Zhonghua Wu

AI Researcher

Singapore, Singapore8 yrs 4 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Expert in AI and algorithms for autonomous driving.
  • Published multiple papers in top-tier conferences.
  • Led significant research projects in computer vision.
Stackforce AI infers this person is a specialist in AI and computer vision for autonomous systems.

Contact

Skills

Core Skills

Artificial Intelligence (ai)AlgorithmsComputer VisionPattern Recognition

Other Skills

ResearchPython (Programming Language)Object DetectionSOLIDWORKS

Experience

8 yrs 4 mos
Total Experience
4 yrs 11 mos
Average Tenure
3 yrs 5 mos
Current Experience

Sensetime 商汤科技

2 roles

Senior Algorithm Researcher

Promoted

Sep 2025Present · 7 mos · On-site

  • Leading research on large-scale world models and video generation models for embodied AI and autonomous driving.
ResearchPython (Programming Language)Artificial Intelligence (AI)Algorithms

Algorithm Researcher

Nov 2022Sep 2025 · 2 yrs 10 mos · On-site

  • Conducting research on diffusion and autoregressive models to unify image understanding and generation tasks.
ResearchPython (Programming Language)Artificial Intelligence (AI)Algorithms

Nanyang technological university

2 roles

Researcher at S-Lab for Advanced Intelligence

Promoted

Nov 2020Nov 2022 · 2 yrs · On-site

  • Conducted research on point cloud segmentation tasks, enhancing technologies that empower autonomous driving systems through improved environmental perception and decision-making capabilities.
  • Papers:
  • Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation, IJCV
  • Dual adaptive transformations for weakly supervised point cloud segmentation, ECCV 2022
ResearchComputer VisionPattern Recognition

Researcher at Rapid-Rich Object Search Lab

Nov 2017Oct 2020 · 2 yrs 11 mos · On-site

  • Papers:
  • Learning meta-class memory for few-shot semantic segmentation, ICCV 2021
  • Mv-ton: Memory-based video virtual try-on network, ACM MM 2021
  • Exploring bottom-up and top-down cues with attentive learning for webly supervised object detection, CVPR 2020
  • Portable food‐freshness prediction platform based on colorimetric barcode combinatorics and deep convolutional neural networks, Advanced Materials
  • M2e-try on net: Fashion from model to everyone, ACM MM 2019

Minieye(shenzhen youjia innov tech co., ltd.)

Algorithm Engineer

Aug 2017Nov 2017 · 3 mos

Nanyang technological university

Research Assistant

Mar 2017May 2017 · 2 mos

Education

Nanyang Technological University Singapore

Doctor of Philosophy - PhD — Computer Science

Jan 2019Jan 2022

University of Electronic Science and Technology of China

Bachelor's degree — Electrical and Electronics Engineering

Jan 2013Jan 2017

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