LabCompass

Zichen Miao

Computer Science · Purdue University West Lafayette

OpenAlex
Early career · publishing since 2020
Multimodal Machine Learning ApplicationsAdvanced Graph Neural NetworksRobot Manipulation and LearningCervical Cancer and HPV ResearchNatural Language Processing Techniques

Publications

19

Citations

65

Est. group size

~1

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Zichen Miao works in computer science with a focus on deep learning methods, including efficient ways to fine-tune large models (such as transformers and diffusion models), graph neural networks, and image generation. More recent work extends into robot manipulation, table understanding via language models, and agentic reasoning systems. Earlier work included applying deep learning to medical imaging for cervical cancer diagnosis.

Efficient fine-tuning of large models (transformers, diffusion models)Graph neural networks and filter learningImage and content generationRobot manipulation and agentic AI systemsMedical imaging and diagnostic algorithms

Publication output has been variable rather than steadily growing, with active bursts in 2021 and 2025 separated by quieter years such as 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
1718192020: 2 publications202021: 5 publications5212022: 3 publications22232024: 2 publications242025: 5 publications5252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • Neural Information Processing Systems×3
  • BME Frontiers×1
  • International Journal of Biology and Life Sciences×1
  • International Conference on Learning Representations×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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