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Journal Articles
- 2024
[j7]Minquan Wang, Siyang Lu
, Sizhe Xiao, Dongdong Wang, Wei Xiang, Ningning Han, Liqiang Wang:
An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems. Int. J. Cooperative Inf. Syst. 33(2): 2350018:1-2350018:18 (2024)- 2023
- [j6]Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang:
Black-box attacks against log anomaly detection with adversarial examples. Inf. Sci. 619: 249-262 (2023) - [j5]Siyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang:
SSDLog: a semi-supervised dual branch model for log anomaly detection. World Wide Web (WWW) 26(5): 3137-3153 (2023) - 2022
- [j4]Xiangyuan Kong, Xiang Wei, Xiaoyu Liu, Jingjie Wang, Siyang Lu, Weiwei Xing, Wei Lu:
3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning. Knowl. Based Syst. 253: 109561 (2022) - 2021
- [j3]Xiang Wei, Xiaotao Wei, Xiangyuan Kong, Siyang Lu, Weiwei Xing, Wei Lu:
FMixCutMatch for semi-supervised deep learning. Neural Networks 133: 166-176 (2021) - 2020
- [j2]Xiaotao Wei, Xiang Wei, Weiwei Xing, Siyang Lu, Wei Lu:
An Incremental Self-Labeling Strategy for Semi-Supervised Deep Learning Based on Generative Adversarial Networks. IEEE Access 8: 8913-8921 (2020) - 2019
- [j1]Siyang Lu, Xiang Wei, Bingbing Rao, Byung-Chul Tak, Long Wang, Liqiang Wang:
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark. Future Gener. Comput. Syst. 95: 392-403 (2019)
Conference and Workshop Papers
- 2024
- [c17]Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei:
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models. CVPR 2024: 24534-24543 - [c16]Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. ECML/PKDD (6) 2024: 337-353 - 2023
- [c15]Dongdong Wang, Jingyao Xu, Siyang Lu, Xiang Wei, Liqiang Wang:
Ensemble Distillation for Out-of-distribution Detection. ICPADS 2023: 248-253 - [c14]Xiaoman Tan, Ningning Han, Siyang Lu, Wu Chen, Dongdong Wang:
SemLog: A Semantics-based Approach for Anomaly Detection in Big Data System Logs. ICPADS 2023: 1199-1206 - [c13]Xiaoyu Liu, Wei Xiang, Jingjie Wang, Siyang Lu, Weiwei Xing:
Class-Adaptive Threshold for Class Imbalanced Semi-Supervised Learning. ICPADS 2023: 1254-1261 - [c12]Haoran Li, Siyang Lu, Xiang Wei, Yingjun Qi:
Probing Handwritten Manchu Word Recognition Foundation Model. ICPADS 2023: 1262-1269 - [c11]Yuetong Lu, Jingyao Xu, Yandong Li, Siyang Lu, Wei Xiang, Wei Lu:
The Art of Deception: Black-box Attack Against Text-to-Image Diffusion Model. ICPADS 2023: 1270-1277 - [c10]Zaichao Lin, Siyang Lu, Ningning Han, Dongdong Wang, Xiang Wei, Mingquan Wang:
TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder. ICPADS 2023: 1371-1378 - 2022
- [c9]Zhiwei Wang, Siyang Lu, Mingquan Wang, Xiang Wei, Yingjun Qi:
AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset. ICONIP (2) 2022: 267-278 - [c8]Jingjie Wang, Xiang Wei, Siyang Lu, Mingquan Wang, Xiaoyu Liu, Wei Lu:
Redesign Visual Transformer For Small Datasets. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 401-408 - [c7]Dongdong Wang, Siyang Lu, Xiang Wei, Mingquan Wang, Yandong Li, Liqiang Wang:
APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 417-424 - [c6]Ningning Han, Siyang Lu, Dongdong Wang, Mingquan Wang, Xiaoman Tan, Xiang Wei:
SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 796-805 - [c5]Dongcai Du, Wei Zhao, Linna Wei, Siyang Lu, Xuangou Wu:
A Lightweight Homomorphic Encryption Federated Learning Based on Blockchain in IoV. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1001-1007 - 2021
- [c4]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CLOUD 2021: 433-444 - [c3]Siyang Lu, Yihong Chen, Xiaolin Zhu, Ziyi Wang, Yangjun Ou, Yuhang Xie:
Exploring Support Vector Machines for Big Data Analyses. CSSE 2021: 31-37 - 2018
- [c2]Siyang Lu, Xiang Wei, Yandong Li, Liqiang Wang:
Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network. DASC/PiCom/DataCom/CyberSciTech 2018: 151-158 - 2017
- [c1]Siyang Lu, BingBing Rao, Xiang Wei, Byung-Chul Tak, Long Wang, Liqiang Wang:
Log-based Abnormal Task Detection and Root Cause Analysis for Spark. ICWS 2017: 389-396
Informal and Other Publications
- 2024
- [i3]Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei:
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models. CoRR abs/2404.15081 (2024) - [i2]Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection. CoRR abs/2406.00734 (2024) - 2021
- [i1]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CoRR abs/2107.11536 (2021)
Coauthor Index
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last updated on 2024-10-16 20:29 CEST by the dblp team
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