Xiaoning Du

82 papers A* 15A 4B 2C 2Journal 48Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identifying and Mitigating API Misuse in Large Language Models.
IEEE Trans. Software Eng.
Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2026 J jnl
PatchFuzz: Patch fuzzing for JavaScript engines.
Inf. Softw. Technol.
Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang
2026 J jnl
The arts and crafts of android adware across a decade.
Autom. Softw. Eng.
Chao Wang, Tianming Liu, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang
2025 J jnl
An Empirical Study of Vulnerabilities in Python Packages and Their Detection.
CoRR
Haowei Quan, Junjie Wang, Xinzhe Li, Terry Yue Zhuo, Xiao Chen, Xiaoning Du
2025 — conf
Are iOS Apps Immune to Abusive Advertising Practices?
SIGSOFT FSE Companion
Tianming Liu, Jiapeng Deng, Yanjie Zhao, Xiao Chen, Xiaoning Du, Li Li, Haoyu Wang
2025 J jnl
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.
Proc. ACM Softw. Eng.
Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti
2025 J jnl
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution.
CoRR
Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025 J jnl
Bridging Developer Instructions and Code Completion Through Instruction-Aware Fill-in-the-Middle Paradigm.
CoRR
Zhensu Sun, Chengran Yang, Chao Peng, Pengfei Gao, Xiaoning Du, Li Li, David Lo
2025 J jnl
Detecting and Explaining Python Name Errors.
Inf. Softw. Technol.
Jiawei Wang, Li Li, Kui Liu, Xiaoning Du
2025 J jnl
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.
ACM Trans. Softw. Eng. Methodol.
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li, David Lo
2025 A* conf
FailMapper: Automated Generation of Unit Tests Guided by Failure Scenarios.
ASE
Ruiqi Dong, Zehang Deng, Xiaogang Zhu, Xiaoning Du, Huai Liu, Shaohua Wang, Sheng Wen, Yang Xiang
2025 J jnl
From Code to Courtroom: LLMs as the New Software Judges.
CoRR
Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025 C conf
GenDetect: Generative Large Language Model Usage in Smart Contract Vulnerability Detection.
ProvSec
Peter Ince, Jiangshan Yu, Joseph K. Liu, Xiaoning Du, Xiapu Luo
2025 J jnl
Generative Large Language Model usage in Smart Contract Vulnerability Detection.
CoRR
Peter Ince, Jiangshan Yu, Joseph K. Liu, Xiaoning Du
2025 J jnl
HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities.
CoRR
Xiaoxue Ren, Penghao Jiang, Kaixin Li, Zhiyong Huang, Xiaoning Du, Jiaojiao Jiang, Zhenchang Xing, Jiamou Sun, Terry Yue Zhuo
2025 J jnl
Identifying and Mitigating API Misuse in Large Language Models.
CoRR
Terry Yue Zhuo, Junda He, Jiamou Sun, Zhenchang Xing, David Lo, John C. Grundy, Xiaoning Du
2025 A* conf
Is MPC Secure? Leveraging Neural Network Classifiers to Detect Data Leakage Vulnerabilities in MPC Implementations.
SP
Guopeng Lin, Xiaoning Du, Lushan Song, Weili Han, Jin Tan, Junming Ma, Wenjing Fang, Lei Wang
2025 J jnl
LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead.
CoRR
Junda He, Jieke Shi, Terry Yue Zhuo, Christoph Treude, Jiamou Sun, Zhenchang Xing, Xiaoning Du, David Lo
2025 J jnl
LLMAID: Identifying AI Capabilities in Android Apps with LLMs.
CoRR
Pei Liu, Terry Yue Zhuo, Jiawei Deng, Thong James, Shidong Pan, Sherry Xu, Zhenchang Xing, Qinghua Lu, Xiaoning Du, Hongyu Zhang
2025 J jnl
No Bias Left Behind: Fairness Testing for Deep Recommender Systems Targeting General Disadvantaged Groups.
Proc. ACM Softw. Eng.
Zhuo Wu, Zan Wang, Chuan Luo, Xiaoning Du, Junjie Chen
2025 J jnl
Optimizing Knowledge Utilization for Multi-Intent Comment Generation with Large Language Models.
CoRR
Shuochuan Li, Zan Wang, Xiaoning Du, Zhuo Wu, Jiuqiao Yu, Junjie Chen
2025 J jnl
PTMPicker: Facilitating Efficient Pretrained Model Selection for Application Developers.
CoRR
Pei Liu, Yue Zhuo, Jiawei Deng, Zhenchang Xing, Qinghua Lu, Xiaoning Du, Hongyu Zhan
2025 J jnl
PatchFuzz: Patch Fuzzing for JavaScript Engines.
CoRR
Junjie Wang, Yuhan Ma, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang
2025 J jnl
PonziFinder: Attention-Based Edge-Enhanced Ponzi Contract Detection.
IEEE Trans. Reliab.
Yingying Chen, Bixin Li, Yan Xiao, Xiaoning Du
2025 J jnl
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis.
CoRR
Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun
2025 J jnl
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis.
IEEE Trans. Dependable Secur. Comput.
Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun
2025 A* conf
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers.
NDSS
Guangke Chen, Yedi Zhang, Fu Song, Ting Wang, Xiaoning Du, Yang Liu
2025 J jnl
The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget.
CoRR
Dangfeng Pan, Zhensu Sun, Cenyuan Zhang, David Lo, Xiaoning Du
2025 A* conf
Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand.
ASE
Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025 J jnl
Token Sugar: Making Source Code Sweeter for LLMs through Token-Efficient Shorthand.
CoRR
Zhensu Sun, Chengran Yang, Xiaoning Du, Zhou Yang, Li Li, David Lo
2025 J jnl
UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models.
CoRR
Lam Nguyen Tung, Xiaoning Du, Neelofar, Aldeida Aleti
2024 J jnl
A Proactive and Dual Prevention Mechanism against Illegal Song Covers empowered by Singing Voice Conversion.
CoRR
Guangke Chen, Yedi Zhang, Fu Song, Ting Wang, Xiaoning Du, Yang Liu
2024 J jnl
AI Coders Are Among Us: Rethinking Programming Language Grammar Towards Efficient Code Generation.
CoRR
Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024 A conf
AI Coders Are among Us: Rethinking Programming Language Grammar towards Efficient Code Generation.
ISSTA
Zhensu Sun, Xiaoning Du, Zhou Yang, Li Li, David Lo
2024 A conf
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
MSR
Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar
2024 J jnl
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
CoRR
Triet Huynh Minh Le, Xiaoning Du, Muhammad Ali Babar
2024 J jnl
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.
CoRR
Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti
2024 J jnl
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.
CoRR
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
2024 J jnl
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs.
CoRR
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
2024 — conf
Detect Llama - Finding Vulnerabilities in Smart Contracts Using Large Language Models.
ACISP (3)
Peter Ince, Xiapu Luo, Jiangshan Yu, Joseph K. Liu, Xiaoning Du
2024 J jnl
Detect Llama - Finding Vulnerabilities in Smart Contracts using Large Language Models.
CoRR
Peter Ince, Xiapu Luo, Jiangshan Yu, Joseph K. Liu, Xiaoning Du
2024 A conf
FDI: Attack Neural Code Generation Systems through User Feedback Channel.
ISSTA
Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li
2024 J jnl
FDI: Attack Neural Code Generation Systems through User Feedback Channel.
CoRR
Zhensu Sun, Xiaoning Du, Xiapu Luo, Fu Song, David Lo, Li Li
2024 J jnl
LLM as Runtime Error Handler: A Promising Pathway to Adaptive Self-Healing of Software Systems.
CoRR
Zhensu Sun, Haotian Zhu, Bowen Xu, Xiaoning Du, Li Li, David Lo
2024 A conf
Testing Graph Database Systems with Graph-State Persistence Oracle.
ISSTA
Shuang Liu, Junhao Lan, Xiaoning Du, Jiyuan Li, Wei Lu, Jiajun Jiang, Xiaoyong Du
2024 — conf
Towards Demystifying Android Adware: Dataset and Payload Location.
ASE Workshops
Chao Wang, Tianming Liu, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang
2024 — conf
WasmCFuzz: Structure-aware Fuzzing for Wasm Compilers.
EnCyCriS/SVM
Xiangwei Zhang, Junjie Wang, Xiaoning Du, Shuang Liu
2024 A* conf
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.
ICSE
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
2024 J jnl
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.
CoRR
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
2023 — conf
CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models.
ESEC/SIGSOFT FSE
Zhensu Sun, Xiaoning Du, Fu Song, Li Li
2023 J jnl
CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models.
CoRR
Zhensu Sun, Xiaoning Du, Fu Song, Li Li
2023 J jnl
Data Augmentation Approaches for Source Code Models: A Survey.
CoRR
Terry Yue Zhuo, Zhou Yang, Zhensu Sun, Yufei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo
2023 — conf
DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems.
ESEC/SIGSOFT FSE
Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen
2023 — conf
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.
ICSE Companion
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
2023 A* conf
FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler.
USENIX Security Symposium
Junjie Wang, Zhiyi Zhang, Shuang Liu, Xiaoning Du, Junjie Chen
2023 B conf
MATH - Finding and Fixing Exploits in Algorand.
TrustCom
Peter Ince, Xiapu Luo, Jiangshan Yu, Joseph K. Liu, Xiaoning Du
2023 J jnl
Pop Quiz! Do Pre-trained Code Models Possess Knowledge of Correct API Names?
CoRR
Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing, Jiamou Sun, Haowei Quan, Li Li, Liming Zhu
2022 — conf
Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems.
ISSRE Workshops
Haowei Quan, Jiawei Wang, Bo Li, Xiaoning Du, Kui Liu, Li Li
2022 A* conf
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning.
WWW
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li
2022 J jnl
Learning to Prevent Profitless Neural Code Completion.
CoRR
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
2022 A* conf
On the Importance of Building High-quality Training Datasets for Neural Code Search.
ICSE
Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li
2022 J jnl
On the Importance of Building High-quality Training Datasets for Neural Code Search.
CoRR
Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li
2022 J jnl
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples.
IEEE Trans. Smart Grid
Chao Ren, Xiaoning Du, Yan Xu, Qun Song, Yang Liu, Rui Tan
2021 J jnl
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning.
CoRR
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li
2021 A* conf
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks.
AAAI
Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun
2021 J jnl
Trace-Length Independent Runtime Monitoring of Quantitative Policies.
IEEE Trans. Dependable Secur. Comput.
Xiaoning Du, Alwen Tiu, Kun Cheng, Yang Liu
2021 A* conf
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.
SP
Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, Yang Liu
2020 A* conf
Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems.
ASE
Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao
2020 J jnl
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty.
CoRR
Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun
2020 A* conf
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty.
ICSE
Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun
2020 — —
Towards secure and robust stateful deep learning systems with model-based analysis
Xiaoning Du
2019 A* conf
A Quantitative Analysis Framework for Recurrent Neural Network.
ASE
Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao
2019 — conf
DeepStellar: model-based quantitative analysis of stateful deep learning systems.
ESEC/SIGSOFT FSE
Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao
2019 A* conf
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.
NeurIPS
Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu
2019 J jnl
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.
CoRR
Yaqin Zhou, Shangqing Liu, Jing Kai Siow, Xiaoning Du, Yang Liu
2019 J jnl
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics.
CoRR
Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang
2019 A* conf
Leopard: identifying vulnerable code for vulnerability assessment through program metrics.
ICSE
Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang
2019 — conf
Marvel: a generic, scalable and effective vulnerability detection platform.
ICSE (Companion Volume)
Xiaoning Du
2019 J jnl
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.
CoRR
Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, Yang Liu
2018 J jnl
DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems.
CoRR
Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu
2018 C conf
Towards Building a Generic Vulnerability Detection Platform by Combining Scalable Attacking Surface Analysis and Directed Fuzzing.
ICFEM
Xiaoning Du
2015 B conf
Trace-Length Independent Runtime Monitoring of Quantitative Policies in LTL.
FM
Xiaoning Du, Yang Liu, Alwen Tiu