Xuegong Zhang
Professor of Pattern Recognition and Bioinformatics
Works on machine learning for biomedical big data, single-cell bioinformatics, the human cell atlas, and foundation models of life systems.
Xuegong Zhang's lab at Tsinghua works on genomics & computational biology, medical imaging & healthcare AI and medical image analysis. 25 papers since 2023, 2 at top venues, mostly NeurIPS and npj Digit. Medicine. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 8%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 1
- 11 papers2024 · T1 0
- 5 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, npj Digit. Medicine
Research focuspaper titles that use each topic's words
- Genomics & computational biology9 papers
- cell9 papers
- Medical image analysis2 papers
- Medical imaging & healthcare AI1 paper
- life1 paper
Paper list
From DBLP.
20261 paper
20258 papers
- npj Digit. MedicineA phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs (opens in a new tab)
- Briefings Bioinform.Computational methods and data resources for predicting tumor neoantigens (opens in a new tab)
- NeurIPS (T1)DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? (opens in a new tab)
- MLCBGeST: Towards Building A Generative Pretrained Transformer for Learning Cellular Spatial Context (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs (opens in a new tab)
- BIBMMulti-Modal Follow-Up Data-Guided Aggregated Representation for Predicting Gout Recurrence Risk (opens in a new tab)
- npj Digit. MedicineQuantifying Early-Stage Lung Adenocarcinoma Progression with a Radiomic Trajectory (opens in a new tab)
- Bioinform.uHAF: a unified hierarchical annotation framework for cell type standardization and harmonization (opens in a new tab)
202411 papers
- Nat. Mac. Intell.A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas (opens in a new tab)
- Briefings Bioinform.Benchmarking multi-omics integration algorithms across single-cell RNA and ATAC data (opens in a new tab)
- Quant. Biol.Current opinions on large cellular models (opens in a new tab)
- Genom. Proteom. Bioinform.HCCDB v2.0: Decompose Expression Variations by Single-cell RNA-seq and Spatial Transcriptomics in HCC (opens in a new tab)
- Biomed. Signal Process. Control.MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation (opens in a new tab)
- BIBMMolecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models (opens in a new tab)
- Quant. Biol.NeoHunter: Flexible software for systematically detecting neoantigens from sequencing data (opens in a new tab)
- Briefings Bioinform.scDecouple: decoupling cellular response from infected proportion bias in scCRISPR-seq (opens in a new tab)
- Bioinform.scDiffusion: conditional generation of high-quality single-cell data using diffusion model (opens in a new tab)
- RECOMBscMulan: A Multitask Generative Pre-Trained Language Model for Single-Cell Analysis (opens in a new tab)
- IEEE Trans. Fuzzy Syst.Weakly Supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity (opens in a new tab)
20235 papers
- Quant. Biol.Building digital life systems for future biology and medicine (opens in a new tab)
- Briefings Bioinform.Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomics (opens in a new tab)
- Mach. Intell. Res.Machine Learning in Lung Cancer Radiomics (opens in a new tab)
- Bioinform.simCAS: an embedding-based method for simulating single-cell chromatin accessibility sequencing data (opens in a new tab)
- NeurIPS (T1)xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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- 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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- Alumni
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