Li Hong
AI & Computer Vision Research Scientist | Generative AI & 3D Vision Specialist
Beijing, CN.About
Highly accomplished AI & Computer Vision Research Scientist with a robust academic background, currently pursuing a Ph.D. at Beihang University. Specializing in generative AI, 3D reconstruction, neural rendering, and video generation, with a strong publication record in top-tier conferences like CVPR and NeurIPS. Proven ability to translate cutting-edge research into practical applications through internships at leading tech companies like Baidu and Momenta, driving innovation in digital human and visual content creation.
Work
Beijing, Beijing, China
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Summary
Spearheaded research and development in 3D reconstruction, generative AI, neural rendering, and video generation algorithms, contributing to cutting-edge visual technology within the R&D department.
Highlights
Led advanced research in 3D reconstruction and generation, neural rendering, and video generation algorithms, significantly advancing core capabilities in visual content creation.
Developed deep expertise in DIT network architecture, various 3D representation formats, and 3D object generation algorithms, enhancing model efficiency and output quality.
Applied and optimized diffusion models for state-of-the-art image and video generation, achieving enhanced realism and expanding creative output possibilities.
Beijing, Beijing, China
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Summary
Conducted focused research on diffusion models for text-to-image generation and 3D facial reconstruction, optimizing generative AI pipelines and contributing to visual technology advancements.
Highlights
Researched and implemented diffusion models for advanced text-to-image generation and 3D facial reconstruction, improving the efficiency and quality of generative visual content.
Gained hands-on proficiency in diffusion model generation algorithms and various U-Net architecture training and optimization techniques, enhancing model performance.
Contributed to the development of cutting-edge visual technologies, applying theoretical knowledge to practical, industry-relevant challenges.
Beijing, Beijing, China
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Summary
Explored and implemented advanced generative adversarial networks (GANs) and variational autoencoders (VAEs) for facial animation and editing, contributing to deep learning research and development.
Highlights
Researched and developed GANs and VAEs for facial animation, editing, and style transfer, contributing to advancements in expressive digital human technologies.
Conducted in-depth studies on cutting-edge diffusion models and other generative algorithms, integrating findings into daily internship tasks and project work.
Developed a foundational understanding and practical proficiency in GAN-based generative algorithms, applying them to real-world visual content challenges.
Volunteer
Beihang University School of Automation Science and Electrical Engineering
|Class Monitor / Deputy Secretary of Party Branch, PhD Class BY21030
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Summary
Led and managed academic and extracurricular activities for the PhD class, fostering a supportive and collaborative environment, and coordinated political education initiatives.
Highlights
Orchestrated class activities and academic support initiatives for PhD students, enhancing student engagement and academic performance.
Served as Deputy Secretary of the Party Branch, coordinating political education and community service efforts within the class, fostering a cohesive community.
Beihang University School of Automation Science and Electrical Engineering
|Long-term Teaching Assistant, Graduate Affairs Office
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Summary
Provided consistent administrative and academic support for graduate affairs, contributing to the smooth operation of the department and enhancing student services.
Highlights
Provided comprehensive administrative and academic support to the Graduate Affairs Office, streamlining operations and improving student services.
Assisted with course management, student records, and event coordination, ensuring efficient departmental functioning and student satisfaction.
Beihang University School of Automation Science and Electrical Engineering Graduate Student Union
|Vice President
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Summary
Served as Vice President, organizing academic, social, and professional development events while advocating for graduate student interests within the School of Automation Science and Electrical Engineering.
Highlights
Co-led the Graduate Student Union as Vice President, organizing academic, social, and professional development events for over 500 graduate students.
Represented student interests and facilitated communication between students and faculty, significantly enhancing the overall graduate student experience.
Awards
National Scholarship for Encouragement
Awarded By
China Ministry of Education
Recognized for outstanding academic performance and significant potential among university students nationwide.
Beihang SMC Scholarship/Grant
Awarded By
Beihang University
Awarded for exceptional academic excellence and valuable contributions to the university community.
Beihang University Outstanding Graduate
Awarded By
Beihang University
Honored as a top-performing graduate for superior academic achievements and overall contributions to the university.
Multiple University-level Honors (e.g., Outstanding Communist Party Member, "San Hao" Student, Outstanding Student Cadre)
Awarded By
Beihang University
Received multiple university-level accolades for leadership, academic excellence, and dedicated commitment to student life and community service.
Publications
Languages
Chinese (Mandarin)
English
Skills
Computer Vision & AI
Generative AI, Diffusion Models, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), 3D Reconstruction, 3D Object Generation, Neural Rendering, Video Generation, Image Generation, Facial Animation, Facial Landmark Alignment, DIT Network Architecture, U-Net Architecture, Explainable AI (XAI), Deep Learning, Machine Learning, Computer Vision, Image Processing, Pattern Recognition.
Programming & Tools
Python, PyTorch, Arxiv, CVPR, NeurIPS, IJCV, ICLR.
Research & Development
Algorithm Design, Algorithm Optimization, Data Analysis, Scientific Computing, Problem Solving, Academic Research, Technical Review, Experiment Design, Simulation, Statistical Analysis, Team Collaboration.
Projects
Explainable and Performance-Enhanced Ship Recognition Project (Research Institute)
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Summary
Contributed as a student participant to a project focused on developing explainable and performance-enhanced classification and detection processes for remote sensing datasets of ships, leading to a publication in NeuroComputing.