Shuhan Yuan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 66

Top Topics

Anomaly Detection

Differential Privacy

Top Venues

Publications

Feng Chen, Shuhan Yuan, Jilin Hu, Cheng-Te Li, Rudy Raymond, Lidan Shou
Editorial: Rising stars in data mining and management 2022. Frontiers Big Data 6 (2024)
He Cheng, Shuhan Yuan
Backdoor Attack Against One-Class Sequential Anomaly Detection Models. PAKDD (3) (2024)
Vinay M. S., Shuhan Yuan, Xintao Wu
Contrastive Learning for Fraud Detection from Noisy Labels. ICDE (2024)
He Cheng, Shuhan Yuan
Backdoor Attack against One-Class Sequential Anomaly Detection Models. CoRR (2024)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Achieving Counterfactual Fairness for Anomaly Detection. CoRR (2023)
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
LogGPT: Log Anomaly Detection via GPT. CoRR (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
On Root Cause Localization and Anomaly Mitigation through Causal Inference. CIKM (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series. CoRR (2023)
Vinay M. S., Shuhan Yuan, Xintao Wu
Robust Fraud Detection via Supervised Contrastive Learning. CoRR (2023)
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
LogGPT: Log Anomaly Detection via GPT. BigData (2023)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
Achieving Counterfactual Fairness for Anomaly Detection. PAKDD (1) (2023)
He Cheng, Depeng Xu, Shuhan Yuan
Explainable Sequential Anomaly Detection via Prototypes. IJCNN (2023)
M. S. Vinay, Shuhan Yuan, Xintao Wu
Robust Fraud Detection via Supervised Contrastive Learning. BigData (2023)
Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM (2022)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
On Interpretable Anomaly Detection Using Causal Algorithmic Recourse. CoRR (2022)
Kshitiz Tiwari, Shuhan Yuan, Lu Zhang
Robust Hate Speech Detection via Mitigating Spurious Correlations. AACL/IJCNLP (2) (2022)
Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. ICLR (2022)
Vinay M. S., Shuhan Yuan, Xintao Wu
Fraud Detection via Contrastive Positive Unlabeled Learning. Big Data (2022)
Shuhan Yuan, Xintao Wu
Trustworthy Anomaly Detection: A Survey. CoRR (2022)
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. ICASSP (2022)
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) (2022)
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
Generating Textual Adversaries with Minimal Perturbation. CoRR (2022)
M. S. Vinay, Shuhan Yuan, Xintao Wu
Contrastive Learning for Insider Threat Detection. DASFAA (1) (2022)
He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR (2022)
He Cheng, Depeng Xu, Shuhan Yuan
Sequential Anomaly Detection with Local and Global Explanations. Big Data (2022)
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. CoRR (2022)
Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu
Coded Hate Speech Detection via Contextual Information. PAKDD (1) (2022)
Jianting Chen, Shuhan Yuan, Dongdong Lv, Yang Xiang
A novel self-learning feature selection approach based on feature attributions. Expert Syst. Appl. 183 (2021)
Shuhan Yuan, Xintao Wu
Deep learning for insider threat detection: Review, challenges and opportunities. Comput. Secur. 104 (2021)
Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData (2021)
Haixuan Guo, Shuhan Yuan, Xintao Wu
LogBERT: Log Anomaly Detection via BERT. IJCNN (2021)
Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. IEEE BigData (2021)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData (2021)
Haixuan Guo, Shuhan Yuan, Xintao Wu
LogBERT: Log Anomaly Detection via BERT. CoRR (2021)
Xiao Han, Shuhan Yuan
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. CIKM (2021)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong
Few-shot Insider Threat Detection. CIKM (2020)
Shuhan Yuan, Xintao Wu
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities. CoRR (2020)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR (2019)
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
One-Class Adversarial Nets for Fraud Detection. AAAI (2019)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. CoRR (2019)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. IEEE BigData (2019)
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI (2019)
Panpan Zheng, Shuhan Yuan, Xintao Wu
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. AAAI (2019)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData (2019)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) (2019)
Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan
Dynamic Anomaly Detection Using Vector Autoregressive Model. PAKDD (1) (2019)
Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process. CoRR (2019)
Shuhan Yuan, Xintao Wu, Yang Xiang
Task-specific word identification from short texts using a convolutional neural network. Intell. Data Anal. 22 (3) (2018)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData (2018)
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
One-Class Adversarial Nets for Fraud Detection. CoRR (2018)
Shuhan Yuan, Xintao Wu, Yang Xiang
Incorporating pre-training in long short-term memory networks for tweet classification. Soc. Netw. Anal. Min. 8 (1) (2018)
Panpan Zheng, Shuhan Yuan, Xintao Wu
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. CoRR (2018)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR (2018)
Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu
On spectral analysis of directed signed graphs. Int. J. Data Sci. Anal. 6 (2) (2018)
Depeng Xu, Shuhan Yuan, Xintao Wu, HaiNhat Phan
DPNE: Differentially Private Network Embedding. PAKDD (2) (2018)
Shuhan Yuan, Xintao Wu, Yang Xiang
SNE: Signed Network Embedding. PAKDD (2) (2017)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang
Wikipedia Vandal Early Detection: From User Behavior to User Embedding. ECML/PKDD (1) (2017)
Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
Spectrum-based Deep Neural Networks for Fraud Detection. CIKM (2017)
Shuhan Yuan, Xintao Wu, Yang Xiang
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network. CoRR (2017)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang
Wikipedia Vandal Early Detection: from User Behavior to User Embedding. CoRR (2017)
Depeng Xu, Shuhan Yuan, Xintao Wu
Differential Privacy Preserving Causal Graph Discovery. PAC (2017)
Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
Spectrum-based deep neural networks for fraud detection. CoRR (2017)
Shuhan Yuan, Xintao Wu, Yang Xiang
SNE: Signed Network Embedding. CoRR (2017)
Shuhan Yuan, Xintao Wu, Yang Xiang
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. ICDM (2016)
Shuhan Yuan, Xintao Wu, Yang Xiang
A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. EDBT (2016)
Shuhan Yuan, Yang Xiang, Maozhen Li
A Knowledge Resources Based Neural Network for Learning Word and Relation Representations. HPCC/CSS/ICESS (2015)