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Yue Zhao

Junior Machine Learning Researcher specializing in multimodal LLMs and computer vision

Georgia Institute of TechnologyGeorgia TechAtlanta, GA1 Years ExperienceJunior LevelWorks On-Site

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About

LLM/multimodal systems builder who developed DuetGen, a practical multimodal interleaved text-image generation system using a decoupled MLLM planner and video-pretrained diffusion transformer for high-quality image generation with step-wise alignment. Built a 298K-sample interleaved dataset across 8 domains/151 subtasks and deployed a GPT-5-based automated evaluation framework; also has LangChain-based multimodal agent orchestration experience with custom state management and reliability testing.

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Key Strengths

  • Built and deployed a production-oriented multimodal interleaved generation system (DuetGen)
  • Architected decoupled MLLM planning + diffusion image generation with step-wise alignment for controllability
  • Designed two-stage training to prevent error amplification and improve long-horizon stability in multi-step generation
  • Created large-scale interleaved multimodal dataset (298K samples; 8 domains; 151 subtasks) plus two test sets
  • Implemented GPT-5-based automated evaluation covering multiple quality/consistency dimensions
  • Strong workflow/agent reliability practices: structured I/O, module-level tests, branch/edge-case coverage, system-level metrics
  • Effective cross-functional communication translating evaluation metrics and experiments for finance/operations stakeholders

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Experience

Teaching AssistantGeorgia Institute of Technology · Aug 2024 – Presentpart-time
Research InternZ.ai · Jan 2024 – Jun 2024internship

Education

Georgia Techmaster, Computer Science
Tsinghua Universitybachelor, Computer Science and Finance (2024)

Skills

Computer VisionCUDAData StructuresDeep LearningHugging FaceLangChainLoRAMachine LearningModel DeploymentNeural NetworksNumPyObject DetectionOpenCVPandasPyTorch

Languages

English

Publications

4 publications

Multi-preference optimization for generative modelsLoRA and parameter-efficient fine-tuningBayesian diffusion models3D shape reconstructionObject detectionMultimodal generationLLM-based agents for vision (visual grounding, open-vocabulary detection)

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All Teaching AssistantsTeaching Assistants in Atlanta MetroEducationEducation in Atlanta MetroComputer VisionCUDAData StructuresDeep Learning

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Yue ZhaoJunior Machine Learning Researcher specializing in multimodal LLMs and computer vision