Shuhan Yuan

发表

Incorporating pre-training in long short-term memory networks for tweet classification

Yang Xiang, Xintao Wu, Shuhan Yuan, 2016, Social Network Analysis and Mining.

Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process

Xintao Wu, Yubao Wu, Shuhan Yuan, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations

Xintao Wu, Shuhan Yuan, Depeng Xu, 2022, ArXiv.

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data

Shuhan Yuan, Depeng Xu, He Cheng, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process pdf

Xintao Wu, Yubao Wu, Shuhan Yuan, 2019, ArXiv.

FairGAN: Fairness-aware Generative Adversarial Networks

Lu Zhang, Xintao Wu, Depeng Xu, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Incorporating pre-training in long short-term memory networks for tweet classification

Xintao Wu, Shuhan Yuan, Yang Xiang, 2018, Social Network Analysis and Mining.

Using Dirichlet Marked Hawkes Processes for Insider Threat Detection

Xintao Wu, Shuhan Yuan, Panpan Zheng, 2021, Digital Threats: Research and Practice.

Predicting human design decisions with deep recurrent neural network combining static and dynamic data

Zhenghui Sha, Shuhan Yuan, Molla Hafizur Rahman, 2020, Design Science.

Achieving Differential Privacy and Fairness in Logistic Regression

Xintao Wu, Depeng Xu, Shuhan Yuan, 2019, WWW.

One-Class Adversarial Nets for Fraud Detection pdf

Jun Li, Xintao Wu, Aidong Lu, 2018, AAAI.

Achieving Causal Fairness through Generative Adversarial Networks

Xintao Wu, Depeng Xu, Lu Zhang, 2019, IJCAI.

Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation

Shuhan Yuan, Xiao Han, Shuhan Yuan, 2021, CIKM.

LogBERT: Log Anomaly Detection via BERT pdf

Xintao Wu, Shuhan Yuan, Haixuan Guo, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

SNE: Signed Network Embedding pdf

Yang Xiang, Xintao Wu, Shuhan Yuan, 2017, PAKDD.

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning pdf

Xintao Wu, Depeng Xu, Shuhan Yuan, 2019, 2021 IEEE International Conference on Big Data (Big Data).

An Empirical Study of Machine Learning Algorithms for Stock Daily Trading Strategy

Shuhan Yuan, Yang Xiang, Meizi Li, 2019, Mathematical Problems in Engineering.

On spectral analysis of directed signed graphs

Aidong Lu, Yuemeng Li, Xintao Wu, 2018, International Journal of Data Science and Analytics.

DPNE: Differentially Private Network Embedding

Xintao Wu, Depeng Xu, Shuhan Yuan, 2018, PAKDD.

Trustworthy Anomaly Detection: A Survey

Xintao Wu, Shuhan Yuan, Shuhan Yuan, 2022, ArXiv.

Robust Hate Speech Detection via Mitigating Spurious Correlations

Shuhan Yuan, Kshitiz Tiwari, Lu Zhang, 2022, AACL.

Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities pdf

Xintao Wu, Shuhan Yuan, Xintao Wu, 2020, Comput. Secur..

Task-specific Word Identification from Short Texts Using a Convolutional Neural Network

Yang Xiang, Xintao Wu, Shuhan Yuan, 2017, Intell. Data Anal..

A Two Phase Deep Learning Model for Identifying Discrimination from Tweets

Yang Xiang, Xintao Wu, Shuhan Yuan, 2016, EDBT.

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse

Shuhan Yuan, Yongkai Wu, Xiao Han, 2022, ArXiv.

SAFE: A Neural Survival Analysis Model for Fraud Early Detection

Xintao Wu, Shuhan Yuan, Panpan Zheng, 2018, AAAI.

Wikipedia Vandal Early Detection: From User Behavior to User Embedding

Yang Xiang, Xintao Wu, Shuhan Yuan, 2017, ECML/PKDD.

Differential Privacy Preserving Causal Graph Discovery

Xintao Wu, Depeng Xu, Shuhan Yuan, 2017, 2017 IEEE Symposium on Privacy-Aware Computing (PAC).

Explainable Sequential Anomaly Detection via Prototypes

Shuhan Yuan, Depeng Xu, He Cheng, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Few-shot Insider Threat Detection

Hanghang Tong, Xintao Wu, Shuhan Yuan, 2020, CIKM.

Contrastive Learning for Insider Threat Detection

Xintao Wu, Shuhan Yuan, M. Vinay, 2022, DASFAA.

FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets

Xintao Wu, Lu Zhang, Depeng Xu, 2019, 2019 IEEE International Conference on Big Data (Big Data).