Yun Li

Chen Peng

Pattern Recognit., 2025

Rethinking the validity of perturbation in single-step adversarial training.

[BibT_eX]

[DOI]

Yao Ge

Pattern Recognit., 2025

2024

Synthetic Hard Negative Samples for Contrastive Learning.

[BibT_eX]

[DOI]

Hengkui Dong

Neural Process. Lett., February, 2024

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Rethinking samples selection for contrastive learning: Mining of potential samples.

[BibT_eX]

[DOI]

Hengkui Dong

Knowl. Based Syst., 2024

2023

BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., April, 2023

PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Multi-network Contrastive Learning Based on Global and Local Representations.

[BibT_eX]

[DOI]

Weiquan Li

CoRR, 2023

MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues.

[BibT_eX]

[DOI]

Chen Peng

CoRR, 2023

Synthetic Hard Negative Samples for Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Nested Named Entity Recognition: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening.

[BibT_eX]

[DOI]

Pengfei Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

One-to-many comparative summarization for patents.

[BibT_eX]

[DOI]

Scientometrics, 2022

(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal.

[BibT_eX]

[DOI]

Bin Xia

Pattern Recognit., 2022

A singular value decomposition representation based approach for robust face recognition.

[BibT_eX]

[DOI]

Zhiyi Zhang

Multim. Tools Appl., 2022

Enhancing bug localization with bug report decomposition and code hierarchical network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Multi-network contrastive learning of visual representations.

[BibT_eX]

[DOI]

Zhiyi Zhang

Knowl. Based Syst., 2022

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings.

[BibT_eX]

[DOI]

Zheng Liu

Jialing Zhang

Knowl. Based Syst., 2022

Data characteristics aware prediction model for power consumption of data center servers.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

Transferable Interpolated Adversarial Attack with Random-Layer Mixup.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Robustness May be at Odds with Stability in Adversarial Training based Feature Selection?

[BibT_eX]

[DOI]

Yue Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2021

A deep multimodal model for bug localization.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization.

[BibT_eX]

[DOI]

Ziye Zhu

Yu Wang

Proceedings of the Knowledge Science, Engineering and Management, 2021

Scene Image Classification Based on Improved VLAD Reprensentation.

[BibT_eX]

[DOI]

Zhiyi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Ensemble adversarial black-box attacks against deep learning systems.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Soft large margin clustering for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

iBridge: Inferring bridge links that diffuse information across communities.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Is It Time to Redefine the Classification Task for Deep Neural Networks?

[BibT_eX]

[DOI]

CoRR, 2020

Collaboratively Modeling and Embedding of Latent Topics for Short Texts.

[BibT_eX]

[DOI]

IEEE Access, 2020

Adversarial Named Entity Recognition with POS label embedding.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

CooBa: Cross-project Bug Localization via Adversarial Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering.

[BibT_eX]

[DOI]

Jian Xiong

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Energy efficiency evaluation based on QoS parameter specification for cloud systems.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Estimating Power Consumption of Containers and Virtual Machines in Data Centers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2020

Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Way to Explore the Lower Bound of Adversarial Perturbation.

[BibT_eX]

[DOI]

Yuxuan Bai

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2019

WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Adversary resistant deep neural networks via advanced feature nullification.

[BibT_eX]

[DOI]

Jie Hang

Knowl. Based Syst., 2019

Accelerating Wait-Free Algorithms: Pragmatic Solutions on Cache-Coherent Multicore Architectures.

[BibT_eX]

[DOI]

IEEE Access, 2019

Adversarial Training Based Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Science of Cyber Security - Second International Conference, 2019

LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs.

[BibT_eX]

[DOI]

Proceedings of the Science of Cyber Security - Second International Conference, 2019

The Most Related Knowledge First: A Progressive Domain Adaptation Method.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering.

[BibT_eX]

[DOI]

Zhenbin Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Generative Networks for Adversarial Examples with Weighted Perturbations.

[BibT_eX]

[DOI]

Jing Guo

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

VLAD Encoding Based on LLC for Image Classification.

[BibT_eX]

[DOI]

Cheng Cheng

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018

Transfer learning with partial related "instance-feature" knowledge.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Differential Private Ensemble Feature Selection.

[BibT_eX]

[DOI]

Zhongfeng Liu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Jie Hang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Semi-supervised manifold regularization with adaptive graph construction.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Recent advances in feature selection and its applications.

[BibT_eX]

[DOI]

Tao Li

Huan Liu

Knowl. Inf. Syst., 2017

Min-Max Ensemble Feature Selection.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2017

Attention-based recurrent neural network for location recommendation.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal.

[BibT_eX]

[DOI]

Xuedong Hou

Tao Li

Proceedings of the Neural Information Processing - 24th International Conference, 2017

On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

A supervised link prediction method for dynamic networks.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2016

Local learning-based feature weighting with privacy preservation.

[BibT_eX]

[DOI]

Jun Yang

Neurocomputing, 2016

Internet traffic classification based on Min-Max Ensemble Feature Selection.

[BibT_eX]

[DOI]

Yinxiang Huang

Baohua Qiang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

FREL: A Stable Feature Selection Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Local energy-based framework for feature ranking.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

2014

HALLP: A Hybrid Active Learning Approach to Link Prediction Task.

[BibT_eX]

[DOI]

Ke-Jia Chen

Jingyu Han

J. Comput., 2014

Differentially private feature selection.

[BibT_eX]

[DOI]

Jun Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Link Prediction Method That Can Learn from Network Dynamics.

[BibT_eX]

[DOI]

Yang Chen

Ke-Jia Chen

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Stable L2-Regularized Ensemble Feature Weighting.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

2012

Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection.

[BibT_eX]

[DOI]

IET Signal Process., 2012

Integrating feature selection and Min-Max Modular SVM for powerful ensemble.

[BibT_eX]

[DOI]

Li-Li Feng

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Ensemble Feature Weighting Based on Local Learning and Diversity.

[BibT_eX]

[DOI]

Su-Yan Gao

Songcan Chen

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Energy-Based Feature Selection and Its Ensemble Version.

[BibT_eX]

[DOI]

Su-Yan Gao

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Bisecting data partitioning methods for Min-Max Modular Support Vector Machine.

[BibT_eX]

[DOI]

Xiao-Min Xie

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2009

Feature selection based on loss-margin of nearest neighbor classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis.

[BibT_eX]

[DOI]

Teng-Fei Zhang

Int. J. Artif. Intell. Tools, 2009

Similarity-Based Feature Selection for Learning from Examples with Continuous Values.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008

Fuzzy feature selection based on min-max learning rule and extension matrix.

[BibT_eX]

[DOI]

Zhong-Fu Wu

Pattern Recognit., 2008

2007

Hierarchical fuzzy filter method for unsupervised feature selection.

[BibT_eX]

[DOI]

Zhong-Fu Wu

J. Intell. Fuzzy Syst., 2007

Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Information Systems, 9th International Conference, 2007

2006

A Hybrid Method of Unsupervised Feature Selection Based on Ranking.

[BibT_eX]

[DOI]