Xiaofan Zhang
Tenured Track Associate Professor
Works on medical image and text analysis and multimodal decision making.
Xiaofan Zhang's lab at SJTU works on medical imaging & healthcare AI, reinforcement learning and vision-language & multimodal. 40 papers since 2023, 33 at top venues, mostly MICCAI and ACL. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 83%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 17 papers2025 · T1 16
- 13 papers2024 · T1 10
- 8 papers2023 · T1 5
T1 venuesOtherVenues: MICCAI, ACL, COLING, Medical Image Analysis, AAAI
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI11 papers
- Vision-language & multimodal6 papers
- Reinforcement learning2 papers
- text analysis0 papers
- decision making0 papers
Paper list
From the lab homepage.
20262 papers
202517 papers
- COLING (T1)An llm-based framework for biomedical terminology normalization in social media via multi-agent collaboration (opens in a new tab)
- MICCAI (T1)Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks (opens in a new tab)
- COLING (T1)Interactive evaluation for medical llms via task-oriented dialogue system (opens in a new tab)
- MICCAI (T1)Interactive Segmentation and Report Generation for CT Images (opens in a new tab)
- MICCAI (T1)LesionDiffusion: Towards Text-Controlled General Lesion Synthesis (opens in a new tab)
- Medical Image Analysis (T1)Maxillofacial bone movements-aware dual graph convolution approach for postoperative facial appearance prediction (opens in a new tab)
- Medical Image Analysis (T1)MedLSAM: Localize and segment anything model for 3D CT images (opens in a new tab)
- NAACL (T1)Medodyssey: A medical domain benchmark for long context evaluation up to 200k tokens (opens in a new tab)
- NAACL (T1)MeNTi: Bridging medical calculator and LLM agent with nested tool calling (opens in a new tab)
- ACL (T1)Meta-Tool: Unleash Open-World Function Calling Capabilities of General-Purpose Large Language Models (opens in a new tab)
- COLING (T1)Mix-of-granularity: Optimize the chunking granularity for retrieval-augmented generation (opens in a new tab)
- ACL (T1)Mmxu: A multi-modal and multi-x-ray understanding dataset for disease progression (opens in a new tab)
202413 papers
- NPJ Precision OncologyArtificial intelligence-based assessment of PD-L1 expression in diffuse large B cell lymphoma (opens in a new tab)
- NeurIPS (T1)Cat: Coordinating anatomical-textual prompts for multi-organ and tumor segmentation (opens in a new tab)
- Medical Image Analysis (T1)Deblurring masked image modeling for ultrasound image analysis (opens in a new tab)
- Journal of medical Internet researchEvolution of the “Internet Plus Health Care” mode enabled by artificial intelligence: Development and application of an outpatient triage system (opens in a new tab)
- COLING (T1)GECSum: Generative evaluation-driven sequence level contrastive learning for abstractive summarization (opens in a new tab)
- MICCAI (T1)Incorporating clinical guidelines through adapting multi-modal large language model for prostate cancer PI-RADS scoring (opens in a new tab)
- MICCAI (T1)Iossam: Label efficient multi-view prompt-driven tooth segmentation (opens in a new tab)
- Big Data Mining and AnalyticsMedbench: A comprehensive, standardized, and reliable benchmarking system for evaluating chinese medical large language models (opens in a new tab)
- ACL (T1)Medical dialogue system: A survey of categories, methods, evaluation and challenges (opens in a new tab)
- Medical Image Analysis (T1)PathoDuet: foundation models for pathological slide analysis of H&E and IHC stains (opens in a new tab)
- MICCAI (T1)Pathotune: Adapting visual foundation model to pathological specialists (opens in a new tab)
- Medical Image Analysis (T1)Usfm: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis (opens in a new tab)
20238 papers
- ACL (T1)Alleviating exposure bias via multi-level contrastive learning and deviation simulation in abstractive summarization (opens in a new tab)
- ISBIAutomatic lobe segmentation using attentive cross entropy and end-to-end fissure generation (opens in a new tab)
- MICCAI (T1)Efficient subclass segmentation in medical images (opens in a new tab)
- BMC Medical ImagingHippocampus segmentation after brain tumor resection via postoperative region synthesis (opens in a new tab)
- CVPR (T1)Kiut: Knowledge-injected u-transformer for radiology report generation (opens in a new tab)
- ACL (T1)MidMed: Towards mixed-type dialogues for medical consultation (opens in a new tab)
- TMI (T1)One-shot weakly-supervised segmentation in 3D medical images (opens in a new tab)
- ISBISemi-supervised pulmonary airway segmentation with two-stage feature specialization mechanism (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USMIT
Tess Smidt
- Proteins, drugs & materials
- USMichigan
Jenna Wiens
10 T1 - USUT Austin
Karthik Mahadevan
- Human-robot interaction & assistive robots
- DETUM
Felix Dietrich
- Probabilistic & causal inference
- GBUCL
Daniel Alexander
- Medical imaging & healthcare AI
- HKCUHK
Yixuan Yuan
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
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.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
SJTUcloses