Shuhan Yuan

According to our database, Shuhan Yuan authored at least 54 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Editorial: Rising stars in data mining and management 2022.

Feng Chen, Shuhan Yuan, Jilin Hu, Cheng-Te Li, Rudy Raymond, Lidan Shou

Frontiers Big Data, 2024

Achieving Counterfactual Explanation for Sequence Anomaly Detection.

He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Backdoor Attack Against One-Class Sequential Anomaly Detection Models.

He Cheng, Shuhan Yuan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations.

Farsheed Haque, Depeng Xu, Shuhan Yuan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization.

Xingyi Zhao, Depeng Xu, Shuhan Yuan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Learning for Fraud Detection from Noisy Labels.

Vinay M. S., Shuhan Yuan, Xintao Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Algorithmic Recourse for Anomaly Detection in Multivariate Time Series.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

CoRR, 2023

Robust Fraud Detection via Supervised Contrastive Learning.

Vinay M. S., Shuhan Yuan, Xintao Wu

CoRR, 2023

Achieving Counterfactual Fairness for Anomaly Detection.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Explainable Sequential Anomaly Detection via Prototypes.

He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

On Root Cause Localization and Anomaly Mitigation through Causal Inference.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Fraud Detection via Supervised Contrastive Learning.

M. S. Vinay, Shuhan Yuan, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2023

LogGPT: Log Anomaly Detection via GPT.

Xiao Han, Shuhan Yuan, Mohamed Trabelsi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Using Dirichlet Marked Hawkes Processes for Insider Threat Detection.

Panpan Zheng, Shuhan Yuan, Xintao Wu

DTRAP, 2022

On Interpretable Anomaly Detection Using Causal Algorithmic Recourse.

Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan

CoRR, 2022

Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations.

He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu

CoRR, 2022

Trustworthy Anomaly Detection: A Survey.

Shuhan Yuan, Xintao Wu

CoRR, 2022

Coded Hate Speech Detection via Contextual Information.

Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Robust Hate Speech Detection via Mitigating Spurious Correlations.

Kshitiz Tiwari, Shuhan Yuan, Lu Zhang

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning.

Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross

Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-shot Anomaly Detection and Classification Through Reinforced Data Selection.

Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the IEEE International Conference on Data Mining, 2022

Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors.

Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan

Proceedings of the IEEE International Conference on Acoustics, 2022

Generating Textual Adversaries with Minimal Perturbation.

Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Contrastive Learning for Insider Threat Detection.

M. S. Vinay, Shuhan Yuan, Xintao Wu

Proceedings of the Database Systems for Advanced Applications, 2022

Fraud Detection via Contrastive Positive Unlabeled Learning.

Vinay M. S., Shuhan Yuan, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022

Sequential Anomaly Detection with Local and Global Explanations.

He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A novel self-learning feature selection approach based on feature attributions.

Jianting Chen, Shuhan Yuan, Dongdong Lv, Yang Xiang

Expert Syst. Appl., 2021

Deep learning for insider threat detection: Review, challenges and opportunities.

Shuhan Yuan, Xintao Wu

Comput. Secur., 2021

LogBERT: Log Anomaly Detection via BERT.

Haixuan Guo, Shuhan Yuan, Xintao Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation.

Xiao Han, Shuhan Yuan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process.

Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data.

Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Few-shot Insider Threat Detection.

Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process.

Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu

CoRR, 2019

Achieving Differential Privacy and Fairness in Logistic Regression.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Dynamic Anomaly Detection Using Vector Autoregressive Model.

Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Achieving Causal Fairness through Generative Adversarial Networks.

Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Insider Threat Detection via Hierarchical Neural Temporal Point Processes.

Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SAFE: A Neural Survival Analysis Model for Fraud Early Detection.

Panpan Zheng, Shuhan Yuan, Xintao Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

One-Class Adversarial Nets for Fraud Detection.

Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Shuhan Yuan, Xintao Wu, Yang Xiang

Soc. Netw. Anal. Min., 2018

On spectral analysis of directed signed graphs.

Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu

Int. J. Data Sci. Anal., 2018

Task-specific word identification from short texts using a convolutional neural network.

Shuhan Yuan, Xintao Wu, Yang Xiang

Intell. Data Anal., 2018

DPNE: Differentially Private Network Embedding.

Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

FairGAN: Fairness-aware Generative Adversarial Networks.

Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Wikipedia Vandal Early Detection: From User Behavior to User Embedding.

Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

SNE: Signed Network Embedding.

Shuhan Yuan, Xintao Wu, Yang Xiang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Differential Privacy Preserving Causal Graph Discovery.

Depeng Xu, Shuhan Yuan, Xintao Wu

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

Spectrum-based Deep Neural Networks for Fraud Detection.

Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification.

Shuhan Yuan, Xintao Wu, Yang Xiang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A Two Phase Deep Learning Model for Identifying Discrimination from Tweets.

Shuhan Yuan, Xintao Wu, Yang Xiang

Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015

A Knowledge Resources Based Neural Network for Learning Word and Relation Representations.

Shuhan Yuan, Yang Xiang, Maozhen Li

Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015