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General Information

Full Name Lingxiao Li
Address CDS 908, 665 Commonwealth Ave, Boston, MA, 02215
Email lxli@bu.edu
Website lingxiao-li.github.io

Interests

  • Generative Models, Vision-language Models

Education

  • Sep. 2025 - present
    Doctor of Philosophy in Computing & Data Sciences
    Boston University, Boston, US
    Advisor: Prof. Boqing Gong
  • Jan. 2021 - May 2022
    Master of Science in Computer Science
    Columbia University, New York, US
  • Sep. 2018 - Jul. 2020
    Bachelor of Science with Honours in Computer Science
    University of Liverpool, Liverpool, UK
  • Sep. 2016 - Jul. 2020
    Bachelor of Science in Information and Computing Science
    Xi’an Jiao-tong Liverpool University, Suzhou, CN

Professional Experience

  • May. 2026 - Aug. 2026
    Research Scientist Intern
    Creatify AI, Mountain View, US
    Advisor: Ledell Wu and Prof. Boqing Gong
    • Correcting Relative Object Scale in Image Generation
    • Self-Improved Harness with MLLM Agent for Automatic Fine-grained Video Artifact Detection
  • Sep. 2025 - present
    Research Assistant
    Faculty of Computing & Data Sciences, Boston University, Boston, US
    Advisor: Prof. Boqing Gong
    • Benchmarking and Correcting Object Size Accuracy in Generative Models
    • AI For Science (Fiber-optic Imaging)
    • Physical Signatures Against AI Video Generation
  • Dec. 2023 - Jul. 2025
    Research Assistant
    MMLab, The Chinese University of Hong Kong, Hong Kong SAR
    Advisor: Prof. Xiangyu Yue
    • LLM Guided 3D-Aware Image Composition (NeurIPS ’24)
    • Diffusion Autoencoders for Hierarchical Few-shot Image Generation (ICCV ’25)
  • Jul. 2021 - Mar. 2023
    Research Intern
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, CN
    Advisor: Prof. Shuhui Wang
    • Few-shot Image Generation in Hyperbolic Space (ICCV ’23)
  • Jan. 2022 - Dec. 2022
    Research Assistant
    Department of Computer Science, Columbia University, New York, US
    Advisor: Prof. Junfeng Yang and Prof. Asaf Cidon
    • Monitoring and Adapting to Domain Shift Across Millions of Edge Devices (ASPLOS ’25)

Teaching Experience

  • Spring 2022
    CSOR W4231 - Analysis of Algorithms
    Columbia University, New York, US
    Instructor: Eleni Drinea
    • Teaching Assistant for 250 students
    • Developed course material, assignments and gave tutorials

Skills

  • Frameworks: Pytorch, TensorFlow, Keras, OpenCV
  • Programming Languages: Python, Java, Matlab, LaTeX, HTML, SQL, JavaScript, Swift, PHP

Services

  • Conference Reviewer: CVPR 2025-2026, ICCV 2025, ECCV 2024-2026, ICML 2024-2025, NeurIPS 2024-2026, ICLR 2024-2026, AISTATS 2025-2026, WACV 2025-2027, AAAI 2025-2027
  • Journal Reviewer: TPAMI, IJCV, Pattern Recognition