Haoning Wu
Member Of Technical Staff at Moonshot AI
Singapore, Singapore
Summary
🤩
Rockstar🎓
Top SchoolHaoning Wu is a Member of Technical Staff based in Singapore with six years’ experience building video-focused computer vision and multimodal language model systems. After a PhD at Nanyang Technological University on video quality assessment, he has moved quickly from research internships at MEGVII and AiFi to hands-on roles creating open-source video LMMs—most recently leading work on Aria at Rhymes.AI and now developing LMMs at Moonshot AI. He blends deep academic rigor with practical engineering, shipping research-grade models and tooling for video understanding and smartphone photography. Notably, his trajectory shows a pattern of turning focused research topics into open-source, product-ready multimodal models.
6 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree computer vision, Bachelor’s Degree computer vision at Peking UniversityDoctor of Philosophy - PhD computer vision, Doctor of Philosophy - PhD computer vision at Nanyang Technological University Singapore
Github Skills (54)
pytorch10
openai-api10
benchmark10
evaluation10
multimodal10
sampling10
clip10
video-quality10
computer-vision10
chatgpt9
fragment9
llm9
large-language-models9
vision-and-language9
deep-learning9
Programming languages (3)
Github contributions (5)
Q-Future/Q-Bench
Sep 2023 - Aug 2024
[GPT-4V+15 Open Source Models@Oct 15] A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
Contributions:1 release, 3 PRs, 58 pushes in 10 months
gpt-4image-quality-assessmentlarge-language-modelslow-level-visionquality-assessment
VQAssessment/FAST-VQA-and-FasterVQA
Dec 2021 - Dec 2022
[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.
Contributions:5 releases, 78 commits, 3 PRs in 11 months
low-level-visioneccv2022videoquality-assessment-frameworkquality-assessment
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