Qinghua Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
142
Venues
34
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*AAAI17 papers
- A*CVPR16 papers
- A*ECCV10 papers
- A*ICCV9 papers
- A*ICML8 papers
- A*IJCAI8 papers
- BIJCNN7 papers
- BPRICAI7 papers
- CICANN6 papers
- CAPWEB5 papers
- BICONIP5 papers
- BPAKDD5 papers
- MulticonferenceICASSP4 papers
- BICIP4 papers
- AICDCS3 papers
- A*WWW3 papers
- BDASFAA3 papers
- NationalGRC3 papers
- A*ICLR2 papers
- A*ICDM2 papers
- NationalICMLC2 papers
- A*ACL1 paper
- A*KDD1 paper
- BIWQoS1 paper
- BTrustCom1 paper
- CICA3PP1 paper
- ACIKM1 paper
- BICTAI1 paper
- CSNPD1 paper
- AInterspeech1 paper
- CACML1 paper
- CISNN1 paper
- NationalICNC1 paper
- ASDM1 paper
Papers
142 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective. | Tianqi Jiang, Liu Yang, Xi-Le Zhao, Zixuan Qin, Qinghua Hu |
| 2026 | AAAI | CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion. | Yiming Sun, Yuan Ruan, Qinghua Hu, Pengfei Zhu |
| 2026 | AAAI | Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. | Xingxin Xu, Bing Cao, Dongdong Li, Qinghua Hu, Pengfei Zhu |
| 2026 | ICDCS | Sandwich: Synergizing Hierarchical Coordination with Fine-Grained Serverless Orchestration. | Yunfeng Zhao, Chao Qiu, Weijie Guo, Chenxuan Hou, Yuting Li, Xiaofei Wang, Qinghua Hu |
| 2026 | WWW | Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades. | Zihan Feng, Yajun Yang, Xin Huang, Xin Wang, Hong Gao, Qinghua Hu |
| 2026 | WWW | LLM-Driven Semantic ID for Information Diffusion Prediction. | Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu |
| 2025 | AAAI | Asymmetric Reinforcing Against Multi-Modal Representation Bias. | Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu |
| 2025 | AAAI | Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. | Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao |
| 2025 | AAAI | Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. | Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu |
| 2025 | AAAI | Hierarchical Classification Auxiliary Network for Time Series Forecasting. | Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu |
| 2025 | ACL | Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner's Dilemma. | Weiqi Zeng, Bo Wang, Dongming Zhao, Zongfeng Qu, Ruifang He, Yuexian Hou, Qinghua Hu |
| 2025 | CVPR | Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds. | Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu |
| 2025 | CVPR | TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. | Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu |
| 2025 | CVPR | CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. | Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu |
| 2025 | ICASSP | Influence-Based Channel Reweighting for Multivariate Time Series Forecasting. | Yipu Liu, Zheng Wang, Qinghua Hu |
| 2025 | ICASSP | Self-Convolutional Attention-Based Uncertainty-Aware Network for Single-Image Super-Resolution. | Jinbin Wang, Aiping Yang, Zihao Wei, Qinghua Hu |
| 2025 | ICCV | Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. | Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2025 | ICCV | Unknown Text Learning for Clip-Based Few-Shot Open-Set Recognition. | Rui Ma, Qilong Wang, Bing Cao, Qinghua Hu, Yahong Han |
| 2025 | ICCV | DALIP: Distribution Alignment-Based Language-Image Pre-Training for Domain-Specific Data. | Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu |
| 2025 | ICLR | Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. | Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2025 | ICLR | Asymmetric Factorized Bilinear Operation for Vision Transformer. | Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu |
| 2025 | ICML | Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion. | Yiming Sun, Xin Li, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Huiying Xu, Xinzhong Zhu |
| 2025 | ICML | Patch-wise Structural Loss for Time Series Forecasting. | Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu |
| 2025 | ICML | Online Clustering of Dueling Bandits. | Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai |
| 2025 | ICML | Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu |
| 2025 | KDD | Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. | Zihan Feng, Yajun Yang, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu |
| 2025 | WWW | Hyperbolic-Euclidean Deep Mutual Learning. | Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu |
| 2024 | AAAI | Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. | Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu |
| 2024 | AAAI | Bi-directional Adapter for Multimodal Tracking. | Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu |
| 2024 | AAAI | Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. | Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu |
| 2024 | AAAI | Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. | Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang |
| 2024 | AAAI | Exploring Diverse Representations for Open Set Recognition. | Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu |
| 2024 | APWEB | Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. | Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu |
| 2024 | CVPR | ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. | Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang |
| 2024 | CVPR | AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. | Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu |
| 2024 | CVPR | Task-Customized Mixture of Adapters for General Image Fusion. | Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu |
| 2024 | DASFAA | Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. | Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu |
| 2024 | ECCV | Visible and Clear: Finding Tiny Objects in Difference Map. | Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu |
| 2024 | ICML | Predictive Dynamic Fusion. | Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu |
| 2024 | ICML | Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. | Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu |
| 2024 | IJCAI | Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. | Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu |
| 2024 | IJCNN | Exploring What to Share for Multimodal Image Synthesis. | Guoliang Qi, Bing Cao, Qinghua Hu |
| 2024 | IWQoS | CP | Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, Qinghua Hu |
| 2024 | PRICAI | Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. | Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu |
| 2023 | CVPR | Reliable and Interpretable Personalized Federated Learning. | Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu |
| 2023 | CVPR | Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. | Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu |
| 2023 | DASFAA | MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. | Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu |
| 2023 | ICCV | Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. | Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu |
| 2023 | ICCV | AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. | Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang |
| 2023 | ICCV | Tuning Pre-trained Model via Moment Probing. | Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou |
| 2023 | ICDCS | SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. | Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu |
| 2023 | ICDM | Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. | Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao |
| 2023 | ICML | Calibrating Multimodal Learning. | Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu |
| 2023 | ICML | Provable Dynamic Fusion for Low-Quality Multimodal Data. | Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng |
| 2023 | TrustCom | A Broadband Subliminal Channel in Signatures Without Sharing the Signing Key. | Qinghua Hu, Chunxiang Xu, Wanpeng Li |
| 2022 | APWEB | Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems. | Zhuohang Wang, Yunfeng Zhao, Yong Wang, Li Yan, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu |
| 2022 | ICASSP | RCANet: Row-Column Attention Network for Semantic Segmentation. | Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu |
| 2022 | ICDCS | Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems. | Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu |
| 2022 | IJCNN | Domain Generalization via Maximum Intra-class Average Diameter Minimization. | Benyu Dong, Chung-Ming Own, Qinghua Hu |
| 2022 | PRICAI | Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. | Jing Li, Liu Yang, Qinghua Hu |
| 2021 | AAAI | Uncertainty-Aware Multi-View Representation Learning. | Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu |
| 2021 | AAAI | Multi-View Information-Bottleneck Representation Learning. | Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu |
| 2021 | CVPR | Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. | Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu |
| 2021 | DASFAA | A Multilevel Inference Mechanism for User Attributes over Social Networks. | Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu, Dan Yin |
| 2021 | ICA3PP | MGFL: Multi-granularity Federated Learning in Edge Computing Systems. | Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu |
| 2021 | ICCV | T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. | Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu |
| 2020 | AAAI | Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. | Binyuan Hui, Pengfei Zhu, Qinghua Hu |
| 2020 | APWEB | An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs. | Zian Pan, Yajun Yang, Qinghua Hu |
| 2020 | CVPR | Neural Blind Deconvolution Using Deep Priors. | Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo |
| 2020 | CVPR | Training Noise-Robust Deep Neural Networks via Meta-Learning. | Zhen Wang, Guosheng Hu, Qinghua Hu |
| 2020 | CVPR | ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. | Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu |
| 2020 | CVPR | What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. | Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu |
| 2020 | ECCV | VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. | Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Madeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao |
| 2020 | ECCV | VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. | Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu |
| 2020 | ECCV | VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. | Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, Hrishikesh P. S, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan |
| 2020 | ECCV | VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. | Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi |
| 2020 | ECCV | SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. | Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu |
| 2020 | ICIP | Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. | Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu |
| 2019 | CIKM | Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. | Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du |
| 2019 | CVPR | Progressive Image Deraining Networks: A Better and Simpler Baseline. | Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng |
| 2019 | CVPR | Deep Global Generalized Gaussian Networks. | Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo |
| 2019 | ICANN | Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions. | Qinqin Nie, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hao Cheng |
| 2019 | ICANN | Adaptive Graph Fusion for Unsupervised Feature Selection. | Sijia Niu, Pengfei Zhu, Qinghua Hu, Hong Shi |
| 2019 | ICANN | Multi-task Sparse Regression Metric Learning for Heterogeneous Classification. | Haotian Wu, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hong Shi |
| 2019 | ICANN | Multi-task Learning Method for Hierarchical Time Series Forecasting. | Maoxin Yang, Qinghua Hu, Yun Wang |
| 2019 | ICASSP | Labelled Non-zero Particle Flow for SMC-PHD Filtering. | Yang Liu, Qinghua Hu, Yuexian Zou, Wenwu Wang |
| 2019 | ICCV | Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. | Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu |
| 2019 | ICONIP | Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors. | Meixian Song, Bo Wang, Xindian Ma, Qinghua Hu, Xin Wang, Yuexian Hou, Dawei Song |
| 2019 | IJCAI | Flexible Multi-View Representation Learning for Subspace Clustering. | Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang |
| 2019 | IJCNN | Spatio-temporal Active Learning for Visual Tracking. | Chenfeng Liu, Pengfei Zhu, Qinghua Hu |
| 2019 | IJCNN | Coupled Dictionary Learning for Multi-label Embedding. | Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi |
| 2019 | IJCNN | Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation. | Yao Tan, Qinghua Hu, Zhibin Du |
| 2019 | ICTAI | Heterogeneous Transfer Clustering for Partial Co-occurrence Data. | Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du |
| 2019 | PAKDD | Semi-interactive Attention Network for Answer Understanding in Reverse-QA. | Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu |
| 2019 | PAKDD | Self-paced Robust Deep Face Recognition with Label Noise. | Pengfei Zhu, Wenya Ma, Qinghua Hu |
| 2019 | PRICAI | Transfer Learning for Driving Pattern Recognition. | Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du |
| 2019 | SNPD | An Improved Region-based Fully Convolutional Network for Automatic Pulmonary Nodules Detection. | Ying Chen, Weiwei Du, Xiaojie Duan, Jianming Wang, Sota Chatani, Qinghua Hu |
| 2018 | AAAI | Latent Semantic Aware Multi-View Multi-Label Classification. | Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang |
| 2018 | APWEB | Finding the K Nearest Objects over Time Dependent Road Networks. | Muxi Leng, Yajun Yang, Junhu Wang, Qinghua Hu, Xin Wang |
| 2018 | ECCV | VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. | Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganire, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He |
| 2018 | ECCV | VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. | Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganire, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song |
| 2018 | ECCV | VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. | Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, Jos M. Martnez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma |
| 2018 | ICANN | Generalized Multi-view Unsupervised Feature Selection. | Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu |
| 2018 | ICONIP | Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning. | Jingzhuo Yang, Yu Wang, Qinghua Hu |
| 2018 | IJCAI | FISH-MML: Fisher-HSIC Multi-View Metric Learning. | Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu |
| 2018 | IJCAI | Towards Generalized and Efficient Metric Learning on Riemannian Manifold. | Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang |
| 2018 | IJCAI | Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. | Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang |
| 2018 | IJCNN | Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. | Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu |
| 2018 | PRICAI | Latent Subspace Representation for Multiclass Classification. | Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu |
| 2017 | CVPR | Latent Multi-view Subspace Clustering. | Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao |
| 2017 | ICANN | Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. | Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu |
| 2017 | ICDM | Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. | Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang |
| 2017 | ICIP | Unsupervised feature selection by manifold regularized self-representation. | Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang |
| 2017 | ICIP | Mixed sparsity regularized multi-view unsupervised feature selection. | Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang |
| 2017 | ICONIP | Multi-view Label Space Dimension Reduction. | Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu |
| 2017 | ICONIP | Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM. | Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng |
| 2017 | IJCAI | Hierarchical Feature Selection with Recursive Regularization. | Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu |
| 2016 | AAAI | Coupled Dictionary Learning for Unsupervised Feature Selection. | Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo |
| 2016 | APWEB | A Label Inference Method Based on Maximal Entropy Random Walk over Graphs. | Jing Pan, Yajun Yang, Qinghua Hu, Hong Shi |
| 2016 | IJCAI | A Self-Representation Induced Classifier. | Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu |
| 2016 | PAKDD | Locally Weighted Ensemble Learning for Regression. | Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu |
| 2016 | PRICAI | Multi-view Representative and Informative Induced Active Learning. | Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu |
| 2016 | PRICAI | Set to Set Visual Tracking. | Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang |
| 2015 | ICIP | Salience based hierarchical fuzzy representation for object recognition. | Lifeng Yang, Qinghua Hu, Lei Zhao, Yin Li |
| 2015 | ICMLC | Fine-grained acronym expansion identification using latent-state neural structured prediction model. | Jie Liu, Caihua Liu, Qinghua Hu, Yalou Huang |
| 2015 | ICONIP | Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks. | Lei Zhao, Qinghua Hu, Yucan Zhou |
| 2015 | IJCAI | Random Feature Mapping with Signed Circulant Matrix Projection. | Chang Feng, Qinghua Hu, Shizhong Liao |
| 2015 | IJCNN | Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification. | Yucan Zhou, Xiaowei Cui, Qinghua Hu, Yuan Jia |
| 2014 | Interspeech | Learning conditional random field with hierarchical representations for dialogue act recognition. | Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia |
| 2012 | ECCV | Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization. | Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu |
| 2012 | GRC | Granular association rules with four subtypes. | Fan Min, Qinghua Hu, William Zhu |
| 2012 | ICMLC | Fault diagnosis based on pruned ensemble. | Jian Sun, Leijun Li, Qinghua Hu |
| 2011 | ICCV | A linear subspace learning approach via sparse coding. | Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang |
| 2009 | ACML | Feature Selection via Maximizing Neighborhood Soft Margin. | Qinghua Hu, Xunjian Che, Jinfu Liu |
| 2008 | GRC | Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection. | Shuang An, Qinghua Hu, Daren Yu |
| 2008 | GRC | Fuzzy Preference Relation Rough Sets. | Qinghua Hu, Daren Yu, Congxin Wu |
| 2007 | PAKDD | Consistency Based Attribute Reduction. | Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu |
| 2007 | PAKDD | Weighted Rough Set Learning: Towards a Subjective Approach. | Jinfu Liu, Qinghua Hu, Daren Yu |
| 2006 | ISNN | Improved Feature Selection Algorithm Based on SVM and Correlation. | Zongxia Xie, Qinghua Hu, Daren Yu |
| 2006 | PRICAI | Analysis on Classification Performance of Rough Set Based Reducts. | Qinghua Hu, Xiaodong Li, Daren Yu |
| 2005 | ICNC | Fuzzy Output Support Vector Machines for Classification. | Zongxia Xie, Qinghua Hu, Daren Yu |
| 2005 | SDM | Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. | Qinghua Hu, Daren Yu, Zongxia Xie |