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Yun Li 0009
Person information
- affiliation: Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing, China
- affiliation: Nanjing University of Posts and Telecommunications, College of Computer Science, Nanjing, China
- affiliation (2005 - 2007): Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
- affiliation (PhD 2005): Chongqing University, China
Other persons with the same name
- Yun Li — disambiguation page
- Yun Li 0001
— Chongqing University of Post and Telecommunications, China (and 1 more)
- Yun Li 0002
- Yun Li 0003
- Yun Li 0004 — Mid Sweden University, Department of Information and Communication Systems, Sundsvall, Sweden
- Yun Li 0005
- Yun Li 0006
- Yun Li 0007 — Walmart Labs, San Bruno, CA, USA (and 1 more)
- Yun Li 0008
- Yun Li 0010
- Yun Li 0011 — Microsoft, Redmond, WA, USA (and 1 more)
- Yun Li 0012
- Yun Li 0013 — Queen Mary University of London, UK
- Yun Li 0014 — Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, CO, USA (and 1 more)
- Yun Li 0015
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2020 – today
- 2025
- [j42]Xianzhong Long, Chen Peng
MNN: Mixed nearest-neighbors for self-supervised learning. Pattern Recognit. 158: 110998 (2025) - [j41]Yao Ge
Rethinking the validity of perturbation in single-step adversarial training. Pattern Recognit. 158: 111007 (2025) - 2024
- [j40]Hengkui Dong, Xianzhong Long
Rethinking samples selection for contrastive learning: Mining of potential samples. Knowl. Based Syst. 299: 111979 (2024) - [j39]Hengkui Dong, Xianzhong Long, Yun Li:
Synthetic Hard Negative Samples for Contrastive Learning. Neural Process. Lett. 56(1): 33 (2024) - [j38]Deqiang Li
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. IEEE Trans. Dependable Secur. Comput. 21(2): 920-936 (2024) - 2023
- [j37]Ziyu Shen
PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. IEEE Trans. Cloud Comput. 11(3): 3126-3138 (2023) - [j36]Ziyu Shen
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. ACM Trans. Intell. Syst. Technol. 14(2): 24:1-24:20 (2023) - [j35]Ziye Zhu
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. 35(11): 11112-11125 (2023) - [i5]Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen:
Synthetic Hard Negative Samples for Contrastive Learning. CoRR abs/2304.02971 (2023) - [i4]Chen Peng, Xianzhong Long, Yun Li:
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues. CoRR abs/2305.05370 (2023) - [i3]Weiquan Li, Xianzhong Long, Yun Li:
Multi-network Contrastive Learning Based on Global and Local Representations. CoRR abs/2306.15930 (2023) - [i2]Hengkui Dong, Xianzhong Long, Yun Li:
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples. CoRR abs/2311.00358 (2023) - 2022
- [j34]Ziyu Shen
Data characteristics aware prediction model for power consumption of data center servers. Concurr. Comput. Pract. Exp. 34(11) (2022) - [j33]Zheng Liu
Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings. Knowl. Based Syst. 235: 107641 (2022) - [j32]Ziye Zhu
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248: 108741 (2022) - [j31]Xianzhong Long
Multi-network contrastive learning of visual representations. Knowl. Based Syst. 258: 109991 (2022) - [j30]Xianzhong Long
A singular value decomposition representation based approach for robust face recognition. Multim. Tools Appl. 81(6): 8283-8308 (2022) - [j29]Keji Han, Bin Xia
(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal. Pattern Recognit. 122: 108303 (2022) - [j28]Zheng Liu
One-to-many comparative summarization for patents. Scientometrics 127(4): 1969-1993 (2022) - [j27]Pengfei Liu
Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6086-6098 (2022) - [j26]Yu Wang
Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data 16(6): 108:1-108:29 (2022) - [c42]Yue Liu, Yun Li:
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? ICDM 2022: 1071-1076 - [c41]Size Ma, Keji Han, Xianzhong Long, Yun Li:
Transferable Interpolated Adversarial Attack with Random-Layer Mixup. PAKDD (2) 2022: 224-235 - 2021
- [j25]Ziye Zhu, Yun Li
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35(4): 1369-1392 (2021) - [j24]Bin Xia
LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling. Inf. Syst. Frontiers 23(2): 285-298 (2021) - [c40]Zhiyi Zhang, Xianzhong Long, Yun Li:
Scene Image Classification Based on Improved VLAD Reprensentation. IJCNN 2021: 1-8 - [c39]Ziye Zhu, Yu Wang
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization. KSEM 2021: 529-541 - 2020
- [j23]Zheng Liu
Collaboratively Modeling and Embedding of Latent Topics for Short Texts. IEEE Access 8: 99141-99153 (2020) - [j22]Ke-Jia Chen, Pei Zhang, Zinong Yang, Yun Li:
iBridge: Inferring bridge links that diffuse information across communities. Knowl. Based Syst. 192: 105249 (2020) - [j21]Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen:
Soft large margin clustering for unsupervised domain adaptation. Knowl. Based Syst. 192: 105344 (2020) - [j20]Jie Hang, Keji Han
Ensemble adversarial black-box attacks against deep learning systems. Pattern Recognit. 101: 107184 (2020) - [j19]Yu Wang
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2476-2488 (2020) - [c38]Keji Han, Yuxuan Bai, Yun Li:
A Way to Explore the Lower Bound of Adversarial Perturbation. BigComp 2020: 338-341 - [c37]Yi Mao, Yun Li, Jiatai Sun, Yixin Chen:
Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks. IEEE BigData 2020: 4651-4656 - [c36]Xusheng Zhang, Ziyu Shen, Bin Xia
Estimating Power Consumption of Containers and Virtual Machines in Data Centers. CLUSTER 2020: 288-293 - [c35]Yu Wang
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) 2020: 6027-6036 - [c34]Saiqin Long, Hao Yu, Zhetao Li, Shujuan Tian, Yun Li:
Energy efficiency evaluation based on QoS parameter specification for cloud systems. HPCC/DSS/SmartCity 2020: 27-34 - [c33]Xianzhong Long, Jian Xiong
Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering. ICONIP (5) 2020: 351-360 - [c32]Shajia Shan, Ziyu Shen, Bin Xia
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction. ICONIP (3) 2020: 568-578 - [c31]Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI 2020: 3565-3571 - [c30]Yuxuan Bai, Yu Wang
Adversarial Named Entity Recognition with POS label embedding. IJCNN 2020: 1-8 - [i1]Keji Han, Yun Li:
Is It Time to Redefine the Classification Task for Deep Neural Networks? CoRR abs/2010.05125 (2020)
2010 – 2019
- 2019
- [j18]Junchang Wang
Accelerating Wait-Free Algorithms: Pragmatic Solutions on Cache-Coherent Multicore Architectures. IEEE Access 7: 74653-74669 (2019) - [j17]Keji Han, Yun Li, Jie Hang:
Adversary resistant deep neural networks via advanced feature nullification. Knowl. Based Syst. 179: 108-116 (2019) - [j16]Bin Xia, Junjie Yin, Jian Xu, Yun Li:
WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium. Knowl. Based Syst. 182 (2019) - [j15]Ke-Jia Chen
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning. Stat. Anal. Data Min. 12(3): 157-167 (2019) - [c29]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: 13-18 - [c28]Cheng Cheng, Xianzhong Long, Yun Li:
VLAD Encoding Based on LLC for Image Classification. ICMLC 2019: 417-422 - [c27]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: 1-8 - [c26]Jing Guo, Wei Ji, Yun Li:
Generative Networks for Adversarial Examples with Weighted Perturbations. ISKE 2019: 778-784 - [c25]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: 194-201 - [c24]Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue:
The Most Related Knowledge First: A Progressive Domain Adaptation Method. PAKDD (Workshops) 2019: 90-102 - [c23]Yu Wang
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. PAKDD (1) 2019: 198-209 - [c22]Wei Ji, Zhenbin Li, Yun Li:
Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering. PAKDD (Workshops) 2019: 201-213 - [c21]Bin Xia, Junjie Yin, Jian Xu, Yun Li:
LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs. SciSec 2019: 61-76 - [c20]Binghui Liu, Keji Han, Jie Hang, Yun Li:
Adversarial Training Based Feature Selection. SciSec 2019: 92-105 - 2018
- [j14]Yunyun Wang, Jie Zhai, Yun Li, Kejia Chen, Hui Xue:
Transfer learning with partial related "instance-feature" knowledge. Neurocomputing 310: 115-124 (2018) - [c19]Jie Hang, Keji Han, Yun Li:
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples. ICONIP (3) 2018: 175-187 - [c18]Zhongfeng Liu, Yun Li, Wei Ji:
Differential Private Ensemble Feature Selection. IJCNN 2018: 1-6 - [c17]Xianzhong Long, Yun Li:
Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization. IJCNN 2018: 1-7 - 2017
- [j13]Wei Ji, Yixiang Huang, Baohua Qiang, Yun Li:
Min-Max Ensemble Feature Selection. J. Intell. Fuzzy Syst. 33(6): 3441-3450 (2017) - [j12]Yun Li, Tao Li, Huan Liu:
Recent advances in feature selection and its applications. Knowl. Inf. Syst. 53(3): 551-577 (2017) - [j11]Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue:
Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. 98: 90-95 (2017) - [c16]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: 50-53 - [c15]Xuedong Hou, Yun Li, Tao Li:
Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal. ICONIP (2) 2017: 603-611 - [c14]Yu Wang
Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs. ISKE 2017: 1-7 - [c13]Bin Xia, Yun Li, Qianmu Li, Tao Li:
Attention-based recurrent neural network for location recommendation. ISKE 2017: 1-6 - 2016
- [j10]Yun Li, Jun Yang, Wei Ji:
Local learning-based feature weighting with privacy preservation. Neurocomputing 174: 1107-1115 (2016) - [j9]Ke-Jia Chen, Yang Chen, Yun Li, Jingyu Han:
A supervised link prediction method for dynamic networks. J. Intell. Fuzzy Syst. 31(1): 291-299 (2016) - [c12]Wei Ji, Yun Li:
Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble. ICASSP 2016: 2264-2268 - [c11]Yinxiang Huang, Yun Li, Baohua Qiang:
Internet traffic classification based on Min-Max Ensemble Feature Selection. IJCNN 2016: 3485-3492 - 2015
- [j8]Wei Ji, Yun Li, Kejia Chen, Guojing Zhou:
Local energy-based framework for feature ranking. J. Intell. Fuzzy Syst. 28(4): 1565-1575 (2015) - [j7]Yun Li, Jennie Si
FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1388-1402 (2015) - 2014
- [j6]Ke-Jia Chen, Jingyu Han, Yun Li:
HALLP: A Hybrid Active Learning Approach to Link Prediction Task. J. Comput. 9(3): 551-556 (2014) - [c10]Yang Chen, Ke-Jia Chen, Yun Li:
A Link Prediction Method That Can Learn from Network Dynamics. ICDM Workshops 2014: 549-553 - [c9]Jun Yang, Yun Li:
Differentially private feature selection. IJCNN 2014: 4182-4189 - 2013
- [c8]Yun Li, Shasha Huang, Songcan Chen, Jennie Si
Stable L2-Regularized Ensemble Feature Weighting. MCS 2013: 167-178 - 2012
- [j5]Wei Ji, Yun Li:
Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection. IET Signal Process. 6(4): 300-305 (2012) - [c7]Yun Li, Su-Yan Gao, Songcan Chen:
Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI 2012: 1019-1025 - [c6]Yun Li, Li-Li Feng:
Integrating feature selection and Min-Max Modular SVM for powerful ensemble. IJCNN 2012: 1-8 - 2011
- [c5]Xiao-Min Xie, Yun Li:
Bisecting data partitioning methods for Min-Max Modular Support Vector Machine. FSKD 2011: 992-996 - [c4]Yun Li, Su-Yan Gao:
Energy-Based Feature Selection and Its Ensemble Version. ICONIP (2) 2011: 53-62
2000 – 2009
- 2009
- [j4]Yun Li, Bao-Liang Lu
Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis. Int. J. Artif. Intell. Tools 18(6): 883-904 (2009) - [j3]Yun Li, Bao-Liang Lu
Feature selection based on loss-margin of nearest neighbor classification. Pattern Recognit. 42(9): 1914-1921 (2009) - [c3]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: 957-964 - 2008
- [j2]Yun Li, Zhong-Fu Wu:
Fuzzy feature selection based on min-max learning rule and extension matrix. Pattern Recognit. 41(1): 217-226 (2008) - 2007
- [j1]Yun Li, Bao-Liang Lu, Zhong-Fu Wu:
Hierarchical fuzzy filter method for unsupervised feature selection. J. Intell. Fuzzy Syst. 18(2): 157-169 (2007) - [c2]Yun Li, Bao-Liang Lu
Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule. VISUAL 2007: 193-204 - 2006
- [c1]Yun Li, Bao-Liang Lu
A Hybrid Method of Unsupervised Feature Selection Based on Ranking. ICPR (2) 2006: 687-690
Coauthor Index
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