Yun Li

98 papers A* 4A 1B 10C 2Misc 5Journal 53Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
ProbsCut: enhancing adversarial robustness via global probability constraints.
Frontiers Comput. Sci.
Keji Han, Yao Ge, Yun Li
2025 J jnl
DLR: Adversarial examples detection and label recovery for deep neural networks.
Pattern Recognit. Lett.
Keji Han, Yao Ge, Ruchuan Wang, Yun Li
2025 J jnl
Enhancing biomedical named entity recognition with parallel boundary detection and category classification.
BMC Bioinform.
Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li
2025 J jnl
Fairness-aware feature selection: A causal path approach.
Knowl. Based Syst.
Wenqiong Zhang, Yun Li, Yue Liu
2025 A conf
FunLoc: A Novel Function-level Bug Localization Framework Enhanced by Contrastive and Active Learning Strategies.
CIKM
Ziye Zhu, Liangliang Peng, Yu Wang, Yun Li, Xianzhong Long
2025 J jnl
MNN: Mixed nearest-neighbors for self-supervised learning.
Pattern Recognit.
Xianzhong Long, Chen Peng, Yun Li
2025 J jnl
Rethinking the validity of perturbation in single-step adversarial training.
Pattern Recognit.
Yao Ge, Yun Li, Keji Han
2025 J jnl
Temporal characteristics-based adversarial attacks on time series forecasting.
Expert Syst. Appl.
Ziyu Shen, Yun Li
2024 J jnl
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks.
IEEE Trans. Dependable Secur. Comput.
Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu
2024 J jnl
Rethinking samples selection for contrastive learning: Mining of potential samples.
Knowl. Based Syst.
Hengkui Dong, Xianzhong Long, Yun Li
2024 J jnl
Synthetic Hard Negative Samples for Contrastive Learning.
Neural Process. Lett.
Hengkui Dong, Xianzhong Long, Yun Li
2023 A* conf
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training.
ICCV
Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
2023 — conf
Attribution of Adversarial Attacks via Multi-task Learning.
ICONIP (2)
Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji
2023 J jnl
BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network.
IEEE Trans. Knowl. Data Eng.
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
2023 J jnl
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting.
ACM Trans. Intell. Syst. Technol.
Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, Yun Li
2023 J jnl
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues.
CoRR
Chen Peng, Xianzhong Long, Yun Li
2023 J jnl
Multi-network Contrastive Learning Based on Global and Local Representations.
CoRR
Weiquan Li, Xianzhong Long, Yun Li
2023 J jnl
PM$^{2}$2VE: Power Metering Model for Virtualization Environments in Cloud Data Centers.
IEEE Trans. Cloud Comput.
Ziyu Shen, Xusheng Zhang, Zheng Liu, Yun Li
2023 J jnl
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples.
CoRR
Hengkui Dong, Xianzhong Long, Yun Li
2023 J jnl
Scalable Attribution of Adversarial Attacks via Multi-Task Learning.
CoRR
Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li
2023 J jnl
Synthetic Hard Negative Samples for Contrastive Learning.
CoRR
Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
2022 J jnl
(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal.
Pattern Recognit.
Keji Han, Bin Xia, Yun Li
2022 J jnl
A singular value decomposition representation based approach for robust face recognition.
Multim. Tools Appl.
Xianzhong Long, Zhiyi Zhang, Yun Li
2022 J jnl
Data characteristics aware prediction model for power consumption of data center servers.
Concurr. Comput. Pract. Exp.
Ziyu Shen, Qing Zhou, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li
2022 J jnl
Enhancing bug localization with bug report decomposition and code hierarchical network.
Knowl. Based Syst.
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
2022 J jnl
Multi-network contrastive learning of visual representations.
Knowl. Based Syst.
Xianzhong Long, Zhiyi Zhang, Yun Li
2022 J jnl
Nested Named Entity Recognition: A Survey.
ACM Trans. Knowl. Discov. Data
Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li
2022 J jnl
One-to-many comparative summarization for patents.
Scientometrics
Zheng Liu, Jialing Zhang, Tingting Qin, Yanwen Qu, Yun Li
2022 A* conf
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection?
ICDM
Yue Liu, Yun Li
2022 J jnl
Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Pengfei Liu, Yun Li
2022 J jnl
Towards better time series prediction with model-independent, low-dispersion clusters of contextual subsequence embeddings.
Knowl. Based Syst.
Zheng Liu, Jialing Zhang, Yun Li
2022 — conf
Transferable Interpolated Adversarial Attack with Random-Layer Mixup.
PAKDD (2)
Size Ma, Keji Han, Xianzhong Long, Yun Li
2021 J jnl
A deep multimodal model for bug localization.
Data Min. Knowl. Discov.
Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong
2021 J jnl
LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling.
Inf. Syst. Frontiers
Bin Xia, Yuxuan Bai, Junjie Yin, Yun Li, Jian Xu
2021 B conf
Scene Image Classification Based on Improved VLAD Reprensentation.
IJCNN
Zhiyi Zhang, Xianzhong Long, Yun Li
2021 C conf
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization.
KSEM
Ziye Zhu, Yu Wang, Yun Li
2020 — conf
A Way to Explore the Lower Bound of Adversarial Perturbation.
BigComp
Keji Han, Yuxuan Bai, Yun Li
2020 J jnl
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism.
IEEE ACM Trans. Audio Speech Lang. Process.
Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang
2020 B conf
Adversarial Named Entity Recognition with POS label embedding.
IJCNN
Yuxuan Bai, Yu Wang, Bin Xia, Yun Li, Ziye Zhu
2020 J jnl
Collaboratively Modeling and Embedding of Latent Topics for Short Texts.
IEEE Access
Zheng Liu, Tingting Qin, Ke-Jia Chen, Yun Li
2020 A* conf
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning.
IJCAI
Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
2020 — conf
DPAST-RNN: A Dual-Phase Attention-Based Recurrent Neural Network Using Spatiotemporal LSTMs for Time Series Prediction.
ICONIP (3)
Shajia Shan, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li
2020 — conf
Energy efficiency evaluation based on QoS parameter specification for cloud systems.
HPCC/DSS/SmartCity
Saiqin Long, Hao Yu, Zhetao Li, Shujuan Tian, Yun Li
2020 J jnl
Ensemble adversarial black-box attacks against deep learning systems.
Pattern Recognit.
Jie Hang, Keji Han, Hui Chen, Yun Li
2020 C conf
Estimating Power Consumption of Containers and Virtual Machines in Data Centers.
CLUSTER
Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li
2020 — conf
Explainable Software vulnerability detection based on Attention-based Bidirectional Recurrent Neural Networks.
IEEE BigData
Yi Mao, Yun Li, Jiatai Sun, Yixin Chen
2020 — conf
Graph Learning Regularized Non-negative Matrix Factorization for Image Clustering.
ICONIP (5)
Xianzhong Long, Jian Xiong, Yun Li
2020 — conf
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction.
EMNLP (1)
Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu
2020 J jnl
Is It Time to Redefine the Classification Task for Deep Neural Networks?
CoRR
Keji Han, Yun Li
2020 J jnl
Soft large margin clustering for unsupervised domain adaptation.
Knowl. Based Syst.
Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen
2020 J jnl
iBridge: Inferring bridge links that diffuse information across communities.
Knowl. Based Syst.
Ke-Jia Chen, Pei Zhang, Zinong Yang, Yun Li
2019 B conf
ADPR: An Attention-based Deep Learning Point-of-Interest Recommendation Framework.
IJCNN
Junjie Yin, Yun Li, Zheng Liu, Jian Xu, Bin Xia, Qianmu Li
2019 J jnl
Accelerating Wait-Free Algorithms: Pragmatic Solutions on Cache-Coherent Multicore Architectures.
IEEE Access
Junchang Wang, Qi Jin, Xiong Fu, Yun Li, Peichang Shi
2019 — conf
Adversarial Training Based Feature Selection.
SciSec
Binghui Liu, Keji Han, Jie Hang, Yun Li
2019 J jnl
Adversary resistant deep neural networks via advanced feature nullification.
Knowl. Based Syst.
Keji Han, Yun Li, Jie Hang
2019 Misc conf
Generative Networks for Adversarial Examples with Weighted Perturbations.
ISKE
Jing Guo, Wei Ji, Yun Li
2019 — conf
LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs.
SciSec
Bin Xia, Junjie Yin, Jian Xu, Yun Li
2019 — conf
Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network.
ISPA/BDCloud/SocialCom/SustainCom
Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li
2019 J jnl
On relationship formation in heterogeneous information networks: An inferring method based on multilabel learning.
Stat. Anal. Data Min.
Ke-Jia Chen, Hao Lu, Yun Li, Bin Liu
2019 — conf
PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers.
CBD
Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li, Saiqin Long
2019 — conf
SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition.
PAKDD (1)
Yu Wang, Yun Li, Ziye Zhu, Bin Xia, Zheng Liu
2019 — conf
Spike Sorting with Locally Weighted Co-association Matrix-Based Spectral Clustering.
PAKDD (Workshops)
Wei Ji, Zhenbin Li, Yun Li
2019 — conf
The Most Related Knowledge First: A Progressive Domain Adaptation Method.
PAKDD (Workshops)
Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue
2019 Misc conf
VLAD Encoding Based on LLC for Image Classification.
ICMLC
Cheng Cheng, Xianzhong Long, Yun Li
2019 J jnl
WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium.
Knowl. Based Syst.
Bin Xia, Junjie Yin, Jian Xu, Yun Li
2018 — conf
Delving into Diversity in Substitute Ensembles and Transferability of Adversarial Examples.
ICONIP (3)
Jie Hang, Keji Han, Yun Li
2018 B conf
Differential Private Ensemble Feature Selection.
IJCNN
Zhongfeng Liu, Yun Li, Wei Ji
2018 B conf
Image Clustering Based on Supervised Graph Regularized Discriminative Concept Factorization.
IJCNN
Xianzhong Long, Yun Li
2018 J jnl
Transfer learning with partial related "instance-feature" knowledge.
Neurocomputing
Yunyun Wang, Jie Zhai, Yun Li, Kejia Chen, Hui Xue
2017 Misc conf
Attention-based recurrent neural network for location recommendation.
ISKE
Bin Xia, Yun Li, Qianmu Li, Tao Li
2017 J jnl
Min-Max Ensemble Feature Selection.
J. Intell. Fuzzy Syst.
Wei Ji, Yixiang Huang, Baohua Qiang, Yun Li
2017 Misc conf
Named entity recognition for Chinese telecommunications field based on Char2Vec and Bi-LSTMs.
ISKE
Yu Wang, Bin Xia, Zheng Liu, Yun Li, Tao Li
2017 B conf
On Link Formation in Heterogeneous Information Networks: A View Based on Multi-Label Learning.
ASONAM
Ke-Jia Chen, Shijun Xue, Yun Li, Bin Liu
2017 J jnl
Recent advances in feature selection and its applications.
Knowl. Inf. Syst.
Yun Li, Tao Li, Huan Liu
2017 J jnl
Semi-supervised manifold regularization with adaptive graph construction.
Pattern Recognit. Lett.
Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue
2017 — conf
Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal.
ICONIP (2)
Xuedong Hou, Yun Li, Tao Li
2016 J jnl
A supervised link prediction method for dynamic networks.
J. Intell. Fuzzy Syst.
Ke-Jia Chen, Yang Chen, Yun Li, Jingyu Han
2016 B conf
Internet traffic classification based on Min-Max Ensemble Feature Selection.
IJCNN
Yinxiang Huang, Yun Li, Baohua Qiang
2016 J jnl
Local learning-based feature weighting with privacy preservation.
Neurocomputing
Yun Li, Jun Yang, Wei Ji
2016 Misc conf
Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble.
ICASSP
Wei Ji, Yun Li
2015 J jnl
FREL: A Stable Feature Selection Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen
2015 J jnl
Local energy-based framework for feature ranking.
J. Intell. Fuzzy Syst.
Wei Ji, Yun Li, Kejia Chen, Guojing Zhou
2014 — conf
A Link Prediction Method That Can Learn from Network Dynamics.
ICDM Workshops
Yang Chen, Ke-Jia Chen, Yun Li
2014 B conf
Differentially private feature selection.
IJCNN
Jun Yang, Yun Li
2014 J jnl
HALLP: A Hybrid Active Learning Approach to Link Prediction Task.
J. Comput.
Ke-Jia Chen, Jingyu Han, Yun Li
2013 — conf
Stable L2-Regularized Ensemble Feature Weighting.
MCS
Yun Li, Shasha Huang, Songcan Chen, Jennie Si
2012 J jnl
Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection.
IET Signal Process.
Wei Ji, Yun Li
2012 A* conf
Ensemble Feature Weighting Based on Local Learning and Diversity.
AAAI
Yun Li, Su-Yan Gao, Songcan Chen
2012 B conf
Integrating feature selection and Min-Max Modular SVM for powerful ensemble.
IJCNN
Yun Li, Li-Li Feng
2011 — conf
Bisecting data partitioning methods for Min-Max Modular Support Vector Machine.
FSKD
Xiao-Min Xie, Yun Li
2011 — conf
Energy-Based Feature Selection and Its Ensemble Version.
ICONIP (2)
Yun Li, Su-Yan Gao
2009 J jnl
Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis.
Int. J. Artif. Intell. Tools
Yun Li, Bao-Liang Lu, Tengfei Zhang
2009 J jnl
Feature selection based on loss-margin of nearest neighbor classification.
Pattern Recognit.
Yun Li, Bao-Liang Lu
2009 B conf
Similarity-Based Feature Selection for Learning from Examples with Continuous Values.
PAKDD
Yun Li, Su-Jun Hu, Wen-jie Yang, Guozi Sun, Fang-Wu Yao, Geng Yang
2008 J jnl
Fuzzy feature selection based on min-max learning rule and extension matrix.
Pattern Recognit.
Yun Li, Zhong-Fu Wu
2007 — conf
Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule.
VISUAL
Yun Li, Bao-Liang Lu
2007 J jnl
Hierarchical fuzzy filter method for unsupervised feature selection.
J. Intell. Fuzzy Syst.
Yun Li, Bao-Liang Lu, Zhong-Fu Wu
2006 — conf
A Hybrid Method of Unsupervised Feature Selection Based on Ranking.
ICPR (2)
Yun Li, Bao-Liang Lu, Zhong-Fu Wu