Peter Kam
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Peter Kam | PhD Student. New to Machine Learning.

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Logs for FM-powered Large-scale Cervical Cancer Screening
Research
Logs for FM-powered Large-scale Cervical Cancer Screening
A note containing the overall feelings of large-scale cytology cancer screening.
Research
Whole-slide Image
Knowledge Distillation
Logs for Cross-modal Distillation under the LUPI Paradigm
Research
Logs for Cross-modal Distillation under the LUPI Paradigm
A note containing a glimpse of the development of learning using privileged information paradigm on WSIs.
Research
Whole-slide Image
Knowledge Distillation
Logs for Foundations of Diffusion Models
Research
Logs for Foundations of Diffusion Models
A note containing foundation contents of diffusion models.
Diffusion Models
Survey
Research
Logs for Semantic-Relation Constrained Whole-Slide Image Processing
Research
Logs for Semantic-Relation Constrained Whole-Slide Image Processing
A note for cytology whole-slide image processing research.
Research
Logs
Whole-slide Image
Logs for Casual Deep Learning
Research
Logs for Casual Deep Learning
A note for research related to casual learning.
Casual Deep Learning
Research
Logs
Whole-slide Image
写在美国大学生数学建模赛后
Research
写在美国大学生数学建模赛后
第一次也许也是最后一次参加这样所谓“国际比赛”的感想。
Thinking
Research
Hi!I am
Peter Kam

Peter Kam

CS PhD Student | INTJ-A | HAM | Otaku | Ingress RES | Arch Linux | Support zh-cn zh-tw zh-yue en-us ja-jp | avatar illustrated by @naga_U_
 
Feel free to discover my Research Webpage and Github :)
Latest posts
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[Restricted Access] What’s next after this stage?
Jan 15, 2026
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2025 年终总结
Dec 31, 2025
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[Restricted Access] Are we close to finish yet?
Dec 31, 2025
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科大第三年
Dec 31, 2025
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Logs for FM-powered Large-scale Cervical Cancer Screening
Dec 31, 2025
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Logs for Cross-modal Distillation under the LUPI Paradigm
Dec 31, 2025
Thinking
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Annual
9
Travel
9
Short-Distance
7
Redacted
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Research
6
Whole-slide Image
4
Long-distance
3
Slushy
2
Logs
2
Knowledge Distillation
2
Survey
1
Casual Deep Learning
1
Diffusion Models
1

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2019-2026Peter Kam | PhD Student. New to Machine Learning.