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ORCIDOu Wu 0001
Person information
- affiliation: University of Chinese Academy of Sciences, School of Intelligent Science and Technology, Hangzhou Institute of Advanced Studies, Hangzhou, China
- affiliation: Tianjin University, Center for Applied Mathematics, Tianjin, China
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition (NLPR), Beijing, China
Other persons with the same name
- Ou Wu — disambiguation page
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2020 – today
- 2025
[j43]Mengyang Li
, Weiyao Zhu, Ou Wu:
Toward learnable and interpretable data Shapley valuation for deep learning. Knowl. Based Syst. 325: 114002 (2025)- [j42]Rujing Yao, Ou Wu, Fang Wang:
Rethinking learning difficulty and uncertainty of samples with a target perturbation-aware bias-variance decomposition. Int. J. Mach. Learn. Cybern. 16(7-8): 4711-4726 (2025) - [j41]Mengyang Li, Xiaoling Zhou, Ou Wu:
Delving Into the Training Dynamics for Image Classification. IEEE Trans. Image Process. 34: 6783-6798 (2025) - [j40]Yu Zhu, Ou Wu, Fengguang Su:
Subclass-wise Logit Perturbation for Multi-label Learning. ACM Trans. Knowl. Discov. Data 19(3): 74:1-74:40 (2025) - [j39]Ou Wu, Rujing Yao:
Data Optimization in Deep Learning: A Survey. IEEE Trans. Knowl. Data Eng. 37(5): 2356-2375 (2025) - [c56]Xiaoling Zhou, Ou Wu, Nan Yang:
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning. AAAI 2025: 22991-22999 - [i23]Pinlong Zhao, Weiyao Zhu, Pengfei Jiao, Di Gao, Ou Wu:
Data Poisoning in Deep Learning: A Survey. CoRR abs/2503.22759 (2025) - 2024
- [j38]Weiyao Zhu, Ou Wu, Nan Yang:
IRDA: Implicit data augmentation for deep imbalanced regression. Inf. Sci. 677: 120873 (2024) - [j37]Rui Wang, Shijie Li, Qing Yin, Ji Zhang, Rujing Yao, Ou Wu:
Improved PageRank and New Indices for Academic Impact Evaluation Using AI Papers as Case Studies. J. Inf. Sci. 50(3): 690-702 (2024) - [j36]Xiaoling Zhou, Ou Wu, Nan Yang:
Adversarial Training With Anti-Adversaries. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10210-10227 (2024) - [j35]Fengguang Su, Ou Wu, Weiyao Zhu:
Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting. IEEE Trans. Image Process. 33: 3809-3822 (2024) - [j34]Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng:
Exploring the Learning Difficulty of Data: Theory and Measure. ACM Trans. Knowl. Discov. Data 18(4): 84:1-84:37 (2024) - [j33]Rujing Yao, Ou Wu:
A Taxonomy for Learning with Perturbation and Algorithms. ACM Trans. Knowl. Discov. Data 18(5): 129:1-129:38 (2024) - [j32]Xiaoling Zhou, Ou Wu, Mengyang Li:
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. IEEE Trans. Knowl. Data Eng. 36(5): 2041-2055 (2024) - [j31]Ou Wu, Mengyang Li:
Revisiting the Effective Number Theory for Imbalanced Learning. IEEE Trans. Knowl. Data Eng. 36(8): 4192-4206 (2024) - [j30]Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Class-Level Logit Perturbation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13926-13940 (2024) - [j29]Xiaoling Zhou, Ou Wu:
Which Samples Should Be Learned First: Easy or Hard? IEEE Trans. Neural Networks Learn. Syst. 35(11): 15264-15278 (2024) - [i22]Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang:
Data Valuation by Leveraging Global and Local Statistical Information. CoRR abs/2405.17464 (2024) - [i21]Ou Wu, Weiyao Zhu, Mengyang Li:
Is Data Valuation Learnable and Interpretable? CoRR abs/2406.02612 (2024) - 2023
- [j28]Linlin Hou, Haixiang Zhang, Qing-Hu Hou, Alan J. X. Guo, Ou Wu, Ting Yu, Ji Zhang:
SARW: Similarity-Aware Random Walk for GCN. Intell. Data Anal. 27(6): 1615-1636 (2023) - [j27]Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
Exploring developments of the AI field from the perspective of methods, datasets, and metrics. Inf. Process. Manag. 60(2): 103157 (2023) - [j26]Yu Zhu, Yingchun Ye, Mengyang Li, Ji Zhang, Ou Wu:
Investigating annotation noise for named entity recognition. Neural Comput. Appl. 35(1): 993-1007 (2023) - [c55]Xiaoling Zhou, Nan Yang, Ou Wu:
Combining Adversaries with Anti-adversaries in Training. AAAI 2023: 11435-11442 - [c54]Zhen Wang, Ting Jiang, Zenghui Xu, Jianliang Gao, Ou Wu, Ke Yan, Ji Zhang:
Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series. ECML/PKDD (5) 2023: 238-254 - [i20]Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang:
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure. CoRR abs/2301.04850 (2023) - [i19]Xiaoling Zhou, Nan Yang, Ou Wu:
Combining Adversaries with Anti-adversaries in Training. CoRR abs/2304.12550 (2023) - [i18]Xiaoling Zhou, Ou Wu:
Implicit Counterfactual Data Augmentation for Deep Neural Networks. CoRR abs/2304.13431 (2023) - [i17]Ou Wu:
Rethinking Class Imbalance in Machine Learning. CoRR abs/2305.03900 (2023) - [i16]Ou Wu, Rujing Yao:
Data Optimization in Deep Learning: A Survey. CoRR abs/2310.16499 (2023) - 2022
- [j25]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowl. Based Syst. 235: 107621 (2022) - [j24]Yu Zhu, Ou Wu:
Elementary discourse units with sparse attention for multi-label emotion classification. Knowl. Based Syst. 240: 108114 (2022) - [j23]Xiaoling Zhou, Ou Wu, Chao Jiang:
Increasing naturalness of human-machine dialogue: The users' choices inference of options in machine-raised questions. Knowl. Based Syst. 243: 108485 (2022) - [j22]Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Ou Wu:
Deep human answer understanding for natural reverse QA. Knowl. Based Syst. 254: 109625 (2022) - [j21]Tao Yang, Qing Yin, Lei Yang, Ou Wu:
Aspect-Based Sentiment Analysis with New Target Representation and Dependency Attention. IEEE Trans. Affect. Comput. 13(2): 640-650 (2022) - [j20]Ou Wu, Tao Yang, Mengyang Li, Ming Li:
Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping. IEEE Trans. Cybern. 52(5): 3867-3879 (2022) - [c53]Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Logit Perturbation. AAAI 2022: 1359-1366 - [c52]Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu:
Tackling the Imbalance for GNNs. IJCNN 2022: 1-8 - [c51]Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang:
Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure. ECML/PKDD (3) 2022: 68-84 - [c50]Fengguang Su, Yu Zhu, Ou Wu, Yingjun Deng:
Submodular Meta Data Compiling for Meta Optimization. ECML/PKDD (3) 2022: 493-511 - [i15]Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng:
Exploring the Learning Difficulty of Data Theory and Measure. CoRR abs/2205.07427 (2022) - [i14]Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Class-Level Logit Perturbation. CoRR abs/2209.05668 (2022) - 2021
- [j19]Qiang Tian, Rui Wang, Shijie Li, Wenjun Wang, Ou Wu, Faming Li, Pengfei Jiao:
College Students' Psychological Health Analysis Based on Multitask Gaussian Graphical Models. Complex. 2021: 5710459:1-5710459:17 (2021) - [j18]Tao Yang, Rujing Yao, Qing Yin, Qiang Tian, Ou Wu:
Mitigating sentimental bias via a polar attention mechanism. Int. J. Data Sci. Anal. 11(1): 27-36 (2021) - [c49]Xiaoling Zhou, Ou Wu:
Drop "Noise" Edge: An Approximation of the Bayesian GNNs. ACPR (2) 2021: 59-72 - [i13]Alan J. X. Guo, Qing-Hu Hou, Ou Wu:
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. CoRR abs/2104.01848 (2021) - [i12]Rujing Yao, Mengyang Li, Ou Wu:
Compensation Learning. CoRR abs/2107.11921 (2021) - [i11]Xiaoling Zhou, Ou Wu:
Which Samples Should be Learned First: Easy or Hard? CoRR abs/2110.05481 (2021) - [i10]Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu:
Tackling the Imbalance for GNNs. CoRR abs/2110.08690 (2021) - 2020
- [j17]Pinlong Zhao, Zefeng Han, Qing Yin, Shuxiao Li, Ou Wu:
Sentiment analysis via dually-born-again network and sample selection. Intell. Data Anal. 24(6): 1257-1271 (2020) - [j16]Pinlong Zhao, Linlin Hou, Ou Wu:
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification. Knowl. Based Syst. 193: 105443 (2020) - [j15]Weiming Hu, Jun Gao, Bing Li, Ou Wu, Junping Du, Stephen J. Maybank:
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression. IEEE Trans. Knowl. Data Eng. 32(2): 218-233 (2020) - [c48]Rui Wang, Xiaoling Zhou, Jian Wu, Ou Wu:
Inter-subdiscipline Analysis Based on Mathematical Statements. JCDL 2020: 483-484 - [i9]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020) - [i8]Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
AI Marker-based Large-scale AI Literature Mining. CoRR abs/2011.00518 (2020)
2010 – 2019
- 2019
- [c47]Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. PAKDD (2) 2019: 3-15 - [i7]Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. CoRR abs/1901.03788 (2019) - [i6]Pinlong Zhao, Linlin Hou, Ou Wu:
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification. CoRR abs/1906.04501 (2019) - [i5]Rujing Yao, Linlin Hou, Yingchun Ye, Ou Wu, Ji Zhang, Jian Wu:
Method and Dataset Mining in Scientific Papers. CoRR abs/1911.13096 (2019) - [i4]Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou Wu:
Deep Human Answer Understanding for Natural Reverse QA. CoRR abs/1912.00398 (2019) - 2018
- [j14]Ou Wu, Mengqiao Han:
Screenshot-based color compatibility assessment and transfer for Web pages. Multim. Tools Appl. 77(6): 6671-6698 (2018) - [j13]Ou Wu, Xue Mao, Weiming Hu:
Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking. ACM Trans. Intell. Syst. Technol. 9(2): 18:1-18:26 (2018) - [j12]Ou Wu:
Classifier Ensemble by Exploring Supplementary Ordering Information. IEEE Trans. Knowl. Data Eng. 30(11): 2065-2077 (2018) - [i3]Ou Wu, Tao Yang, Mengyang Li, Ming Li:
ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis. CoRR abs/1803.07771 (2018) - [i2]Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang:
Detecting Adversarial Examples via Key-based Network. CoRR abs/1806.00580 (2018) - 2017
- [j11]Yunyan Duan, Ou Wu:
Learning With Auxiliary Less-Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1716-1721 (2017) - [c46]Mengqiao Han, Ou Wu, Zhendong Niu:
Unsupervised Automatic Text Style Transfer Using LSTM. NLPCC 2017: 281-292 - 2016
- [j10]Ou Wu, Qiang You, Fen Xia, Lei Ma, Weiming Hu:
Listwise Learning to Rank from Crowds. ACM Trans. Knowl. Discov. Data 11(1): 4:1-4:39 (2016) - [j9]Ou Wu, Qiang You, Xue Mao, Fen Xia, Fei Yuan, Weiming Hu:
Listwise Learning to Rank by Exploring Structure of Objects. IEEE Trans. Knowl. Data Eng. 28(7): 1934-1939 (2016) - [j8]Ou Wu, Haiqiang Zuo, Weiming Hu, Bing Li:
Multimodal Web Aesthetics Assessment Based on Structural SVM and Multitask Fusion Learning. IEEE Trans. Multim. 18(6): 1062-1076 (2016) - [c45]Piplong Zhao, Ou Wu, Liyuan Guo, Weiming Hu, Jinfeng Yang:
Deep learning-based learning to rank with ties for image re-ranking. DSP 2016: 452-456 - [c44]Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu:
Fast kernel SVM training via support vector identification. ICPR 2016: 1554-1559 - [c43]Qiang You, Ou Wu, Guan Luo, Weiming Hu:
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks. MLDM 2016: 415-420 - [c42]Qiang You, Ou Wu, Guan Luo, Weiming Hu:
Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities. MLDM 2016: 421-434 - 2015
- [j7]Bing Li, Weihua Xiong, Ou Wu, Weiming Hu, Stephen J. Maybank, Shuicheng Yan:
Horror Image Recognition Based on Context-Aware Multi-Instance Learning. IEEE Trans. Image Process. 24(12): 5193-5205 (2015) - [c41]Qiang You, Weiming Hu, Ou Wu:
Influence Maximization in Human-Intervened Social Networks. SocInf@IJCAI 2015: 9-14 - [c40]Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu:
Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning. IJCAI 2015: 3699-3706 - 2014
- [j6]Shuxiao Li, Ou Wu, Chengfei Zhu, Hongxing Chang:
Visual object tracking using spatial Context Information and Global tracking skills. Comput. Vis. Image Underst. 125: 1-15 (2014) - [j5]Weiming Hu, Jun Gao, Yanguo Wang, Ou Wu, Stephen J. Maybank:
Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection. IEEE Trans. Cybern. 44(1): 66-82 (2014) - [c39]Ou Wu, Ruiguang Hu, Xue Mao, Weiming Hu:
Quality-Based Learning for Web Data Classification. AAAI 2014: 194-200 - [c38]Xin Ji, Ou Wu, Chenlong Wang, Jinfeng Yang:
Visual feature-based violent video detection. CCIS 2014: 619-623 - [c37]Xue Mao, Ou Wu, Weiming Hu, Peter O'Donovan:
Nonlinear Classification via Linear SVMs and Multi-Task Learning. CIKM 2014: 1955-1958 - [c36]Qiang You, Weiming Hu, Ou Wu, Haiqiang Zuo:
A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities. PAKDD Workshops 2014: 513-524 - [c35]Ou Wu, Shuxiao Li, Honghui Dong, Ying Chen, Weiming Hu:
Learning from Multi-User Multi-Attribute Annotations. SDM 2014: 19-27 - 2013
- [j4]Ou Wu, Weiming Hu, Lei Shi:
Measuring the Visual Complexities of Web Pages. ACM Trans. Web 7(1): 1:1-1:34 (2013) - [c34]Qishen Wang, Ou Wu, Ying Chen, Weiming Hu:
Label Ranking by Directly Optimizing Performance Measures. AAAI (Late-Breaking Developments) 2013 - [c33]Ying Chen, Ou Wu:
Video retrieval based on a new distance of histograms. FSKD 2013: 826-830 - [c32]Shuai Hao, Ou Wu, Weiming Hu, Jinfeng Yang:
Multi-Modal Multiple-Instance Learning and Attribute Discovery with the Application to the Web Violent Video Detection. IScIDE 2013: 449-456 - 2012
- [j3]Ou Wu, Weiming Hu, Stephen J. Maybank, Mingliang Zhu, Bing Li:
Efficient Clustering Aggregation Based on Data Fragments. IEEE Trans. Syst. Man Cybern. Part B 42(3): 913-926 (2012) - [c31]Ying Chen, Ou Wu:
Contextual Hausdorff dissimilarity for multi-instance clustering. FSKD 2012: 870-873 - [c30]Xingyu Zou, Ou Wu, Qishen Wang, Weiming Hu, Jinfeng Yang:
Multi-modal Based Violent Movies Detection in Video Sharing Sites. IScIDE 2012: 347-355 - [c29]Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu:
Unsupervised Ensemble Learning for Mining Top-n Outliers. PAKDD (1) 2012: 418-430 - [i1]Ou Wu:
Color Assessment and Transfer for Web Pages. CoRR abs/1208.1679 (2012) - 2011
- [j2]Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter:
Recognition of adult images, videos, and web page bags. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 28 (2011) - [c28]Qishen Wang, Ou Wu, Weiming Hu, Jinfeng Yang, Wanqing Li:
Ranking social emotions by learning listwise preference. ACPR 2011: 164-168 - [c27]Bing Li, Weihua Xiong, Weiming Hu, Ou Wu:
Evaluating combinational color constancy methods on real-world images. CVPR 2011: 1929-1936 - [c26]Ying Chen, Ou Wu:
Motion video retrieval based on optical flow and Haar wavelet. FSKD 2011: 1724-1728 - [c25]Jianchao Wang, Bing Li, Weiming Hu, Ou Wu:
Horror video scene recognition via Multiple-Instance learning. ICASSP 2011: 1325-1328 - [c24]Ou Wu, Weiming Hu, Jun Gao:
Learning to predict the perceived visual quality of photos. ICCV 2011: 225-232 - [c23]Wei Li, Xiaoqin Zhang, Wenhan Luo, Weiming Hu, Haibin Ling, Ou Wu:
Robust object tracking with boosted discriminative model via graph embedding. ICCV Workshops 2011: 1666-1672 - [c22]Ou Wu, Weiming Hu, Jun Gao:
Learning to Rank under Multiple Annotators. IJCAI 2011: 1571-1576 - [c21]Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu:
RKOF: Robust Kernel-Based Local Outlier Detection. PAKDD (2) 2011: 270-283 - [c20]Ou Wu, Yunfei Chen, Bing Li, Weiming Hu:
Evaluating the visual quality of web pages using a computational aesthetic approach. WSDM 2011: 337-346 - 2010
- [c19]Bing Li, Weiming Hu, Weihua Xiong, Ou Wu, Wei Li:
Horror Image Recognition Based on Emotional Attention. ACCV (2) 2010: 594-605 - [c18]Ou Wu, Weiming Hu, Bing Li:
Group ranking with application to image retrieval. CIKM 2010: 1441-1444 - [c17]Ying Chen, Ou Wu:
Semi-automated feature selection for web text filtering. FSKD 2010: 2513-2517 - [c16]Jianchao Wang, Bing Li, Weiming Hu, Ou Wu:
Horror movie scene recognition based on emotional perception. ICIP 2010: 1489-1492 - [c15]Jun Gao, Weiming Hu, Wei Li, Zhongfei (Mark) Zhang, Ou Wu:
Local Outlier Detection Based on Kernel Regression. ICPR 2010: 585-588 - [c14]Ou Wu, Jun Gao, Weiming Hu, Bing Li, Mingliang Zhu:
Identifying Multi-instance Outliers. SDM 2010: 430-441 - [c13]Mingliang Zhu, Weiming Hu, Ou Wu:
Topic Detection for Discussion Threads with Domain Knowledge. Web Intelligence 2010: 545-548 - [c12]Ou Wu, Yunfei Chen, Bing Li, Weiming Hu:
Learning to evaluate the visual quality of web pages. WWW 2010: 1205-1206 - [c11]Haiqiang Zuo, Weiming Hu, Ou Wu:
Patch-based skin color detection and its application to pornography image filtering. WWW 2010: 1227-1228
2000 – 2009
- 2009
- [c10]Ou Wu, Mingliang Zhu, Weiming Hu:
Fragment-based clustering ensembles. CIKM 2009: 1795-1798 - [c9]Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo:
Image spam filtering using Fourier-Mellin invariant features. ICASSP 2009: 849-852 - [c8]Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Jun Gao, Hanzi Wang:
Rank Aggregation Based Text Feature Selection. Web Intelligence 2009: 165-172 - [c7]Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan Luo:
Detecting image spam using local invariant features and pyramid match kernel. WWW 2009: 1187-1188 - 2008
- [c6]Haiqiang Zuo, Ou Wu, Weiming Hu, Bo Xu:
Recognition of blue movies by fusion of audio and video. ICME 2008: 37-40 - [c5]Mingliang Zhu, Weiming Hu, Ou Wu:
Topic Detection and Tracking for Threaded Discussion Communities. Web Intelligence 2008: 77-83 - [c4]Ou Wu, Haiqiang Zuo, Weiming Hu, Mingliang Zhu, Shuxiao Li:
Recognizing and Filtering Web Images Based on People's Existence. Web Intelligence 2008: 648-654 - [c3]Mingliang Zhu, Weiming Hu, Ou Wu, Xi Li, Xiaoqin Zhang:
User oriented link function classification. WWW 2008: 1191-1192 - 2007
- [j1]Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, Stephen J. Maybank:
Recognition of Pornographic Web Pages by Classifying Texts and Images. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1019-1034 (2007) - [c2]Mingliang Zhu, Weiming Hu, Xi Li, Ou Wu:
Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning. Web Intelligence 2007: 663-666 - 2006
- [c1]Zhouyao Chen, Ou Wu, Mingliang Zhu, Weiming Hu:
A Novel Web Page Filtering System by Combining Texts and Images. Web Intelligence 2006: 732-735
Coauthor Index
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