AI-driven cybersecurity & forensicsAI驱动的网络安全与取证
AI-generated multimedia content detection, deepfake forensics, and finger vein recognition/security.AI生成多媒体内容检测、深度伪造取证、指静脉识别与安全。
POSTDOCTORAL FELLOW博士后研究员 · SYSU中山大学 · 2026
Trustworthy machine learning for cybersecurity & multimedia forensics. 面向多媒体取证的可信机器学习。
ABOUT / MANIFESTO关于 / 宣言
My research addresses real-world cybersecurity and AI-safety challenges at the intersection of trustworthy machine learning, computer vision, and multimedia security. I develop robust, interpretable, and fair AI systems for deepfake detection, forensics, biometric anti-spoofing, and privacy-preserving AI. 我的研究关注可信机器学习、计算机视觉与多媒体安全交叉处的真实网络安全与 AI 安全问题,目标是构建鲁棒、可解释、公平的深度伪造检测、多媒体取证、生物特征防伪与隐私保护 AI 系统。
I am interested in human-centered, higher-level, human-friendly ML concepts that make model behavior understandable to researchers, investigators, engineers, and the wider public. 我关注以人为中心、更高层次、易于理解的机器学习表达方式,使研究人员、调查人员、工程师和公众都能理解模型行为。
RESEARCH AREAS研究方向
AI-generated multimedia content detection, deepfake forensics, and finger vein recognition/security.AI生成多媒体内容检测、深度伪造取证、指静脉识别与安全。
Fairness, interpretability, adversarial robustness, secure data pipelines, and transparent forensic reasoning.公平性、可解释性、对抗鲁棒性、安全数据管道与透明取证推理。
Unsupervised, semi-supervised, and self-supervised learning for threat environments that differ from curated datasets.面向与精心整理的数据集不同的威胁环境的无监督、半监督与自监督学习。
Alternative color spaces, frequency statistics, temporal coherence, audio-visual cues, VLMs, and LLM-driven workflows.替代色彩空间、频域统计、时序一致性、音视频线索、视觉语言模型与大语言模型驱动的工作流。
1) How can trustworthy machine learning frameworks advance deepfake detection and media provenance analysis in facial images and videos, while ensuring robust generalization across domains, interpretable forensic evidence, and privacy-preserving model deployment?
2) How can deepfake forensics be extended beyond binary detection to manipulation-family attribution and transformation-pathway inference, while ensuring privacy-preserving model deployment that protects sensitive training data and inference inputs in real-world governance and security applications?一) 如何构建可信机器学习框架,在实现面部图像与视频的深度伪造检测与媒体溯源分析的同时,确保跨域鲁棒性、可解释取证证据、以及隐私保护模型部署?
二) 如何将深度伪造取证从二元检测拓展至篡改族类归因与变换路径推断,同时确保模型部署的隐私保护机制,在真实治理与安全应用场景中保护敏感训练数据与推理输入?
EDUCATION教育
School of Cyber Science and Technology网络空间安全学院
Sun Yat-sen University中山大学
Areas:研究方向: Multimedia Forensics, Trustworthy Machine Learning, VLMs, and LLMs.多媒体取证、可信机器学习、视觉语言模型、大语言模型。
School of Electronic and Information Engineering电子与信息学院
South China University of Technology华南理工大学
Areas:研究方向: Multimedia Deepfake Forensics, Machine Learning, Privacy Preservation.多媒体深度伪造取证、机器学习、隐私保护。
Awards:获奖:Excellent Graduate Student.优秀研究生奖。
Fellowships:奖学金: Chinese Government Fellowship; Guangdong Outstanding International Student.中国政府全额奖学金、广东省来粤留学生奖学金。
School of Electronic and Information Engineering电子与信息学院
South China University of Technology华南理工大学
Areas:研究方向:Finger Vein Biometrics, Machine Learning, Information Security.指静脉生物特征识别、机器学习、信息安全。
Awards:获奖:Excellent Graduate Student.优秀研究生奖。
Fellowships:奖学金:Chinese Government Fellowship.中国政府全额奖学金。
EXPERIENCE经验
School of Cyber Science and Technology网络空间安全学院
Sun Yat-sen University中山大学
Co-supervise graduate students, contribute to research funding proposals, delivered invited cybersecurity webinar at Consulate General of Pakistan, Guangzhou 2026.共同指导研究生,撰写科研项目申请书,2026年在巴基斯坦驻广州总领事馆做特邀网络安全意识讲座。
School of Electronic and Information Engineering电子与信息学院
South China University of Technology华南理工大学
Assisted graduate-level course Information Hiding and Digital Investigation, including course design, labs, grading, project guidance, article reviews, and thesis writing.协助研究生课程《信息隐藏与数字调查》,包括课程设计、实验、评分、项目指导、论文审阅与写作。
Department of Computer Science计算机科学系
University of Warwick华威大学
Published work on spectral frequency-domain analysis of color channels and representative forgery learning across color spaces.发表关于色彩通道频域分析与跨色彩空间代表性伪造学习的工作。
School of Information Technology信息技术学院
Deakin University迪肯大学
Developed cross-domain characteristic analysis with a multi-domain transformer for deepfake detection.开发了面向深度伪造检测的多域Transformer跨域特征分析框架。
School of Engineering and Information Technology / Australian Defence Force Academy工程与信息技术学院 / 澳大利亚国防军学院
University of New South Wales新南威尔士大学
Developed temporal coherence-based deepfake video detection algorithms with improved cross-dataset performance.开发了基于时序一致性的深度伪造视频检测算法,提高了跨数据集性能。
R&D Institute研发中心
GRG Banking Ltd.广电运通
Researched and deployed real-time finger vein recognition systems, fake finger vein attack identification, and cross-count systems in banking and metro hardware.研究并部署实时指静脉识别系统、伪造指静脉攻击识别、跨计数系统,应用于银行与地铁硬件。
FUNDING, INDUSTRY & DEPLOYMENTS基金、产业与部署
RESEARCH FUNDING & GRANTS科研基金
Partner: Sun Yat‑sen University合作方:中山大学
Grant No. 62572500 · Core Research Member 项目号 62572500 · 核心成员
Intelligent Video Processing Technology in the Encrypted Domain. 加密域智能视频处理技术研究。
Partner: Sun Yat‑sen University合作方:中山大学
Grant Nos. U23B2022, U22A2030 · Core Research Member 项目号 U23B2022, U22A2030 · 核心成员
Partner: Sun Yat‑sen University合作方:中山大学
Grant No. 2023B0303000010 · Core Research Member 项目号 2023B0303000010 · 核心成员
Partner: South China University of Technology合作方:华南理工
Grant No. 2022GH15 · Core Research Member 项目号 2022GH15 · 核心成员
INDUSTRIAL PARTNERSHIPS & DEPLOYMENTS产业合作与系统部署
Partner: GRG Banking × SCUT合作方:广电运通 × 华南理工
Novel algorithms for detecting fake finger veins and enhancing low-quality finger-vein image recognition.伪造指静脉检测与低质量指静脉图像增强识别算法。
Partner: GRG Banking × SCUT合作方:广电运通 × 华南理工
Collaborative product development on overhead security analysis and cross-count systems for banking and metro hardware.合作产品开发:面向银行与地铁硬件的高空安全分析与跨计数系统。
PUBLICATIONS论文
JOURNALS & CONFERENCES期刊与会议
Conventional resizing erases deepfake cues; our two-stage framework preserves them for robust detection.传统缩放会抹除深度伪造痕迹;我们提出的两阶段框架能保留这些痕迹,实现鲁棒检测。
A study of QoE in cloud gaming and VR using deep learning and facial emotion cues.利用深度学习和面部情绪线索研究云游戏与VR中的体验质量。
Multi-color-space forgery learning framework that improves robustness and cross-dataset generalization.一种多色彩空间伪造学习框架,提高鲁棒性和跨数据集泛化能力。
SVFT combines frequency-domain and spatial artifacts through a transformer-based framework.SVFT通过基于Transformer的框架融合频域和空间伪影,实现鲁棒检测。
Bi-level temporal modeling and coherence analysis for intra- and cross-dataset deepfake detection.一种双层时序建模与一致性分析方法,用于数据集内和跨数据集的深度伪造检测。
Frequency-domain color-channel statistics reveal spectral anomalies in deepfake generation.频域色彩通道统计揭示了深度伪造生成中的频谱异常。
A rule-based behavioral ML approach for context-aware personalized notification services.一种基于规则的机器学习方法,用于上下文感知的个性化通知服务。
CNN-based detection of inter-frame forgeries using spatial-temporal relationships.基于CNN的帧间伪造检测,利用时空关系和置信度评分。
Detection and localization of 3-D region duplication forgeries in videos.视频中三维区域复制伪造的检测与定位。
PATENTS专利
INVITED TALKS & KEYNOTES特邀报告与主题演讲
Consulate General of Pakistan, Guangzhou巴基斯坦驻广州总领事馆
Invited webinar on cybersecurity awareness for the Pakistani community in southern China, covering threat models, personal OPSEC, AI-generated content risks, and defensive practices.面向华南巴基斯坦社区的网络安全意识特邀网络研讨会、涵盖威胁模型、个人安全防护、AI生成内容风险与防御实践。
Universities, conferences, industry, and government高校、会议、企业与政府机构
Topics include: deepfake detection, multimedia forensics, biometric anti-spoofing, adversarial robustness, and privacy-preserving AI systems.话题包括:深度伪造检测、多媒体取证、生物特征防伪、对抗鲁棒性与隐私保护AI系统。
SKILLS, AWARDS & SERVICE技能、奖项与服务
Deep Learning Frameworks深度学习框架
PyTorch · TensorFlow · Keras · Hugging Face TransformersPyTorch · TensorFlow · Keras · Hugging Face Transformers
Peer Reviewer审稿人
CVPR · AAAI · IEEE TCE · Digital Signal Processing · Entertainment ComputingCVPR · AAAI · IEEE TCE · Digital Signal Processing · Entertainment Computing
2022 — 20242022 — 2024
Guangdong Government Outstanding International Student Scholarship广东省政府来粤留学生奖学金
ML & Data Science机器学习与数据科学
Scikit‑Learn · NumPy · Pandas · Matplotlib · OpenCVScikit‑Learn · NumPy · Pandas · Matplotlib · OpenCV
Organizer组织者
China Information Hiding & Multimedia Security Workshop (CIHW 2018)中国信息隐藏与多媒体安全研讨会 (CIHW 2018)
2016 — 20222016 — 2022
Chinese Government Full Scholarship (CSC)中国政府全额奖学金 (CSC)
Programming编程语言
Python (primary) · C++Python (主要) · C++
Volunteer志愿者
Member of Scout Association, since 2007童军协会成员、自 2007 年
2016 — 20242016 — 2024
Excellent Graduate Student Award优秀研究生奖
Deep Learning Frameworks深度学习框架
PyTorch · TensorFlow · Keras · Hugging Face TransformersPyTorch · TensorFlow · Keras · Hugging Face Transformers
ML & Data Science机器学习与数据科学
Scikit‑Learn · NumPy · Pandas · Matplotlib · OpenCVScikit‑Learn · NumPy · Pandas · Matplotlib · OpenCV
Programming编程语言
Python (primary) · C++Python (主要) · C++
Peer Reviewer审稿人
CVPR · AAAI · IEEE TCE · Digital Signal Processing · Entertainment ComputingCVPR · AAAI · IEEE TCE · Digital Signal Processing · Entertainment Computing
Organizer组织者
China Information Hiding & Multimedia Security Workshop (CIHW 2018)中国信息隐藏与多媒体安全研讨会 (CIHW 2018)
Volunteer志愿者
Member of Scout Association, since 2007童军协会成员、自 2007 年
2022 — 20242022 — 2024
Guangdong Government Outstanding International Student Scholarship广东省政府来粤留学生奖学金
2016 — 20222016 — 2022
Chinese Government Full Scholarship (CSC)中国政府全额奖学金 (CSC)
2016 — 20242016 — 2024
Excellent Graduate Student Award优秀研究生奖
NEWS & UPDATES新闻与动态
Paper accepted to IEEE Transactions on Consumer Electronics.一篇论文被IEEE Transactions on Consumer Electronics接收。
Invited webinar: A Cybersecurity Awareness Session at Consulate General of Pakistan, Guangzhou.在巴基斯坦驻广州总领事馆做特邀网络研讨会:网络安全意识讲座。
Joined NSFC Surface Project Research on Intelligent Video Processing in the Encrypted Domain, No. 62572500.加入国家自然科学基金面上项目加密域智能视频处理技术研究(62572500),担任核心成员。
Co-authored QoE in Cloud Gaming published in Sensors 2025.合著论文云游戏中的体验质量发表于Sensors 2025。
Core member on NSFC U23B2022, U22A2030, and Guangdong Major Project 2023B0303000010.成为国家自然科学基金项目U23B2022、U22A2030及广东省重大项目2023B0303000010核心成员。
Joined Sun Yat-sen University as a Postdoctoral Fellow in Trustworthy ML for Cybersecurity.加入中山大学,担任网络安全领域可信机器学习方向的博士后研究人员。
Papers accepted to Electronic Research Archive and Alexandria Engineering Journal.论文被Electronic Research Archive与Alexandria Engineering Journal接收。
Paper accepted to Digital Signal Processing.一篇论文被Digital Signal Processing接收。
Attended Future Trends in Multimedia Forensics workshop at SCUT organized by Prof. Alex Kot, NTU.参加华南理工大学多媒体取证未来趋势研讨会,由南洋理工大学Alex Kot教授组织。
Paper accepted to 11th IEEE IWBF in Barcelona, Spain.论文被西班牙巴塞罗那第11届IEEE国际生物特征与取证研讨会接收。
Received Guangdong Outstanding International Student Scholarship at SCUT.获得广东省政府来粤留学生奖学金。
Patent awarded by China National Intellectual Property Administration.一项专利获得中国国家知识产权局授权。
Paper accepted to Journal of Ambient Intelligence and Humanized Computing.论文被Journal of Ambient Intelligence and Humanized Computing接收。
Paper accepted to International Journal of Image, Graphics and Signal Processing.论文被International Journal of Image, Graphics and Signal Processing接收。
Paper accepted to International Journal of Image, Graphics and Signal Processing.论文被International Journal of Image, Graphics and Signal Processing接收。
Started collaborative projects at R&D Institute of GRG Banking Ltd.在广电运通研发中心启动合作项目。
Joined SCUT Research Centre of Multimedia Information Security, advised by Prof. Yongjian Hu.加入华南理工大学多媒体信息安全检测与智能处理研究中心,导师胡永健教授。
Filed patent application: An Adaptive Detection Method for Low-quality Finger Vein Images.提交专利申请一种低质量指静脉图像上下边缘自适应检测方法。
Excellent Graduate Student Award and Best Master Dissertation Award at SCUT.获得优秀研究生奖与工程硕士优秀学位论文奖。
Defended M.Eng. thesis A Study on Preprocessing of Finger Vein Recognition System.完成硕士学位论文答辩指静脉识别系统预处理研究。
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