Yun Li

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 52

Top Topics

Manifold Regularization

Heterogeneous Information Networks

Named Entity Recognition

Top Venues

Knowl. Based Syst.

J. Intell. Fuzzy Syst.

Publications

Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. IEEE Trans. Dependable Secur. Comput. 21 (2) (2024)
Hengkui Dong, Xianzhong Long, Yun Li
Rethinking samples selection for contrastive learning: Mining of potential samples. Knowl. Based Syst. 299 (2024)
Hengkui Dong, Xianzhong Long, Yun Li
Synthetic Hard Negative Samples for Contrastive Learning. Neural Process. Lett. 56 (1) (2024)
Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
Synthetic Hard Negative Samples for Contrastive Learning. CoRR (2023)
Hengkui Dong, Xianzhong Long, Yun Li
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples. CoRR (2023)
Ziyu Shen, Xusheng Zhang, Zheng Liu, Yun Li
PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. IEEE Trans. Cloud Comput. 11 (3) (2023)
Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, Yun Li
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Chen Peng, Xianzhong Long, Yun Li
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues. CoRR (2023)
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Weiquan Li, Xianzhong Long, Yun Li
Multi-network Contrastive Learning Based on Global and Local Representations. CoRR (2023)
Ziyu Shen, Qing Zhou, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li
Data characteristics aware prediction model for power consumption of data center servers. Concurr. Comput. Pract. Exp. 34 (11) (2022)
Pengfei Liu, Yun Li
Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Size Ma, Keji Han, Xianzhong Long, Yun Li
Transferable Interpolated Adversarial Attack with Random-Layer Mixup. PAKDD (2) (2022)
Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li
Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Keji Han, Bin Xia, Yun Li
(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. Pattern Recognit. 122 (2022)
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248 (2022)
Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35 (4) (2021)
Bin Xia, Yuxuan Bai, Junjie Yin, Yun Li, Jian Xu
LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling. Inf. Syst. Frontiers 23 (2) (2021)
Ziye Zhu, Yu Wang, Yun Li
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization. KSEM (2021)
Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li
Estimating Power Consumption of Containers and Virtual Machines in Data Centers. CLUSTER (2020)
Ke-Jia Chen, Pei Zhang, Zinong Yang, Yun Li
iBridge: Inferring bridge links that diffuse information across communities. Knowl. Based Syst. 192 (2020)
Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) (2020)
Yuxuan Bai, Yu Wang, Bin Xia, Yun Li, Ziye Zhu
Adversarial Named Entity Recognition with POS label embedding. IJCNN (2020)
Jie Hang, Keji Han, Hui Chen, Yun Li
Ensemble adversarial black-box attacks against deep learning systems. Pattern Recognit. 101 (2020)
Keji Han, Yuxuan Bai, Yun Li
A Way to Explore the Lower Bound of Adversarial Perturbation. BigComp (2020)
Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen
Soft large margin clustering for unsupervised domain adaptation. Knowl. Based Syst. 192 (2020)
Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI (2020)
Keji Han, Yun Li
Is It Time to Redefine the Classification Task for Deep Neural Networks? CoRR (2020)
Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li
Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. ISPA/BDCloud/SocialCom/SustainCom (2019)
Jing Guo, Wei Ji, Yun Li
Generative Networks for Adversarial Examples with Weighted Perturbations. ISKE (2019)
Ke-Jia Chen, Hao Lu, Yun Li, Bin Liu
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. Stat. Anal. Data Min. 12 (3) (2019)
Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li, Saiqin Long
PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. CBD (2019)
Keji Han, Yun Li, Jie Hang
Adversary resistant deep neural networks via advanced feature nullification. Knowl. Based Syst. 179 (2019)
Bin Xia, Junjie Yin, Jian Xu, Yun Li
WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium. Knowl. Based Syst. 182 (2019)
Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. PAKDD (1) (2019)
Yunyun Wang, Dan Zhao, Yun Li, Ke-Jia Chen, Hui Xue
The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops) (2019)
Wei Ji, Zhenbin Li, Yun Li
Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering. PAKDD (Workshops) (2019)
Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework. IJCNN (2019)
Binghui Liu, Keji Han, Jie Hang, Yun Li
Adversarial Training Based Feature Selection. SciSec (2019)
Bin Xia, Junjie Yin, Jian Xu, Yun Li
LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs. SciSec (2019)
Yunyun Wang, Jie Zhai, Yun Li, Ke-Jia Chen, Hui Xue
Transfer learning with partial related "instance-feature" knowledge. Neurocomputing 310 (2018)
Zhongfeng Liu, Yun Li, Wei Ji
Differential Private Ensemble Feature Selection. IJCNN (2018)
Jie Hang, Keji Han, Yun Li
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples. ICONIP (3) (2018)
Bin Xia, Yun Li, Qianmu Li, Tao Li
Attention-based recurrent neural network for location recommendation. ISKE (2017)
Wei Ji, Yixiang Huang, Baohua Qiang, Yun Li
Min-Max Ensemble Feature Selection. J. Intell. Fuzzy Syst. 33 (6) (2017)
Ke-Jia Chen, Shijun Xue, Yun Li, Bin Liu
On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning. ASONAM (2017)
Yu Wang, Bin Xia, Zheng Liu, Yun Li, Tao Li
Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. ISKE (2017)
Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue
Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. 98 (2017)
Ke-Jia Chen, Yang Chen, Yun Li, Jingyu Han
A supervised link prediction method for dynamic networks. J. Intell. Fuzzy Syst. 31 (1) (2016)
Wei Ji, Yun Li
Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble. ICASSP (2016)
Yun Li, Jun Yang, Wei Ji
Local learning-based feature weighting with privacy preservation. Neurocomputing 174 (2016)
Wei Ji, Yun Li, Ke-Jia Chen, Guojing Zhou
Local energy-based framework for feature ranking. J. Intell. Fuzzy Syst. 28 (4) (2015)
Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen
FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26 (7) (2015)
Ke-Jia Chen, Jingyu Han, Yun Li
HALLP: A Hybrid Active Learning Approach to Link Prediction Task. J. Comput. 9 (3) (2014)
Jun Yang, Yun Li
Differentially private feature selection. IJCNN (2014)
Yang Chen, Ke-Jia Chen, Yun Li
A Link Prediction Method That Can Learn from Network Dynamics. ICDM Workshops (2014)
Yun Li, Shasha Huang, Songcan Chen, Jennie Si
Stable L2-Regularized Ensemble Feature Weighting. MCS (2013)
Yun Li, Li-Li Feng
Integrating feature selection and Min-Max Modular SVM for powerful ensemble. IJCNN (2012)
Wei Ji, Yun Li
Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection. IET Signal Process. 6 (4) (2012)
Yun Li, Su-Yan Gao, Songcan Chen
Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI (2012)
Yun Li, Su-Yan Gao
Energy-Based Feature Selection and Its Ensemble Version. ICONIP (2) (2011)
Xiao-Min Xie, Yun Li
Bisecting data partitioning methods for Min-Max Modular Support Vector Machine. FSKD (2011)
Yun Li, Su-Jun Hu, Wen-Jie Yang, Guozi Sun, Fang-Wu Yao, Geng Yang
Similarity-Based Feature Selection for Learning from Examples with Continuous Values. PAKDD (2009)
Yun Li, Bao-Liang Lu, Teng-Fei Zhang
Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis. Int. J. Artif. Intell. Tools 18 (6) (2009)
Yun Li, Bao-Liang Lu
Feature selection based on loss-margin of nearest neighbor classification. Pattern Recognit. 42 (9) (2009)
Yun Li, Zhong-Fu Wu
Fuzzy feature selection based on min-max learning rule and extension matrix. Pattern Recognit. 41 (1) (2008)
Yun Li, Bao-Liang Lu, Zhong-Fu Wu
Hierarchical fuzzy filter method for unsupervised feature selection. J. Intell. Fuzzy Syst. 18 (2) (2007)
Yun Li, Bao-Liang Lu
Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule. VISUAL (2007)
Yun Li, Bao-Liang Lu, Zhong-Fu Wu
A Hybrid Method of Unsupervised Feature Selection Based on Ranking. ICPR (2) (2006)