Ou Wu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 72

Top Venues

CoRR

Knowl. Based Syst.

IEEE Trans. Knowl. Data Eng.

ACM Trans. Knowl. Discov. Data

Publications

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) (2024)
Ou Wu, Weiyao Zhu, Mengyang Li
Is Data Valuation Learnable and Interpretable? CoRR (2024)
Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng
Exploring the Learning Difficulty of Data: Theory and Measure. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
Data Valuation by Leveraging Global and Local Statistical Information. CoRR (2024)
Xiaoling Zhou, Ou Wu, Mengyang Li
Investigating the Sample Weighting Mechanism Using an Interpretable Weighting Framework. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Weiyao Zhu, Ou Wu, Nan Yang
IRDA: Implicit data augmentation for deep imbalanced regression. Inf. Sci. 677 (2024)
Fengguang Su, Ou Wu, Weiyao Zhu
Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting. IEEE Trans. Image Process. 33 (2024)
Rujing Yao, Ou Wu
A Taxonomy for Learning with Perturbation and Algorithms. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure. CoRR (2023)
Xiaoling Zhou, Nan Yang, Ou Wu
Combining Adversaries with Anti-adversaries in Training. CoRR (2023)
Ou Wu, Binbin Huang, Shanshan Li, Yanze Wang, Haoming Li
A performance evaluation method of queuing theory based on Cosmos cross-chain platform. CCF Trans. High Perform. Comput. 5 (4) (2023)
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) (2023)
Ou Wu
Rethinking Class Imbalance in Machine Learning. CoRR (2023)
Xiaoling Zhou, Ou Wu
Implicit Counterfactual Data Augmentation for Deep Neural Networks. CoRR (2023)
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)
Yu Zhu, Yingchun Ye, Mengyang Li, Ji Zhang, Ou Wu
Investigating annotation noise for named entity recognition. Neural Comput. Appl. 35 (1) (2023)
Ou Wu, Rujing Yao
Data Optimization in Deep Learning: A Survey. CoRR (2023)
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) (2023)
Ou Wu, Shanshan Li, He Zhang, Liwen Liu, Haoming Li, Yanze Wang, Ziyi Zhang
An optimal scheduling algorithm considering the transactions worst-case delay for multi-channel hyperledger fabric network. Parallel Comput. 117 (2023)
Xiaoling Zhou, Nan Yang, Ou Wu
Combining Adversaries with Anti-adversaries in Training. AAAI (2023)
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 (2022)
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
Logit Perturbation. AAAI (2022)
Ou Wu, Shanshan Li, Liwen Liu, He Zhang, Xin Zhou, Qinghua Lu
Performance Modeling of Hyperledger Fabric 2.0. EASE (2022)
Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Ou Wu
Deep human answer understanding for natural reverse QA. Knowl. Based Syst. 254 (2022)
Ou Wu, Binbin Huang, Shanshan Li, Yanze Wang, Haoming Li
A Performance Evaluation Method for a Class of Cross-Chain Systems. MONAMI (2022)
Fengguang Su, Yu Zhu, Ou Wu, Yingjun Deng
Submodular Meta Data Compiling for Meta Optimization. ECML/PKDD (3) (2022)
Ou Wu, Shanshan Li, He Zhang, Liwen Liu, Yanze Wang, Haoming Li
An Optimized Scheduling Algorithm for the Multi-channel Hyperledger Fabric. ISPA/BDCloud/SocialCom/SustainCom (2022)
Ou Wu, Shanshan Li, Yanze Wang, Haoming Li, He Zhang
Modeling Cross-blockchain Process Using Queueing Theory: The Case of Cosmos. ICPADS (2022)
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) (2022)
Weiyao Zhu, Ou Wu, Fengguang Su, Yingjun Deng
Exploring the Learning Difficulty of Data Theory and Measure. CoRR (2022)
Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu
Tackling the Imbalance for GNNs. IJCNN (2022)
Yu Zhu, Ou Wu
Elementary discourse units with sparse attention for multi-label emotion classification. Knowl. Based Syst. 240 (2022)
Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang
Class-Level Logit Perturbation. CoRR (2022)
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 (2022)
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) (2022)
Xiaoling Zhou, Ou Wu, Weiyao Zhu, Ziyang Liang
Understanding Difficulty-Based Sample Weighting with a Universal Difficulty Measure. ECML/PKDD (3) (2022)
Rui Wang, Weixuan Xiong, Qing-Hu Hou, Ou Wu
Tackling the Imbalance for GNNs. CoRR (2021)
Rujing Yao, Mengyang Li, Ou Wu
Compensation Learning. CoRR (2021)
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 (2021)
Alan J. X. Guo, Qing-Hu Hou, Ou Wu
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm. CoRR (2021)
Xiaoling Zhou, Ou Wu
Which Samples Should be Learned First: Easy or Hard? CoRR (2021)
Xiaoling Zhou, Ou Wu
Drop "Noise" Edge: An Approximation of the Bayesian GNNs. ACPR (2) (2021)
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) (2021)
Ou Wu, Weiyao Zhu, Yingjun Deng, Haixiang Zhang, Qing-Hu Hou
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off. CoRR (2021)
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) (2020)
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) (2020)
Rui Wang, Xiaoling Zhou, Jian Wu, Ou Wu
Inter-subdiscipline Analysis Based on Mathematical Statements. JCDL (2020)
Pinlong Zhao, Linlin Hou, Ou Wu
Modeling sentiment dependencies with graph convolutional networks for aspect-level sentiment classification. Knowl. Based Syst. 193 (2020)
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 (2020)
Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu
AI Marker-based Large-scale AI Literature Mining. CoRR (2020)
Pinlong Zhao, Linlin Hou, Ou Wu
Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification. CoRR (2019)
Rujing Yao, Linlin Hou, Yingchun Ye, Ou Wu, Ji Zhang, Jian Wu
Method and Dataset Mining in Scientific Papers. CoRR (2019)
Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. PAKDD (2) (2019)
Qing Yin, Guan Luo, Xiaodong Zhu, Qinghua Hu, Ou Wu
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. CoRR (2019)
Lei Yang, Qing Yin, Linlin Hou, Jie Gui, Ou Wu, James Kwok
AntNet: Deep Answer Understanding Network for Natural Reverse QA. CoRR (2019)
Ou Wu, Tao Yang, Mengyang Li, Ming Li
ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis. CoRR (2018)
Ou Wu, Mengqiao Han
Screenshot-based color compatibility assessment and transfer for Web pages. Multim. Tools Appl. 77 (6) (2018)
Ou Wu
Classifier Ensemble by Exploring Supplementary Ordering Information. IEEE Trans. Knowl. Data Eng. 30 (11) (2018)
Ou Wu, Xue Mao, Weiming Hu
Iteratively Divide-and-Conquer Learning for Nonlinear Classification and Ranking. ACM Trans. Intell. Syst. Technol. 9 (2) (2018)
Pinlong Zhao, Zhouyu Fu, Ou Wu, Qinghua Hu, Jun Wang
Detecting Adversarial Examples via Key-based Network. CoRR (2018)
Yunyan Duan, Ou Wu
Learning With Auxiliary Less-Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 28 (7) (2017)
Liming Dong, Bohan Liu, Zheng Li, Ou Wu, Muhammad Ali Babar, Bingbing Xue
A Mapping Study on Mining Software Process. APSEC (2017)
Mengqiao Han, Ou Wu, Zhendong Niu
Unsupervised Automatic Text Style Transfer Using LSTM. NLPCC (2017)
Ou Wu
An Optimal Opportunistic Scheduling Algorithm for Parallel Tasks in a Cloudlet. APSEC Workshops (2017)
Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu
Fast kernel SVM training via support vector identification. ICPR (2016)
Qiang You, Ou Wu, Guan Luo, Weiming Hu
Metadata-Based Clustered Multi-task Learning for Thread Mining in Web Communities. MLDM (2016)
Piplong Zhao, Ou Wu, Liyuan Guo, Weiming Hu, Jinfeng Yang
Deep learning-based learning to rank with ties for image re-ranking. DSP (2016)
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) (2016)
Ou Wu
How Does the Dependence between Inspectors Impact Capture-Recapture Estimation? An Empirical Study. QRS (2016)
Qiang You, Ou Wu, Guan Luo, Weiming Hu
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks. MLDM (2016)
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) (2016)
Ou Wu, Qiang You, Fen Xia, Lei Ma, Weiming Hu
Listwise Learning to Rank from Crowds. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Xue Mao, Zhouyu Fu, Ou Wu, Weiming Hu
Optimizing Locally Linear Classifiers with Supervised Anchor Point Learning. IJCAI (2015)
Guoping Rong, He Zhang, Dong Shao, Ou Wu
A Method to Evaluate Estimates Produced by the Capture-Recapture Model. ASE Workshops (2015)
Qiang You, Weiming Hu, Ou Wu
Influence Maximization in Human-Intervened Social Networks. SocInf@IJCAI (2015)
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) (2015)
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) (2014)
Qiang You, Weiming Hu, Ou Wu, Haiqiang Zuo
A Unified Fusion Framework for Time-Related Rank in Threaded Discussion Communities. PAKDD Workshops (2014)
Ou Wu, Ruiguang Hu, Xue Mao, Weiming Hu
Quality-Based Learning for Web Data Classification. AAAI (2014)
Xin Ji, Ou Wu, Chenlong Wang, Jinfeng Yang
Visual feature-based violent video detection. CCIS (2014)
Shuxiao Li, Ou Wu, Chengfei Zhu, Hongxing Chang
Visual object tracking using spatial Context Information and Global tracking skills. Comput. Vis. Image Underst. 125 (2014)
Ou Wu, Shuxiao Li, Honghui Dong, Ying Chen, Weiming Hu
Learning from Multi-User Multi-Attribute Annotations. SDM (2014)
Xue Mao, Ou Wu, Weiming Hu, Peter O'Donovan
Nonlinear Classification via Linear SVMs and Multi-Task Learning. CIKM (2014)
Qishen Wang, Ou Wu, Ying Chen, Weiming Hu
Label Ranking by Directly Optimizing Performance Measures. AAAI (Late-Breaking Developments) (2013)
Ying Chen, Ou Wu
Video retrieval based on a new distance of histograms. FSKD (2013)
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)
Ou Wu, Weiming Hu, Lei Shi
Measuring the Visual Complexities of Web Pages. ACM Trans. Web 7 (1) (2013)
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) (2012)
Ying Chen, Ou Wu
Contextual Hausdorff dissimilarity for multi-instance clustering. FSKD (2012)
Ou Wu
Color Assessment and Transfer for Web Pages CoRR (2012)
Xingyu Zou, Ou Wu, Qishen Wang, Weiming Hu, Jinfeng Yang
Multi-modal Based Violent Movies Detection in Video Sharing Sites. IScIDE (2012)
Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu
Unsupervised Ensemble Learning for Mining Top-n Outliers. PAKDD (1) (2012)
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)
Ou Wu, Yunfei Chen, Bing Li, Weiming Hu
Evaluating the visual quality of web pages using a computational aesthetic approach. WSDM (2011)
Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu
RKOF: Robust Kernel-Based Local Outlier Detection. PAKDD (2) (2011)
Ying Chen, Ou Wu
Motion video retrieval based on optical flow and Haar wavelet. FSKD (2011)
Ou Wu, Weiming Hu, Jun Gao
Learning to Rank under Multiple Annotators. IJCAI (2011)
Bing Li, Weihua Xiong, Weiming Hu, Ou Wu
Evaluating combinational color constancy methods on real-world images. CVPR (2011)
Ou Wu, Weiming Hu, Jun Gao
Learning to predict the perceived visual quality of photos. ICCV (2011)
Qishen Wang, Ou Wu, Weiming Hu, Jinfeng Yang, Wanqing Li
Ranking social emotions by learning listwise preference. ACPR (2011)

Ou Wu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ou Wu