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Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction

Published in Proceedings of the 31st ACM International Conference on Information and Knowledge Management, 2022

A heterogeneous graph attention network for drug-target interaction prediction.

Recommended citation: 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

Published in Advances in Neural Information Processing Systems, 2022

Backdoor attacks on continuous prompts.

Recommended citation: 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. https://papers.nips.cc/paper_files/paper/2022/hash/f0722b58f02d7793acf7d328928f933a-Abstract-Conference.html

Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction

Published in IEEE International Conference on Bioinformatics and Biomedicine, 2022

Contrastive meta-learning for drug-target binding affinity prediction.

Recommended citation: 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

Published in Briefings in Bioinformatics, 2023

A metapath-aggregated heterogeneous graph neural network for drug-target interaction prediction.

Recommended citation: 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.

Published in ACM Transactions on Software Engineering and Methodology, 2023

This paper is about license incompatibility detection for open source software.

Recommended citation: 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. https://doi.org/10.1145/3546941

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

Published in Heliyon, 2023

Automated extraction of configuration option read sites for IoT cloud infrastructure.

Recommended citation: 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

Published in IEEE Transactions on Dependable and Secure Computing, 2023

Real-time diagnosis of configuration errors in AI server infrastructure software.

Recommended citation: 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

Published in 45th IEEE/ACM International Conference on Software Engineering, 2023

Path-sensitive semantic analysis for detecting Android app compatibility issues.

Recommended citation: 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

Published in Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

License incompatibility resolution for open source software.

Recommended citation: 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

Published in 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Open source software license summarization with multi-task learning.

Recommended citation: 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

Published in IEEE Transactions on Software Engineering, 2023

Diagnosis of multiple software misconfigurations by identifying correlated configuration parameters.

Recommended citation: 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. https://doi.org/10.1109/TSE.2023.3308755

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

Published in International Conference on Artificial Intelligence Security and Privacy, 2023

Fuzzing drone control system configurations using a quality-diversity enhanced genetic algorithm.

Recommended citation: 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

Published in Computer Communications, 2024

Low-cost fuzzing for drone control system configuration errors that threaten flight safety.

Recommended citation: 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

Published in IEEE Transactions on Software Engineering, 2024

This paper is about vulnerable API detection for third-party libraries.

Recommended citation: 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

Published in ACM Transactions on Software Engineering and Methodology, 2024

This paper is an empirical study about the test coverage criteria for DL systems.

Recommended citation: 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

Published in IEEE Transactions on Information Forensics and Security, 2024

This paper is about user behavior anomaly detection at activity level.

Recommended citation: 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

Published in IEEE Transactions on Knowledge and Data Engineering, 2024

A geographical correlation enhanced network for point-of-interest recommendation.

Recommended citation: 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. https://doi.org/10.1109/TKDE.2024.3440365

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

Published in arXiv preprint arXiv:2412.11121, 2024

An empirical study and literature analysis of real-world software misconfigurations.

Recommended citation: 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. https://arxiv.org/abs/2412.11121

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

Published in International Conference on Web Information Systems and Applications, 2025

Multimodal POI recommendation via large language model fine-tuning.

Recommended citation: 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

Published in arXiv preprint arXiv:2508.11472, 2025

Weakly-supervised insider threat detection with robust multi-sphere learning.

Recommended citation: 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. https://arxiv.org/abs/2508.11472

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

Published in arXiv preprint arXiv:2601.04247, 2026

Temporally decoupled backdoor attacks on time series forecasting.

Recommended citation: 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. https://arxiv.org/abs/2601.04247

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

Published in ICASSP 2026 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2026

Interpretable bias mitigation via concept decomposition in deep neural networks.

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

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.