Gengze Zhou
Research Intern @ Qwen
About
I am now working on Embodied AI, Large Vision-Language Models.
Australia
Braddon
Computer Software
Embedded Systems, C++, C (Programming Language), Embedded Software, Embedded C, Computer Vision, PyTorch, Machine Learning Algorithms, 计算机视觉, Python, 机器学习, OpenCV, 图像处理
Experience
Research Intern
Qwen
Building Qwen-VLA, Qwen-Robot suit and Qwen-Image 3.
PHD Candidate
Australian Institute for Machine Learning (AIML)
Research Intern
Adobe
San Jose, California, United States
Curated large-scale synthetic datasets and designed multimodal interleaved training frameworks integrating video diffusion models and LLMs to enhance cross-modal context sharing for precise iterative editing.
Research Intern
Adobe
San Jose, California, United States
Working on scalable autoregressive text to image/ video generation.
Sessional Academic
The Australian National University
Canberra, Australian Capital Territory, Australia
Advanced Topics in Deep Learning for Computer Vision (COMP8536) - Second Semester 2022
Education
University of Adelaide
Computer Science
The Australian National University
Machine Learning and Computer Vision
Dalian University of Technology
Electronic Information Engineering
Gengze Zhou's Contact Information
Phone
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