A Hybrid Method of Unsupervised Feature Selection Based on Ranking. - Yun Li 009; Bao-Liang Lu; Zhong-Fu Wu (ICPR (2), 2006)

Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule. - Yun Li 009; Bao-Liang Lu (VISUAL, 2007)

Hierarchical fuzzy filter method for unsupervised feature selection. - Yun Li 009; Bao-Liang Lu; Zhong-Fu Wu (J. Intell. Fuzzy Syst., 2007)

Fuzzy feature selection based on min-max learning rule and extension matrix. - Yun Li 009; Zhong-Fu Wu (Pattern Recognit., 2008)

Similarity-Based Feature Selection for Learning from Examples with Continuous Values. - Yun Li 009; Su-Jun Hu; Wen-Jie Yang; Guozi Sun; Fang-Wu Yao; Geng Yang (PAKDD, 2009)

Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis. - Yun Li 009; Bao-Liang Lu; Tengfei Zhang (Int. J. Artif. Intell. Tools, 2009)

Feature selection based on loss-margin of nearest neighbor classification. - Yun Li 009; Bao-Liang Lu (Pattern Recognit., 2009)

Bisecting data partitioning methods for Min-Max Modular Support Vector Machine. - Xiao-Min Xie; Yun Li 009 (FSKD, 2011)

Energy-Based Feature Selection and Its Ensemble Version. - Yun Li 009; Su-Yan Gao (ICONIP (2), 2011)

Ensemble Feature Weighting Based on Local Learning and Diversity. - Yun Li 009; Su-Yan Gao; Songcan Chen (AAAI, 2012)

Integrating feature selection and Min-Max Modular SVM for powerful ensemble. - Yun Li 009; Li-Li Feng (IJCNN, 2012)

Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection. - Wei Ji; Yun Li 009 (IET Signal Process., 2012)

Stable L2-Regularized Ensemble Feature Weighting. - Yun Li 009; Shasha Huang; Songcan Chen; Jennie Si (MCS, 2013)

A Link Prediction Method That Can Learn from Network Dynamics. - Yang Chen; Ke-Jia Chen 001; Yun Li 009 (ICDM Workshops, 2014)

Differentially private feature selection. - Jun Yang; Yun Li 009 (IJCNN, 2014)

HALLP: A Hybrid Active Learning Approach to Link Prediction Task. - Ke-Jia Chen 001; Jingyu Han; Yun Li 009 (J. Comput., 2014)

Local energy-based framework for feature ranking. - Wei Ji; Yun Li 009; Kejia Chen 001; Guojing Zhou (J. Intell. Fuzzy Syst., 2015)

FREL: A Stable Feature Selection Algorithm. - Yun Li 009; Jennie Si; Guojing Zhou; Shasha Huang; Songcan Chen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble. - Wei Ji; Yun Li 009 (ICASSP, 2016)

Internet traffic classification based on Min-Max Ensemble Feature Selection. - Yinxiang Huang; Yun Li 009; Baohua Qiang (IJCNN, 2016)

Local learning-based feature weighting with privacy preservation. - Yun Li 009; Jun Yang; Wei Ji (Neurocomputing, 2016)

A supervised link prediction method for dynamic networks. - Ke-Jia Chen 001; Yang Chen; Yun Li 009; Jingyu Han (J. Intell. Fuzzy Syst., 2016)

On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning. - Ke-Jia Chen 001; Shijun Xue; Yun Li 009; Bin Liu 021 (ASONAM, 2017)

Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal. - Xuedong Hou; Yun Li 009; Tao Li 001 (ICONIP (2), 2017)

Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. - Yu Wang 072; Bin Xia 003; Zheng Liu 001; Yun Li 009; Tao Li 001 (ISKE, 2017)

Attention-based recurrent neural network for location recommendation. - Bin Xia 003; Yun Li 009; Qianmu Li; Tao Li 001 (ISKE, 2017)

Min-Max Ensemble Feature Selection. - Wei Ji; Yixiang Huang; Baohua Qiang; Yun Li 009 (J. Intell. Fuzzy Syst., 2017)

Recent advances in feature selection and its applications. - Yun Li 009; Tao Li 001; Huan Liu 001 (Knowl. Inf. Syst., 2017)

Semi-supervised manifold regularization with adaptive graph construction. - Yunyun Wang; Yan Meng; Yun Li 009; Songcan Chen; Zhenyong Fu; Hui Xue 002 (Pattern Recognit. Lett., 2017)

Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples. - Jie Hang; Keji Han; Yun Li 009 (ICONIP (3), 2018)

Differential Private Ensemble Feature Selection. - Zhongfeng Liu; Yun Li 009; Wei Ji (IJCNN, 2018)

Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization. - Xianzhong Long; Yun Li 009 (IJCNN, 2018)

Transfer learning with partial related "instance-feature" knowledge. - Yunyun Wang; Jie Zhai; Yun Li 009; Kejia Chen 001; Hui Xue 002 (Neurocomputing, 2018)

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. - Ziyu Shen; Xusheng Zhang; Binghui Liu; Bin Xia 003; Zheng Liu 001; Yun Li 009; Saiqin Long (CBD, 2019)

VLAD Encoding Based on LLC for Image Classification. - Cheng Cheng; Xianzhong Long; Yun Li 009 (ICMLC, 2019)

ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. - Junjie Yin; Yun Li 009; Zheng Liu 001; Jian Xu 009; Bin Xia 003; Qianmu Li (IJCNN, 2019)

Generative Networks for Adversarial Examples with Weighted Perturbations. - Jing Guo; Wei Ji; Yun Li 009 (ISKE, 2019)

Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. - Ziyu Shen; Xusheng Zhang; Bin Xia 003; Zheng Liu 001; Yun Li 009 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering. - Wei Ji; Zhenbin Li 003; Yun Li 009 (PAKDD (Workshops), 2019)

SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. - Yu Wang 072; Yun Li 009; Ziye Zhu; Bin Xia 003; Zheng Liu 001 (PAKDD (1), 2019)

The Most Related Knowledge First: A Progressive Domain Adaptation Method. - Yunyun Wang; Dan Zhao; Yun Li 009; Kejia Chen 001; Hui Xue 002 (PAKDD (Workshops), 2019)

LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs. - Bin Xia 003; Junjie Yin; Jian Xu 009; Yun Li 009 (SciSec, 2019)

Adversarial Training Based Feature Selection. - Binghui Liu; Keji Han; Jie Hang; Yun Li 009 (SciSec, 2019)

Accelerating Wait-Free Algorithms: Pragmatic Solutions on Cache-Coherent Multicore Architectures. - Junchang Wang; Qi Jin; Xiong Fu; Yun Li 009; Peichang Shi (IEEE Access, 2019)

Adversary resistant deep neural networks via advanced feature nullification. - Keji Han; Yun Li 009; Jie Hang (Knowl. Based Syst., 2019)

WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium. - Bin Xia 003; Junjie Yin; Jian Xu 009; Yun Li 009 (Knowl. Based Syst., 2019)

On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. - Ke-Jia Chen 001; Hao Lu; Yun Li 009; Bin Liu 021 (Stat. Anal. Data Min., 2019)

A Way to Explore the Lower Bound of Adversarial Perturbation. - Keji Han; Yuxuan Bai; Yun Li 009 (BigComp, 2020)

Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks. - Yi Mao; Yun Li 009; Jiatai Sun; Yixin Chen 001 (IEEE BigData, 2020)

Estimating Power Consumption of Containers and Virtual Machines in Data Centers. - Xusheng Zhang; Ziyu Shen; Bin Xia 003; Zheng Liu 001; Yun Li 009 (CLUSTER, 2020)

HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. - Yu Wang 072; Yun Li 009; Hanghang Tong; Ziye Zhu (EMNLP (1), 2020)

Energy efficiency evaluation based on QoS parameter specification for cloud systems. - Saiqin Long; Hao Yu; Zhetao Li; Shujuan Tian; Yun Li 009 (HPCC/DSS/SmartCity, 2020)

Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering. - Xianzhong Long; Jian Xiong 005; Yun Li 009 (ICONIP (5), 2020)

DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. - Shajia Shan; Ziyu Shen; Bin Xia 003; Zheng Liu 001; Yun Li 009 (ICONIP (3), 2020)

CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. - Ziye Zhu; Yun Li 009; Hanghang Tong; Yu Wang 072 (IJCAI, 2020)

Adversarial Named Entity Recognition with POS label embedding. - Yuxuan Bai; Yu Wang 072; Bin Xia 003; Yun Li 009; Ziye Zhu (IJCNN, 2020)

Collaboratively Modeling and Embedding of Latent Topics for Short Texts. - Zheng Liu 001; Tingting Qin; Ke-Jia Chen 001; Yun Li 009 (IEEE Access, 2020)

Is It Time to Redefine the Classification Task for Deep Neural Networks? - Keji Han; Yun Li 009 (CoRR, 2020)

iBridge: Inferring bridge links that diffuse information across communities. - Ke-Jia Chen 001; Pei Zhang; Zinong Yang; Yun Li 009 (Knowl. Based Syst., 2020)

Soft large margin clustering for unsupervised domain adaptation. - Yunyun Wang; Lingli Nie; Yun Li 009; Songcan Chen (Knowl. Based Syst., 2020)

Ensemble adversarial black-box attacks against deep learning systems. - Jie Hang; Keji Han; Hui Chen; Yun Li 009 (Pattern Recognit., 2020)

Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. - Yu Wang 072; Yun Li 009; Ziye Zhu; Hanghang Tong; Yue Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Scene Image Classification Based on Improved VLAD Reprensentation. - Zhiyi Zhang; Xianzhong Long; Yun Li 009 (IJCNN, 2021)

TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization. - Ziye Zhu; Yu Wang 072; Yun Li 009 (KSEM, 2021)

A deep multimodal model for bug localization. - Ziye Zhu; Yun Li 009; Yu Wang 072; Yaojing Wang; Hanghang Tong (Data Min. Knowl. Discov., 2021)

LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling. - Bin Xia 003; Yuxuan Bai; Junjie Yin; Yun Li 009; Jian Xu 009 (Inf. Syst. Frontiers, 2021)

Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? - Yue Liu; Yun Li 009 (ICDM, 2022)

Transferable Interpolated Adversarial Attack with Random-Layer Mixup. - Size Ma; Keji Han; Xianzhong Long; Yun Li 009 (PAKDD (2), 2022)

Data characteristics aware prediction model for power consumption of data center servers. - Ziyu Shen; Qing Zhou; Xusheng Zhang; Bin Xia 003; Zheng Liu 001; Yun Li 009 (Concurr. Comput. Pract. Exp., 2022)

Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings. - Zheng Liu 001; Jialing Zhang; Yun Li 009 (Knowl. Based Syst., 2022)

Multi-network contrastive learning of visual representations. - Xianzhong Long; Zhiyi Zhang; Yun Li 009 (Knowl. Based Syst., 2022)

Enhancing bug localization with bug report decomposition and code hierarchical network. - Ziye Zhu; Hanghang Tong; Yu Wang 072; Yun Li 009 (Knowl. Based Syst., 2022)

A singular value decomposition representation based approach for robust face recognition. - Xianzhong Long; Zhiyi Zhang; Yun Li 009 (Multim. Tools Appl., 2022)

(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. - Keji Han; Bin Xia 003; Yun Li 009 (Pattern Recognit., 2022)

One-to-many comparative summarization for patents. - Zheng Liu 001; Jialing Zhang; Tingting Qin; Yanwen Qu; Yun Li 009 (Scientometrics, 2022)

Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening. - Pengfei Liu 002; Yun Li 009 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Nested Named Entity Recognition: A Survey. - Yu Wang 072; Hanghang Tong; Ziye Zhu; Yun Li 009 (ACM Trans. Knowl. Discov. Data, 2022)

Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training. - Yao Ge 004; Yun Li 009; Keji Han; Junyi Zhu 006; Xianzhong Long (ICCV, 2023)

Attribution of Adversarial Attacks via Multi-task Learning. - Zhongyi Guo; Keji Han; Yao Ge 004; Yun Li 009; Wei Ji (ICONIP (2), 2023)

Scalable Attribution of Adversarial Attacks via Multi-Task Learning. - Zhongyi Guo; Keji Han; Yao Ge 004; Wei Ji; Yun Li 009 (CoRR, 2023)

Synthetic Hard Negative Samples for Contrastive Learning. - Hengkui Dong; Xianzhong Long; Yun Li 009; Lei Chen (CoRR, 2023)

MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues. - Chen Peng; Xianzhong Long; Yun Li 009 (CoRR, 2023)

Multi-network Contrastive Learning Based on Global and Local Representations. - Weiquan Li; Xianzhong Long; Yun Li 009 (CoRR, 2023)

PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. - Ziyu Shen; Xusheng Zhang; Zheng Liu 001; Yun Li 009 (IEEE Trans. Cloud Comput., 2023)

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. - Ziyu Shen; Binghui Liu; Qing Zhou; Zheng Liu 001; Bin Xia 003; Yun Li 009 (ACM Trans. Intell. Syst. Technol., 2023)

BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. - Ziye Zhu; Hanghang Tong; Yu Wang 072; Yun Li 009 (IEEE Trans. Knowl. Data Eng., 2023)

Rethinking samples selection for contrastive learning: Mining of potential samples. - Hengkui Dong; Xianzhong Long; Yun Li 009 (Knowl. Based Syst., 2024)

PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. - Deqiang Li; Shicheng Cui; Yun Li 009; Jia Xu 003; Fu Xiao 001; Shouhuai Xu (IEEE Trans. Dependable Secur. Comput., 2024)

Synthetic Hard Negative Samples for Contrastive Learning. - Hengkui Dong; Xianzhong Long; Yun Li 009 (Neural Process. Lett., 2024)

Temporal characteristics-based adversarial attacks on time series forecasting. - Ziyu Shen; Yun Li 009 (Expert Syst. Appl., 2025)

Fairness-aware feature selection: A causal path approach. - Wenqiong Zhang; Yun Li 009; Yue Liu (Knowl. Based Syst., 2025)

Rethinking the validity of perturbation in single-step adversarial training. - Yao Ge 004; Yun Li 009; Keji Han (Pattern Recognit., 2025)

MNN: Mixed nearest-neighbors for self-supervised learning. - Xianzhong Long; Chen Peng; Yun Li 009 (Pattern Recognit., 2025)

DLR: Adversarial examples detection and label recovery for deep neural networks. - Keji Han; Yao Ge 004; Ruchuan Wang; Yun Li 009 (Pattern Recognit. Lett., 2025)

Enhancing biomedical named entity recognition with parallel boundary detection and category classification. - Yu Wang 072; Hanghang Tong; Ziye Zhu; Fengzhen Hou; Yun Li 009 (BMC Bioinform., 2025)