Xiaoning Du

According to our database, Xiaoning Du authored at least 40 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Detecting and Explaining Python Name Errors.

Jiawei Wang, Li Li, Kui Liu, Xiaoning Du

Inf. Softw. Technol., 2025

2024

Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.

Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti

CoRR, 2024

LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems.

Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo

CoRR, 2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs.

Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo

CoRR, 2024

A Proactive and Dual Prevention Mechanism against Illegal Song Covers empowered by Singing Voice Conversion.

Guangke Chen, Yedi Zhang, Fu Song, Ting Wang, Xiaoning Du, Yang Liu

CoRR, 2024

Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.

Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Towards Demystifying Android Adware: Dataset and Payload Location.

Chao Wang, Tianming Liu, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation.

Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

FDI: Attack Neural Code Generation Systems through User Feedback Channel.

Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Testing Graph Database Systems with Graph-State Persistence Oracle.

Shuang Liu, Junhao Lan, Xiaoning Du, Jiyuan Li, Wei Lu, Jiajun Jiang, Xiaoyong Du

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

WasmCFuzz: Structure-aware Fuzzing for Wasm Compilers.

Xiangwei Zhang, Junjie Wang, Xiaoning Du, Shuang Liu

Proceedings of the IEEE/ACM International Workshop on Engineering and Cybersecurity of Critical Systems and Second IEEE/ACM International Workshop on Software Vulnerability, 2024

Detect Llama - Finding Vulnerabilities in Smart Contracts Using Large Language Models.

Peter Ince, Xiapu Luo, Jiangshan Yu, Joseph K. Liu, Xiaoning Du

Proceedings of the Information Security and Privacy - 29th Australasian Conference, 2024

2023

Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?

Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing, Jiamou Sun, Haowei Quan, Li Li, Liming Zhu

CoRR, 2023

Data Augmentation Approaches for Source Code Models: A Survey.

Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo

CoRR, 2023

FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler.

Junjie Wang, Zhiyi Zhang, Shuang Liu, Xiaoning Du, Junjie Chen

Proceedings of the 32nd USENIX Security Symposium, 2023

MATH - Finding and Fixing Exploits in Algorand.

Peter Ince, Xiapu Luo, Jiangshan Yu, Joseph K. Liu, Xiaoning Du

Proceedings of the 22nd IEEE International Conference on Trust, 2023

DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems.

Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models.

Zhensu Sun, Xiaoning Du, Fu Song, Li Li

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples.

Chao Ren, Xiaoning Du, Yan Xu, Qun Song, Yang Liu, Rui Tan

IEEE Trans. Smart Grid, 2022

Learning to Prevent Profitless Neural Code Completion.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li

CoRR, 2022

CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning.

Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems.

Haowei Quan, Jiawei Wang, Bo Li, Xiaoning Du, Kui Liu, Li Li

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

On the Importance of Building High-quality Training Datasets for Neural Code Search.

Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Trace-Length Independent Runtime Monitoring of Quantitative Policies.

Xiaoning Du, Alwen Tiu, Kun Cheng, Yang Liu

IEEE Trans. Dependable Secur. Comput., 2021

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.

Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, Yang Liu

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks.

Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards secure and robust stateful deep learning systems with model-based analysis

Xiaoning Du

PhD thesis, 2020

Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems.

Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Towards characterizing adversarial defects of deep learning software from the lens of uncertainty.

Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

DeepStellar: model-based quantitative analysis of stateful deep learning systems.

Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.

Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Quantitative Analysis Framework for Recurrent Neural Network.

Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Marvel: a generic, scalable and effective vulnerability detection platform.

Xiaoning Du

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Leopard: identifying vulnerable code for vulnerability assessment through program metrics.

Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems.

Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu

CoRR, 2018

Towards Building a Generic Vulnerability Detection Platform by Combining Scalable Attacking Surface Analysis and Directed Fuzzing.

Xiaoning Du

Proceedings of the Formal Methods and Software Engineering, 2018

2015

Trace-Length Independent Runtime Monitoring of Quantitative Policies in LTL.

Xiaoning Du, Yang Liu, Alwen Tiu

Proceedings of the FM 2015: Formal Methods, 2015