Qingyao Wu

According to our database, Qingyao Wu authored at least 147 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu

IEEE Trans. Multim., 2024

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

Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu

IEEE Trans. Multim., 2024

Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring.

Lvlong Lai, Jian Chen, Qingyao Wu

IEEE Trans. Multim., 2024

Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion.

Xiao Li, Ruirui Liu, Huichou Huang, Qingyao Wu

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration.

Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Spatial-Semantic Collaborative Cropping for User Generated Content.

Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation.

Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification.

Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu

Pattern Recognit., December, 2023

Densely packed object detection with transformer-based head and EM-merger.

Xiaojing Zhong, Ni Zhang, Hao Hu, Li Li, Junhua Cen, Qingyao Wu

Serv. Oriented Comput. Appl., June, 2023

Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation.

Siraj Khan, Yuxin Guo, Yuzhong Ye, Chunshan Li, Qingyao Wu

Neural Process. Lett., June, 2023

Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks.

Siraj Khan, Muhammad Asim, Salabat Khan, Ahmad Musyafa, Qingyao Wu

Comput. Electr. Eng., January, 2023

SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization.

Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu

CoRR, 2023

DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human.

Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu

CoRR, 2023

Typhoon Intensity Prediction with Vision Transformer.

Huanxin Chen, Pengshuai Yin, Huichou Huang, Qingyao Wu, Ruirui Liu, Xiatian Zhu

CoRR, 2023

Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization.

Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu

CoRR, 2023

Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking.

Yukun Su, Ruizhou Sun, Xin Shu, Yu Zhang, Qingyao Wu

CoRR, 2023

Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds.

Yukun Su, Guosheng Lin, Qingyao Wu

CoRR, 2023

WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning.

Dongjian Huo, Zehong Zhang, Hanjing Su, Guanbin Li, Chaowei Fang, Qingyao Wu

CoRR, 2023

Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning.

Zhuorui Qin, Xiaoqian Wu, Yimin Zheng, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2023

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract).

Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract.

Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering.

Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DENet: Disentangled Embedding Network for Visible Watermark Removal.

Ruizhou Sun, Yukun Su, Qingyao Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation.

Hanrui Wu, Qingyao Wu, Michael K. Ng

ACM Trans. Inf. Syst., 2022

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.

Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan

IEEE Trans. Knowl. Data Eng., 2022

Transferable Feature Selection for Unsupervised Domain Adaptation.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2022

Iterative Refinement for Multi-Source Visual Domain Adaptation.

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2022

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

Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2022

Semisupervised Feature Selection via Structured Manifold Learning.

Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao

IEEE Trans. Cybern., 2022

Dense Semantics-Assisted Networks for Video Action Recognition.

Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua

IEEE Trans. Circuits Syst. Video Technol., 2022

CAM-based non-local attention network for weakly supervised fire detection.

Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu

Serv. Oriented Comput. Appl., 2022

Speaker extraction network with attention mechanism for speech dialogue system.

Yun Hao, Jiaju Wu, Xiangkang Huang, Zijia Zhang, Fei Liu, Qingyao Wu

Serv. Oriented Comput. Appl., 2022

Visual Grounding Via Accumulated Attention.

Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving Generative Adversarial Networks With Local Coordinate Coding.

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

EpNet: Power lines foreign object detection with Edge Proposal Network and data composition.

Junyu Su, Yukun Su, Yu Zhang, Weiqiang Yang, Huichou Huang, Qingyao Wu

Knowl. Based Syst., 2022

Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation.

Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu

Knowl. Based Syst., 2022

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

Pengshuai Yin, Hongmin Cai, Qingyao Wu

Inf. Fusion, 2022

Dual Progressive Transformations for Weakly Supervised Semantic Segmentation.

Dongjian Huo, Yukun Su, Qingyao Wu

CoRR, 2022

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

Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu

CoRR, 2022

Deep IoU Network for Dense Rebar Object Detection.

Xiaojing Zhong, Hao Hu, Li Li, Junhua Cen, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

An End-to-End Speech Recognition System Based on Shared Encoder.

Zhengchang Wen, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

Robust Video watermarking based on deep neural network and curriculum learning.

Zehui Ke, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

Improved A* Method for High Efficiency Forklift Path Planning.

Xinyi Huang, Ni Zhang, Kesheng Fan, Xiaojing Zhong, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

General Object Pose Transformation Network from Unpaired Data.

Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Supervised Object Localization with Joint Graph Partition.

Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.

Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Online Adaptive Asymmetric Active Learning With Limited Budgets.

Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan

IEEE Trans. Knowl. Data Eng., 2021

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.

Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2021

CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence.

Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao

IEEE Trans. Image Process., 2021

Fast Manifold Ranking With Local Bipartite Graph.

Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie

IEEE Trans. Image Process., 2021

Selection of diverse features with a diverse regularization.

Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang

Pattern Recognit., 2021

Towards effective deep transfer via attentive feature alignment.

Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan

Neural Networks, 2021

Graph neural network for 6D object pose estimation.

Pengshuai Yin, Jiayong Ye, Guosheng Lin, Qingyao Wu

Knowl. Based Syst., 2021

Joint Visual and Semantic Optimization for zero-shot learning.

Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng

Knowl. Based Syst., 2021

Deep level set learning for optic disc and cup segmentation.

Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu

Neurocomputing, 2021

Calibrating Class Activation Maps for Long-Tailed Visual Recognition.

Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu

CoRR, 2021

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

Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Debiased Visual Question Answering from Feature and Sample Perspectives.

Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Yukun Su, Guosheng Lin, Ruizhou Sun, Yun Hao, Qingyao Wu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.

Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision.

Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

A Vision-based Lane Departure Warning Framework.

Jiaju Wu, Pengshuai Yin, Xin Shu, Huichou Huang, Fei Liu, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi.

Wenjun Wang, Xiangkang Huang, Xin Shu, Shuping Li, Huichou Huang, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task.

Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

Denoi-SpEx+: A Speaker Extraction Network based Speech Dialogue System.

Yun Hao, Xiangkang Huang, Huichou Huang, Qingyao Wu

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation.

Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Yukun Su, Guosheng Lin, Qingyao Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

LABIN: Balanced Min Cut for Large-Scale Data.

Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.

Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

IEEE Trans. Image Process., 2020

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

Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li

IEEE Trans. Image Process., 2020

Scripted Video Generation With a Bottom-Up Generative Adversarial Network.

Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan

IEEE Trans. Image Process., 2020

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

Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu

Neural Networks, 2020

Geometric Knowledge Embedding for unsupervised domain adaptation.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu

Knowl. Based Syst., 2020

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

Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang

CoRR, 2020

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

Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan

CoRR, 2020

Deep Guidance Network for Biomedical Image Segmentation.

Pengshuai Yin, Rui Yuan, Yiming Cheng, Qingyao Wu

IEEE Access, 2020

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

Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

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

Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

Graph Edit Distance Reward: Learning to Edit Scene Graph.

Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

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

Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan

IEEE Trans. Multim., 2019

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis.

Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan

IEEE Trans. Multim., 2019

Online Heterogeneous Transfer Learning by Knowledge Transition.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2019

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

Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan

IEEE Trans. Image Process., 2019

Subspace Weighting Co-Clustering of Gene Expression Data.

Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

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

Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou

Neural Networks, 2019

Informative Feature Clustering and Selection for Gene Expression Data.

Yuqi Yang, Pengshuai Yin, Zhihang Luo, Wenwen Gu, Renjie Chen, Qingyao Wu

IEEE Access, 2019

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

Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Attention Guided Network for Retinal Image Segmentation.

Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Oversampling for Imbalanced Data via Optimal Transport.

Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.

Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., 2018

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

Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu

Neurocomputing, 2018

Supervised Feature Selection With a Stratified Feature Weighting Method.

Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu

IEEE Access, 2018

Discrimination-aware Channel Pruning for Deep Neural Networks.

Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images.

Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.

Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarial Learning with Local Coordinate Coding.

Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

Proceedings of the 35th International Conference on Machine Learning, 2018

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.

Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Double Forward Propagation for Memorized Batch Normalization.

Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Stratified Feature Ranking Method for Supervised Feature Selection.

Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu

IEEE Trans. Neural Networks Learn. Syst., 2017

A Unified Framework for Metric Transfer Learning.

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.

Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao

IEEE Trans. Knowl. Data Eng., 2017

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

Tianyong Hao, Wenxiu Xie, Qingyao Wu, Heng Weng, Yingying Qu

Knowl. Based Syst., 2017

Online transfer learning by leveraging multiple source domains.

Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min

Knowl. Inf. Syst., 2017

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers.

Jinxia Li, Yihan Zheng, Chao Han, Qingyao Wu, Jian Chen

Proceedings of the Intelligence Science and Big Data Engineering, 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Tensor Based Relations Ranking for Multi-relational Collective Classification.

Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Self-Balanced Min-Cut Algorithm for Image Clustering.

Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu

Proceedings of the IEEE International Conference on Computer Vision, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.

Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Individual Judgments Versus Consensus: Estimating Query-URL Relevance.

Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida

ACM Trans. Web, 2016

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

Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2016

Online Feature Selection of Class Imbalance via PA Algorithm.

Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu

J. Comput. Sci. Technol., 2016

A fast Markov chain based algorithm for MIML learning.

Michael K. Ng, Qingyao Wu, Chenyang Shen

Neurocomputing, 2016

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.

Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi

CoRR, 2016

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

Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu

Comput. Biol. Chem., 2016

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

Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.

Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Online Multi-Instance Multi-Label learning for protein function prediction.

Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

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

Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho

IEEE Trans. Neural Networks Learn. Syst., 2015

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

Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun

Knowl. Based Syst., 2015

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

Chao Han, Jian Chen, Qingyao Wu, Shuai Mu, Huaqing Min

J. Bioinform. Comput. Biol., 2015

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

Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, Ning Sun

BMC Syst. Biol., 2015

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

Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li

BMC Genom., 2015

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

Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han

Big Data Res., 2015

2014

ForesTexter: An efficient random forest algorithm for imbalanced text categorization.

Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho

Knowl. Based Syst., 2014

Multi-label collective classification via Markov chain based learning method.

Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li

Knowl. Based Syst., 2014

Cotransfer Learning Using Coupled Markov Chains with Restart.

Qingyao Wu, Michael K. Ng, Yunming Ye

IEEE Intell. Syst., 2014

Collective prediction of protein functions from protein-protein interaction networks.

Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi

BMC Bioinform., 2014

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

Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

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

Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li

Pattern Recognit., 2013

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

Qingyao Wu, Michael K. Ng, Yunming Ye

Knowl. Inf. Syst., 2013

Unknown Chinese word extraction based on variety of overlapping strings.

Yunming Ye, Qingyao Wu, Yan Li, Kam-Pui Chow, Lucas Chi Kwong Hui, Siu-Ming Yiu

Inf. Process. Manag., 2013

Cluster tree based multi-label classification for protein function prediction.

Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension.

Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Stratified Random Forest for Genome-wide Association Study.

Qingyao Wu, Yunming Ye, Yang Liu, Michael K. Ng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Exploiting Word Cluster Information for Unsupervised Feature Selection.

Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

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

Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010