Qingyao Wu

发表

Exploiting Word Cluster Information for Unsupervised Feature Selection

M. Ng, J. Huang, Yunming Ye, 2010, PRICAI.

SNP Selection and Classification of Genome-Wide SNP Data Using Stratified Sampling Random Forests

M. Ng, Yunming Ye, Qingyao Wu, 2012, IEEE Transactions on NanoBioscience.

Co-transfer learning via joint transition probability graph based method

M. Ng, Yunming Ye, Qingyao Wu, 2012, CDKD '12.

MultiFacTV: module detection from higher-order time series biological data

M. Ng, Xutao Li, Yunming Ye, 2013, BMC Genomics.

Optic Disc and Cup Segmentation using Ensemble Deep Neural Networks

Huaqing, Mingkui Tan, Qingyao Wu, 2018 .

2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012, Philadelphia, PA, USA, October 4-7, 2012

Xiaohua Hu, Yunming Ye, Majid Sarrafzadeh, 2012, IEEE International Conference on Bioinformatics and Biomedicine.

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification

Mingkui Tan, Qingyao Wu, Jian Chen, 2020 .

Semisupervised Feature Selection via Structured Manifold Learning

F. Nie, Rui Mao, Qingyao Wu, 2021, IEEE Transactions on Cybernetics.

Multi-instance multi-label distance metric learning for genome-wide protein function prediction

Qingyao Wu, Huaqing Min, Hengjie Song, 2016, Comput. Biol. Chem..

Dual Progressive Transformations for Weakly Supervised Semantic Segmentation

Qingyao Wu, Dong Huo, Yukun Su, 2022, ArXiv.

Discrimination-aware Channel Pruning for Deep Neural Networks

Jing Liu, Jin-Hui Zhu, Qingyao Wu, 2018, NeurIPS.

Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation

Bin Li, Qingyao Wu, Jian Chen, 2016, PAKDD.

Cotransfer Learning Using Coupled Markov Chains with Restart

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, IEEE Intelligent Systems.

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning

Ling Chen, Yunming Ye, Qingyao Wu, 2010, ADMA.

Supervised Feature Selection With a Stratified Feature Weighting Method

Qingyao Wu, Ning Sun, Min Yang, 2018, IEEE Access.

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold

Qingyao Wu, Mingkui Tan, Jiezhang Cao, 2019, IEEE Transactions on Knowledge and Data Engineering.

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, IEEE Transactions on Knowledge and Data Engineering.

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization

Chengming Li, Zhou Zhao, Ying Shen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Stratified sampling for feature subspace selection in random forests for high dimensional data

Yunming Ye, Michael K. Ng, Qingyao Wu, 2013, Pattern Recognit..

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm

M. Ng, Yunming Ye, Qingyao Wu, 2013, Knowledge and Information Systems.

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation

Wen Li, Qingyao Wu, Mingkui Tan, 2018, IJCAI.

Attention Guided Network for Retinal Image Segmentation

Shihao Zhang, Qingyao Wu, Mingkui Tan, 2019, MICCAI.

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction

Qingyao Wu, Huaqing Min, Chao Han, 2015, J. Bioinform. Comput. Biol..

Calibrating Class Activation Maps for Long-Tailed Visual Recognition pdf

Guosheng Lin, Henghui Ding, Qingyao Wu, 2021, arXiv.org.

Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity

Guosheng Lin, Qingyao Wu, Yukun Su, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Image Processing.

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers

Qingyao Wu, Mingkui Tan, Huaqing Min, 2016, ECCV Workshops.

Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation

Chi Zhang, Guosheng Lin, Qingyao Wu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Debiased Visual Question Answering from Feature and Sample Perspectives

Qi Wu, Mingkui Tan, Qingyao Wu, 2021, NeurIPS.

Visual Grounding via Accumulated Attention

Qi Wu, Qingyao Wu, Mingkui Tan, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2019, MICCAI.

Deep Guidance Network for Biomedical Image Segmentation

Pengshuai Yin, Rui Yuan, Yiming Cheng, 2020, IEEE Access.

Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization

Runhao Zeng, Chuang Gan, Mingkui Tan, 2020, ACM Multimedia.

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation

Guosheng Lin, Qingyao Wu, Yukun Su, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Online Heterogeneous Transfer Learning by Knowledge Transition

Qingyao Wu, Huaqing Min, Hanrui Wu, 2019, ACM Trans. Intell. Syst. Technol..

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources

Qingyao Wu, Mingkui Tan, Tianyong Hao, 2017, IEEE Transactions on Knowledge and Data Engineering.

A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

Guosheng Lin, Qingyao Wu, Yukun Su, 2022, IEEE Transactions on Multimedia.

Joint Visual and Semantic Optimization for zero-shot learning

Michael K. Ng, Qingyao Wu, Hanrui Wu, 2021, Knowl. Based Syst..

Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition

Qingyao Wu, Guosheng Lin, Jinhui Zhu, 2020, ECCV.

Adversarial Learning with Local Coordinate Coding

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2018, ICML.

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network

Chengming Li, Zhou Zhao, Ying Shen, 2020, IEEE Transactions on Image Processing.

DF-Net: Deep fusion network for multi-source vessel segmentation

Pengshuai Yin, Hongmin Cai, Qingyao Wu, 2022, Inf. Fusion.

Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog

Jian Chen, Qingyao Wu, Zhenhao He, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Graph neural network for 6D object pose estimation

Jiayong Ye, Pengshuai Yin, Qingyao Wu, 2021, Knowl. Based Syst..

ForesTexter: An efficient random forest algorithm for imbalanced text categorization

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Multi-label collective classification via Markov chain based learning method

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, Knowl. Based Syst..

Cluster tree based multi-label classification for protein function prediction

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation

Yunming Ye, Michael K. Ng, Qingyao Wu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks

Qingyao Wu, Huaqing Min, Xutao Li, 2015, Big Data Res..

Graph Edit Distance Reward: Learning to Edit Scene Graph

Guosheng Lin, Lichang Chen, Shijie Wang, 2020, ECCV.

Iterative Refinement for Multi-Source Visual Domain Adaptation

Qingyao Wu, Guosheng Lin, Hanrui Wu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Transferable Feature Selection for Unsupervised Domain Adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2021, IEEE Transactions on Knowledge and Data Engineering.

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis

Qingyao Wu, Mingkui Tan, Yong Guo, 2019, IEEE Transactions on Multimedia.

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering

Lei Chen, Ying Shen, Min Yang, 2020, Neural Networks.

Online Feature Selection of Class Imbalance via PA Algorithm

Yong Guo, Qingyao Wu, Chao Han, 2016, Journal of Computational Science and Technology.

Informative Feature Clustering and Selection for Gene Expression Data

Renjie Chen, Pengshuai Yin, Qingyao Wu, 2019, IEEE Access.

Online transfer learning by leveraging multiple source domains

Qingyao Wu, Huaqing Min, Xiaoming Zhou, 2017, Knowledge and Information Systems.

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning

Lei Chen, Qingyao Wu, Min Yang, 2019, IJCAI.

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2020, ArXiv.

Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks

Qi Wu, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Multimedia.

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking

Fajie Yuan, Qingyao Wu, Jian Chen, 2020, SIGIR.

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification

Michael K. Ng, Qingyao Wu, Mingkui Tan, 2016, IEEE Transactions on Knowledge and Data Engineering.

LABIN: Balanced Min Cut for Large-Scale Data

Xiaojun Chen, Feiping Nie, Qingyao Wu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Leveraging question target word features through semantic relation expansion for answer type classification

Qingyao Wu, Tianyong Hao, Yingying Qu, 2017, Knowl. Based Syst..

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification

Qingyao Wu, Mingkui Tan, Huaqing Min, 2015, Knowl. Based Syst..

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests

Qingyao Wu, Joshua Zhexue Huang, Mark Junjie Li, 2015, BMC Genomics.

Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning

Guosheng Lin, Yukun Su, Ruizhou Sun, 2021, ACM Multimedia.

Online Adaptive Asymmetric Active Learning With Limited Budgets pdf

Yifan Zhang, Qingyao Wu, Mingkui Tan, 2019, IEEE Transactions on Knowledge and Data Engineering.

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data

Qingyao Wu, Mingkui Tan, Junzhou Huang, 2018, KDD.

PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation

Ming Yang, Qingyao Wu, Mingkui Tan, 2019, MICCAI.

Towards effective deep transfer via attentive feature alignment

Mingkui Tan, Yaowei Wang, Qingyao Wu, 2021, Neural Networks.

Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization

Yunming Ye, Yueping Li, Zhenyu Wang, 2015, BMC Systems Biology.

Semi-supervised multi-label collective classification ensemble for functional genomics

Yunming Ye, Shuigeng Zhou, Qingyao Wu, 2014, BMC Genomics.

Collective prediction of protein functions from protein-protein interaction networks

Yunming Ye, Michael K. Ng, Qingyao Wu, 2014, BMC Bioinformatics.

A Generative Model with Network Regularization for Semi-Supervised Collective Classification

Yunming Ye, Qingyao Wu, Shen-Shyang Ho, 2014, SDM.

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries

Shihao Zhang, Qingyao Wu, Mingkui Tan, 2019, OMIA@MICCAI.

Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images

Qingyao Wu, Mingkui Tan, Huaqing Min, 2018, COMPAY/OMIA@MICCAI.

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation

Michael K. Ng, Qingyao Wu, Huaqing Min, 2018, Neurocomputing.

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling

Shuaicheng Niu, Mingkui Tan, Peilin Zhao, 2021, ACM Multimedia.

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract)

Michael K. Ng, Guosheng Lin, Qingyao Wu, 2023, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation

M. Ng, Qingyao Wu, Hanrui Wu, 2020, ACM Trans. Intell. Syst. Technol..

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning

Qingyao Wu, Wei Zhou, Zhou Zhao, 2019, Neural Networks.

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers

Qingyao Wu, Chao Han, Jian Chen, 2017, IScIDE.

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning

Tommy W. S. Chow, Yunming Ye, Qingyao Wu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions

Ivor W. Tsang, Michael K. Ng, Qingyao Wu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Scripted Video Generation With a Bottom-Up Generative Adversarial Network

Qi Wu, Qingyao Wu, Mingkui Tan, 2020, IEEE Transactions on Image Processing.

A Self-Balanced Min-Cut Algorithm for Image Clustering

Feiping Nie, Qingyao Wu, Joshua Zhexue Huang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A Unified Framework for Metric Transfer Learning

Hui Xiong, Qingyao Wu, Huaqing Min, 2017, IEEE Transactions on Knowledge and Data Engineering.

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization

Runhao Zeng, Chuang Gan, Peihao Chen, 2019, IEEE Transactions on Image Processing.

Subspace Weighting Co-Clustering of Gene Expression Data

Xiaojun Chen, Qingyao Wu, Min Yang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Geometric Knowledge Embedding for unsupervised domain adaptation

Qingyao Wu, Hanrui Wu, Yuguang Yan, 2020, Knowl. Based Syst..

Selection of diverse features with a diverse regularization

Weichan Zhong, Xiaojun Chen, Joshua Zhexue Huang, 2021, Pattern Recognition.

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation

Michael K. Ng, Wen Li, Qingyao Wu, 2017, IJCAI.

Dense Semantics-Assisted Networks for Video Action Recognition

Guosheng Lin, Yazhou Yao, Xiansheng Hua, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation

Chunshan Li, Qingyao Wu, Yuzhong Ye, 2023, Neural Processing Letters.

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract

Michael K. Ng, Qingyao Wu, Hanrui Wu, 2023, IEEE International Conference on Data Engineering.

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation

Hanrui Wu, Michael K. Ng, Qingyao Wu, 2021, ACM Trans. Inf. Syst..

MV-TON: Memory-based Video Virtual Try-on network

Guosheng Lin, Taizhe Tan, Zhonghua Wu, 2021, ACM Multimedia.

Improving Generative Adversarial Networks With Local Coordinate Coding

Mingkui Tan, Yong Guo, Chunhua Shen, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction

Qingyao Wu, Yonghui Xu, Hengjie Song, 2017, Scientific Reports.

Oversampling for Imbalanced Data via Optimal Transport

Michael K. Ng, Qingyao Wu, Mingkui Tan, 2019, AAAI.

Visual Grounding Via Accumulated Attention

Mingkui Tan, Qingyao Wu, Fan Lyu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stratified Random Forest for Genome-wide Association Study

Yunming Ye, Michael K. Ng, Qingyao Wu, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Unknown Chinese word extraction based on variety of overlapping strings

Siu-Ming Yiu, Yunming Ye, Qingyao Wu, 2013, Inf. Process. Manag..

Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions

Mingkui Tan, Qingyao Wu, Ge Li, 2024, IEEE Transactions on Multimedia.

Visual Grounding Via Accumulated Attention

Qi Wu, Mingkui Tan, Fuyuan Hu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A fast Markov chain based algorithm for MIML learning

Michael K. Ng, Qingyao Wu, Chenyang Shen, 2016, Neurocomputing.

Individual Judgments Versus Consensus

Chunyan Miao, Qiang Yang, Toyoaki Nishida, 2016, ACM Trans. Web.