Qingming, LIU

Data Scientist

https://talent.gravityer.com/qingming-liu

The Chinese University of Hong Kong

Key Strengths

Strong foundational knowledge in Python, Cuda, C++, and Shell scripting, essential for data science and machine learning research.
Demonstrated ability to contribute to significant research projects, including papers accepted by ICLR and NeurIPS, indicating strong research acumen.
Experience with 3D diffusion alignment and dynamic Gaussian splatting, showcasing expertise in advanced computer vision and graphics techniques.
Active involvement in creating project homepages using HTML, CSS, and JavaScript, suggesting a well-rounded technical skill set.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily research-oriented and academic, which aligns well with roles requiring innovation and deep technical problem-solving. However, the lack of diverse project types (e.g., industry applications, team projects beyond research) and limited experience outside of academic research might indicate a narrower scope of cultural fit for roles requiring extensive cross-functional collaboration or product development focus. The current role as 'Data Scientist' at a university aligns with the research focus.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.

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Assessing your cultural and operational fit

Projects

nabla-R2D3.github.io

May 23, 2025 – September 23, 2025

homepage of nabla-R2D3

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Nabla-R2D3

May 23, 2025 – September 23, 2025

[NeurIPS 2025 Official Codes] Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards

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MobiusLqm

April 1, 2025 – August 12, 2025

Homepage

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MoDGS

June 4, 2024 – June 24, 2025

Official Implementation of paper accepted by ICLR2025-MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors

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MoDGS.github.io

June 1, 2024 – November 22, 2025

MoDGS.github.io — GitHub repository

View Project

Key Strengths

Strong foundational knowledge in Python, Cuda, C++, and Shell scripting, essential for data science and machine learning research.
Demonstrated ability to contribute to significant research projects, including papers accepted by ICLR and NeurIPS, indicating strong research acumen.
Experience with 3D diffusion alignment and dynamic Gaussian splatting, showcasing expertise in advanced computer vision and graphics techniques.
Active involvement in creating project homepages using HTML, CSS, and JavaScript, suggesting a well-rounded technical skill set.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores provided.

Qingming, LIU

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit