 (2024) - [j222]Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Xinbo Gao, Qinghua Hu, Yabin Shao:
Granular-Ball Fuzzy Set and Its Implement in SVM. IEEE Trans. Knowl. Data Eng. 36(11): 6293-6304 (2024) - [j221]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: 995-1010 (2024) - [j220]Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024) - [j219]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): 5656-5670 (2024) - [j218]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): 7548-7562 (2024) - [j217]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): 9728-9742 (2024) - [j216]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): 10394-10406 (2024) - [c167]Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multimodal Tracking. AAAI 2024: 927-935 - [c166]Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. AAAI 2024: 5731-5739 - [c165]Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. AAAI 2024: 11927-11935 - [c164]Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI 2024: 13782-13789 - [c163]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: 17184-17192 - [c162]Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu:
Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. APWeb/WAIM (2) 2024: 467-482 - [c161]Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CVPR 2024: 7099-7108 - [c160]Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR 2024: 17480-17489 - [c159]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR 2024: 23323-23333 - [c158]Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu:
Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. DASFAA (6) 2024: 84-100 - [c157]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. ICML 2024 - [c156]Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu:
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML 2024 - [c155]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. IJCAI 2024: 1317-1325 - [c154]Guoliang Qi, Bing Cao, Qinghua Hu:
Exploring What to Share for Multimodal Image Synthesis. IJCNN 2024: 1-8 - [c153]Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, Qinghua Hu:
CP2GFed: Cross-granular and Personalized Prompt-based Green Federated Tuning for Giant Models. IWQoS 2024: 1-10 - [i66]Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. CoRR abs/2401.06521 (2024) - [i65]Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. CoRR abs/2401.06595 (2024) - [i64]Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao:
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR abs/2402.08384 (2024) - [i63]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 abs/2403.00376 (2024) - [i62]Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu:
Task-Customized Mixture of Adapters for General Image Fusion. CoRR abs/2403.12494 (2024) - [i61]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR abs/2404.08958 (2024) - [i60]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 abs/2404.13348 (2024) - [i59]Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu:
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective. CoRR abs/2404.14109 (2024) - [i58]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 abs/2404.18947 (2024) - [i57]Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu:
Visible and Clear: Finding Tiny Objects in Difference Map. CoRR abs/2405.11276 (2024) - [i56]Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu:
Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR abs/2405.18975 (2024) - [i55]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. CoRR abs/2406.04802 (2024) - [i54]Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu:
Fine-Grained Domain Generalization with Feature Structuralization. CoRR abs/2406.09166 (2024) - [i53]Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang:
DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR abs/2409.19375 (2024) - [i52]Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu:
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR abs/2410.09836 (2024) - [i51]Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang:
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. CoRR abs/2410.11576 (2024) - 2023
- [j215]Qinghua Hu, Mingxuan Zhu:
Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation. Appl. Math. Lett. 143: 108667 (2023) - [j214]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: 103464 (2023) - [j213]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): 1995-2014 (2023) - [j212]Hongzhi Huang, Yu Wang, Qinghua Hu:
Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. 14(7): 2575-2590 (2023) - [j211]Dicong Wang, Qinghua Hu, Kaijun Wu:
Dual-branch network with memory for video anomaly detection. Multim. Syst. 29(1): 247-259 (2023) - [j210]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): 2226-2245 (2023) - [j209]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): 4214-4228 (2023) - [j208]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): 15802-15819 (2023) - [j207]Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu:
Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. 140: 109485 (2023) - [j206]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): 2202-2216 (2023) - [j205]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): 2451-2464 (2023) - [j204]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): 4552-4563 (2023) - [j203]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): 5133-5147 (2023) - [j202]Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu:
OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6777-6787 (2023) - [j201]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): 7197-7211 (2023) - [j200]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): 1726-1734 (2023) - [j199]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): 5964-5976 (2023) - [j198]Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. 35(7): 7263-7277 (2023) - [j197]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: 1462-1476 (2023) - [j196]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: 3033-3045 (2023) - [j195]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: 3420-3431 (2023) - [j194]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): 761-774 (2023) - [j193]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): 6015-6028 (2023) - [j192]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): 10851-10863 (2023) - [j191]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): 39:1-39:30 (2023) - [c152]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: 156-169 - [c151]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR 2023: 19873-19882 - [c150]Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - [c149]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: 172-182 - [c148]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. ICCV 2023: 11769-11779 - [c147]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: 19220-19230 - [c146]Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu:
Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV 2023: 23498-23507 - [c145]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: 853-863 - [c144]Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao:
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. ICDM 2023: 1091-1096 - [c143]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: 2675-2680 - [c142]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450 - [c141]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: 41753-41769 - [c140]Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao:
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. NeurIPS 2023 - [c139]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 - [c138]Qinghua Hu, Chunxiang Xu, Wanpeng Li:
A Broadband Subliminal Channel in Signatures Without Sharing the Signing Key. TrustCom 2023: 814-822 - [i50]Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. CoRR abs/2302.01392 (2023) - [i49]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 abs/2303.13217 (2023) - [i48]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 abs/2304.04148 (2023) - [i47]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR abs/2304.05165 (2023) - [i46]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. CoRR abs/2306.01265 (2023) - [i45]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023) - [i44]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. CoRR abs/2307.11342 (2023) - [i43]