CV

Shuhan Yuan

Education

• Ph.D., Computer Science, Tongji University, 2017
• Visiting Ph.D. Student, University of Arkansas, Sep.2015–Aug.2017
• M.Eng., Computer Engineering, Huaqiao University, 2012
• B.Eng., Network Engineering, Huaqiao University, 2009

Work experience

• Tenure-track Assistant Professor, Utah State University, 2020-present
• Postdoctoral Researcher, University of Arkansas, 2018-2019

Publications

Shuhan Yuan and Xintao Wu. "Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities". Computer & Security, 2021.
Shuhan Yuan, Panpan Zheng, Xintao Wu, and Hanghang Tong. "Few-shot Insider Threat Detection." In the Proceedings of the 29th ACM International Conference on Information and Knowledge Management, 2020
Molla Hafizur Rahman, Shuhan Yuan, Charles Xie, and Zhenghui Sha. "Predicting human design decisions with deep recurrent neural network combining static and dynamic data." Design Science 6, 2020.
Shuhan Yuan, Panpan Zheng, Xintao Wu and Qinghua Li. "Insider Threat Detection via Hierarchical Neural Temporal Point Processes." In the Proceedings of 2019 IEEE International Conference on Big Data (BigData), 2019.
Depeng Xu, Shuhan Yuan, Lu Zhang, and Xintao Wu. "FairGAN+: Achieving Fair Data Generation and Fair Classification through Generative Adversarial Networks." In the Proceedings of 2019 IEEE International Conference on Big Data (BigData), 2019.
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu. "Achieving Causal Fairness through Generative Adversarial Networks." In the Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI, 2019.
Panpan Zheng, Shuhan Yuan, Xintao Wu. "SAFE: A Neural Survival Analysis Model for Fraud Early Detection." In the Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI, 2019.
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu. "One-Class Adversarial Nets for Fraud Detection." In the Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI, 2019.
Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan. "Dynamic Anomaly Detection Using Vector Autoregressive Model." In the Proceedings of 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019.
Depeng Xu, Shuhan Yuan, Xintao Wu. "Achieving Differential Privacy and Fairness in Logistic Regression." In the Proceedings of Companion Proceedings of The 2019 World Wide Web Conference, 2019.
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu. "FairGAN: Fairness-aware Generative Adversarial Networks." In the Proceedings of 2018 IEEE International Conference on Big Data (Big Data), 2018.
Shuhan Yuan, Xintao Wu, Yang Xiang. "Task-specific word identification from short texts using a convolutional neural network." Intelligent Data Analysis, 2018.
Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu. "On spectral analysis of directed signed graphs." International Journal of Data Science and Analytics, 2018.
Depeng Xu, Shuhan Yuan, Xintao Wu, HaiNhat Phan. "DPNE: Differentially Private Network Embedding." In the Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018.
Depeng Xu, Shuhan Yuan, Xintao Wu. "Differential Privacy Preserving Causal Graph Discovery." In the Proceedings of 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 2017.
Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang. "Wikipedia Vandal Early Detection: From User Behavior to User Embedding." In the Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2017.
Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu. "Spectrum-based Deep Neural Networks for Fraud Detection." In the Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017.
Shuhan Yuan, Xintao Wu, Yang Xiang, "SNE: Signed Network Embedding." In the Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017.
Shuhan Yuan, Xintao Wu, Yang Xiang, "Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification." In the Proceedings of 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016.
Shuhan Yuan, Xintao Wu, Yang Xiang. "A Two Phase Deep Learning Model for Identifying Discrimination from Tweets." In the Proceedings of the 19th International Conference on Extending Database Technology (EDBT), 2016.
Shuhan Yuan, Yang Xiang. "A Review on Lexical Semantic Representation (in Chinese)." Journal of Chinese Information Processing, 2016.
Shuhan Yuan, Yang Xiang, Maozhen Li. "A Knowledge Resources Based Neural Network for Learning Word and Relation Representations." In the proceedings of 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015.
Shuhan Yuan, Yang Xiang, Shijia E. "Text Big Data Content Understanding and Development Based on Feature Learning (in Chinese)." Big Data, 2015.
Shuhan Yuan, Weibin Chen, Shunkai Fu. "User behavior similarity analysis of location based social network (in Chinese)." Journal of Computer Applications, 2012.

Teaching

Spring 2020, CS 6665: Data Mining

Fall 2020, CS 5665: Introduction to Data Science

Spring 2021, CS 6665: Data Mining

Fall 2021, CS 5665: Introduction to Data Science

Service

• Journal Reviewer: International Journal of Data Science and Analytics (IJDSA), Social Network Analysis and Mining (SNAM), IEEE Transactions on Computational Social Systems (TCSS), IEEE Transactions on Fuzzy Systems (TFS), Journal of Intelligent Information Systems (JIIS), World Wide Web (WWW), Neural Computing and Applications (NCA), IEEE Access.
• Conference Program Committee Member: AAAI-18, AAAI-19, AAAI-20, CIKM-17, PAKDD-18, PAKDD-19, PAKDD-20
• Editorial Board of Frontiers in Big Data and AI