Qiang Meng

Data Scientist

https://talent.gravityer.com/qiang-meng

Member since June 19, 2026

Key Strengths

Extensive experience in Python, Cuda, and C++ for machine learning and computer vision projects.
Strong background in academic research, evidenced by multiple publications (ECCV, CVPR, ICCV).
Demonstrated ability to work on complex projects involving 3D object detection, face recognition, and privacy-preserving feature matching.
Proficiency in deep learning frameworks and scientific computing tools like Jupyter Notebook and Matlab.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong focus on academic research and personal projects, primarily in computer vision and machine learning. This aligns well with roles requiring innovation and problem-solving in data science. However, the lack of team-based or industry projects makes it difficult to fully assess cultural fit in a collaborative corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

OPUS

March 24, 2024 – Present

OPUS: Occupancy Prediction Using a Sparse Set

View Project

StabilityIndex

August 7, 2023 – July 10, 2024

[ECCV 2024] Towards Stable 3D Object Detection

View Project

COM

September 12, 2022 – August 1, 2023

Curricular Object Manipulation in LiDAR-based Object Detection(CVPR 2023)

View Project

SecureVector

January 27, 2022 – August 2, 2022

Code for paper "Towards Privacy-Preserving, Real-Time and Lossless Feature Matching"

View Project

IrvingMeng.github.io

October 24, 2021 – Present

Personal Website.

View Project

LCE

July 23, 2021 – August 18, 2021

Learning Compatible Embeddings, ICCV 2021

View Project

MagFace

March 1, 2021 – December 19, 2023

MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

View Project

trace_ratio_mip

August 2, 2017 – August 5, 2017

trace_ratio_mip — GitHub repository

View Project

UW-poster-QiangMeng

December 6, 2015 – December 6, 2015

UW-poster-QiangMeng — GitHub repository

View Project

UW-beamer-QiangMeng

December 4, 2015 – December 4, 2015

UW-beamer-QiangMeng — GitHub repository

View Project

Key Strengths

Extensive experience in Python, Cuda, and C++ for machine learning and computer vision projects.
Strong background in academic research, evidenced by multiple publications (ECCV, CVPR, ICCV).
Demonstrated ability to work on complex projects involving 3D object detection, face recognition, and privacy-preserving feature matching.
Proficiency in deep learning frameworks and scientific computing tools like Jupyter Notebook and Matlab.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Qiang Meng

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit