Xiaofei Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
34
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*ICSE16 papers
- AISSTA8 papers
- A*AAAI7 papers
- A*KDD4 papers
- A*CCS3 papers
- A*EMNLP3 papers
- AISSRE3 papers
- A*IJCAI3 papers
- NationalTASE3 papers
- A*ACL2 papers
- A*ICLR2 papers
- BICECCS2 papers
- ADATE1 paper
- A*ICDE1 paper
- A*NDSS1 paper
- A*SIGIR1 paper
- A*WWW1 paper
- A*SP1 paper
- CAIES1 paper
- A*DAC1 paper
- AACSAC1 paper
- BCAIN1 paper
- A*CVPR1 paper
- A*ICDM1 paper
- AMSR1 paper
- AAsiaCCS1 paper
- A*ICCV1 paper
- A*ICML1 paper
- CAPSEC1 paper
- A*ECCV1 paper
- BIJCNN1 paper
- AICST1 paper
- CQRS1 paper
- BSMC1 paper
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation. | Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Yuanzhe Hu, Qing Wang, Fanjiang Xu |
| 2026 | AAAI | From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning. | Weipeng Jiang, Juan Zhai, Shiqing Ma, Ziyan Lei, Xiaofei Xie, Yige Wang, Chao Shen |
| 2026 | ACL | Where Did It Go Wrong? Capability-Oriented Failure Attribution for Vision-and-Language Navigation Agents. | Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Shoubin Li, Qing Wang, Fanjiang Xu |
| 2026 | DATE | Enhance Language Model-based Repair for Memory-related Vulnerabilities via Knowledge-and Semantic-guided Analysis. | Hao Shen, Ming Hu, Yanxin Yang, Xiaofei Xie, Mingsong Chen |
| 2026 | ICDE | AdaFedRec: Adaptive Heterogeneous Federated Recommender Systems Across Multi-Device Users. | Zhenkai Li, Ming Hu, Chentao Jia, Yining Sun, Zhufeng Lu, Mingyang Yu, Yanxin Yang, Xiaofei Xie, Mingsong Chen |
| 2026 | KDD | Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype. | Mingsheng Cao, Tianci Chen, Ming Hu, Zhuang Qi, Yangguang Cui, Junlong Zhou, Xiaofei Xie |
| 2026 | NDSS | Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation. | Jiongchi Yu, Xiaofei Xie, Qiang Hu, Yuhan Ma, Ziming Zhao |
| 2026 | SIGIR | PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs. | Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao |
| 2025 | AAAI | Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning. | Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu |
| 2025 | AAAI | MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. | Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen |
| 2025 | CCS | FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning. | Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, Mingsong Chen |
| 2025 | EMNLP | Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models. | Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Yi Li |
| 2025 | EMNLP | MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation. | Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li |
| 2025 | ICSE | Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems. | Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Junjie Wang, Guozhu Meng, Kairui Yang |
| 2025 | ICSE | Intention is All you Need: Refining your Code from your Intention. | Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu |
| 2025 | ICSE | SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. | Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu |
| 2025 | ICSE | Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair. | Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li |
| 2025 | ICSE | Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps. | Yuxin Zhang, Sen Chen, Xiaofei Xie, Zibo Liu, Lingling Fan |
| 2025 | ISSTA | Large Language Model Supply Chain: Open Problems From the Security Perspective. | Qiang Hu, Xiaofei Xie, Sen Chen, Lili Quan, Lei Ma |
| 2025 | KDD | Towards Context-Aware Traffic Classification via Time-Wavelet Fusion Network. | Ziming Zhao, Zhuoxue Song, Xiaofei Xie, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Tingting Li |
| 2025 | KDD | Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing. | Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen |
| 2025 | WWW | TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction. | Lili Quan, Xiaofei Xie, Qianyu Guo, Lingxiao Jiang, Sen Chen, Junjie Wang, Xiaohong Li |
| 2025 | SP | My Model is Malware to You: Transforming AI Models into Malware by Abusing TensorFlow APIs. | Ruofan Zhu, Ganhao Chen, Wenbo Shen, Xiaofei Xie, Rui Chang |
| 2024 | AIES | Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles. | Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang |
| 2024 | DAC | AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. | Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen |
| 2024 | ICSE | GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. | Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu |
| 2024 | ICSE | Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. | Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng |
| 2024 | ISSRE | Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. | Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui |
| 2024 | ISSRE | Ratchet: Retrieval Augmented Transformer for Program Repair. | Jian Wang, Shangqing Liu, Xiaofei Xie, Jingkai Siow, Kui Liu, Yi Li |
| 2024 | ISSTA | FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. | Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu |
| 2024 | ISSTA | Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation. | Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie, Boyu Wu, Shoubin Li, Fanjiang Xu, Qing Wang |
| 2024 | ISSTA | Bugs in Pods: Understanding Bugs in Container Runtime Systems. | Jiongchi Yu, Xiaofei Xie, Cen Zhang, Sen Chen, Yuekang Li, Wenbo Shen |
| 2024 | ISSTA | How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation. | Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, Yang Liu |
| 2024 | KDD | Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. | Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen |
| 2023 | ACL | Multi-target Backdoor Attacks for Code Pre-trained Models. | Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu |
| 2023 | ACSAC | Mitigating Membership Inference Attacks via Weighted Smoothing. | Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang |
| 2023 | CAIN | Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. | Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon |
| 2023 | CVPR | Evading DeepFake Detectors via Adversarial Statistical Consistency. | Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao |
| 2023 | EMNLP | A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. | Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu |
| 2023 | ICDM | SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. | Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi |
| 2023 | ICLR | Neural Episodic Control with State Abstraction. | Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao |
| 2023 | ICSE | Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. | Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon |
| 2023 | ICSE | CodeS: Towards Code Model Generalization Under Distribution Shift. | Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon |
| 2023 | ICSE | ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. | Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu |
| 2023 | ICSE | Widget Detection-based Testing for Industrial Mobile Games. | Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao |
| 2023 | ICSE | GameRTS: A Regression Testing Framework for Video Games. | Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang |
| 2023 | ISSTA | BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. | Mingfei Cheng, Yuan Zhou, Xiaofei Xie |
| 2022 | MSR | GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. | Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon |
| 2021 | AAAI | EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. | Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao |
| 2021 | AAAI | Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. | Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun |
| 2021 | AsiaCCS | Stealing Deep Reinforcement Learning Models for Fun and Profit. | Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu |
| 2021 | CCS | SoFi: Reflection-Augmented Fuzzing for JavaScript Engines. | Xiaoyu He, Xiaofei Xie, Yuekang Li, Jianwen Sun, Feng Li, Wei Zou, Yang Liu, Lei Yu, Jianhua Zhou, Wenchang Shi, Wei Huo |
| 2021 | ICCV | Learning to Adversarially Blur Visual Object Tracking. | Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao |
| 2021 | ICLR | Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. | Shangqing Liu, Yu Chen, Xiaofei Xie, Jing Kai Siow, Yang Liu |
| 2021 | ICML | RNNRepair: Automatic RNN Repair via Model-based Analysis. | Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing |
| 2021 | IJCAI | AVA: Adversarial Vignetting Attack against Visual Recognition. | Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu |
| 2021 | ICSE | Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. | Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu |
| 2021 | ISSRE | Vall-nut: Principled Anti-Grey box - Fuzzing. | Yuekang Li, Guozhu Meng, Jun Xu, Cen Zhang, Hongxu Chen, Xiaofei Xie, Haijun Wang, Yang Liu |
| 2021 | TASE | Inferring Loop Invariants for Multi-Path Loops. | Yingwen Lin, Yao Zhang, Sen Chen, Fu Song, Xiaofei Xie, Xiaohong Li, Lintan Sun |
| 2020 | AAAI | Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. | Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu |
| 2020 | APSEC | An Empirical Study on Robustness of DNNs with Out-of-Distribution Awareness. | Lingjun Zhou, Bing Yu, David Berend, Xiaofei Xie, Xiaohong Li, Jianjun Zhao, Xusheng Liu |
| 2020 | ECCV | SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking. | Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu |
| 2020 | IJCAI | FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces. | Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu |
| 2020 | ICSE | Typestate-guided fuzzer for discovering use-after-free vulnerabilities. | Haijun Wang, Xiaofei Xie, Yi Li, Cheng Wen, Yuekang Li, Yang Liu, Shengchao Qin, Hongxu Chen, Yulei Sui |
| 2020 | ICSE | MemLock: memory usage guided fuzzing. | Cheng Wen, Haijun Wang, Yuekang Li, Shengchao Qin, Yang Liu, Zhiwu Xu, Hongxu Chen, Xiaofei Xie, Geguang Pu, Ting Liu |
| 2020 | ICSE | 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 |
| 2020 | TASE | An Empirical Study in Software Verification Tools. | Mengmeng Jiang, Xiaohong Li, Xiaofei Xie, Yao Zhang |
| 2019 | ICECCS | MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform. | Ruitao Feng, Sen Chen, Xiaofei Xie, Lei Ma, Guozhu Meng, Yang Liu, Shang-Wei Lin |
| 2019 | ICECCS | Safe Inputs Approximation for Black-Box Systems. | Bai Xue, Yang Liu, Lei Ma, Xiyue Zhang, Meng Sun, Xiaofei Xie |
| 2019 | IJCAI | DiffChaser: Detecting Disagreements for Deep Neural Networks. | Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, Xiaohong Li |
| 2019 | IJCNN | Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network. | Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng |
| 2019 | ICST | Learning Performance Optimization from Code Changes for Android Apps. | Ruitao Feng, Guozhu Meng, Xiaofei Xie, Ting Su, Yang Liu, Shang-Wei Lin |
| 2019 | ISSTA | DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. | Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See |
| 2019 | TASE | A Co-Occurrence Recommendation Model of Software Security Requirement. | Yilin Xu, Weimin Ge, Xiaohong Li, Zhiyong Feng, Xiaofei Xie, Yude Bai |
| 2018 | CCS | Hawkeye: Towards a Desired Directed Grey-box Fuzzer. | Hongxu Chen, Yinxing Xue, Yuekang Li, Bihuan Chen, Xiaofei Xie, Xiuheng Wu, Yang Liu |
| 2017 | QRS | FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model. | Hongbo Li, Xiaohong Li, Jianye Hao, Guangquan Xu, Zhiyong Feng, Xiaofei Xie |
| 2015 | ISSTA | S-looper: automatic summarization for multipath string loops. | Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, Hongxu Chen |
| 2006 | SMC | Temporal Correlation Based Speech Feature Processing and its Application to Speaker Recognition. | Xiaofei Xie, ChengGong Yu |