A Novel Web Page Filtering System by Combining Texts and Images. - Zhouyao Chen; Ou Wu 001; Mingliang Zhu; Weiming Hu (Web Intelligence, 2006)

Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning. - Mingliang Zhu; Weiming Hu 004; Xi Li 001; Ou Wu 001 (Web Intelligence, 2007)

Recognition of Pornographic Web Pages by Classifying Texts and Images. - Weiming Hu 004; Ou Wu 001; Zhouyao Chen; Zhouyu Fu; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Recognition of blue movies by fusion of audio and video. - Haiqiang Zuo; Ou Wu 001; Weiming Hu; Bo Xu (ICME, 2008)

Recognizing and Filtering Web Images Based on People's Existence. - Ou Wu 001; Haiqiang Zuo; Weiming Hu 004; Mingliang Zhu; Shuxiao Li (Web Intelligence, 2008)

Topic Detection and Tracking for Threaded Discussion Communities. - Mingliang Zhu; Weiming Hu; Ou Wu 001 (Web Intelligence, 2008)

User oriented link function classification. - Mingliang Zhu; Weiming Hu 004; Ou Wu 001; Xi Li 001; Xiaoqin Zhang 002 (WWW, 2008)

Fragment-based clustering ensembles. - Ou Wu 001; Mingliang Zhu; Weiming Hu (CIKM, 2009)

Image spam filtering using Fourier-Mellin invariant features. - Haiqiang Zuo; Xi Li 001; Ou Wu 001; Weiming Hu 004; Guan Luo (ICASSP, 2009)

Rank Aggregation Based Text Feature Selection. - Ou Wu 001; Haiqiang Zuo; Mingliang Zhu; Weiming Hu 004; Jun Gao; Hanzi Wang (Web Intelligence, 2009)

Detecting image spam using local invariant features and pyramid match kernel. - Haiqiang Zuo; Weiming Hu 004; Ou Wu 001; Yunfei Chen 002; Guan Luo (WWW, 2009)

Horror Image Recognition Based on Emotional Attention. - Bing Li 001; Weiming Hu 004; Weihua Xiong; Ou Wu 001; Wei Li 034 (ACCV (2), 2010)

Group ranking with application to image retrieval. - Ou Wu 001; Weiming Hu 004; Bing Li 001 (CIKM, 2010)

Semi-automated feature selection for web text filtering. - Ying Chen 018; Ou Wu 001 (FSKD, 2010)

Horror movie scene recognition based on emotional perception. - Jianchao Wang; Bing Li 001; Weiming Hu 004; Ou Wu 001 (ICIP, 2010)

Local Outlier Detection Based on Kernel Regression. - Jun Gao; Weiming Hu 004; Wei Li 034; Zhongfei (Mark) Zhang; Ou Wu 001 (ICPR, 2010)

Identifying Multi-instance Outliers. - Ou Wu 001; Jun Gao; Weiming Hu 004; Bing Li 001; Mingliang Zhu (SDM, 2010)

Topic Detection for Discussion Threads with Domain Knowledge. - Mingliang Zhu; Weiming Hu; Ou Wu 001 (Web Intelligence, 2010)

Learning to evaluate the visual quality of web pages. - Ou Wu 001; Yunfei Chen 002; Bing Li 001; Weiming Hu 004 (WWW, 2010)

Patch-based skin color detection and its application to pornography image filtering. - Haiqiang Zuo; Weiming Hu; Ou Wu 001 (WWW, 2010)

Ranking social emotions by learning listwise preference. - Qishen Wang; Ou Wu 001; Weiming Hu 004; Jinfeng Yang; Wanqing Li 001 (ACPR, 2011)

Evaluating combinational color constancy methods on real-world images. - Bing Li 001; Weihua Xiong; Weiming Hu 004; Ou Wu 001 (CVPR, 2011)

Motion video retrieval based on optical flow and Haar wavelet. - Ying Chen 018; Ou Wu 001 (FSKD, 2011)

Horror video scene recognition via Multiple-Instance learning. - Jianchao Wang; Bing Li 001; Weiming Hu 004; Ou Wu 001 (ICASSP, 2011)

Learning to predict the perceived visual quality of photos. - Ou Wu 001; Weiming Hu; Jun Gao (ICCV, 2011)

Robust object tracking with boosted discriminative model via graph embedding. - Wei Li 034; Xiaoqin Zhang 002; Wenhan Luo; Weiming Hu 004; Haibin Ling; Ou Wu 001 (ICCV Workshops, 2011)

Learning to Rank under Multiple Annotators. - Ou Wu 001; Weiming Hu; Jun Gao (IJCAI, 2011)

RKOF: Robust Kernel-Based Local Outlier Detection. - Jun Gao; Weiming Hu 004; Zhongfei (Mark) Zhang; Xiaoqin Zhang 002; Ou Wu 001 (PAKDD (2), 2011)

Evaluating the visual quality of web pages using a computational aesthetic approach. - Ou Wu 001; Yunfei Chen 002; Bing Li 001; Weiming Hu 004 (WSDM, 2011)

Recognition of adult images, videos, and web page bags. - Weiming Hu 004; Haiqiang Zuo; Ou Wu 001; Yunfei Chen 002; Zhongfei Zhang; David Suter (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Contextual Hausdorff dissimilarity for multi-instance clustering. - Ying Chen 018; Ou Wu 001 (FSKD, 2012)

Multi-modal Based Violent Movies Detection in Video Sharing Sites. - Xingyu Zou; Ou Wu 001; Qishen Wang; Weiming Hu; Jinfeng Yang (IScIDE, 2012)

Unsupervised Ensemble Learning for Mining Top-n Outliers. - Jun Gao; Weiming Hu 004; Zhongfei (Mark) Zhang; Ou Wu 001 (PAKDD (1), 2012)

Color Assessment and Transfer for Web Pages - Ou Wu 001 (CoRR, 2012)

Efficient Clustering Aggregation Based on Data Fragments. - Ou Wu 001; Weiming Hu 004; Stephen J. Maybank; Mingliang Zhu; Bing Li 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Label Ranking by Directly Optimizing Performance Measures. - Qishen Wang; Ou Wu 001; Ying Chen 018; Weiming Hu 004 (AAAI (Late-Breaking Developments), 2013)

Video retrieval based on a new distance of histograms. - Ying Chen 018; Ou Wu 001 (FSKD, 2013)

Multi-Modal Multiple-Instance Learning and Attribute Discovery with the Application to the Web Violent Video Detection. - Shuai Hao; Ou Wu 001; Weiming Hu; Jinfeng Yang (IScIDE, 2013)

Measuring the Visual Complexities of Web Pages. - Ou Wu 001; Weiming Hu; Lei Shi (ACM Trans. Web, 2013)

Quality-Based Learning for Web Data Classification. - Ou Wu 001; Ruiguang Hu; Xue Mao; Weiming Hu (AAAI, 2014)

Visual feature-based violent video detection. - Xin Ji; Ou Wu 001; Chenlong Wang; Jinfeng Yang (CCIS, 2014)

Nonlinear Classification via Linear SVMs and Multi-Task Learning. - Xue Mao; Ou Wu 001; Weiming Hu; Peter O'Donovan (CIKM, 2014)

A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities. - Qiang You; Weiming Hu; Ou Wu 001; Haiqiang Zuo (PAKDD Workshops, 2014)

Learning from Multi-User Multi-Attribute Annotations. - Ou Wu 001; Shuxiao Li; Honghui Dong; Ying Chen 018; Weiming Hu 004 (SDM, 2014)

Visual object tracking using spatial Context Information and Global tracking skills. - Shuxiao Li; Ou Wu 001; Chengfei Zhu; Hongxing Chang (Comput. Vis. Image Underst., 2014)

Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection. - Weiming Hu 004; Jun Gao; Yanguo Wang; Ou Wu 001; Stephen J. Maybank (IEEE Trans. Cybern., 2014)

Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning. - Xue Mao; Zhouyu Fu; Ou Wu 001; Weiming Hu (IJCAI, 2015)

Influence Maximization in Human-Intervened Social Networks. - Qiang You; Weiming Hu; Ou Wu 001 (SocInf@IJCAI, 2015)

Horror Image Recognition Based on Context-Aware Multi-Instance Learning. - Bing Li 001; Weihua Xiong; Ou Wu 001; Weiming Hu 004; Stephen J. Maybank; Shuicheng Yan (IEEE Trans. Image Process., 2015)

Deep learning-based learning to rank with ties for image re-ranking. - Piplong Zhao; Ou Wu 001; Liyuan Guo; Weiming Hu; Jinfeng Yang (DSP, 2016)

Fast kernel SVM training via support vector identification. - Xue Mao; Zhouyu Fu; Ou Wu 001; Weiming Hu (ICPR, 2016)

A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks. - Qiang You; Ou Wu 001; Guan Luo; Weiming Hu 004 (MLDM, 2016)

Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities. - Qiang You; Ou Wu 001; Guan Luo; Weiming Hu 004 (MLDM, 2016)

Listwise Learning to Rank from Crowds. - Ou Wu 001; Qiang You; Fen Xia; Lei Ma; Weiming Hu (ACM Trans. Knowl. Discov. Data, 2016)

Listwise Learning to Rank by Exploring Structure of Objects. - Ou Wu 001; Qiang You; Xue Mao; Fen Xia; Fei Yuan 003; Weiming Hu (IEEE Trans. Knowl. Data Eng., 2016)

Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning. - Ou Wu 001; Haiqiang Zuo; Weiming Hu 004; Bing Li 001 (IEEE Trans. Multim., 2016)

Unsupervised Automatic Text Style Transfer Using LSTM. - Mengqiao Han; Ou Wu 001; Zhendong Niu (NLPCC, 2017)

Learning With Auxiliary Less-Noisy Labels. - Yunyan Duan; Ou Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis. - Ou Wu 001; Tao Yang; Mengyang Li; Ming Li (CoRR, 2018)

Detecting Adversarial Examples via Key-based Network. - Pinlong Zhao; Zhouyu Fu; Ou Wu 001; Qinghua Hu; Jun Wang (CoRR, 2018)

Screenshot-based color compatibility assessment and transfer for Web pages. - Ou Wu 001; Mengqiao Han (Multim. Tools Appl., 2018)

Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking. - Ou Wu 001; Xue Mao; Weiming Hu (ACM Trans. Intell. Syst. Technol., 2018)

Classifier Ensemble by Exploring Supplementary Ordering Information. - Ou Wu 001 (IEEE Trans. Knowl. Data Eng., 2018)

Semi-interactive Attention Network for Answer Understanding in Reverse-QA. - Qing Yin; Guan Luo; Xiaodong Zhu; Qinghua Hu; Ou Wu 001 (PAKDD (2), 2019)

Method and Dataset Mining in Scientific Papers. - Rujing Yao; Linlin Hou; Yingchun Ye; Ou Wu 001; Ji Zhang 001; Jian Wu (CoRR, 2019)

Deep Human Answer Understanding for Natural Reverse QA. - Rujing Yao; Linlin Hou; Lei Yang; Jie Gui; Qing Yin; Ou Wu 001 (CoRR, 2019)

Inter-subdiscipline Analysis Based on Mathematical Statements. - Rui Wang; Xiaoling Zhou; Jian Wu 006; Ou Wu 001 (JCDL, 2020)

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu 001; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (CoRR, 2020)

AI Marker-based Large-scale AI Literature Mining. - Rujing Yao; Yingchun Ye; Ji Zhang 001; Shuxiao Li; Ou Wu 001 (CoRR, 2020)

Sentiment analysis via dually-born-again network and sample selection. - Pinlong Zhao; Zefeng Han; Qing Yin; Shuxiao Li; Ou Wu 001 (Intell. Data Anal., 2020)

Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification. - Pinlong Zhao; Linlin Hou; Ou Wu 001 (Knowl. Based Syst., 2020)

Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression. - Weiming Hu 004; Jun Gao; Bing Li 001; Ou Wu 001; Junping Du 001; Stephen J. Maybank (IEEE Trans. Knowl. Data Eng., 2020)

Drop "Noise" Edge: An Approximation of the Bayesian GNNs. - Xiaoling Zhou; Ou Wu 001 (ACPR (2), 2021)

College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. - Qiang Tian; Rui Wang; Shijie Li; Wenjun Wang 002; Ou Wu 001; Faming Li; Pengfei Jiao (Complex., 2021)

Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. - Alan J. X. Guo; Qing-Hu Hou; Ou Wu 001 (CoRR, 2021)

Compensation Learning. - Rujing Yao; Mengyang Li; Ou Wu 001 (CoRR, 2021)

Mitigating sentimental bias via a polar attention mechanism. - Tao Yang 033; Rujing Yao; Qing Yin; Qiang Tian; Ou Wu 001 (Int. J. Data Sci. Anal., 2021)

Logit Perturbation. - Mengyang Li; Fengguang Su; Ou Wu 001; Ji Zhang 001 (AAAI, 2022)

Tackling the Imbalance for GNNs. - Rui Wang; Weixuan Xiong; Qing-Hu Hou; Ou Wu 001 (IJCNN, 2022)

Submodular Meta Data Compiling for Meta Optimization. - Fengguang Su; Yu Zhu; Ou Wu 001; Yingjun Deng (ECML/PKDD (3), 2022)

Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure. - Xiaoling Zhou; Ou Wu 001; Weiyao Zhu; Ziyang Liang (ECML/PKDD (3), 2022)

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu 001; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (Knowl. Based Syst., 2022)

Deep human answer understanding for natural reverse QA. - Rujing Yao; Linlin Hou; Lei Yang; Jie Gui; Ou Wu 001 (Knowl. Based Syst., 2022)

Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions. - Xiaoling Zhou; Ou Wu 001; Chao Jiang (Knowl. Based Syst., 2022)

Elementary discourse units with sparse attention for multi-label emotion classification. - Yu Zhu; Ou Wu 001 (Knowl. Based Syst., 2022)

Aspect-Based Sentiment Analysis with New Target Representation and Dependency Attention. - Tao Yang 033; Qing Yin; Lei Yang; Ou Wu 001 (IEEE Trans. Affect. Comput., 2022)

Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping. - Ou Wu 001; Tao Yang 033; Mengyang Li; Ming Li (IEEE Trans. Cybern., 2022)

Combining Adversaries with Anti-adversaries in Training. - Xiaoling Zhou; Nan Yang; Ou Wu 001 (AAAI, 2023)

Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. - Zhen Wang; Ting Jiang; Zenghui Xu; Jianliang Gao; Ou Wu 001; Ke Yan 001; Ji Zhang (ECML/PKDD (5), 2023)

Implicit Counterfactual Data Augmentation for Deep Neural Networks. - Xiaoling Zhou; Ou Wu 001 (CoRR, 2023)

Rethinking Class Imbalance in Machine Learning. - Ou Wu 001 (CoRR, 2023)

SARW: Similarity-Aware Random Walk for GCN. - Linlin Hou; Haixiang Zhang; Qing-Hu Hou; Alan J. X. Guo; Ou Wu 001; Ting Yu; Ji Zhang (Intell. Data Anal., 2023)

Exploring developments of the AI field from the perspective of methods, datasets, and metrics. - Rujing Yao; Yingchun Ye; Ji Zhang 001; Shuxiao Li; Ou Wu 001 (Inf. Process. Manag., 2023)

Investigating annotation noise for named entity recognition. - Yu Zhu; Yingchun Ye; Mengyang Li; Ji Zhang; Ou Wu 001 (Neural Comput. Appl., 2023)

Data Valuation by Leveraging Global and Local Statistical Information. - Xiaoling Zhou; Ou Wu 001; Michael K. Ng 001; Hao Jiang 009 (CoRR, 2024)

Is Data Valuation Learnable and Interpretable? - Ou Wu 001; Weiyao Zhu; Mengyang Li (CoRR, 2024)

IRDA: Implicit data augmentation for deep imbalanced regression. - Weiyao Zhu; Ou Wu 001; Nan Yang (Inf. Sci., 2024)

Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies. - Rui Wang; Shijie Li; Qing Yin; Ji Zhang; Rujing Yao; Ou Wu 001 (J. Inf. Sci., 2024)

Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting. - Fengguang Su; Ou Wu 001; Weiyao Zhu (IEEE Trans. Image Process., 2024)

Revisiting the Effective Number Theory for Imbalanced Learning. - Ou Wu 001; Mengyang Li (IEEE Trans. Knowl. Data Eng., 2024)

Exploring the Learning Difficulty of Data: Theory and Measure. - Weiyao Zhu; Ou Wu 001; Fengguang Su; Yingjun Deng (ACM Trans. Knowl. Discov. Data, 2024)

Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. - Xiaoling Zhou; Ou Wu 001; Mengyang Li (IEEE Trans. Knowl. Data Eng., 2024)

A Taxonomy for Learning with Perturbation and Algorithms. - Rujing Yao; Ou Wu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Class-Level Logit Perturbation. - Mengyang Li; Fengguang Su; Ou Wu 001; Ji Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Which Samples Should Be Learned First: Easy or Hard? - Xiaoling Zhou; Ou Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adversarial Training With Anti-Adversaries. - Xiaoling Zhou; Ou Wu 001; Nan Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning. - Xiaoling Zhou; Ou Wu 001; Nan Yang (AAAI, 2025)

Toward learnable and interpretable data Shapley valuation for deep learning. - Mengyang Li; Weiyao Zhu; Ou Wu 001 (Knowl. Based Syst., 2025)

Data Poisoning in Deep Learning: A Survey. - Pinlong Zhao; Weiyao Zhu; Pengfei Jiao; Di Gao; Ou Wu 001 (CoRR, 2025)

Subclass-wise Logit Perturbation for Multi-label Learning. - Yu Zhu; Ou Wu 001; Fengguang Su (ACM Trans. Knowl. Discov. Data, 2025)

Data Optimization in Deep Learning: A Survey. - Ou Wu 001; Rujing Yao (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition. - Rujing Yao; Ou Wu 001; Fang Wang (Int. J. Mach. Learn. Cybern., 2025)