World's Best Scientists 2026 revealed!
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
39
Citations
4813
World Ranking
700
National Ranking
12

Computer Science

D-Index
40
Citations
5421
World Ranking
9422
National Ranking
122

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Xiaofei Xie is affiliated with Nanyang Technological University in Singapore and has an extensive body of work primarily in the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Information Systems, Software, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

The scientist's research topics cover a diverse range of areas, with a focus on:

  • Adversarial Robustness in Machine Learning
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Advanced Malware Detection Techniques
  • Anomaly Detection Techniques and Applications
  • Software System Performance and Reliability
  • Topic Modeling

Xiaofei Xie has contributed to several recent papers, demonstrating involvement in both theoretical and applied aspects of computer science and engineering. Notable publications include:

  • "A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices", 2020, IEEE Transactions on Information Forensics and Security
  • "Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Antibacterial hydrogel with pH-responsive microcarriers of slow-release VEGF for bacterial infected wounds repair", 2022, Journal of Material Science and Technology
  • "Retrieval-Augmented Generation for Code Summarization via Hybrid GNN", 2020, arXiv (Cornell University)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering
  • IEEE Transactions on Dependable and Secure Computing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Xiaofei Xie collaborates regularly with a number of coauthors, including:

  • Yang Liu
  • Lei Ma
  • Felix Juefei-Xu
  • Qing Guo
  • Maxime Cordy

Best Publications

  • DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

    Xiaofei Xie;Lei Ma;Felix Juefei-Xu;Minhui Xue

  • Hawkeye: Towards a Desired Directed Grey-box Fuzzer

    Hongxu Chen;Yinxing Xue;Yuekang Li;Bihuan Chen

  • FakeSpotter: A simple yet robust baseline for spotting AI-synthesized fake faces

    Run Wang;Felix Juefei-Xu;Lei Ma;Xiaofei Xie

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

    Hua Qi;Qing Guo;Felix Juefei-Xu;Xiaofei Xie

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

    Xiaoning Du;Xiaofei Xie;Yi Li;Lei Ma

  • Wuji: automatic online combat game testing using evolutionary deep reinforcement learning

    Yan Zheng;Changjie Fan;Xiaofei Xie;Ting Su

  • An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms

    Qianyu Guo;Sen Chen;Xiaofei Xie;Lei Ma

  • DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

    Run Wang;Felix Juefei-Xu;Yihao Huang;Qing Guo

  • A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

    Ruitao Feng;Sen Chen;Xiaofei Xie;Guozhu Meng

  • GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis

    Unknown

  • DeepMutation++: a mutation testing framework for deep learning systems

    Qiang Hu;Lei Ma;Xiaofei Xie;Bing Yu

  • MemLock: memory usage guided fuzzing

    Cheng Wen;Haijun Wang;Yuekang Li;Shengchao Qin

  • Stealthy and efficient adversarial attacks against deep reinforcement learning

    Jianwen Sun;Tianwei Zhang;Xiaofei Xie;Lei Ma

  • Typestate-guided fuzzer for discovering use-after-free vulnerabilities

    Haijun Wang;Xiaofei Xie;Yi Li;Cheng Wen

  • EfficientDeRain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

  • FakeLocator: Robust Localization of GAN-Based Face Manipulations

    Yihao Huang;Felix Juefei-Xu;Run Wang;Qing Guo

  • Cerebro: context-aware adaptive fuzzing for effective vulnerability detection

    Yuekang Li;Yinxing Xue;Hongxu Chen;Xiuheng Wu

  • Audee: automated testing for deep learning frameworks

    Qianyu Guo;Xiaofei Xie;Yi Li;Xiaoyu Zhang

  • Diffchaser: Detecting disagreements for deep neural networks

    Xiaofei Xie;Lei Ma;Haijun Wang;Yuekang Li

  • SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    Qing Guo;Qing Guo;Xiaofei Xie;Felix Juefei-Xu;Lei Ma

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

    Xiyue Zhang;Xiaofei Xie;Lei Ma;Xiaoning Du

  • Cats are not fish: deep learning testing calls for out-of-distribution awareness

    David Berend;Xiaofei Xie;Lei Ma;Lingjun Zhou

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

Frequent Co-Authors

Felix Juefei-Xu
Felix Juefei-Xu Facebook (United States)
Jianjun Zhao
Jianjun Zhao Kyushu University
Wei Feng
Wei Feng Tianjin University
Yan Zheng
Yan Zheng Southern University of Science and Technology
Tao Xiang
Tao Xiang University of Surrey
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Weisi Lin
Weisi Lin Nanyang Technological University
Han Yu
Han Yu Nanyang Technological University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University

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