Qinghua Hu - RankMe

598 papers A* 77A 14B 19C 2Misc 8Journal 390Unranked 81

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion. AAAI Yiming Sun, Yuan Ruan, Qinghua Hu, Pengfei Zhu
2026	J	`jnl`	CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion. CoRR Yiming Sun, Yuan Ruan, Qinghua Hu, Pengfei Zhu
2026	J	`jnl`	DIFF-MF: A Difference-Driven Channel-Spatial State Space Model for Multi-Modal Image Fusion. CoRR Yiming Sun, Zifan Ye, Qinghua Hu, Pengfei Zhu
2026	A*	`conf`	Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. AAAI Xingxin Xu, Bing Cao, Dongdong Li, Qinghua Hu, Pengfei Zhu
2026	J	`jnl`	Dual-Teacher Distillation with Subnetwork Rectification for Black-Box Domain Adaptation. CoRR Zhe Zhang, Jing Li, Wanli Xue, Xu Cheng, Jianhua Zhang, Qinghua Hu, Shengyong Chen
2026	J	`jnl`	FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment. CoRR Kewen Zhu, Liping Yi, Zhiming Zhao, Zhuang Qi, Han Yu, Qinghua Hu
2026	J	`jnl`	Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question Reformulation. CoRR Kewen Zhu, Liping Yi, Zhiming Zhao, Xiang Li, Qinghua Hu
2026	J	`jnl`	Heterogeneous Federated Dynamic Graph HyperNetwork for Image Classification. IEEE Trans. Image Process. Liu Yang, Kegen Chen, Qilong Wang, Zhengyi Xu, Shiqiao Gu, Qinghua Hu
2026	A*	`conf`	LLM-Driven Semantic ID for Information Diffusion Prediction. WWW Haoshuang Liu, Zihan Feng, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu
2026	A*	`conf`	Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective. AAAI Tianqi Jiang, Liu Yang, Xi-Le Zhao, Zixuan Qin, Qinghua Hu
2026	J	`jnl`	Lightweight channel-wise dynamic fusion model: Non-stationary time series forecasting via entropy analysis. Inf. Fusion Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2026	J	`jnl`	Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Zongxia Xie, Wenlong Yu, Qinghua Hu
2026	A*	`conf`	Many Hands Make Light Work: Group-based Information Diffusion Prediction over Long-Context Cascades. WWW Zihan Feng, Yajun Yang, Xin Huang, Xin Wang, Hong Gao, Qinghua Hu
2026	J	`jnl`	Orientation-Aware Task-Decoupled Learning for Oriented Object Detection. IEEE Trans. Multim. Ting Yang, Qilong Wang, Qinghua Hu
2026	J	`jnl`	RGBX-R1: Visual Modality Chain-of-Thought Guided Reinforcement Learning for Multimodal Grounding. CoRR Jiahe Wu, Bing Cao, Qilong Wang, Qinghua Hu, Dongdong Li, Pengfei Zhu
2026	J	`jnl`	Reversible Efficient Diffusion for Image Fusion. CoRR Xingxin Xu, Bing Cao, Dongdong Li, Qinghua Hu, Pengfei Zhu
2026	J	`jnl`	Social Hippocampus Memory Learning. CoRR Liping Yi, Zhiming Zhao, Qinghua Hu
2026	J	`jnl`	Visible-Infrared Camouflaged Object Detection. IEEE Trans. Circuits Syst. Video Technol. Cheng Liu, Zheng Wang, Xinyu Yan, Meijun Sun, Qinghua Hu
2026	J	`jnl`	pFedMoE: Data-Level Personalization With Mixture of Experts in Model-Heterogeneous Personalized Federated Learning. IEEE Trans. Knowl. Data Eng. Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Qinghua Hu
2025	J	`jnl`	A CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	J	`jnl`	A Int. J. Comput. Vis. Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	J	`jnl`	A Dissimilarity Measure Powered Feature Weighted Fuzzy C-Means Algorithm for Gene Expression Data. IEEE Trans. Fuzzy Syst. Ning Ma, Qinghua Hu, Kaijun Wu, Yubin Yuan
2025	J	`jnl`	A comprehensive survey of physical adversarial vulnerabilities in autonomous driving systems. Frontiers Inf. Technol. Electron. Eng. Shuai Zhao, Boyuan Zhang, Yucheng Shi, Yang Zhai, Yahong Han, Qinghua Hu
2025	J	`jnl`	Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. CoRR Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu
2025	J	`jnl`	AdvNeRF: Generating 3D Adversarial Meshes With NeRF to Fool Driving Vehicles. IEEE Trans. Inf. Forensics Secur. Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu
2025	A*	`conf`	Asymmetric Factorized Bilinear Operation for Vision Transformer. ICLR Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu
2025	A*	`conf`	Asymmetric Reinforcing Against Multi-Modal Representation Bias. AAAI Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu
2025	J	`jnl`	Asymmetric Reinforcing against Multi-modal Representation Bias. CoRR Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu
2025	J	`jnl`	BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. CoRR Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. IEEE Trans. Pattern Anal. Mach. Intell. Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	BasicAVSR: Arbitrary-Scale Video Super-Resolution via Image Priors and Enhanced Motion Compensation. CoRR Wei Shang, Wanying Zhang, Shuhang Gu, Pengfei Zhu, Qinghua Hu, Dongwei Ren
2025	J	`jnl`	Bi-directional Self-Registration for Misaligned Infrared-Visible Image Fusion. CoRR Timing Li, Bing Cao, Pengfei Zhu, Bin Xiao, Qinghua Hu
2025	J	`jnl`	Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
2025	J	`jnl`	CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wang
2025	J	`jnl`	CKD: Contrastive Knowledge Distillation From a Sample-Wise Perspective. IEEE Trans. Image Process. Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu
2025	A*	`conf`	CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. CVPR Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu
2025	J	`jnl`	CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification. CoRR Wenlong Yu, Qilong Wang, Chuang Liu, Dong Li, Qinghua Hu
2025	J	`jnl`	Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models. CoRR Xiaojie Yin, Qilong Wang, Qinghua Hu
2025	J	`jnl`	DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. CoRR Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu
2025	J	`jnl`	Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. CoRR Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	Dig2DIG: Dig into Diffusion Information Gains for Image Fusion. CoRR Bing Cao, Baoshuo Cai, Changqing Zhang, Qinghua Hu
2025	J	`jnl`	Domain-Division Based Progressive Learning for Source-Free Domain Adaptation. IEEE Trans. Multim. Pan Liu, Jing Li, Meng Zhao, Wanli Xue, Qinghua Hu, Shengyong Chen
2025	J	`jnl`	Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion. CoRR Xingxin Xu, Bing Cao, Yinan Xia, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	Dual-Cohesion Metric Learning for Few-Shot Hand-Based Multimodal Recognition. IEEE Trans. Inf. Forensics Secur. Shuyi Li, Bob Zhang, Qinghua Hu
2025	—	`conf`	Dynamic Personality in LLM Agents: A Framework for Evolutionary Modeling and Behavioral Analysis in the Prisoner's Dilemma. ACL (Findings) Weiqi Zeng, Bo Wang, Dongming Zhao, Zongfeng Qu, Ruifang He, Yuexian Hou, Qinghua Hu
2025	A*	`conf`	Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. ICLR Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	—	`conf`	Efficient Sphere-Effect Based Information Diffusion Prediction on Large-scale Social Networks. KDD (2) Zihan Feng, Yajun Yang, Xin Huang, Hong Gao, Liping Jing, Qinghua Hu
2025	J	`jnl`	FASTEN: Fuzzy Neural Support Vector Machine for Classification. IEEE Trans. Fuzzy Syst. Zhian Yuan, Yuhua Qian, Xinyan Liang, Yi Kou, Chenping Hou, Qinghua Hu
2025	J	`jnl`	Federated learning meets Bayesian neural network: Robust and uncertainty-aware distributed variational inference. Neural Networks Pengfei Li, Qinghua Hu, Xiaofei Wang
2025	J	`jnl`	Fine-Grained Domain Generalization With Feature Structuralization. IEEE Trans. Multim. Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
2025	J	`jnl`	Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation. Comput. Medical Imaging Graph. Xiaozhong Xue, Weiwei Du, Qinghua Hu, Masahiro Miyake, Keina Sado
2025	J	`jnl`	Generalized Few-Shot Out-of-Distribution Detection. CoRR Pinxuan Li, Bing Cao, Changqing Zhang, Qinghua Hu
2025	J	`jnl`	Geometry-semantic aware for monocular 3D Semantic Scene Completion. Pattern Recognit. Zonghao Lu, Bing Cao, Shuyin Xia, Qinghua Hu
2025	J	`jnl`	Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach. CoRR Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang
2025	J	`jnl`	Heterogeneous Dynamic-Aware GNN for RUL Prediction of Aeroengine. IEEE Trans. Instrum. Meas. Yang Jin, Zhengguo Meng, Qinghua Hu, Dongyue Chen
2025	A*	`conf`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. AAAI Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2025	J	`jnl`	High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-Resolution. CoRR Wei Shang, Dongwei Ren, Wanying Zhang, Pengfei Zhu, Qinghua Hu, Wangmeng Zuo
2025	A*	`conf`	Hyperbolic-Euclidean Deep Mutual Learning. WWW Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu
2025	Misc	`conf`	Influence-Based Channel Reweighting for Multivariate Time Series Forecasting. ICASSP Yipu Liu, Zheng Wang, Qinghua Hu
2025	J	`jnl`	Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis. CoRR Tianyu Jia, Zongxia Xie, Yanru Sun, Dilfira Kudrat, Qinghua Hu
2025	A*	`conf`	Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring. ACM Multimedia Wei Shang, Dongwei Ren, Wanying Zhang, Pengfei Zhu, Qinghua Hu, Wangmeng Zuo
2025	J	`jnl`	Motion-Aware Adaptive Pixel Pruning for Efficient Local Motion Deblurring. CoRR Wei Shang, Dongwei Ren, Wanying Zhang, Pengfei Zhu, Qinghua Hu, Wangmeng Zuo
2025	J	`jnl`	Multi-Granularity Weighted Federated Learning for Heterogeneous Edge Computing. IEEE Trans. Serv. Comput. Yunfeng Zhao, Chao Qiu, Shangxuan Cai, Zhicheng Liu, Yu Wang, Xiaofei Wang, Qinghua Hu
2025	J	`jnl`	Multimodal Negative Learning. CoRR Baoquan Gong, Xiyuan Gao, Pengfei Zhu, Qinghua Hu, Bing Cao
2025	J	`jnl`	Multimodal VAD: Visual Anomaly Detection in Intelligent Monitoring System via Audio-Vision-Language. IEEE Trans. Instrum. Meas. Dicong Wang, Qilong Wang, Qinghua Hu, Kaijun Wu
2025	J	`jnl`	OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Zekang Li, Ruonan Liu, Dongyue Chen, Qinghua Hu
2025	A*	`conf`	Online Clustering of Dueling Bandits. ICML Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai
2025	J	`jnl`	Online Clustering of Dueling Bandits. CoRR Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai
2025	J	`jnl`	Optimizing apnea-hypopnea event detection in pediatric OSAHS diagnosis: An enhanced genetic algorithm approach. Biomed. Signal Process. Control. Linwen Jiang, Min Li, Jing Jiang, Qinghua Hu
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	J	`jnl`	PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Yanru Sun, Zongxia Xie, Haoyu Xing, Hualong Yu, Qinghua Hu
2025	A*	`conf`	Patch-wise Structural Loss for Time Series Forecasting. ICML Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	J	`jnl`	Patch-wise Structural Loss for Time Series Forecasting. CoRR Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu
2025	A*	`conf`	Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction. AAAI Junliang Li, Yajun Yang, Yujia Zhang, Qinghua Hu, Alan Zhao, Hong Gao
2025	J	`jnl`	Quantum Visual Word Sense Disambiguation: Unraveling Ambiguities Through Quantum Inference Model. CoRR Wenbo Qiao, Peng Zhang, Qinghua Hu
2025	J	`jnl`	RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition. IEEE Trans. Neural Networks Learn. Syst. Xiaojie Yin, Bing Cao, Qinghua Hu, Qilong Wang
2025	J	`jnl`	RTF: Recursive TransFusion for Multi-Modal Image Synthesis. IEEE Trans. Image Process. Bing Cao, Guoliang Qi, Jiaming Zhao, Pengfei Zhu, Qinghua Hu, Xinbo Gao
2025	A*	`conf`	Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds. CVPR Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu
2025	J	`jnl`	Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds. CoRR Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu
2025	J	`jnl`	RoomEditor++: A Parameter-Sharing Diffusion Architecture for High-Fidelity Furniture Synthesis. CoRR Qilong Wang, Xiaofan Ming, Zhenyi Lin, Jinwen Li, Dongwei Ren, Wangmeng Zuo, Qinghua Hu
2025	J	`jnl`	SPARK: Simple and Parameter-Free Knowledge Embedding With Fuzzy Cognitive Maps for Class Incremental Learning. IEEE Trans. Fuzzy Syst. Yu Wang, Jiabo Xie, Junyan Zheng, Bingxu Lu, Yanxian Bi, Qinghua Hu
2025	Misc	`conf`	Self-Convolutional Attention-Based Uncertainty-Aware Network for Single-Image Super-Resolution. ICASSP Jinbin Wang, Aiping Yang, Zihao Wei, Qinghua Hu
2025	J	`jnl`	Semantic Energy: Detecting LLM Hallucination Beyond Entropy. CoRR Huan Ma, Jiadong Pan, Jing Liu, Yan Chen, Joey Tianyi Zhou, Guangyu Wang, Qinghua Hu, Hua Wu, Changqing Zhang, Haifeng Wang
2025	A*	`conf`	Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration. ICML Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu
2025	J	`jnl`	Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems. IEEE Commun. Surv. Tutorials Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Qinghua Hu, Victor C. M. Leung
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2025	A*	`conf`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CVPR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2025	A*	`conf`	Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion. ICML Yiming Sun, Xin Li, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Huiying Xu, Xinzhong Zhu
2025	J	`jnl`	The influence of virtual technologies on motivation and engagement: a comparative analysis of male and female students. Interact. Learn. Environ. Yueyue Xiao, Qinghua Hu
2025	J	`jnl`	Uncertainty-Aware Superpoint Graph Transformer for Weakly Supervised 3-D Semantic Segmentation. IEEE Trans. Fuzzy Syst. Yan Fan, Yu Wang, Pengfei Zhu, Le Hui, Jin Xie, Qinghua Hu
2025	A	`conf`	Uncertainty-Driven Weakly Supervised Dehazing Network: Integrating Dynamic Attention and Multi-Scale Feature Fusion. ICME Jinbin Wang, Aiping Yang, Yumeng Liu, Qinghua Hu
2025	J	`jnl`	Unknown Support Prototype Set for Open Set Recognition. Int. J. Comput. Vis. Guosong Jiang, Pengfei Zhu, Bing Cao, Dongyue Chen, Qinghua Hu
2025	J	`jnl`	Unleashing Degradation-Carrying Features in Symmetric U-Net: Simpler and Stronger Baselines for All-in-One Image Restoration. CoRR Wenlong Jiao, Heyang Lee, Ping Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren
2025	J	`jnl`	VTD-CLIP: Video-to-Text Discretization via Prompting CLIP. CoRR Wencheng Zhu, Yuexin Wang, Hongxuan Li, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	A Socialized Learning-Based Scheduling Framework in Intricate Edge Clouds. IEEE Trans. Serv. Comput. Yunfeng Zhao, Ziwei Wang, Chao Qiu, Qiang He, Dusit Niyato, Xin Wang, Xiaofei Wang, Qinghua Hu
2024	J	`jnl`	A principled framework for explainable multimodal disentanglement. Inf. Sci. Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
2024	J	`jnl`	AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Qilong Wang, Qiyao Hu, Zilin Gao, Peihua Li, Qinghua Hu
2024	A*	`conf`	AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
2024	A*	`conf`	Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. AAAI Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
2024	J	`jnl`	Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
2024	J	`jnl`	Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Trans. Multim. Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
2024	J	`jnl`	Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Zongxia Xie, Ruonan Liu, Wenlong Yu, Qinghua Hu, Xianling Li, Steven X. Ding
2024	A*	`conf`	Bi-directional Adapter for Multimodal Tracking. AAAI Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective. CoRR Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu
2024	B	`conf`	CP IWQoS Fei Gao, Yunfeng Zhao, Chao Qiu, Xiaofei Wang, Haipeng Yao, Qinghua Hu
2024	J	`jnl`	Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. Inf. Fusion Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding
2024	J	`jnl`	Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou
2024	A*	`conf`	Conditional Controllable Image Fusion. NeurIPS Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
2024	J	`jnl`	Conditional Controllable Image Fusion. CoRR Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
2024	J	`jnl`	DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang
2024	J	`jnl`	DiagPara: Volumetric parameterization with energy-minimizing pair of diagonal surfaces from given boundaries. J. Comput. Appl. Math. Xiaowei Li, Qinghua Hu, Renshu Gu, Jinlan Xu, Haiyan Wu, Gang Xu
2024	—	`conf`	Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. APWeb/WAIM (2) Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu
2024	J	`jnl`	Dual-resolution transformer combined with multi-layer separable convolution fusion network for real-time semantic segmentation. Comput. Graph. Kaidi Hu, Zongxia Xie, Qinghua Hu
2024	A*	`conf`	Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. IJCAI Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. CoRR Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
2024	A*	`conf`	Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. AAAI Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
2024	—	`conf`	EPAAMap: Enhanced Parallel Attention Aggregation HD Semantic Map in Complex Traffic Scenarios. DSIT Jingtao Zhang, Xiangxiang Wang, Yongbin Yu, Qinghua Hu, Lirui Xue, Qi He, Manping Fan, Liyong Ren
2024	J	`jnl`	Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. CoRR Bing Cao, Quanhao Lu, Jiekang Feng, Pengfei Zhu, Qinghua Hu, Qilong Wang
2024	J	`jnl`	Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer. IEEE Trans. Circuits Syst. Video Technol. Jing Li, Liu Yang, Qinghua Hu
2024	A*	`conf`	Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. AAAI Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
2024	J	`jnl`	Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. CoRR Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
2024	J	`jnl`	Explainability Enhanced Object Detection Transformer With Feature Disentanglement. IEEE Trans. Image Process. Wenlong Yu, Ruonan Liu, Dongyue Chen, Qinghua Hu
2024	A*	`conf`	Exploring Diverse Representations for Open Set Recognition. AAAI Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	Exploring Diverse Representations for Open Set Recognition. CoRR Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
2024	B	`conf`	Exploring What to Share for Multimodal Image Synthesis. IJCNN Guoliang Qi, Bing Cao, Qinghua Hu
2024	J	`jnl`	Exploring and exploiting hierarchical structures for large-scale classification. Int. J. Mach. Learn. Cybern. Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu
2024	J	`jnl`	Fine-Grained Domain Generalization with Feature Structuralization. CoRR Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
2024	J	`jnl`	Granular-Ball Fuzzy Set and Its Implement in SVM. IEEE Trans. Knowl. Data Eng. Shuyin Xia, Xiaoyu Lian, Guoyin Wang, Xinbo Gao, Qinghua Hu, Yabin Shao
2024	J	`jnl`	Hierarchical Classification Auxiliary Network for Time Series Forecasting. CoRR Yanru Sun, Zongxia Xie, Dongyue Chen, Emadeldeen Eldele, Qinghua Hu
2024	A*	`conf`	ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	Improved generative adversarial network with deep metric learning for missing data imputation. Neurocomputing Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi
2024	J	`jnl`	Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering. Int. J. Comput. Vis. Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	J	`jnl`	Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu
2024	J	`jnl`	Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
2024	J	`jnl`	Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift. CoRR Yanru Sun, Zongxia Xie, Emadeldeen Eldele, Dongyue Chen, Qinghua Hu, Min Wu
2024	J	`jnl`	LiDAR-Camera Continuous Fusion in Voxelized Grid for Semantic Scene Completion. IEEE Trans. Circuits Syst. Video Technol. Zonghao Lu, Bing Cao, Qinghua Hu
2024	J	`jnl`	Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image Vis. Comput. Kaidi Hu, Zongxia Xie, Qinghua Hu
2024	J	`jnl`	Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jingqing Li, Bing Cao, Qinghua Hu
2024	J	`jnl`	Multi-View Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation. IEEE Trans. Neural Networks Learn. Syst. Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
2024	—	`conf`	Multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction. DASFAA (6) Zihan Feng, Rui Wu, Yajun Yang, Hong Gao, Xin Wang, Xueli Liu, Qinghua Hu
2024	J	`jnl`	Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang
2024	J	`jnl`	Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu
2024	A*	`conf`	Out-Of-Distribution Detection with Diversification (Provably). NeurIPS Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	Out-Of-Distribution Detection with Diversification (Provably). CoRR Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024	A*	`conf`	Persistence Homology Distillation for Semi-supervised Continual Learning. NeurIPS Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu
2024	A*	`conf`	Predictive Dynamic Fusion. ICML Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024	J	`jnl`	Predictive Dynamic Fusion. CoRR Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024	J	`jnl`	Regression-Based Hyperparameter Learning for Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Shili Peng, Wenwu Wang, Yinli Chen, Xueling Zhong, Qinghua Hu
2024	—	`conf`	Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2024	J	`jnl`	S CoRR Xiaojie Yin, Qilong Wang, Bing Cao, Qinghua Hu
2024	J	`jnl`	SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label. Knowl. Based Syst. Lili Pan, Weizhi Shao, Siyu Xiong, Qianhui Lei, Shiqi Huang, Eric Beckman, Qinghua Hu
2024	J	`jnl`	Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao
2024	J	`jnl`	Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems. CoRR Xiaofei Wang, Yunfeng Zhao, Chao Qiu, Qinghua Hu, Victor C. M. Leung
2024	A*	`conf`	Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu
2024	J	`jnl`	Soft independence guided filter pruning. Pattern Recognit. Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
2024	J	`jnl`	Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen
2024	J	`jnl`	Sums of Generalized Weighted Composition Operators from Weighted Bergman Spaces Induced by Doubling Weights into Bloch-Type Spaces. Axioms Xiangling Zhu, Qinghua Hu
2024	J	`jnl`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CoRR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2024	A*	`conf`	Task-Customized Mixture of Adapters for General Image Fusion. CVPR Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu
2024	J	`jnl`	Task-Customized Mixture of Adapters for General Image Fusion. CoRR Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu
2024	A*	`conf`	Test-Time Dynamic Image Fusion. NeurIPS Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024	J	`jnl`	Test-Time Dynamic Image Fusion. CoRR Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024	A*	`conf`	The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. NeurIPS Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. CoRR Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang
2024	J	`jnl`	Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view. Inf. Fusion Yun Liao, Yong Liu, Shizhong Liao, Qinghua Hu, Jianwu Dang
2024	J	`jnl`	ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. Int. J. Mach. Learn. Cybern. Kaidi Hu, Zongxia Xie, Qinghua Hu
2024	J	`jnl`	Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen
2024	J	`jnl`	Uncertainty-driven active developmental learning. Pattern Recognit. Qinghua Hu, Luona Ji, Yu Wang, Shuai Zhao, Zhibin Lin
2024	J	`jnl`	Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval. Int. J. Mach. Learn. Cybern. Siyu Xiong, Lili Pan, Xueqiang Ma, Qinghua Hu, Eric Beckman
2024	J	`jnl`	VADS: Visuo-Adaptive DualStrike attack on visual question answer. Comput. Vis. Image Underst. Boyuan Zhang, Jiaxu Li, Yucheng Shi, Yahong Han, Qinghua Hu
2024	—	`conf`	Visible and Clear: Finding Tiny Objects in Difference Map. ECCV (17) Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	Visible and Clear: Finding Tiny Objects in Difference Map. CoRR Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu
2024	A*	`conf`	What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. NeurIPS Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
2023	B	`conf`	A Broadband Subliminal Channel in Signatures Without Sharing the Signing Key. TrustCom Qinghua Hu, Chunxiang Xu, Wanpeng Li
2023	A*	`conf`	AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. ICCV Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang
2023	J	`jnl`	Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. CoRR Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang
2023	J	`jnl`	AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. Int. J. Comput. Vis. Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
2023	J	`jnl`	Bi-directional Adapter for Multi-modal Tracking. CoRR Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu
2023	J	`jnl`	Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. Hongzhi Huang, Yu Wang, Qinghua Hu
2023	A*	`conf`	Calibrating Multimodal Learning. ICML Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	J	`jnl`	Calibrating Multimodal Learning. CoRR Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	J	`jnl`	Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
2023	A	`conf`	Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2023	J	`jnl`	Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
2023	J	`jnl`	Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu
2023	J	`jnl`	Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu
2023	J	`jnl`	Cross-Drone Transformer Network for Robust Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. Guanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu
2023	J	`jnl`	DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs. Comput. Aided Des. Xiaowei Li, Qinghua Hu, Gang Xu, Long Qi, Haiyan Wu, Yufei Pang
2023	J	`jnl`	Dual-branch network with memory for video anomaly detection. Multim. Syst. Dicong Wang, Qinghua Hu, Kaijun Wu
2023	J	`jnl`	Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. CoRR Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
2023	A*	`conf`	Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023	J	`jnl`	Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023	A*	`conf`	Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	J	`jnl`	Fairness-guided Few-shot Prompting for Large Language Models. CoRR Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	J	`jnl`	Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu
2023	A*	`conf`	Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. ICDM Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao
2023	J	`jnl`	ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu
2023	J	`jnl`	Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding
2023	J	`jnl`	Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. IEEE Trans. Multim. Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
2023	J	`jnl`	MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks. ACM Trans. Inf. Syst. Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu
2023	—	`conf`	MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks. DASFAA (3) Tianbao Wang, Yajun Yang, Hong Gao, Qinghua Hu
2023	J	`jnl`	Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise. IEEE J. Biomed. Health Informatics Zhen Wang, Shuo Jin, Linhao Li, Yongfeng Dong, Qinghua Hu
2023	J	`jnl`	MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. CoRR Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
2023	J	`jnl`	Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. Huitong Chen, Yu Wang, Qinghua Hu
2023	J	`jnl`	Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen
2023	J	`jnl`	Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Yikang Wei, Liu Yang, Yahong Han, Qinghua Hu
2023	A*	`conf`	Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu
2023	J	`jnl`	OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu
2023	J	`jnl`	Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation. Appl. Math. Lett. Qinghua Hu, Mingxuan Zhu
2023	A*	`conf`	Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
2023	J	`jnl`	Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
2023	A*	`conf`	Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion. NeurIPS Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao
2023	J	`jnl`	Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling. IEEE Trans. Pattern Anal. Mach. Intell. Yucheng Shi, Yahong Han, Qinghua Hu, Yi Yang, Qi Tian
2023	A*	`conf`	Reliable and Interpretable Personalized Federated Learning. CVPR Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu
2023	J	`jnl`	Reweighted Mixup for Subpopulation Shift. CoRR Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023	J	`jnl`	Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. IEEE Trans. Multim. Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu
2023	J	`jnl`	Scatter matrix decomposition for jointly sparse learning. Pattern Recognit. Dongmei Mo, Zhihui Lai, Jie Zhou, Qinghua Hu
2023	J	`jnl`	Semantic Equivariant Mixup. CoRR Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
2023	J	`jnl`	Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
2023	A	`conf`	SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems. ICDCS Ziwei Wang, Yunfeng Zhao, Chao Qiu, Qiang He, Xin Wang, Xiaofei Wang, Qinghua Hu
2023	J	`jnl`	Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2023	A*	`conf`	Tuning Pre-trained Model via Moment Probing. ICCV Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
2023	J	`jnl`	Tuning Pre-trained Model via Moment Probing. CoRR Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
2023	J	`jnl`	WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2023	—	`conf`	Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu
2022	J	`jnl`	Class-Specific Semantic Reconstruction for Open Set Recognition. CoRR Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
2022	J	`jnl`	CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. IEEE Trans. Image Process. Hao Wang, Qilong Wang, Hongzhi Zhang, Qinghua Hu, Wangmeng Zuo
2022	J	`jnl`	Credible Internet of Intelligence Toward Future Multidimensional Connection. IEEE Netw. Chao Qiu, Haotian Qi, Zhicheng Liu, Xiaofei Wang, Jing Jiang, Qinghua Hu
2022	J	`jnl`	Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection. IEEE Trans. Circuits Syst. Video Technol. Qinghua Hu, Yucong Gao, Bing Cao
2022	J	`jnl`	Data reduction based on NN-kNN measure for NN classification and regression. Int. J. Mach. Learn. Cybern. Shuang An, Qinghua Hu, Changzhong Wang, Ge Guo, Piyu Li
2022	J	`jnl`	Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2022	J	`jnl`	Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. Pattern Recognit. Yu Zhou, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang
2022	J	`jnl`	Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu
2022	A*	`conf`	DetFusion: A Detection-driven Infrared and Visible Image Fusion Network. ACM Multimedia Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
2022	J	`jnl`	Detection and Tracking Meet Drones Challenge. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling
2022	J	`jnl`	Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu
2022	B	`conf`	Domain Generalization via Maximum Intra-class Average Diameter Minimization. IJCNN Benyu Dong, Chung-Ming Own, Qinghua Hu
2022	J	`jnl`	Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning. IEEE Trans. Circuits Syst. Video Technol. Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu
2022	A*	`conf`	DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
2022	J	`jnl`	Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. IEEE Trans. Cybern. Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo
2022	J	`jnl`	Face photo-sketch synthesis via full-scale identity supervision. Pattern Recognit. Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao
2022	J	`jnl`	Granular computing based machine learning in the era of big data. Inf. Sci. Qinghua Hu, Jusheng Mi, Degang Chen
2022	J	`jnl`	HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping. CoRR Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu
2022	J	`jnl`	Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Trans. Cybern. Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su
2022	J	`jnl`	Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. CoRR Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
2022	J	`jnl`	Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation. CoRR Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
2022	J	`jnl`	Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. Int. J. Comput. Vis. Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
2022	J	`jnl`	Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis. IEEE Trans. Image Process. Zhiwei Bi, Bing Cao, Wangmeng Zuo, Qinghua Hu
2022	—	`conf`	Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems. APWeb/WAIM (1) Zhuohang Wang, Yunfeng Zhao, Yong Wang, Li Yan, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu
2022	J	`jnl`	MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble. ACM Trans. Knowl. Discov. Data Yaojin Lin, Qinghua Hu, Jinghua Liu, Xingquan Zhu, Xindong Wu
2022	J	`jnl`	Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai
2022	J	`jnl`	Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. CoRR Huitong Chen, Yu Wang, Qinghua Hu
2022	J	`jnl`	Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition. Int. J. Softw. Informatics Pengfei Zhu, Wanying Zhang, Yu Wang, Qinghua Hu
2022	A	`conf`	Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems. ICDCS Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu
2022	Misc	`conf`	RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu
2022	J	`jnl`	Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container. IEEE Trans. Instrum. Meas. Pengfei Zhu, Yiming Sun, Bing Cao, Xiaoyu Liu, Xin Liu, Qinghua Hu
2022	—	`conf`	Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation. PRICAI (3) Jing Li, Liu Yang, Qinghua Hu
2022	J	`jnl`	Semisupervised Laplace-Regularized Multimodality Metric Learning. IEEE Trans. Cybern. Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu
2022	J	`jnl`	Single Object Tracking Research: A Survey. CoRR Ruize Han, Wei Feng, Qing Guo, Qinghua Hu
2022	J	`jnl`	Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu
2022	—	`conf`	Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid. SmartIoT Pengfei Li, Yunfeng Zhao, Liandong Chen, Kai Cheng, Chuyue Xie, Xiaofei Wang, Qinghua Hu
2022	J	`jnl`	Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian
2022	J	`jnl`	Uncertainty-Aware Multi-View Representation Learning. CoRR Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2022	J	`jnl`	Video Saliency Prediction via Joint Discrimination and Local Consistency. IEEE Trans. Cybern. Zheng Wang, Ziqi Zhou, Huchuan Lu, Qinghua Hu, Jianmin Jiang
2021	J	`jnl`	A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification. IEEE Trans. Fuzzy Syst. Zhi-gang Su, Qinghua Hu, Thierry Denoeux
2021	—	`conf`	A Multilevel Inference Mechanism for User Attributes over Social Networks. DASFAA (2) Hang Zhang, Yajun Yang, Xin Wang, Hong Gao, Qinghua Hu, Dan Yin
2021	J	`jnl`	A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Trans. Knowl. Data Eng. Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang
2021	J	`jnl`	Adaptive Nonconvex Sparsity Based Background Subtraction for Intelligent Video Surveillance. IEEE Trans. Ind. Informatics Linhao Li, Zhen Wang, Qinghua Hu, Yongfeng Dong
2021	J	`jnl`	Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen
2021	A	`conf`	Cross-View Equivariant Auto-Encoder. ICME Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu
2021	A*	`conf`	Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2021	J	`jnl`	Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2021	J	`jnl`	Graph Regularized Flow Attention Network for Video Animal Counting From Drones. IEEE Trans. Image Process. Pengfei Zhu, Tao Peng, Dawei Du, Hongtao Yu, Libo Zhang, Qinghua Hu
2021	J	`jnl`	Interactive Model with Structural Loss for Language-based Abductive Reasoning. CoRR Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang, Qinghua Hu
2021	J	`jnl`	Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation. CoRR Chaohao Xie, Dongwei Ren, Lei Wang, Qinghua Hu, Liang Lin, Wangmeng Zuo
2021	J	`jnl`	Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. CoRR Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
2021	J	`jnl`	Low-rank adaptive graph embedding for unsupervised feature extraction. Pattern Recognit. Jianglin Lu, Hailing Wang, Jie Zhou, Yudong Chen, Zhihui Lai, Qinghua Hu
2021	—	`conf`	MGFL: Multi-granularity Federated Learning in Edge Computing Systems. ICA3PP (1) Shangxuan Cai, Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiaofei Wang, Qinghua Hu
2021	J	`jnl`	Multi-Drone-Based Single Object Tracking With Agent Sharing Network. IEEE Trans. Circuits Syst. Video Technol. Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu
2021	A*	`conf`	Multi-View Information-Bottleneck Representation Learning. AAAI Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2021	J	`jnl`	On the applicability of two-bit carbon nanotube through-silicon via for power distribution networks in 3-D integrated circuits. IET Circuits Devices Syst. Qinghua Hu, Wen-Sheng Zhao, Kai Fu, Da-Wei Wang, Gaofeng Wang
2021	J	`jnl`	Open set recognition through Monte Carlo dropout-based uncertainty. Int. J. Bio Inspired Comput. Xiaojie Yin, Qinghua Hu, Gerald Schaefer
2021	J	`jnl`	PA-Net: Learning local features using by pose attention for short-term person re-identification. Inf. Sci. Kai Wang, Shichao Dong, Nian Liu, Junhui Yang, Tao Li, Qinghua Hu
2021	J	`jnl`	Probability granular distance-based fuzzy rough set model. Appl. Soft Comput. Shuang An, Qinghua Hu, Changzhong Wang
2021	J	`jnl`	RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu
2021	J	`jnl`	Self-paced hierarchical metric learning (SPHML). Int. J. Mach. Learn. Cybern. Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang, Abdulrahman Al-Badwi
2021	J	`jnl`	Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution. IEEE Wirel. Commun. Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiuhua Li, Xiaofei Wang, Qinghua Hu
2021	A*	`conf`	T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. ICCV Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu
2021	J	`jnl`	T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. CoRR Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu
2021	A*	`conf`	Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2021	J	`jnl`	Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2021	A*	`conf`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021	J	`jnl`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021	A*	`conf`	Uncertainty-Aware Multi-View Representation Learning. AAAI Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2021	J	`jnl`	Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data. Int. J. Artif. Intell. Tools Shuyu Liu, Liu Yang, Qinghua Hu
2021	J	`jnl`	VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR 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 Krüger, 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-Máadeed, 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
2021	—	`conf`	VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao
2021	—	`conf`	VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang
2021	—	`conf`	VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo
2020	J	`jnl`	Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li
2020	J	`jnl`	An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks. CoRR Yajun Yang, Hang Zhang, Hong Gao, Qinghua Hu, Xin Wang
2020	—	`conf`	An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs. APWeb/WAIM (1) Zian Pan, Yajun Yang, Qinghua Hu
2020	J	`jnl`	Boundary-aware High-resolution Network with region enhancement for salient object detection. Neurocomputing Xue Zhang, Zheng Wang, Qinghua Hu, Jinchang Ren, Meijun Sun
2020	A*	`conf`	Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning. AAAI Binyuan Hui, Pengfei Zhu, Qinghua Hu
2020	J	`jnl`	Convolutional Reconstruction-to-Sequence for Video Captioning. IEEE Trans. Circuits Syst. Video Technol. Aming Wu, Yahong Han, Yi Yang, Qinghua Hu, Fei Wu
2020	J	`jnl`	Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Trans. Fuzzy Syst. Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi, Xianling Li
2020	J	`jnl`	Deep Partial Multi-View Learning. CoRR Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2020	J	`jnl`	Drone Based RGBT Vehicle Detection and Counting: A Challenge. CoRR Pengfei Zhu, Yiming Sun, Longyin Wen, Yu Feng, Qinghua Hu
2020	A*	`conf`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation. CoRR Zhaohui Zheng, Ping Wang, Dongwei Ren, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo
2020	J	`jnl`	Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. CoRR Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang
2020	J	`jnl`	Face sketch-to-photo transformation with multi-scale self-attention GAN. Neurocomputing Yingtao Lei, Weiwei Du, Qinghua Hu
2020	J	`jnl`	Feature Selection Based on Neighborhood Self-Information. IEEE Trans. Cybern. Changzhong Wang, Yang Huang, Mingwen Shao, Qinghua Hu, Degang Chen
2020	J	`jnl`	Fuzzy dynamic timetable scheduling for public transit. Fuzzy Sets Syst. Yanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca L. Ralescu
2020	J	`jnl`	Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu
2020	J	`jnl`	Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu
2020	J	`jnl`	Multi-Drone based Single Object Tracking with Agent Sharing Network. CoRR Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu
2020	A*	`conf`	Neural Blind Deconvolution Using Deep Priors. CVPR Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
2020	J	`jnl`	Optimal feasible step-size based working set selection for large scale SVMs training. Neurocomputing Shili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang
2020	J	`jnl`	Optimized high order product quantization for approximate nearest neighbors search. Frontiers Comput. Sci. Linhao Li, Qinghua Hu
2020	B	`conf`	Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu
2020	J	`jnl`	SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020	—	`conf`	SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020	J	`jnl`	Single Image Deraining Using Bilateral Recurrent Network. IEEE Trans. Image Process. Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo
2020	J	`jnl`	Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation. Neurocomputing Dong Li, Linhao Li, Xianling Li, Zhiwu Ke, Qinghua Hu
2020	J	`jnl`	Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu
2020	A*	`conf`	Training Noise-Robust Deep Neural Networks via Meta-Learning. CVPR Zhen Wang, Guosheng Hu, Qinghua Hu
2020	—	`conf`	VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 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 Krüger, 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-Máadeed, 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	—	`conf`	VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 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	—	`conf`	VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results. ECCV Workshops (4) 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	—	`conf`	VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 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	J	`jnl`	Vision Meets Drones: Past, Present and Future. CoRR Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Qinghua Hu, Haibin Ling
2020	A*	`conf`	What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	J	`jnl`	A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks. Complex. Yajun Yang, Hanxiao Li, Junhu Wang, Qinghua Hu, Xin Wang, Muxi Leng
2019	—	`conf`	Adaptive Graph Fusion for Unsupervised Feature Selection. ICANN (2) Sijia Niu, Pengfei Zhu, Qinghua Hu, Hong Shi
2019	C	`conf`	An Improved Region-based Fully Convolutional Network for Automatic Pulmonary Nodules Detection. SNPD Ying Chen, Weiwei Du, Xiaojie Duan, Jianming Wang, Sota Chatani, Qinghua Hu
2019	A	`conf`	Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. CIKM Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du
2019	B	`conf`	Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation. IJCNN Yao Tan, Qinghua Hu, Zhibin Du
2019	A*	`conf`	CPM-Nets: Cross Partial Multi-View Networks. NeurIPS Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2019	B	`conf`	Coupled Dictionary Learning for Multi-label Embedding. IJCNN Sijia Niu, Qian Xu, Pengfei Zhu, Qinghua Hu, Hong Shi
2019	A*	`conf`	Deep Global Generalized Gaussian Networks. CVPR Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo
2019	J	`jnl`	Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2019	J	`jnl`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	J	`jnl`	Finding the Shortest Path with Vertex Constraint over Large Graphs. Complex. Yajun Yang, Zhongfei Li, Xin Wang, Qinghua Hu
2019	A*	`conf`	Flexible Multi-View Representation Learning for Subspace Clustering. IJCAI Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang
2019	J	`jnl`	Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification. IEEE Trans. Fuzzy Syst. Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu
2019	B	`conf`	Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du
2019	J	`jnl`	Hierarchical feature selection with subtree based graph regularization. Knowl. Based Syst. Qianjuan Tuo, Hong Zhao, Qinghua Hu
2019	—	`conf`	Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions. ICANN (2) Qinqin Nie, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hao Cheng
2019	Misc	`conf`	Labelled Non-zero Particle Flow for SMC-PHD Filtering. ICASSP Yang Liu, Qinghua Hu, Yuexian Zou, Wenwu Wang
2019	—	`conf`	Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors. ICONIP (5) Meixian Song, Bo Wang, Xindian Ma, Qinghua Hu, Xin Wang, Yuexian Hou, Dawei Song
2019	J	`jnl`	Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization. IEEE Trans. Image Process. Linhao Li, Qinghua Hu, Xin Li
2019	J	`jnl`	Multi-kernel SVM based depression recognition using social media data. Int. J. Mach. Learn. Cybern. Zhichao Peng, Qinghua Hu, Jianwu Dang
2019	—	`conf`	Multi-task Learning Method for Hierarchical Time Series Forecasting. ICANN (4) Maoxin Yang, Qinghua Hu, Yun Wang
2019	—	`conf`	Multi-task Sparse Regression Metric Learning for Heterogeneous Classification. ICANN (2) Haotian Wu, Bin Zhou, Pengfei Zhu, Qinghua Hu, Hong Shi
2019	J	`jnl`	Multi-view Deep Subspace Clustering Networks. CoRR Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu
2019	J	`jnl`	Neural Blind Deconvolution Using Deep Priors. CoRR Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
2019	J	`jnl`	Possibility measure based fuzzy support function machine for set-based fuzzy classifications. Inf. Sci. Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma, Xuchang Zhang, Zhipeng Yu
2019	A*	`conf`	Progressive Image Deraining Networks: A Better and Simpler Baseline. CVPR Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng
2019	J	`jnl`	Progressive Image Deraining Networks: A Better and Simpler Baseline. CoRR Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng
2019	A*	`conf`	Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu
2019	J	`jnl`	SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. IEEE Trans. Cybern. Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang
2019	—	`conf`	Self-Attention Relation Network for Few-Shot Learning. ICME Workshops Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang
2019	—	`conf`	Self-paced Robust Deep Face Recognition with Label Noise. PAKDD (3) Pengfei Zhu, Wenya Ma, Qinghua Hu
2019	—	`conf`	Semi-interactive Attention Network for Answer Understanding in Reverse-QA. PAKDD (2) Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu
2019	J	`jnl`	Semi-interactive Attention Network for Answer Understanding in Reverse-QA. CoRR Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu
2019	B	`conf`	Spatio-temporal Active Learning for Visual Tracking. IJCNN Chenfeng Liu, Pengfei Zhu, Qinghua Hu
2019	—	`conf`	Transfer Learning for Driving Pattern Recognition. PRICAI (2) Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du
2019	—	`conf`	VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, JunYing Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong
2019	—	`conf`	VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang
2019	—	`conf`	VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang
2019	—	`conf`	VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. ICCV Workshops Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang
2019	J	`jnl`	Weighted Graph Embedding-Based Metric Learning for Kinship Verification. IEEE Trans. Image Process. Jianqing Liang, Qinghua Hu, Chuangyin Dang, Wangmeng Zuo
2018	A*	`conf`	Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
2018	J	`jnl`	Co-regularized unsupervised feature selection. Neurocomputing Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang
2018	J	`jnl`	Deep super-class learning for long-tail distributed image classification. Pattern Recognit. Yucan Zhou, Qinghua Hu, Yu Wang
2018	J	`jnl`	Detecting Adversarial Examples via Key-based Network. CoRR Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang
2018	J	`jnl`	Distribution Sensitive Product Quantization. IEEE Trans. Circuits Syst. Video Technol. Linhao Li, Qinghua Hu, Yahong Han, Xin Li
2018	J	`jnl`	Driver State Analysis Based on Imperfect Multi-view Evidence Support. Neural Process. Lett. Yong Du, Yu Wang, Xin Huang, Qinghua Hu
2018	J	`jnl`	Efficient multi-modal geometric mean metric learning. Pattern Recognit. Jianqing Liang, Qinghua Hu, Pengfei Zhu, Wenwu Wang
2018	A	`conf`	Ensemble of Label Specific Features for Multi-Label Classification. ICME Xiaoya Wei, Ziwei Yu, Changqing Zhang, Qinghua Hu
2018	A*	`conf`	FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
2018	A	`conf`	Feature Reinforcement Network for Image Classification. ICME Bingxu Lu, Qinghua Hu, Yijing Hui, Quan Wen, Min Li
2018	J	`jnl`	Feature Selection Based on Neighborhood Discrimination Index. IEEE Trans. Neural Networks Learn. Syst. Changzhong Wang, Qinghua Hu, Xizhao Wang, Degang Chen, Yuhua Qian, Zhe Dong
2018	J	`jnl`	Feature selection based on maximal neighborhood discernibility. Int. J. Mach. Learn. Cybern. Changzhong Wang, Qiang He, Mingwen Shao, Qinghua Hu
2018	—	`conf`	Finding the K Nearest Objects over Time Dependent Road Networks. APWeb/WAIM (2) Muxi Leng, Yajun Yang, Junhu Wang, Qinghua Hu, Xin Wang
2018	—	`conf`	Generalized Multi-view Unsupervised Feature Selection. ICANN (2) Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2018	J	`jnl`	Kernel-Based Semantic Hashing for Gait Retrieval. IEEE Trans. Circuits Syst. Video Technol. Yucan Zhou, Yongzhen Huang, Qinghua Hu, Liang Wang
2018	J	`jnl`	Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Qinghua Hu, Lingjun Zhang, Yucan Zhou, Witold Pedrycz
2018	A*	`conf`	Latent Semantic Aware Multi-View Multi-Label Classification. AAAI Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang
2018	—	`conf`	Latent Subspace Representation for Multiclass Classification. PRICAI (1) Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu
2018	J	`jnl`	Locally Linear Approximation Approach for Incomplete Data. IEEE Trans. Cybern. Jianhua Dai, Hu Hu, Qinghua Hu, Wei Huang, Nenggan Zheng, Liang Liu
2018	J	`jnl`	Low-Rank Linear Embedding for Image Recognition. IEEE Trans. Multim. Yudong Chen, Zhihui Lai, Wai Keung Wong, Linlin Shen, Qinghua Hu
2018	—	`conf`	Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning. ICONIP (3) Jingzhuo Yang, Yu Wang, Qinghua Hu
2018	B	`conf`	Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. IJCNN Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu
2018	J	`jnl`	Multi-label feature selection with missing labels. Pattern Recognit. Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao
2018	J	`jnl`	Multi-view label embedding. Pattern Recognit. Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng
2018	J	`jnl`	Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach. IEEE Trans. Fuzzy Syst. Jianhua Dai, Qinghua Hu, Hu Hu, Debiao Huang
2018	J	`jnl`	Partially monotonic decision trees. Inf. Sci. Shenglei Pei, Qinghua Hu
2018	J	`jnl`	Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Shichao Zhao, Yanbin Liu, Yahong Han, Richang Hong, Qinghua Hu, Qi Tian
2018	J	`jnl`	SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection. CoRR Meijun Sun, Ziqi Zhou, Qinghua Hu, Zheng Wang, Jianmin Jiang
2018	A	`conf`	Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu
2018	A*	`conf`	Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
2018	J	`jnl`	Uncertain data classification with additive kernel support vector machine. Data Knowl. Eng. Zongxia Xie, Yong Xu, Qinghua Hu
2018	J	`jnl`	Unsupervised Degradation Learning for Single Image Super-Resolution. CoRR Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu
2018	—	`conf`	VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 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 Laganière, 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	—	`conf`	VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 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 Laganière, 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	—	`conf`	VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) 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, José M. Martínez, 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	J	`jnl`	Vision Meets Drones: A Challenge. CoRR Pengfei Zhu, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu
2018	A	`conf`	Visual Analysis for Online Communities Exploration Based on Social Data. ICS Lirui Wei, Qinghua Hu, Mei Han, Yuwei Zhang, Chao Fan, Yunbo Rao, Jiansu Pu
2017	J	`jnl`	A Fitting Model for Feature Selection With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Changzhong Wang, Yali Qi, Mingwen Shao, Qinghua Hu, Degang Chen, Yuhua Qian, Yaojin Lin
2017	J	`jnl`	A unified information measure for general binary relations. Knowl. Based Syst. Changzhong Wang, Qiang He, Mingwen Shao, Yangyang Xu, Qinghua Hu
2017	J	`jnl`	Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach. IEEE Trans. Cybern. Jianhua Dai, Qinghua Hu, Jinghong Zhang, Hu Hu, Nenggan Zheng
2017	—	`ed.`	Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I CCCV (1) Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017	—	`ed.`	Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II CCCV (2) Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017	—	`ed.`	Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III CCCV (3) Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng
2017	J	`jnl`	Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao
2017	J	`jnl`	Granular Computing Based Machine Learning in the Era of Big Data. Inf. Sci. Qinghua Hu, Ju-Sheng Mi, Degang Chen
2017	A*	`conf`	Hierarchical Feature Selection with Recursive Regularization. IJCAI Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu
2017	A	`conf`	Independence regularized multi-label ensemble. ICME Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu
2017	A*	`conf`	Latent Multi-view Subspace Clustering. CVPR Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao
2017	A*	`conf`	Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
2017	B	`conf`	Mixed sparsity regularized multi-view unsupervised feature selection. ICIP Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017	—	`conf`	Multi-view Label Space Dimension Reduction. ICONIP (1) Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
2017	J	`jnl`	Non-convex regularized self-representation for unsupervised feature selection. Image Vis. Comput. Pengfei Zhu, Wencheng Zhu, Weizhi Wang, Wangmeng Zuo, Qinghua Hu
2017	—	`conf`	Relevance and Coherence Based Image Caption. CCCV (1) Tao Zhang, Wei Wang, Liang Wang, Qinghua Hu
2017	J	`jnl`	Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians. Neurocomputing Haibo Wang, Yun Wang, Qinghua Hu
2017	J	`jnl`	Semi-Supervised Image-to-Video Adaptation for Video Action Recognition. IEEE Trans. Cybern. Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu, Jianmin Jiang
2017	—	`conf`	Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. ICANN (2) Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2017	J	`jnl`	Semisupervised Online Multikernel Similarity Learning for Image Retrieval. IEEE Trans. Multim. Jianqing Liang, Qinghua Hu, Wenwu Wang, Yahong Han
2017	—	`conf`	Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM. ICONIP (1) Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng
2017	J	`jnl`	Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information. IEEE Trans. Fuzzy Syst. Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu
2017	J	`jnl`	Subspace clustering guided unsupervised feature selection. Pattern Recognit. Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
2017	J	`jnl`	Support function machine for set-based classification with application to water quality evaluation. Inf. Sci. Jiqiang Chen, Qinghua Hu, Xiaoping Xue, Minghu Ha, Litao Ma
2017	A	`conf`	Top attention in line with time: A light-weight strategy. ICME Youjiang Xu, Shichao Zhao, Yahong Han, Qinghua Hu, Fei Wu
2017	J	`jnl`	Twitter summarization with social-temporal context. World Wide Web Ruifang He, Yang Liu, Guangchuan Yu, Jiliang Tang, Qinghua Hu, Jianwu Dang
2017	B	`conf`	Unsupervised feature selection by manifold regularized self-representation. ICIP Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016	—	`conf`	A Label Inference Method Based on Maximal Entropy Random Walk over Graphs. APWeb (1) Jing Pan, Yajun Yang, Qinghua Hu, Hong Shi
2016	A*	`conf`	A Self-Representation Induced Classifier. IJCAI Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Qinghua Hu
2016	—	`conf`	AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects. CCPR (1) Lei Xu, Qinghua Hu, Xisheng Zhang, Yanshuo Chen, Changrui Liao
2016	J	`jnl`	Attribute reduction in interval-valued information systems based on information entropies. Frontiers Inf. Technol. Electron. Eng. Jianhua Dai, Hu Hu, Guojie Zheng, Qinghua Hu, Huifeng Han, Hong Shi
2016	J	`jnl`	Cluster structure preserving unsupervised feature selection for multi-view tasks. Neurocomputing Hong Shi, Yin Li, Yahong Han, Qinghua Hu
2016	J	`jnl`	Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Inf. Sci. Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du
2016	—	`conf`	Complex convolution Kernel for deep networks. WCSP Kaizhou Li, Hong Shi, Qinghua Hu
2016	J	`jnl`	Convolutional neural random fields for action recognition. Pattern Recognit. Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang
2016	J	`jnl`	Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence. Inf. Sci. Hong Zhao, Ping Wang, Qinghua Hu
2016	A*	`conf`	Coupled Dictionary Learning for Unsupervised Feature Selection. AAAI Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
2016	J	`jnl`	Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification. IEEE Trans. Cybern. Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric C. C. Tsang
2016	J	`jnl`	Day-Ahead Prediction of Wind Speed with Deep Feature Learning. Int. J. Pattern Recognit. Artif. Intell. Jie Wan, Jinfu Liu, Guorui Ren, Yufeng Guo, Daren Yu, Qinghua Hu
2016	J	`jnl`	Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making. J. Intell. Fuzzy Syst. Jianhua Dai, Guojie Zheng, Qinghua Hu, Maofu Liu, Huashi Su
2016	J	`jnl`	Discrete particle swarm optimization approach for cost sensitive attribute reduction. Knowl. Based Syst. Jianhua Dai, Huifeng Han, Qinghua Hu, Maofu Liu
2016	—	`conf`	DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory. WAIM (2) Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Jinghong Zhang, Wentao Wang
2016	J	`jnl`	Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal. IEEE Trans. Circuits Syst. Video Technol. Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai
2016	J	`jnl`	Feature and instance reduction for PNN classifiers based on fuzzy rough sets. Int. J. Mach. Learn. Cybern. Eric C. C. Tsang, Qinghua Hu, Degang Chen
2016	J	`jnl`	Hierarchical support vector machine based structural classification with fused hierarchies. Neurocomputing Shuo Zhao, Yahong Han, Quan Zou, Qinghua Hu
2016	—	`conf`	Locally Weighted Ensemble Learning for Regression. PAKDD (1) Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu
2016	J	`jnl`	Multi-document summarization via group sparse learning. Inf. Sci. Ruifang He, Jiliang Tang, Pinghua Gong, Qinghua Hu, Bo Wang
2016	J	`jnl`	Multi-label feature selection based on neighborhood mutual information. Appl. Soft Comput. Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinkun Chen, Jie Duan
2016	J	`jnl`	Multi-label feature selection with streaming labels. Inf. Sci. Yaojin Lin, Qinghua Hu, Jia Zhang, Xindong Wu
2016	B	`conf`	Multi-view Representative and Informative Induced Active Learning. PRICAI Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu
2016	J	`jnl`	Multivariate decision trees with monotonicity constraints. Knowl. Based Syst. Shenglei Pei, Qinghua Hu, Chao Chen
2016	—	`conf`	Robust Multi-label Feature Selection with Missing Labels. CCPR (1) Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016	—	`conf`	Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy. WAIM (2) Jianhua Dai, Huifeng Han, Hu Hu, Qinghua Hu, Bingjie Wei, Yuejun Yan
2016	J	`jnl`	Semi-supervised image clustering with multi-modal information. Multim. Syst. Jianqing Liang, Yahong Han, Qinghua Hu
2016	B	`conf`	Set to Set Visual Tracking. PRICAI Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016	J	`jnl`	Ultra-short-term wind speed prediction based on multi-scale predictability analysis. Clust. Comput. Jie Wan, Guorui Ren, Jinfu Liu, Qinghua Hu, Daren Yu
2016	—	`conf`	Unsupervised Subspace Learning via Analysis Dictionary Learning. CCBR Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2015	J	`jnl`	An improved attribute reduction scheme with covering based rough sets. Appl. Soft Comput. Changzhong Wang, Mingwen Shao, Baiqing Sun, Qinghua Hu
2015	J	`jnl`	Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition. Neurocomputing Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia
2015	—	`conf`	Fuzzy Rough Decision Trees for Multi-label Classification. RSFDGrC Xiaoxue Wang, Shuang An, Hong Shi, Qinghua Hu
2015	J	`jnl`	HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy. Bioinform. Quan Zou, Qinghua Hu, Maozu Guo, Guohua Wang
2015	J	`jnl`	Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO. IEEE Trans. Multim. Lei Zhao, Qinghua Hu, Wenwu Wang
2015	—	`conf`	Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks. ICONIP (4) Lei Zhao, Qinghua Hu, Yucan Zhou
2015	B	`conf`	Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification. IJCNN Yucan Zhou, Xiaowei Cui, Qinghua Hu, Yuan Jia
2015	J	`jnl`	Improved support vector machine algorithm for heterogeneous data. Pattern Recognit. Shili Peng, Qinghua Hu, Yinli Chen, Jianwu Dang
2015	J	`jnl`	Kernel ridge regression for general noise model with its application. Neurocomputing Shiguang Zhang, Qinghua Hu, Zongxia Xie, Ju-Sheng Mi
2015	J	`jnl`	Kernel sparse representation for time series classification. Inf. Sci. Zhihua Chen, Wangmeng Zuo, Qinghua Hu, Liang Lin
2015	J	`jnl`	Large margin clustering on uncertain data by considering probability distribution similarity. Neurocomputing Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan, Changrui Liao
2015	J	`jnl`	Multi-label feature selection based on max-dependency and min-redundancy. Neurocomputing Yaojin Lin, Qinghua Hu, Jinghua Liu, Jie Duan
2015	A*	`conf`	Random Feature Mapping with Signed Circulant Matrix Projection. IJCAI Chang Feng, Qinghua Hu, Shizhong Liao
2015	—	`ed.`	Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings RSFDGrC Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse
2015	B	`conf`	Salience based hierarchical fuzzy representation for object recognition. ICIP Lifeng Yang, Qinghua Hu, Lei Zhao, Yin Li
2015	J	`jnl`	Unsupervised feature selection by regularized self-representation. Pattern Recognit. Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon C. K. Shiu
2014	J	`jnl`	A Sparse Outliers Iterative Removal Algorithm to Model the Background in the Video Sequences. CoRR Linhao Li, Ping Wang, Qinghua Hu, Sijia Cai
2014	J	`jnl`	A heuristic approach to effective and efficient clustering on uncertain objects. Knowl. Based Syst. Lei Xu, Qinghua Hu, Edward Hung, Chi-Cheong Szeto
2014	J	`jnl`	A novel method for attribute reduction of covering decision systems. Inf. Sci. Changzhong Wang, Qiang He, Degang Chen, Qinghua Hu
2014	J	`jnl`	An approach to facial expression analysis with multi-model interactions. Int. J. Comput. Math. Chao Xu, Qinghua Hu, Guangquan Xu, Zhiyong Feng
2014	—	`conf`	Analysis of HEp-2 images using MD-LBP and MAD-bagging. EMBC Gerald Schaefer, Niraj P. Doshi, Shao Ying Zhu, Qinghua Hu
2014	—	`conf`	Classification of HEp-2 Cell Images Using Compact Multi-Scale Texture Information and Margin Distribution Based Bagging. AMLTA Gerald Schaefer, Niraj P. Doshi, Qinghua Hu, Aboul Ella Hassanien
2014	J	`jnl`	Comparative analysis on margin based feature selection algorithms. Int. J. Mach. Learn. Cybern. Wei Pan, Peijun Ma, Qinghua Hu, Xiaohong Su, Chaoqi Ma
2014	J	`jnl`	Exploiting diversity for optimizing margin distribution in ensemble learning. Knowl. Based Syst. Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu
2014	J	`jnl`	Exploration of classification confidence in ensemble learning. Pattern Recognit. Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu
2014	J	`jnl`	Feature selection for monotonic classification via maximizing monotonic dependency. Int. J. Comput. Intell. Syst. Weiwei Pan, Qinghua Hu, Yanping Song, Daren Yu
2014	J	`jnl`	Feature selection with test cost constraint. Int. J. Approx. Reason. Fan Min, Qinghua Hu, William Zhu
2014	J	`jnl`	Fuzzy Rough Decision Trees. Fundam. Informaticae Shuang An, Hong Shi, Qinghua Hu, Jianwu Dang
2014	J	`jnl`	Fuzzy information systems and their homomorphisms. Fuzzy Sets Syst. Changzhong Wang, Degang Chen, Qinghua Hu
2014	J	`jnl`	Fuzzy rough regression with application to wind speed prediction. Inf. Sci. Shuang An, Hong Shi, Qinghua Hu, Xiaoqi Li, Jianwu Dang
2014	J	`jnl`	Improved conditional random fields model with multi-trigger embedding for Chinese event extraction. World Wide Web Ruifang He, Yang Zhang, Tuo Li, Qinghua Hu
2014	A	`conf`	Learning conditional random field with hierarchical representations for dialogue act recognition. INTERSPEECH Yucan Zhou, Qinghua Hu, Jie Liu, Yuan Jia
2014	J	`jnl`	Multi-granularity distance metric learning via neighborhood granule margin maximization. Inf. Sci. Pengfei Zhu, Qinghua Hu, Wangmeng Zuo, Meng Yang
2014	—	`conf`	Multi-label Attribute Evaluation Based on Fuzzy Rough Sets. RSCTC Lingjun Zhang, Qinghua Hu, Yucan Zhou, Xiaoxue Wang
2014	—	`conf`	Multi-label Feature Selection with Fuzzy Rough Sets. RSKT Lingjun Zhang, Qinghua Hu, Jie Duan, Xiaoxue Wang
2014	J	`jnl`	Noise model based v-support vector regression with its application to short-term wind speed forecasting. Neural Networks Qinghua Hu, Shiguang Zhang, Zongxia Xie, Ju-Sheng Mi, Jie Wan
2014	—	`ed.`	Rough Sets and Knowledge Technology - 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings RSKT Duoqian Miao, Witold Pedrycz, Dominik Slezak, Georg Peters, Qinghua Hu, Ruizhi Wang
2014	J	`jnl`	Set-based granular computing: A lattice model. Int. J. Approx. Reason. Yuhua Qian, Hu Zhang, Feijiang Li, Qinghua Hu, Jiye Liang
2014	A*	`conf`	What Can We Learn about Motion Videos from Still Images? ACM Multimedia Jianguang Zhang, Yahong Han, Jinhui Tang, Qinghua Hu, Jianmin Jiang
2013	J	`jnl`	A Comparative Study of Ordered and Covering Information Systems. Fundam. Informaticae Changzhong Wang, Degang Chen, Qiang He, Qinghua Hu
2013	J	`jnl`	Adaptive neighborhood granularity selection and combination based on margin distribution optimization. Inf. Sci. Pengfei Zhu, Qinghua Hu
2013	J	`jnl`	Communication Between Information Systems Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Eric C. C. Tsang, Changzhong Wang, Degang Chen, Congxin Wu, Qinghua Hu
2013	J	`jnl`	Dynamic classifier ensemble using classification confidence. Neurocomputing Leijun Li, Bo Zou, Qinghua Hu, Xiangqian Wu, Daren Yu
2013	—	`conf`	Exploring Margin for Dynamic Ensemble Selection. RSKT Leijun Li, Qinghua Hu, Xiangqian Wu, Daren Yu
2013	—	`ch.`	Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. Rough Sets and Intelligent Systems (1) Qinghua Hu, Leijun Li, Pengfei Zhu
2013	J	`jnl`	On rough approximations of groups. Int. J. Mach. Learn. Cybern. Changzhong Wang, Degang Chen, Qinghua Hu
2013	J	`jnl`	Robust Object Tracking Via Active Feature Selection. IEEE Trans. Circuits Syst. Video Technol. Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, Qinghua Hu
2013	J	`jnl`	Robust feature selection based on regularized brownboost loss. Knowl. Based Syst. Wei Pan, Qinghua Hu, Peijun Ma, Xiaohong Su
2013	J	`jnl`	Rule extraction from support vector machines based on consistent region covering reduction. Knowl. Based Syst. Pengfei Zhu, Qinghua Hu
2013	—	`conf`	The effect of accent in recognizing dialog act in Chinese. O-COCOSDA/CASLRE Yucan Zhou, Yuan Jia, Qinghua Hu, Aijun Li
2012	J	`jnl`	A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu
2012	J	`jnl`	An improved approach to attribute reduction with covering rough sets CoRR Changzhong Wang, Baiqing Sun, Qinghua Hu
2012	J	`jnl`	Communication between information systems with covering based rough sets. Inf. Sci. Changzhong Wang, Degang Chen, Baiqing Sun, Qinghua Hu
2012	—	`conf`	Facial Expressions Analysis Based on Cooperative Neuro-computing Interactions. IScIDE Chao Xu, Guangquan Xu, Qinghua Hu, Zhiyong Feng
2012	Misc	`conf`	Fault diagnosis based on pruned ensemble. ICMLC Jian Sun, Leijun Li, Qinghua Hu
2012	J	`jnl`	Feature Selection for Monotonic Classification. IEEE Trans. Fuzzy Syst. Qinghua Hu, Weiwei Pan, Lei Zhang, David Zhang, Yanping Song, Maozu Guo, Daren Yu
2012	J	`jnl`	Feature selection with test cost constraint CoRR Fan Min, Qinghua Hu, William Zhu
2012	—	`conf`	Fuzzy Rough Decision Trees. RSCTC Shuang An, Qinghua Hu
2012	J	`jnl`	Granular association rules on two universes with four measures CoRR Fan Min, Qinghua Hu, William Zhu
2012	Misc	`conf`	Granular association rules with four subtypes. GrC Fan Min, Qinghua Hu, William Zhu
2012	J	`jnl`	Large-margin feature selection for monotonic classification. Knowl. Based Syst. Qinghua Hu, Weiwei Pan, Yanping Song, Daren Yu
2012	J	`jnl`	Margin distribution based bagging pruning. Neurocomputing Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu
2012	—	`conf`	Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization. ECCV (1) Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu
2012	J	`jnl`	On Robust Fuzzy Rough Set Models. IEEE Trans. Fuzzy Syst. Qinghua Hu, Lei Zhang, Shuang An, David Zhang, Daren Yu
2012	J	`jnl`	Rank Entropy-Based Decision Trees for Monotonic Classification. IEEE Trans. Knowl. Data Eng. Qinghua Hu, Xunjian Che, Lei Zhang, David Zhang, Maozu Guo, Daren Yu
2012	J	`jnl`	Rough C-means and Fuzzy Rough C-means for Colour Quantisation. Fundam. Informaticae Gerald Schaefer, Qinghua Hu, Huiyu Zhou, James F. Peters, Aboul Ella Hassanien
2012	J	`jnl`	Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets. Fundam. Informaticae Shuang An, Qinghua Hu, Daren Yu, Jinfu Liu
2011	A*	`conf`	A linear subspace learning approach via sparse coding. ICCV Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang
2011	—	`conf`	Case-Based Classifiers with Fuzzy Rough Sets. RSKT Shuang An, Qinghua Hu, Daren Yu
2011	J	`jnl`	Data compression with homomorphism in covering information systems. Int. J. Approx. Reason. Changzhong Wang, Degang Chen, Chong Wu, Qinghua Hu
2011	—	`conf`	Driver Status Recognition by Neighborhood Covering Rules. RSKT Yong Du, Qinghua Hu, Peijun Ma, Xiaohong Su
2011	J	`jnl`	Dynamic time warping constraint learning for large margin nearest neighbor classification. Inf. Sci. Daren Yu, Xiao Yu, Qinghua Hu, Jinfu Liu, Anqi Wu
2011	J	`jnl`	Feature Selection in Decision Systems Based on Conditional Knowledge Granularity. Int. J. Comput. Intell. Syst. Tingquan Deng, Chengdong Yang, Qinghua Hu
2011	J	`jnl`	Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection. Int. J. Comput. Intell. Syst. Daren Yu, Shuang An, Qinghua Hu
2011	J	`jnl`	Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring. Fundam. Informaticae Yong Du, Qinghua Hu, Degang Chen, Peijun Ma
2011	J	`jnl`	Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen
2011	J	`jnl`	Large-margin nearest neighbor classifiers via sample weight learning. Neurocomputing Qinghua Hu, Pengfei Zhu, Yongbin Yang, Daren Yu
2011	J	`jnl`	Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Syst. Appl. Qinghua Hu, Lei Zhang, David Zhang, Wei Pan, Shuang An, Witold Pedrycz
2011	J	`jnl`	Neighborhood based sample and feature selection for SVM classification learning. Neurocomputing Qiang He, Zongxia Xie, Qinghua Hu, Congxin Wu
2011	J	`jnl`	Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets. Inf. Sci. Degang Chen, Qinghua Hu, Yongping Yang
2011	J	`jnl`	Robust fuzzy rough classifiers. Fuzzy Sets Syst. Qinghua Hu, Shuang An, Xiao Yu, Daren Yu
2011	J	`jnl`	Rule learning for classification based on neighborhood covering reduction. Inf. Sci. Yong Du, Qinghua Hu, Pengfei Zhu, Peijun Ma
2011	—	`conf`	Visual Object Recognition with Bagging of One Class Support Vector Machines. IBICA Zongxia Xie, Yong Xu, Qinghua Hu
2010	—	`conf`	A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball. RSKT Shuang An, Qinghua Hu, Daren Yu
2010	J	`jnl`	A novel measure for evaluating classifiers. Expert Syst. Appl. Jin-Mao Wei, Xiao-Jie Yuan, Qinghua Hu, Shu-Qin Wang
2010	J	`jnl`	An efficient gene selection technique for cancer recognition based on neighborhood mutual information. Int. J. Mach. Learn. Cybern. Qinghua Hu, Wei Pan, Shuang An, Peijun Ma, Jin-Mao Wei
2010	J	`jnl`	Feature Selection via Maximizing Fuzzy Dependency. Fundam. Informaticae Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, Daren Yu
2010	J	`jnl`	Feature evaluation and selection based on neighborhood soft margin. Neurocomputing Qinghua Hu, Xunjian Che, Lei Zhang, Daren Yu
2010	J	`jnl`	Fuzzy preference based rough sets. Inf. Sci. Qinghua Hu, Daren Yu, Maozu Guo
2010	J	`jnl`	Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reason. Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu
2010	J	`jnl`	Information entropy for ordinal classification. Sci. China Inf. Sci. Qinghua Hu, Maozu Guo, Daren Yu, Jinfu Liu
2010	—	`ed.`	Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. Proceedings RSCTC Marcin S. Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen, Qinghua Hu
2010	J	`jnl`	Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization. IEEE Trans. Syst. Man Cybern. Part B Qinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang
2010	J	`jnl`	Soft fuzzy rough sets for robust feature evaluation and selection. Inf. Sci. Qinghua Hu, Shuang An, Daren Yu
2010	J	`jnl`	Some invariant properties of ordered information systems under homomorphism. Sci. China Inf. Sci. Changzhong Wang, Degang Chen, Qinghua Hu
2010	—	`conf`	Weighted Nearest Neighbor Classification via Maximizing Classification Consistency. RSCTC Pengfei Zhu, Qinghua Hu, Yongbin Yang
2009	C	`conf`	Feature Selection via Maximizing Neighborhood Soft Margin. ACML Qinghua Hu, Xunjian Che, Jinfu Liu
2009	—	`conf`	Kernelized Fuzzy Rough Sets. RSKT Qinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz
2009	—	`conf`	Rough Image Colour Quantisation. RSFDGrC Gerald Schaefer, Huiyu Zhou, Qinghua Hu, Aboul Ella Hassanien
2008	J	`jnl`	A comparative study on rough set based class imbalance learning. Knowl. Based Syst. Jinfu Liu, Qinghua Hu, Daren Yu
2008	J	`jnl`	A weighted rough set based method developed for class imbalance learning. Inf. Sci. Jinfu Liu, Qinghua Hu, Daren Yu
2008	J	`jnl`	Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures". IEEE Trans. Fuzzy Syst. Qinghua Hu, Zongxia Xie, Daren Yu
2008	J	`jnl`	Communicating between information systems. Inf. Sci. Changzhong Wang, Congxin Wu, Degang Chen, Qinghua Hu, Chong Wu
2008	Misc	`conf`	Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection. GrC Shuang An, Qinghua Hu, Daren Yu
2008	Misc	`conf`	Fuzzy Preference Relation Rough Sets. GrC Qinghua Hu, Daren Yu, Congxin Wu
2008	J	`jnl`	Mixed feature selection based on granulation and approximation. Knowl. Based Syst. Qinghua Hu, Jinfu Liu, Daren Yu
2008	J	`jnl`	Neighborhood classifiers. Expert Syst. Appl. Qinghua Hu, Daren Yu, Zongxia Xie
2008	J	`jnl`	Neighborhood rough set based heterogeneous feature subset selection. Inf. Sci. Qinghua Hu, Daren Yu, Jinfu Liu, Congxin Wu
2008	J	`jnl`	Research on Rough Set Theory and Applications in China. Trans. Rough Sets Guoyin Wang, Qinghua Zhang, Houkuan Huang, Dongyi Ye, Qinghua Hu, Xuegang Hu, Zhongzhi Shi, Yongli Li, Lin Shang, Liping An, Ying Sai, Shanben Chen, Jiye Liang, Keyun Qin, Huanglin Zeng, Keming Xie, Duoqian Miao, Fan Min, Zhaocong Wu, Wei-Zhi Wu, Jianhua Dai
2008	—	`conf`	Stability Analysis on Rough Set Based Feature Evaluation. RSKT Qinghua Hu, Jinfu Liu, Daren Yu
2007	—	`conf`	A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM. RSFDGrC Xueshen Sui, Qinghua Hu, Daren Yu, Zongxia Xie, Zhongying Qi
2007	J	`jnl`	A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Inf. Sci. Degang Chen, Changzhong Wang, Qinghua Hu
2007	B	`conf`	Consistency Based Attribute Reduction. PAKDD Qinghua Hu, Hui Zhao, Zongxia Xie, Daren Yu
2007	J	`jnl`	EROS: Ensemble rough subspaces. Pattern Recognit. Qinghua Hu, Daren Yu, Zongxia Xie, Xiaodong Li
2007	J	`jnl`	Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognit. Qinghua Hu, Zongxia Xie, Daren Yu
2007	—	`conf`	Selecting Samples and Features for SVM Based on Neighborhood Model. RSFDGrC Qinghua Hu, Daren Yu, Zongxia Xie
2007	J	`jnl`	Uncertainty measures for fuzzy relations and their applications. Appl. Soft Comput. Daren Yu, Qinghua Hu, Congxin Wu
2007	B	`conf`	Weighted Rough Set Learning: Towards a Subjective Approach. PAKDD Jinfu Liu, Qinghua Hu, Daren Yu
2006	B	`conf`	Analysis on Classification Performance of Rough Set Based Reducts. PRICAI Qinghua Hu, Xiaodong Li, Daren Yu
2006	J	`jnl`	Fuzzy Probabilistic Approximation Spaces and Their Information Measures. IEEE Trans. Fuzzy Syst. Qinghua Hu, Daren Yu, Zongxia Xie, Jinfu Liu
2006	—	`conf`	Improved Feature Selection Algorithm Based on SVM and Correlation. ISNN (1) Zongxia Xie, Qinghua Hu, Daren Yu
2006	J	`jnl`	Information-preserving hybrid data reduction based on fuzzy-rough techniques. Pattern Recognit. Lett. Qinghua Hu, Daren Yu, Zongxia Xie
2005	—	`conf`	An Improved Clustering Algorithm for Information Granulation. FSKD (1) Qinghua Hu, Daren Yu
2005	—	`conf`	Constructing Rough Decision Forests. RSFDGrC (2) Qinghua Hu, Daren Yu, Ming-Yang Wang
2005	—	`conf`	Diversity Measure for Multiple Classifier Systems. FSKD (1) Qinghua Hu, Daren Yu
2005	—	`conf`	Fuzzy Output Support Vector Machines for Classification. ICNC (3) Zongxia Xie, Qinghua Hu, Daren Yu
2005	A	`conf`	Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. SDM Qinghua Hu, Daren Yu, Zongxia Xie
2004	J	`jnl`	Entropies Of Fuzzy Indiscernibility Relation And Its Operations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Qinghua Hu, Daren Yu