Shuhan Yuan

发表

FairGAN: Fairness-aware Generative Adversarial Networks

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

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

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

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

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

Explainable Sequential Anomaly Detection via Prototypes

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

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).

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process pdf

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

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

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

One-Class Adversarial Nets for Fraud Detection pdf

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

Few-shot Anomaly Detection and Classification Through Reinforced Data Selection

Xintao Wu, Depeng Xu, Xiao Han, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

LogBERT: Log Anomaly Detection via BERT pdf

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

On spectral analysis of directed signed graphs

Xintao Wu, Yuemeng Li, Aidong Lu, 2016, International Journal of Data Science and Analytics.

Fraud Detection via Contrastive Positive Unlabeled Learning

Xintao Wu, Shuhan Yuan, Vinay M.S., 2022, 2022 IEEE International Conference on Big Data (Big Data).

Robust Fraud Detection via Supervised Contrastive Learning

Xintao Wu, Shuhan Yuan, M.S Vinay, 2023, 2023 IEEE International Conference on Big Data (BigData).

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

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

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data

Shuhan Yuan, Depeng Xu, He Cheng, 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.

SAFE: A Neural Survival Analysis Model for Fraud Early Detection

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

Achieving Differential Privacy and Fairness in Logistic Regression

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

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).

SNE: Signed Network Embedding pdf

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

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).

Achieving Causal Fairness through Generative Adversarial Networks

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

On Root Cause Localization and Anomaly Mitigation through Causal Inference

Yongkai Wu, Xiao Han, Lu Zhang, 2022, CIKM.

Differential Privacy Preserving Causal Graph Discovery

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

DPNE: Differentially Private Network Embedding

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

A Two Phase Deep Learning Model for Identifying Discrimination from Tweets

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

Trustworthy Anomaly Detection: A Survey

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

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

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