Siyang Lu

31 papers A* 1A 1B 7Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AWPD: Frequency Shield Network for Agnostic Watermark Presence Detection.
CoRR
Xiang Ao, Yiling Du, Zidan Wang, Mengru Chen, Siyang Lu
2026 J jnl
TraceHG: An Unsupervised Dual-View Framework for Microservice Anomaly Detection.
IEEE Trans. Serv. Comput.
Ningning Han, Siyang Lu, Zaichao Lin, Bin Li, Nan Wang, Xin Luo
2025 J jnl
A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model.
IEEE CAA J. Autom. Sinica
Ye Yuan, Siyang Lu, Xin Luo
2025 — conf
HeRF-AD: Robust Anomaly Detection for Software Systems via Heterogeneous Representation Fusion.
ICA3PP (4)
Xiaoman Tan, Bin Li, Siyang Lu, Wu Chen, Dongdong Wang
2024 J jnl
An Unsupervised Gradient-Based Approach for Real-Time Log Analysis From Distributed Systems.
Int. J. Cooperative Inf. Syst.
Minquan Wang, Siyang Lu, Sizhe Xiao, Dongdong Wang, Wei Xiang, Ningning Han, Liqiang Wang
2024 — conf
GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection.
ECML/PKDD (6)
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao
2024 J jnl
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection.
CoRR
Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao
2024 A* conf
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models.
CVPR
Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei
2024 J jnl
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models.
CoRR
Jingyao Xu, Yuetong Lu, Yandong Li, Siyang Lu, Dongdong Wang, Xiang Wei
2023 J jnl
Black-box attacks against log anomaly detection with adversarial examples.
Inf. Sci.
Siyang Lu, Mingquan Wang, Dongdong Wang, Xiang Wei, Sizhe Xiao, Zhiwei Wang, Ningning Han, Liqiang Wang
2023 B conf
Class-Adaptive Threshold for Class Imbalanced Semi-Supervised Learning.
ICPADS
Xiaoyu Liu, Wei Xiang, Jingjie Wang, Siyang Lu, Weiwei Xing
2023 B conf
Ensemble Distillation for Out-of-distribution Detection.
ICPADS
Dongdong Wang, Jingyao Xu, Siyang Lu, Xiang Wei, Liqiang Wang
2023 B conf
Probing Handwritten Manchu Word Recognition Foundation Model.
ICPADS
Haoran Li, Siyang Lu, Xiang Wei, Yingjun Qi
2023 J jnl
SSDLog: a semi-supervised dual branch model for log anomaly detection.
World Wide Web (WWW)
Siyang Lu, Ningning Han, Mingquan Wang, Xiang Wei, Zaichao Lin, Dongdong Wang
2023 B conf
SemLog: A Semantics-based Approach for Anomaly Detection in Big Data System Logs.
ICPADS
Xiaoman Tan, Ningning Han, Siyang Lu, Wu Chen, Dongdong Wang
2023 B conf
The Art of Deception: Black-box Attack Against Text-to-Image Diffusion Model.
ICPADS
Yuetong Lu, Jingyao Xu, Yandong Li, Siyang Lu, Wei Xiang, Wei Lu
2023 B conf
TransFlowLog: Log Anomaly Detection Based on Transformer Encoder and Interflow Decoder.
ICPADS
Zaichao Lin, Siyang Lu, Ningning Han, Dongdong Wang, Xiang Wei, Mingquan Wang
2022 J jnl
3LPR: A three-stage label propagation and reassignment framework for class-imbalanced semi-supervised learning.
Knowl. Based Syst.
Xiangyuan Kong, Xiang Wei, Xiaoyu Liu, Jingjie Wang, Siyang Lu, Weiwei Xing, Wei Lu
2022 — conf
A Lightweight Homomorphic Encryption Federated Learning Based on Blockchain in IoV.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Dongcai Du, Wei Zhao, Linna Wei, Siyang Lu, Xuangou Wu
2022 — conf
AMRE: An Attention-Based CRNN for Manchu Word Recognition on a Woodblock-Printed Dataset.
ICONIP (2)
Zhiwei Wang, Siyang Lu, Mingquan Wang, Xiang Wei, Yingjun Qi
2022 — conf
APR-ES: Adaptive Penalty-Reward Based Evolution Strategy for Deep Reinforcement Learning.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Dongdong Wang, Siyang Lu, Xiang Wei, Mingquan Wang, Yandong Li, Liqiang Wang
2022 — conf
Redesign Visual Transformer For Small Datasets.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Jingjie Wang, Xiang Wei, Siyang Lu, Mingquan Wang, Xiaoyu Liu, Wei Lu
2022 — conf
SKDLog: Self-Knowledge Distillation-based CNN for Abnormal Log Detection.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Ningning Han, Siyang Lu, Dongdong Wang, Mingquan Wang, Xiaoman Tan, Xiang Wei
2021 — conf
Exploring Support Vector Machines for Big Data Analyses.
CSSE
Siyang Lu, Yihong Chen, Xiaolin Zhu, Ziyi Wang, Yangjun Ou, Yuhang Xie
2021 J jnl
FMixCutMatch for semi-supervised deep learning.
Neural Networks
Xiang Wei, Xiaotao Wei, Xiangyuan Kong, Siyang Lu, Weiwei Xing, Wei Lu
2021 B conf
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CLOUD
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2021 J jnl
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CoRR
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2020 J jnl
An Incremental Self-Labeling Strategy for Semi-Supervised Deep Learning Based on Generative Adversarial Networks.
IEEE Access
Xiaotao Wei, Xiang Wei, Weiwei Xing, Siyang Lu, Wei Lu
2019 J jnl
LADRA: Log-based abnormal task detection and root-cause analysis in big data processing with Spark.
Future Gener. Comput. Syst.
Siyang Lu, Xiang Wei, Bingbing Rao, Byung-Chul Tak, Long Wang, Liqiang Wang
2018 — conf
Detecting Anomaly in Big Data System Logs Using Convolutional Neural Network.
DASC/PiCom/DataCom/CyberSciTech
Siyang Lu, Xiang Wei, Yandong Li, Liqiang Wang
2017 A conf
Log-based Abnormal Task Detection and Root Cause Analysis for Spark.
ICWS
Siyang Lu, Bingbing Rao, Xiang Wei, Byung-Chul Tak, Long Wang, Liqiang Wang