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ORCIDShuhan Yuan
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2020 – today
- 2024
[j7]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)- [c41]Vinay M. S., Shuhan Yuan, Xintao Wu:
Contrastive Learning for Fraud Detection from Noisy Labels. ICDE 2024: 1421-1434 - [c40]Xingyi Zhao, Depeng Xu, Shuhan Yuan:
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. ICML 2024 - [c39]Farsheed Haque, Depeng Xu, Shuhan Yuan:
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. NAACL-HLT (Findings) 2024: 1599-1614 - [c38]He Cheng, Shuhan Yuan:
Backdoor Attack Against One-Class Sequential Anomaly Detection Models. PAKDD (3) 2024: 262-274 - [c37]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Counterfactual Explanation for Sequence Anomaly Detection. ECML/PKDD (8) 2024: 19-35 - [i23]He Cheng, Shuhan Yuan:
Backdoor Attack against One-Class Sequential Anomaly Detection Models. CoRR abs/2402.10283 (2024) - [i22]He Cheng, Depeng Xu, Shuhan Yuan:
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection. CoRR abs/2412.13324 (2024) - 2023
- [c36]Xiao Han, Shuhan Yuan, Mohamed Trabelsi:
LogGPT: Log Anomaly Detection via GPT. IEEE Big Data 2023: 1117-1122 - [c35]M. S. Vinay, Shuhan Yuan, Xintao Wu:
Robust Fraud Detection via Supervised Contrastive Learning. IEEE Big Data 2023: 1279-1288 - [c34]Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
On Root Cause Localization and Anomaly Mitigation through Causal Inference. CIKM 2023: 699-708 - [c33]He Cheng, Depeng Xu, Shuhan Yuan:
Explainable Sequential Anomaly Detection via Prototypes. IJCNN 2023: 1-8 - [c32]Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
Achieving Counterfactual Fairness for Anomaly Detection. PAKDD (1) 2023: 55-66 - [i21]Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
Achieving Counterfactual Fairness for Anomaly Detection. CoRR abs/2303.02318 (2023) - [i20]Vinay M. S., Shuhan Yuan, Xintao Wu:
Robust Fraud Detection via Supervised Contrastive Learning. CoRR abs/2308.10055 (2023) - [i19]Xiao Han, Shuhan Yuan, Mohamed Trabelsi:
LogGPT: Log Anomaly Detection via GPT. CoRR abs/2309.14482 (2023) - [i18]Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series. CoRR abs/2309.16896 (2023) - 2022
- [j6]Panpan Zheng, Shuhan Yuan, Xintao Wu:
Using Dirichlet Marked Hawkes Processes for Insider Threat Detection. DTRAP 3(1): 5:1-5:19 (2022) - [c31]He Cheng, Depeng Xu, Shuhan Yuan:
Sequential Anomaly Detection with Local and Global Explanations. IEEE Big Data 2022: 1212-1217 - [c30]Vinay M. S., Shuhan Yuan, Xintao Wu:
Fraud Detection via Contrastive Positive Unlabeled Learning. IEEE Big Data 2022: 1475-1484 - [c29]M. S. Vinay, Shuhan Yuan, Xintao Wu:
Contrastive Learning for Insider Threat Detection. DASFAA (1) 2022: 395-403 - [c28]Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan:
Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) 2022: 4599-4606 - [c27]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: 6702-6706 - [c26]Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu:
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM 2022: 963-968 - [c25]Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross:
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. ICLR 2022 - [c24]Kshitiz Tiwari, Shuhan Yuan, Lu Zhang:
Robust Hate Speech Detection via Mitigating Spurious Correlations. AACL/IJCNLP (2) 2022: 51-56 - [c23]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: 93-105 - [i17]Shuhan Yuan, Xintao Wu:
Trustworthy Anomaly Detection: A Survey. CoRR abs/2202.07787 (2022) - [i16]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR abs/2210.04145 (2022) - [i15]Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan:
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors. CoRR abs/2211.03990 (2022) - [i14]Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan:
Generating Textual Adversaries with Minimal Perturbation. CoRR abs/2211.06571 (2022) - [i13]Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
On Interpretable Anomaly Detection Using Causal Algorithmic Recourse. CoRR abs/2212.04031 (2022) - 2021
- [j5]Shuhan Yuan, Xintao Wu:
Deep learning for insider threat detection: Review, challenges and opportunities. Comput. Secur. 104: 102221 (2021) - [j4]Jianting Chen, Shuhan Yuan, Dongdong Lv, Yang Xiang:
A novel self-learning feature selection approach based on feature attributions. Expert Syst. Appl. 183: 115219 (2021) - [c22]Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. IEEE BigData 2021: 581-589 - [c21]Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan:
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData 2021: 1183-1192 - [c20]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData 2021: 5474-5483 - [c19]Xiao Han, Shuhan Yuan:
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation. CIKM 2021: 3068-3072 - [c18]Haixuan Guo, Shuhan Yuan, Xintao Wu:
LogBERT: Log Anomaly Detection via BERT. IJCNN 2021: 1-8 - [i12]Haixuan Guo, Shuhan Yuan, Xintao Wu:
LogBERT: Log Anomaly Detection via BERT. CoRR abs/2103.04475 (2021) - 2020
- [c17]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [i11]Shuhan Yuan, Xintao Wu:
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities. CoRR abs/2005.12433 (2020)
2010 – 2019
- 2019
- [c16]Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. AAAI 2019: 1278-1285 - [c15]Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. AAAI 2019: 1286-1293 - [c14]Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. IEEE BigData 2019: 1343-1350 - [c13]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData 2019: 1401-1406 - [c12]Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu:
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI 2019: 1452-1458 - [c11]Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan:
Dynamic Anomaly Detection Using Vector Autoregressive Model. PAKDD (1) 2019: 600-611 - [c10]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) 2019: 594-599 - [i10]Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. CoRR abs/1910.03171 (2019) - [i9]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR abs/1911.04587 (2019) - [i8]Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process. CoRR abs/1911.04620 (2019) - 2018
- [j3]Shuhan Yuan, Xintao Wu, Yang Xiang:
Task-specific word identification from short texts using a convolutional neural network. Intell. Data Anal. 22(3): 533-550 (2018) - [j2]Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu:
On spectral analysis of directed signed graphs. Int. J. Data Sci. Anal. 6(2): 147-162 (2018) - [j1]Shuhan Yuan, Xintao Wu, Yang Xiang:
Incorporating pre-training in long short-term memory networks for tweet classification. Soc. Netw. Anal. Min. 8(1): 52:1-52:16 (2018) - [c9]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData 2018: 570-575 - [c8]Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan:
DPNE: Differentially Private Network Embedding. PAKDD (2) 2018: 235-246 - [i7]Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. CoRR abs/1803.01798 (2018) - [i6]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR abs/1805.11202 (2018) - [i5]Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. CoRR abs/1809.04683 (2018) - 2017
- [c7]Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
Spectrum-based Deep Neural Networks for Fraud Detection. CIKM 2017: 2419-2422 - [c6]Depeng Xu, Shuhan Yuan, Xintao Wu:
Differential Privacy Preserving Causal Graph Discovery. PAC 2017: 60-71 - [c5]Shuhan Yuan, Xintao Wu, Yang Xiang:
SNE: Signed Network Embedding. PAKDD (2) 2017: 183-195 - [c4]Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang:
Wikipedia Vandal Early Detection: From User Behavior to User Embedding. ECML/PKDD (1) 2017: 832-846 - [i4]Shuhan Yuan, Xintao Wu, Yang Xiang:
SNE: Signed Network Embedding. CoRR abs/1703.04837 (2017) - [i3]Shuhan Yuan, Xintao Wu, Yang Xiang:
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network. CoRR abs/1706.00884 (2017) - [i2]Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang:
Wikipedia Vandal Early Detection: from User Behavior to User Embedding. CoRR abs/1706.00887 (2017) - [i1]Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
Spectrum-based deep neural networks for fraud detection. CoRR abs/1706.00891 (2017) - 2016
- [c3]Shuhan Yuan, Xintao Wu, Yang Xiang:
A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. EDBT 2016: 696-697 - [c2]Shuhan Yuan, Xintao Wu, Yang Xiang:
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. ICDM 2016: 1329-1334 - 2015
- [c1]Shuhan Yuan, Yang Xiang, Maozhen Li:
A Knowledge Resources Based Neural Network for Learning Word and Relation Representations. HPCC/CSS/ICESS 2015: 1731-1736
Coauthor Index
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