Ou Wu

123 papers A* 13A 7B 4Misc 2Journal 66Unranked 31
YearRankTypeTitle / Venue / Authors
2026 A* conf
Unequal Vulnerability: The Differential Impact of Label Flipping Attacks Across Classes.
WWW
Pinlong Zhao, Mengyang Li, Pengfei Jiao, Huijun Tang, Ou Wu
2025 A* conf
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning.
AAAI
Xiaoling Zhou, Ou Wu, Nan Yang
2025 J jnl
Data Optimization in Deep Learning: A Survey.
IEEE Trans. Knowl. Data Eng.
Ou Wu, Rujing Yao
2025 J jnl
Data Poisoning in Deep Learning: A Survey.
CoRR
Pinlong Zhao, Weiyao Zhu, Pengfei Jiao, Di Gao, Ou Wu
2025 J jnl
Delving Into the Training Dynamics for Image Classification.
IEEE Trans. Image Process.
Mengyang Li, Xiaoling Zhou, Ou Wu
2025 J jnl
Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition.
Int. J. Mach. Learn. Cybern.
Rujing Yao, Ou Wu, Fang Wang
2025 J jnl
Subclass-wise Logit Perturbation for Multi-label Learning.
ACM Trans. Knowl. Discov. Data
Yu Zhu, Ou Wu, Fengguang Su
2025 J jnl
Toward learnable and interpretable data Shapley valuation for deep learning.
Knowl. Based Syst.
Mengyang Li, Weiyao Zhu, Ou Wu
2024 J jnl
A Taxonomy for Learning with Perturbation and Algorithms.
ACM Trans. Knowl. Discov. Data
Rujing Yao, Ou Wu
2024 J jnl
Adversarial Training With Anti-Adversaries.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoling Zhou, Ou Wu, Nan Yang
2024 J jnl
Class-Level Logit Perturbation.
IEEE Trans. Neural Networks Learn. Syst.
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
2024 J jnl
Data Valuation by Leveraging Global and Local Statistical Information.
CoRR
Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
2024 J jnl
Exploring the Learning Difficulty of Data: Theory and Measure.
ACM Trans. Knowl. Discov. Data
Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng
2024 J jnl
IRDA: Implicit data augmentation for deep imbalanced regression.
Inf. Sci.
Weiyao Zhu, Ou Wu, Nan Yang
2024 J jnl
Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies.
J. Inf. Sci.
Rui Wang, Shijie Li, Qing Yin, Ji Zhang, Rujing Yao, Ou Wu
2024 J jnl
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework.
IEEE Trans. Knowl. Data Eng.
Xiaoling Zhou, Ou Wu, Mengyang Li
2024 J jnl
Is Data Valuation Learnable and Interpretable?
CoRR
Ou Wu, Weiyao Zhu, Mengyang Li
2024 J jnl
Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting.
IEEE Trans. Image Process.
Fengguang Su, Ou Wu, Weiyao Zhu
2024 J jnl
Revisiting the Effective Number Theory for Imbalanced Learning.
IEEE Trans. Knowl. Data Eng.
Ou Wu, Mengyang Li
2024 J jnl
Which Samples Should Be Learned First: Easy or Hard?
IEEE Trans. Neural Networks Learn. Syst.
Xiaoling Zhou, Ou Wu
2023 A* conf
Combining Adversaries with Anti-adversaries in Training.
AAAI
Xiaoling Zhou, Nan Yang, Ou Wu
2023 J jnl
Combining Adversaries with Anti-adversaries in Training.
CoRR
Xiaoling Zhou, Nan Yang, Ou Wu
2023 J jnl
Data Optimization in Deep Learning: A Survey.
CoRR
Ou Wu, Rujing Yao
2023 J jnl
Exploring developments of the AI field from the perspective of methods, datasets, and metrics.
Inf. Process. Manag.
Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu
2023 J jnl
Implicit Counterfactual Data Augmentation for Deep Neural Networks.
CoRR
Xiaoling Zhou, Ou Wu
2023 J jnl
Investigating annotation noise for named entity recognition.
Neural Comput. Appl.
Yu Zhu, Yingchun Ye, Mengyang Li, Ji Zhang, Ou Wu
2023 J jnl
Rethinking Class Imbalance in Machine Learning.
CoRR
Ou Wu
2023 J jnl
SARW: Similarity-Aware Random Walk for GCN.
Intell. Data Anal.
Linlin Hou, Haixiang Zhang, Qing-Hu Hou, Alan J. X. Guo, Ou Wu, Ting Yu, Ji Zhang
2023 — conf
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series.
ECML/PKDD (5)
Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang
2023 J jnl
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure.
CoRR
Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang
2022 J jnl
Aspect-Based Sentiment Analysis with New Target Representation and Dependency Attention.
IEEE Trans. Affect. Comput.
Tao Yang, Qing Yin, Lei Yang, Ou Wu
2022 J jnl
Class-Level Logit Perturbation.
CoRR
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
2022 J jnl
Deep human answer understanding for natural reverse QA.
Knowl. Based Syst.
Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Ou Wu
2022 J jnl
Elementary discourse units with sparse attention for multi-label emotion classification.
Knowl. Based Syst.
Yu Zhu, Ou Wu
2022 J jnl
Exploring the Learning Difficulty of Data Theory and Measure.
CoRR
Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng
2022 J jnl
Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions.
Knowl. Based Syst.
Xiaoling Zhou, Ou Wu, Chao Jiang
2022 A* conf
Logit Perturbation.
AAAI
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
2022 J jnl
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst.
Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao
2022 — conf
Submodular Meta Data Compiling for Meta Optimization.
ECML/PKDD (3)
Fengguang Su, Yu Zhu, Ou Wu, Yingjun Deng
2022 B conf
Tackling the Imbalance for GNNs.
IJCNN
Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu
2022 J jnl
Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping.
IEEE Trans. Cybern.
Ou Wu, Tao Yang, Mengyang Li, Ming Li
2022 — conf
Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure.
ECML/PKDD (3)
Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang
2021 J jnl
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models.
Complex.
Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao
2021 J jnl
Compensation Learning.
CoRR
Rujing Yao, Mengyang Li, Ou Wu
2021 — conf
Drop "Noise" Edge: An Approximation of the Bayesian GNNs.
ACPR (2)
Xiaoling Zhou, Ou Wu
2021 J jnl
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm.
CoRR
Alan J. X. Guo, Qing-Hu Hou, Ou Wu
2021 J jnl
Mitigating sentimental bias via a polar attention mechanism.
Int. J. Data Sci. Anal.
Tao Yang, Rujing Yao, Qing Yin, Qiang Tian, Ou Wu
2021 J jnl
Tackling the Imbalance for GNNs.
CoRR
Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu
2021 J jnl
Which Samples Should be Learned First: Easy or Hard?
CoRR
Xiaoling Zhou, Ou Wu
2020 J jnl
AI Marker-based Large-scale AI Literature Mining.
CoRR
Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu
2020 J jnl
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression.
IEEE Trans. Knowl. Data Eng.
Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, Stephen J. Maybank
2020 — conf
Inter-subdiscipline Analysis Based on Mathematical Statements.
JCDL
Rui Wang, Xiaoling Zhou, Jian Wu, Ou Wu
2020 J jnl
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR
Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao
2020 J jnl
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification.
Knowl. Based Syst.
Pinlong Zhao, Linlin Hou, Ou Wu
2020 J jnl
Sentiment analysis via dually-born-again network and sample selection.
Intell. Data Anal.
Pinlong Zhao, Zefeng Han, Qing Yin, Shuxiao Li, Ou Wu
2019 J jnl
Deep Human Answer Understanding for Natural Reverse QA.
CoRR
Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou Wu
2019 J jnl
Method and Dataset Mining in Scientific Papers.
CoRR
Rujing Yao, Linlin Hou, Yingchun Ye, Ou Wu, Ji Zhang, Jian Wu
2019 J jnl
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification.
CoRR
Pinlong Zhao, Linlin Hou, Ou Wu
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
2018 J jnl
Classifier Ensemble by Exploring Supplementary Ordering Information.
IEEE Trans. Knowl. Data Eng.
Ou Wu
2018 J jnl
Detecting Adversarial Examples via Key-based Network.
CoRR
Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang
2018 J jnl
Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking.
ACM Trans. Intell. Syst. Technol.
Ou Wu, Xue Mao, Weiming Hu
2018 J jnl
Screenshot-based color compatibility assessment and transfer for Web pages.
Multim. Tools Appl.
Ou Wu, Mengqiao Han
2018 J jnl
ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis.
CoRR
Ou Wu, Tao Yang, Mengyang Li, Ming Li
2017 J jnl
Learning With Auxiliary Less-Noisy Labels.
IEEE Trans. Neural Networks Learn. Syst.
Yunyan Duan, Ou Wu
2017 — conf
Unsupervised Automatic Text Style Transfer Using LSTM.
NLPCC
Mengqiao Han, Ou Wu, Zhendong Niu
2016 — conf
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks.
MLDM
Qiang You, Ou Wu, Guan Luo, Weiming Hu
2016 — conf
Deep learning-based learning to rank with ties for image re-ranking.
DSP
Pinlong Zhao, Ou Wu, Liyuan Guo, Weiming Hu, Jinfeng Yang
2016 B conf
Fast kernel SVM training via support vector identification.
ICPR
Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu
2016 J jnl
Listwise Learning to Rank by Exploring Structure of Objects.
IEEE Trans. Knowl. Data Eng.
Ou Wu, Qiang You, Xue Mao, Fen Xia, Fei Yuan, Weiming Hu
2016 J jnl
Listwise Learning to Rank from Crowds.
ACM Trans. Knowl. Discov. Data
Ou Wu, Qiang You, Fen Xia, Lei Ma, Weiming Hu
2016 — conf
Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities.
MLDM
Qiang You, Ou Wu, Guan Luo, Weiming Hu
2016 J jnl
Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning.
IEEE Trans. Multim.
Ou Wu, Haiqiang Zuo, Weiming Hu, Bing Li
2015 J jnl
Horror Image Recognition Based on Context-Aware Multi-Instance Learning.
IEEE Trans. Image Process.
Bing Li, Weihua Xiong, Ou Wu, Weiming Hu, Stephen J. Maybank, Shuicheng Yan
2015 — conf
Influence Maximization in Human-Intervened Social Networks.
SocInf@IJCAI
Qiang You, Weiming Hu, Ou Wu
2015 A* conf
Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning.
IJCAI
Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu
2014 — conf
A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities.
PAKDD Workshops
Qiang You, Weiming Hu, Ou Wu, Haiqiang Zuo
2014 A conf
Learning from Multi-User Multi-Attribute Annotations.
SDM
Ou Wu, Shuxiao Li, Honghui Dong, Ying Chen, Weiming Hu
2014 A conf
Nonlinear Classification via Linear SVMs and Multi-Task Learning.
CIKM
Xue Mao, Ou Wu, Weiming Hu, Peter O'Donovan
2014 J jnl
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection.
IEEE Trans. Cybern.
Weiming Hu, Jun Gao, Yanguo Wang, Ou Wu, Stephen J. Maybank
2014 A* conf
Quality-Based Learning for Web Data Classification.
AAAI
Ou Wu, Ruiguang Hu, Xue Mao, Weiming Hu
2014 — conf
Visual feature-based violent video detection.
CCIS
Xin Ji, Ou Wu, Chenlong Wang, Jinfeng Yang
2014 J jnl
Visual object tracking using spatial Context Information and Global tracking skills.
Comput. Vis. Image Underst.
Shuxiao Li, Ou Wu, Chengfei Zhu, Hongxing Chang
2013 — conf
Label Ranking by Directly Optimizing Performance Measures.
AAAI (Late-Breaking Developments)
Qishen Wang, Ou Wu, Ying Chen, Weiming Hu
2013 J jnl
Measuring the Visual Complexities of Web Pages.
ACM Trans. Web
Ou Wu, Weiming Hu, Lei Shi
2013 — conf
Multi-Modal Multiple-Instance Learning and Attribute Discovery with the Application to the Web Violent Video Detection.
IScIDE
Shuai Hao, Ou Wu, Weiming Hu, Jinfeng Yang
2013 — conf
Video retrieval based on a new distance of histograms.
FSKD
Ying Chen, Ou Wu
2012 J jnl
Color Assessment and Transfer for Web Pages
CoRR
Ou Wu
2012 — conf
Contextual Hausdorff dissimilarity for multi-instance clustering.
FSKD
Ying Chen, Ou Wu
2012 J jnl
Efficient Clustering Aggregation Based on Data Fragments.
IEEE Trans. Syst. Man Cybern. Part B
Ou Wu, Weiming Hu, Stephen J. Maybank, Mingliang Zhu, Bing Li
2012 — conf
Multi-modal Based Violent Movies Detection in Video Sharing Sites.
IScIDE
Xingyu Zou, Ou Wu, Qishen Wang, Weiming Hu, Jinfeng Yang
2012 — conf
Unsupervised Ensemble Learning for Mining Top-n Outliers.
PAKDD (1)
Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu
2011 A* conf
Evaluating combinational color constancy methods on real-world images.
CVPR
Bing Li, Weihua Xiong, Weiming Hu, Ou Wu
2011 A conf
Evaluating the visual quality of web pages using a computational aesthetic approach.
WSDM
Ou Wu, Yunfei Chen, Bing Li, Weiming Hu
2011 Misc conf
Horror video scene recognition via Multiple-Instance learning.
ICASSP
Jianchao Wang, Bing Li, Weiming Hu, Ou Wu
2011 A* conf
Learning to Rank under Multiple Annotators.
IJCAI
Ou Wu, Weiming Hu, Jun Gao
2011 A* conf
Learning to predict the perceived visual quality of photos.
ICCV
Ou Wu, Weiming Hu, Jun Gao
2011 — conf
Motion video retrieval based on optical flow and Haar wavelet.
FSKD
Ying Chen, Ou Wu
2011 — conf
RKOF: Robust Kernel-Based Local Outlier Detection.
PAKDD (2)
Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu
2011 — conf
Ranking social emotions by learning listwise preference.
ACPR
Qishen Wang, Ou Wu, Weiming Hu, Jinfeng Yang, Wanqing Li
2011 J jnl
Recognition of adult images, videos, and web page bags.
ACM Trans. Multim. Comput. Commun. Appl.
Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter
2011 — conf
Robust object tracking with boosted discriminative model via graph embedding.
ICCV Workshops
Wei Li, Xiaoqin Zhang, Wenhan Luo, Weiming Hu, Haibin Ling, Ou Wu
2010 A conf
Group ranking with application to image retrieval.
CIKM
Ou Wu, Weiming Hu, Bing Li
2010 — conf
Horror Image Recognition Based on Emotional Attention.
ACCV (2)
Bing Li, Weiming Hu, Weihua Xiong, Ou Wu, Wei Li
2010 B conf
Horror movie scene recognition based on emotional perception.
ICIP
Jianchao Wang, Bing Li, Weiming Hu, Ou Wu
2010 A conf
Identifying Multi-instance Outliers.
SDM
Ou Wu, Jun Gao, Weiming Hu, Bing Li, Mingliang Zhu
2010 A* conf
Learning to evaluate the visual quality of web pages.
WWW
Ou Wu, Yunfei Chen, Bing Li, Weiming Hu
2010 B conf
Local Outlier Detection Based on Kernel Regression.
ICPR
Jun Gao, Weiming Hu, Wei Li, Zhongfei (Mark) Zhang, Ou Wu
2010 A* conf
Patch-based skin color detection and its application to pornography image filtering.
WWW
Haiqiang Zuo, Weiming Hu, Ou Wu
2010 — conf
Semi-automated feature selection for web text filtering.
FSKD
Ying Chen, Ou Wu
2010 — conf
Topic Detection for Discussion Threads with Domain Knowledge.
Web Intelligence
Mingliang Zhu, Weiming Hu, Ou Wu
2009 A* conf
Detecting image spam using local invariant features and pyramid match kernel.
WWW
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan Luo
2009 A conf
Fragment-based clustering ensembles.
CIKM
Ou Wu, Mingliang Zhu, Weiming Hu
2009 Misc conf
Image spam filtering using Fourier-Mellin invariant features.
ICASSP
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
2009 — conf
Rank Aggregation Based Text Feature Selection.
Web Intelligence
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Jun Gao, Hanzi Wang
2008 A conf
Recognition of blue movies by fusion of audio and video.
ICME
Haiqiang Zuo, Ou Wu, Weiming Hu, Bo Xu
2008 — conf
Recognizing and Filtering Web Images Based on People's Existence.
Web Intelligence
Ou Wu, Haiqiang Zuo, Weiming Hu, Mingliang Zhu, Shuxiao Li
2008 — conf
Topic Detection and Tracking for Threaded Discussion Communities.
Web Intelligence
Mingliang Zhu, Weiming Hu, Ou Wu
2008 A* conf
User oriented link function classification.
WWW
Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Zhang
2007 — conf
Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning.
Web Intelligence
Mingliang Zhu, Weiming Hu, Xi Li, Ou Wu
2007 J jnl
Recognition of Pornographic Web Pages by Classifying Texts and Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, Stephen J. Maybank
2006 — conf
A Novel Web Page Filtering System by Combining Texts and Images.
Web Intelligence
Zhouyao Chen, Ou Wu, Mingliang Zhu, Weiming Hu