Shuhan Yuan

81 papers A* 9A 4B 8Misc 1Journal 35Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Algorithmic Recourse in Abnormal Multivariate Time Series.
Trans. Mach. Learn. Res.
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2026 J jnl
CellularSpecSec-Bench: A Staged Benchmark for Evidence-Grounded Interpretation and Security Reasoning over 3GPP Specifications.
CoRR
Ke Xie, Xingyi Zhao, Yiwen Hu, Shuhan Yuan, Tian Xie
2025 — conf
Backdoor Attack against Log Anomaly Detection Models.
WWW (Companion Volume)
He Cheng, Depeng Xu, Shuhan Yuan
2025 B conf
BadSAD: Clean-Label Backdoor Attacks Against Deep Semi-Supervised Anomaly Detection.
IEEE Big Data
He Cheng, Depeng Xu, Shuhan Yuan
2025 J jnl
BiasMap: Leveraging Cross-Attentions to Discover and Mitigate Hidden Social Biases in Text-to-Image Generation.
CoRR
Rajatsubhra Chakraborty, Xujun Che, Depeng Xu, Cori Faklaris, Xi Niu, Shuhan Yuan
2025 J jnl
CellSecInspector: Safeguarding Cellular Networks via Automated Security Analysis on Specifications.
CoRR
Ke Xie, Xingyi Zhao, Yiwen Hu, Munshi Saifuzzaman, Wen Li, Shuhan Yuan, Tian Xie, Guan-Hua Tu
2025 J jnl
Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward.
Knowl. Inf. Syst.
Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
2025 — conf
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation.
EMNLP (Findings)
Farsheed Haque, Zhe Fu, Depeng Xu, Shuhan Yuan, Xi Niu
2025 A* conf
Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery.
ICLR
Xiao Han, Saima Absar, Lu Zhang, Shuhan Yuan
2025 — ed.
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2025 Workshops, ADUR, FairPC, GLFM, PM4B and RAFDA, Sydney, NSW, Australia, June 10-13, 2025, Proceedings
PAKDD (Workshops)
Shuhan Yuan, Fragkiskos D. Malliaros, Xin Zheng
2024 — conf
Achieving Counterfactual Explanation for Sequence Anomaly Detection.
ECML/PKDD (8)
He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu
2024 — conf
Backdoor Attack Against One-Class Sequential Anomaly Detection Models.
PAKDD (3)
He Cheng, Shuhan Yuan
2024 J jnl
Backdoor Attack against One-Class Sequential Anomaly Detection Models.
CoRR
He Cheng, Shuhan Yuan
2024 J jnl
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection.
CoRR
He Cheng, Depeng Xu, Shuhan Yuan
2024 A* conf
Contrastive Learning for Fraud Detection from Noisy Labels.
ICDE
Vinay M. S., Shuhan Yuan, Xintao Wu
2024 A* conf
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization.
ICML
Xingyi Zhao, Depeng Xu, Shuhan Yuan
2024 — conf
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations.
NAACL-HLT (Findings)
Farsheed Haque, Depeng Xu, Shuhan Yuan
2024 J jnl
Editorial: Rising stars in data mining and management 2022.
Frontiers Big Data
Feng Chen, Shuhan Yuan, Jilin Hu, Cheng-Te Li, Rudy Raymond, Lidan Shou
2023 — conf
Achieving Counterfactual Fairness for Anomaly Detection.
PAKDD (1)
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023 J jnl
Achieving Counterfactual Fairness for Anomaly Detection.
CoRR
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023 J jnl
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series.
CoRR
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023 B conf
Explainable Sequential Anomaly Detection via Prototypes.
IJCNN
He Cheng, Depeng Xu, Shuhan Yuan
2023 B conf
LogGPT: Log Anomaly Detection via GPT.
IEEE Big Data
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
2023 J jnl
LogGPT: Log Anomaly Detection via GPT.
CoRR
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
2023 A conf
On Root Cause Localization and Anomaly Mitigation through Causal Inference.
CIKM
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2023 B conf
Robust Fraud Detection via Supervised Contrastive Learning.
IEEE Big Data
M. S. Vinay, Shuhan Yuan, Xintao Wu
2023 J jnl
Robust Fraud Detection via Supervised Contrastive Learning.
CoRR
Vinay M. S., Shuhan Yuan, Xintao Wu
2022 — conf
Coded Hate Speech Detection via Contextual Information.
PAKDD (1)
Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu
2022 — conf
Contrastive Learning for Insider Threat Detection.
DASFAA (1)
M. S. Vinay, Shuhan Yuan, Xintao Wu
2022 A* conf
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection.
ICDM
Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
2022 J jnl
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations.
CoRR
He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu
2022 B conf
Fraud Detection via Contrastive Positive Unlabeled Learning.
IEEE Big Data
Vinay M. S., Shuhan Yuan, Xintao Wu
2022 — conf
Generating Textual Adversaries with Minimal Perturbation.
EMNLP (Findings)
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
2022 J jnl
Generating Textual Adversaries with Minimal Perturbation.
CoRR
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
2022 J jnl
On Interpretable Anomaly Detection Using Causal Algorithmic Recourse.
CoRR
Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan
2022 A* conf
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning.
ICLR
Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross
2022 — conf
Robust Hate Speech Detection via Mitigating Spurious Correlations.
AACL/IJCNLP (2)
Kshitiz Tiwari, Shuhan Yuan, Lu Zhang
2022 Misc conf
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors.
ICASSP
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan
2022 J jnl
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors.
CoRR
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan
2022 B conf
Sequential Anomaly Detection with Local and Global Explanations.
IEEE Big Data
He Cheng, Depeng Xu, Shuhan Yuan
2022 J jnl
Trustworthy Anomaly Detection: A Survey.
CoRR
Shuhan Yuan, Xintao Wu
2022 J jnl
Using Dirichlet Marked Hawkes Processes for Insider Threat Detection.
DTRAP
Panpan Zheng, Shuhan Yuan, Xintao Wu
2021 J jnl
A novel self-learning feature selection approach based on feature attributions.
Expert Syst. Appl.
Jianting Chen, Shuhan Yuan, Dongdong Lv, Yang Xiang
2021 — conf
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning.
IEEE BigData
Depeng Xu, Shuhan Yuan, Xintao Wu
2021 J jnl
Deep learning for insider threat detection: Review, challenges and opportunities.
Comput. Secur.
Shuhan Yuan, Xintao Wu
2021 — conf
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process.
IEEE BigData
Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu
2021 — conf
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data.
IEEE BigData
Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan
2021 B conf
LogBERT: Log Anomaly Detection via BERT.
IJCNN
Haixuan Guo, Shuhan Yuan, Xintao Wu
2021 J jnl
LogBERT: Log Anomaly Detection via BERT.
CoRR
Haixuan Guo, Shuhan Yuan, Xintao Wu
2021 A conf
Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation.
CIKM
Xiao Han, Shuhan Yuan
2020 J jnl
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities.
CoRR
Shuhan Yuan, Xintao Wu
2020 A conf
Few-shot Insider Threat Detection.
CIKM
Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong
2019 A* conf
Achieving Causal Fairness through Generative Adversarial Networks.
IJCAI
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
2019 — conf
Achieving Differential Privacy and Fairness in Logistic Regression.
WWW (Companion Volume)
Depeng Xu, Shuhan Yuan, Xintao Wu
2019 J jnl
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning.
CoRR
Depeng Xu, Shuhan Yuan, Xintao Wu
2019 — conf
Dynamic Anomaly Detection Using Vector Autoregressive Model.
PAKDD (1)
Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan
2019 — conf
FairGAN
IEEE BigData
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2019 J jnl
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process.
CoRR
Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu
2019 — conf
Insider Threat Detection via Hierarchical Neural Temporal Point Processes.
IEEE BigData
Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li
2019 J jnl
Insider Threat Detection via Hierarchical Neural Temporal Point Processes.
CoRR
Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li
2019 A* conf
One-Class Adversarial Nets for Fraud Detection.
AAAI
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
2019 A* conf
SAFE: A Neural Survival Analysis Model for Fraud Early Detection.
AAAI
Panpan Zheng, Shuhan Yuan, Xintao Wu
2018 — conf
DPNE: Differentially Private Network Embedding.
PAKDD (2)
Depeng Xu, Shuhan Yuan, Xintao Wu, NhatHai Phan
2018 — conf
FairGAN: Fairness-aware Generative Adversarial Networks.
IEEE BigData
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2018 J jnl
FairGAN: Fairness-aware Generative Adversarial Networks.
CoRR
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
2018 J jnl
Incorporating pre-training in long short-term memory networks for tweet classification.
Soc. Netw. Anal. Min.
Shuhan Yuan, Xintao Wu, Yang Xiang
2018 J jnl
On spectral analysis of directed signed graphs.
Int. J. Data Sci. Anal.
Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu
2018 J jnl
One-Class Adversarial Nets for Fraud Detection.
CoRR
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
2018 J jnl
SAFE: A Neural Survival Analysis Model for Fraud Early Detection.
CoRR
Panpan Zheng, Shuhan Yuan, Xintao Wu
2018 J jnl
Task-specific word identification from short texts using a convolutional neural network.
Intell. Data Anal.
Shuhan Yuan, Xintao Wu, Yang Xiang
2017 — conf
Differential Privacy Preserving Causal Graph Discovery.
PAC
Depeng Xu, Shuhan Yuan, Xintao Wu
2017 — conf
SNE: Signed Network Embedding.
PAKDD (2)
Shuhan Yuan, Xintao Wu, Yang Xiang
2017 J jnl
SNE: Signed Network Embedding.
CoRR
Shuhan Yuan, Xintao Wu, Yang Xiang
2017 A conf
Spectrum-based Deep Neural Networks for Fraud Detection.
CIKM
Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
2017 J jnl
Spectrum-based deep neural networks for fraud detection.
CoRR
Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu
2017 J jnl
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network.
CoRR
Shuhan Yuan, Xintao Wu, Yang Xiang
2017 — conf
Wikipedia Vandal Early Detection: From User Behavior to User Embedding.
ECML/PKDD (1)
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang
2017 J jnl
Wikipedia Vandal Early Detection: from User Behavior to User Embedding.
CoRR
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang
2016 B conf
A Two Phase Deep Learning Model for Identifying Discrimination from Tweets.
EDBT
Shuhan Yuan, Xintao Wu, Yang Xiang
2016 A* conf
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification.
ICDM
Shuhan Yuan, Xintao Wu, Yang Xiang
2015 — conf
A Knowledge Resources Based Neural Network for Learning Word and Relation Representations.
HPCC/CSS/ICESS
Shuhan Yuan, Yang Xiang, Maozhen Li