Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu. PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks. IEEE Transactions on Dependable and Secure Computing, 2023
Ziyu Shen, Xusheng Zhang, Zheng Liu, Yun Li*. PM²VE: Power Metering Model for Virtualization Environments in Cloud Data Centers. IEEE Transactions on Cloud Computing, 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 Transactions on Intelligent Systems and Technology, 14(2): 1-20, 2023
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li*. BL-GAN: Semi-supervised Bug Localization via Generative Adversarial Network. IEEE Transactions on Knowledge and Data Engineering, 2022
Yue Liu, Yun Li*. Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? 2022 IEEE International Conference on Data Mining (ICDM), IEEE, 1071-1076, 2022
Size Ma, Keji Han, Xianzhong Long, Yun Li*. Transferable Interpolated Adversarial Attack with Random-Layer Mixup, Proceedings of 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2022, LNAI, p 224-235, 2022
Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li*. Enhancing bug localization with bug report decomposition and code hierarchical network, Knowledge-Based Systems, v 248, July 19, 2022
Ziyu Shen, Qing Zhou, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li*. Data characteristics aware prediction model for power consumption of data center servers, Concurrency and Computation: Practice and Experience, 34(11), May 15, 2022
Yu Wang, Hanghang Tong, Ziye Zhu,Yun Li*, Nested Named Entity Recognition: A Survey, ACM Transactions on Knowledge Discovery from Data, 16(6):1–29, December 2022
Keji Han, Bin Xia, Yun Li. (AD)^2: Adversarial Domain Adaptation to Defense with Adversarial Perturbation Removal, Pattern Recognition, 122：108303, 2022
Keji Han, Yun Li*, Songcan Chen, Is It Time to Redefine the Classification Task for Deep Learning Systems? International Conference on Machine Learning (ICML) Workshop AML, 2021
Ziye Zhu, Yu Wang, Yun Li*. TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization. International Conference on Knowledge Science, Engineering and Management, KSEM2021, 2021
Keji Han, Yun Li*, and Bin Xia, A Cascade Model-Aware Generative Adversarial Example Detection Method, TSINGHUA SCIENCE AND TECHNOLOGY,26(6):800-812, 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. Information System Frontiers, 23(2): 285-298, 2021
Ziye Zhu, Yun Li*, Yu Wang, Yaojing Wang, Hanghang Tong: A deep multimodal model for bug localization. Data Mining and Knowledge Discovery. 35(4): 1369-1392, 2021
Yuxuan Bai, Yu Wang, Bin Xia, Yun Li*, Ziye Zhu: Adversarial Named Entity Recognition with POS label embedding. International Joint Conference on Neural Networks, IJCNN 2020: 1-8, 2020
Yu Wang, Yun Li*, Hanghang Tong, Ziye Zhu: HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020: 6027-6036, 2020
Xusheng Zhang, Ziyu Shen, Bin Xia, Zheng Liu, Yun Li*: Estimating Power Consumption of Containers and Virtual Machines in Data Centers. IEEE International Conference on Cluster Computing, CLUSTER 2020: 288-293, 2020
Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen: Soft large margin clustering for unsupervised domain adaptation. Knowledge Based System,192: 105344, 2020
Yu Wang, Yun Li*, Ziye Zhu, Hanghang Tong, Yue Huang. Adversarial learning for multi-task sequence labeling with attention mechanism. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28: 2476-2488, 2020
Wei Ji, Jing Guo and Yun Li*. Multi-head mutual-attention CycleGAN for unpaired image-to-image translation. IET Image Processing, 14(11): 2395-2402, 2020.
Ziye Zhu, Yun Li*, Hanghang Tong and Yu Wang. CooBa: Cross-project bug localization via adversarial transfer learning. International Joint Conference on Artificial Intelligence (IJCAI), 3565-3571, 2020.
Keji Han, Yuxuan Bai and Yun Li*. A way to explore the lower bound of adversarial perturbation. IEEE International Conference on Big Data and Smart Computing (BigComp), Busan, Korea (South), 2020.2.19-.2020.2.22
石鑫盛,李云*.公平性机器学习中基于分类间隔的歧视样本发现和消除算法研究,中国科学: 信息科学, 50(8): 1255-1266,2020.
Jie Hang, Keji Han, Hui Chen and Yun Li*. Ensemble adversarial black-box attacks against deep learning systems. Pattern Recognition, v 101, 107184, 2020.
Yu Wang, Yun Li*, Ziye Zhu, Bin Xia, Zheng Liu: SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition. 23rd Pacific-Asia Conference Advances in Knowledge Discovery and Data Mining, PAKDD 2019: 198-209, 2019.
Ziyu Shen, Xusheng Zhang, Bin Xia, Zheng Liu, Yun Li*:Multi-Granularity Power Prediction for Data Center Operations via Long Short-Term Memory Network. IEEE Intl Conf. on Parallel & Distributed Processing with Applications, ISPA 2019: 194-201, 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. Seventh International Conference on Advanced Cloud and Big Data, CBD 2019: 13-18, 2019
Bin Xia, Junjie Yin, Jian Xu, Yun Li: WE-Rec: A fairness-aware reciprocal recommendation based on Walrasian equilibrium. Knowledge Based Systems. 182 ,2019
Binghui Liu, Keji Han, Jie Hang and Yun Li*. Adversarial training based feature selection. International Conference on Science of Cyber Security (SciSec), Nanjing, China, 2019.8.9-2019.8.11.
Jing Guo, Wei Ji and Yun Li*. Generative networks for adversarial examples with weighted perturbations, IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2019), Dalian, China, 2019.11.14-2019.11.16
Keji Han, Yun Li* and Jie Hang. Adversary resistant deep neural networks via advanced feature nullification, Knowledge-Based Systems, 179:108-116, 2019.
Zhongfeng Liu, Yun Li and Wei Ji*. Differential private ensemble feature selection, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 2018.7.8-7.13.
Miaomiao Wu and Yun Li*. Adversarial mRMR against evasion attacks, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 2018.7.8-7.13.
Wei Ji, Yixiang Huang, Baohua Qiang and Yun Li*. Min-max ensemble feature selection. Journal of Intelligent & Fuzzy Systems, 33(6):3441-3450, 2017.
Yun Li, Tao Li and Huan Liu. Recent advances in feature selection and its applications. Knowledge and Information Systems, 53(3): 551-577, 2017.
Yun Li, Jun Yang and Wei Ji. Local learning-based feature weighting with privacy preservation. Neurocomputing, 174:1107-1115, 2016.
Wei Ji and Yun Li*. Stable dysphonia measures selection for Parkinson speech rehabilitation via diversity regularized ensemble feature selection. 41st IEEE International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2016), Shanghai, P. R. China, 2016.3.20-3.25.
Yixiang Huang, Yun Li* and Baohua Qiang. Internet traffic classification based on min-max ensemble feature selection, International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 2016.7.24-2016.7.29
Peng Yan and Yun Li*. Graph-Margin based multi-label feature selection. European Conference on Machine Learning (ECML 2016), Riva del Garda, Italy, 2016.9.19-9.23.
Wei Ji, Yun Li*, Kejia Chen and Guojing Zhou. Local energy-based framework for feature ranking. Journal of Intelligent & Fuzzy Systems, 28:1565-1575, 2015.
Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen. FREL: A stable feature selection algorithm. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(7):1388-1402.
Yanping Wu and Yun Li*: Semi-supervised min-max modular SVM, International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015.7.11-2015.7.16
余艺,吴家皋,李云*.基于随机子空间的最小最大模块化支持向量机,模式识别与人工智能, 27(2): 153-159, 2014
Jun Yang and Yun Li*. Differentially private feature selection, International Joint Conference on Neural Networks (IJCNN), Beijing, China, 2014.7.6-2014.7.11
Yun Li, Shasha Huang, Songcan Chen and Jennie Si. Stable L2-regularized ensemble feature weighting, International Workshop on Multiple Classifier Systems (MCS), Nanjing, China, 2013.5.15-2013.5.17
Wei Ji and Yun Li. Energy-based feature ranking for assessing the dysphonia measurements in Parkinson detection. IET Signal Processing, 6(4): 300-305, 2012.
Yun Li, Suyan Gao and Songcan Chen. Ensemble feature weighting based on local learning and diversity. Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Toronto, Canada, 2012.7.22-2012.7.26.
Yun Li and Lili Feng. Integrating feature selection and min-max modular SVM for powerful ensemble, International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, 2012.6.10-2012.6.15
Yun Li and Suyan Gao. Energy-based feature selection and its ensemble version, International Conference on Neural Information Processing (ICONIP), Shanghai, China, 2011.11.13-2011.11.18
Yun Li, Sujun Hu, Wenjie Yang, Guozi Sun, Fangwu Yao and Geng Yang. Similarity-based feature selection for learning from examples with continuous values, 13th Pacific-Asia Conference on Knowledge and Data Mining(PAKDD), Bangkok, Thailand, 2009.4.27-2009.4.30
Yun Li, Baoliang Lu and Teng-Fei Zhang. Combining feature selection with extraction: unsupervised feature selection based on principal component analysis, International Journal on Artificial Intelligence Tools, 18(6): 883-904, 2009
Yun Li and Bao-Liang Lu. Feature selection based on loss-margin of nearest neighbor classification, Pattern Recognition, 42(9), 1914-1921, 2009.
Yun Li and Zhong-Fu Wu. Fuzzy feature selection based on min-max learning rule and extension matrix, Pattern Recognition, 41(1), 217-226, 2008.
Yun Li, Baoliang Lu and Zhongfu Wu. A hybrid method of unsupervised feature selection based on ranking, International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006.9.3-2006.9.7