CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction

M. Li, X. Cai, L. Li, S. Xu, and H. Ji. "Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction." CIKM, 2022.

BadPrompt: Backdoor Attacks on Continuous Prompts

X. Cai, H. Xu, S. Xu, and Y. Zhang. "BadPrompt: Backdoor Attacks on Continuous Prompts." Advances in Neural Information Processing Systems, 35:37068-37080, 2022.

Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction

M. Li, S. Xu, X. Cai, Z. Zhang, and H. Ji. "Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction." BIBM, 2022.

Metapath-Aggregated Heterogeneous Graph Neural Network for Drug-Target Interaction Prediction

M. Li, X. Cai, S. Xu, and H. Ji. "Metapath-Aggregated Heterogeneous Graph Neural Network for Drug-Target Interaction Prediction." Briefings in Bioinformatics, 24(1):bbac578, 2023.

LiDetector: License Incompatibility Detection for Open Source Software.

S. Xu, Y. Gao, L. Fan, Z. Liu, Y. Liu, and H. Ji. "LiDetector: License Incompatibility Detection for Open Source Software." ACM Transactions on Software Engineering and Methodology, 32(1):1-28, 2023.

CRSExtractor: Automated Configuration Option Read Sites Extraction towards IoT Cloud Infrastructure

Y. Liu, W. Wang, Y. Jia, S. Xu, and Z. Liu. "CRSExtractor: Automated Configuration Option Read Sites Extraction towards IoT Cloud Infrastructure." Heliyon, 9(4), 2023.

Real-Time Diagnosis of Configuration Errors for Software of AI Server Infrastructure

G. Xu, X. Ding, S. Xu, Y. Jia, S. Liu, S. Feng, and X. Zheng. "Real-Time Diagnosis of Configuration Errors for Software of AI Server Infrastructure." IEEE Transactions on Dependable and Secure Computing, 2023.

Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis

S. Yang, S. Chen, L. Fan, S. Xu, Z. Hui, and S. Huang. "Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis." ICSE, 2023.

LiResolver: License Incompatibility Resolution for Open Source Software

S. Xu, Y. Gao, L. Fan, L. Li, X. Cai, and Z. Liu. "LiResolver: License Incompatibility Resolution for Open Source Software." ISSTA, 2023.

LiSum: Open Source Software License Summarization with Multi-task Learning

L. Li, S. Xu, Y. Liu, Y. Gao, X. Cai, J. Wu, W. Song, and Z. Liu. "LiSum: Open Source Software License Summarization with Multi-task Learning." ASE, 2023.

Multi-Misconfiguration Diagnosis via Identifying Correlated Configuration Parameters

Y. Zhou, X. Hu, S. Xu, Y. Jia, Y. Liu, J. Wang, G. Xu, W. Wang, S. Liu, and T. Baker. "Multi-Misconfiguration Diagnosis via Identifying Correlated Configuration Parameters." IEEE Transactions on Software Engineering, 49(10):4624-4638, 2023.

Fuzzing Drone Control System Configurations Based on Quality-Diversity Enhanced Genetic Algorithm

Z. Chang, H. Zhang, Y. Yang, Y. Jia, S. Xu, T. Li, and Z. Liu. "Fuzzing Drone Control System Configurations Based on Quality-Diversity Enhanced Genetic Algorithm." AISec, 2023.

Low-Cost Fuzzing Drone Control System for Configuration Errors Threatening Flight Safety in Edge Terminals

Z. Chang, H. Zhang, Y. Jia, S. Xu, T. Li, and Z. Liu. "Low-Cost Fuzzing Drone Control System for Configuration Errors Threatening Flight Safety in Edge Terminals." Computer Communications, 220:138-148, 2024.

Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries

F. Zhang, L. Fan, S. Chen, M. Cai, S. Xu, and L. Zhao. "Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries." IEEE Transactions on Software Engineering, 50(11):2906-2920, 2024.

Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study

Z. Wang, S. Xu, L. Fan, X. Cai, L. Li, and Z. Liu. "Can Coverage Criteria Guide Failure Discovery for Image Classifiers? An Empirical Study." ACM Transactions on Software Engineering and Methodology, 33(7):1-28, 2024.

LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection

X. Cai, Y. Wang, S. Xu, H. Li, Y. Zhang, Z. Liu, and X. Yuan. "LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection." IEEE Transactions on Information Forensics and Security, 19:10157-10172, 2024.

GeoCo: Geographical Correlation Enhanced Network for POI Recommendation

X. Pan, X. Cai, S. Xu, Y. Zhang, P. Nie, and X. Yuan. "GeoCo: Geographical Correlation Enhanced Network for POI Recommendation." IEEE Transactions on Knowledge and Data Engineering, 36(12):8362-8376, 2024.

Rethinking Software Misconfigurations in the Real World: An Empirical Study and Literature Analysis

Y. Liu, Y. Zhou, H. Zhang, Z. Chang, S. Xu, Y. Jia, W. Wang, J. Hu, and Z. Liu. "Rethinking Software Misconfigurations in the Real World: An Empirical Study and Literature Analysis." arXiv:2412.11121, 2024.

LFT4POI: Multimodal POI Recommendation via Large Language Model Fine-Tuning

C. Zhang, Y. Zheng, X. Pan, S. Xu, and X. Cai. "LFT4POI: Multimodal POI Recommendation via Large Language Model Fine-Tuning." WISA, pp. 579-590, 2025.

RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning

Y. Wang, Y. Zhao, X. Jiao, S. Xu, X. Cai, Y. Zhang, and X. Yuan. "RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning." arXiv:2508.11472, 2025.

Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting

Z. Liu, X. Liu, S. Xu, Y. Qiao, Y. Zhang, and X. Cai. "Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting." arXiv:2601.04247, 2026.

ConceptDebias: Interpretable Bias Mitigation via Concept Decomposition in Deep Neural Networks

Z. Wang, S. Xu, and X. Cai. "ConceptDebias: Interpretable Bias Mitigation via Concept Decomposition in Deep Neural Networks." ICASSP, 2026.

Talks

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams