Yan Hou
助理教授/副研究员
Researches feature screening and prediction models for complex diseases and AI-based drug repositioning.
Yan Hou's lab at Peking works on medical imaging & healthcare AI and proteins, drugs & materials. 9 papers since 2023, 1 at top venues, mostly Briefings in Bioinformatics and Medical Image Analysis. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 11%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 2 papers2024 · T1 0
- 2 papers2023 · T1 1
T1 venuesOtherVenues: Briefings in Bioinformatics, Medical Image Analysis
Research focuspaper titles that use each topic's words
- feature1 paper
- Medical imaging & healthcare AI0 papers
- Proteins, drugs & materials0 papers
- diseases0 papers
- ai-based0 papers
Paper list
From the lab homepage.
20263 papers
- Statistics in MedicineA group structure guided ultra-high dimensional feature screening for survival outcome
- Briefings in BioinformaticsGAMMI: Graph-Guided Contrastive and Adversarial Integration of Single-cell and Spatial Multi-omics Data
- BMC Medical Research MethodologyVariational biomarker pooling with calibration for time-to-event outcomes across multiple clinical studies
20252 papers
- Journal of applied statisticsBayesian biomarker effect estimate for combining data from multiple biomarker studies
- Statistics in MedicineDynamic Information Borrowing From External Data in Clinical Trials: The Elastic Commensurate Prior Approach
20242 papers
- Journal of Biopharmaceutical StatisticsAdaptively leverage multiple real-world data sources for treatment effect estimation based on similarity
- Briefings in BioinformaticsSingle-cell mosaic integration and cell state transfer with auto-scaling self-attention mechanism
20232 papers
- Statistical Methods in Medical ResearchA screening method for ultra-high dimensional features with overlapped partition structures
- Medical Image Analysis (T1)E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
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- Fee
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Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- Papers
- The lab homepage
- Members
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- Alumni
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