Ziyan Huang
9 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (21) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird
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Cross-Pollinator
(11)
🌈
Renaissance Researcher
(6)
👥
Mega-Team
(53)
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The Questioner
Conferences
AAAI (2)
EMNLP (2)
NIPS (2)
ICCV (1)
MICCAI (1)
MIDL (1)
Top co-authors
Research topics
Keywords
medical imaging
(4)
vision-language model
(3)
visual question answering
(3)
multimodal learning
(2)
benchmark evaluation
(2)
computed tomography
(2)
medical image segmentation
(2)
semantic consistency
(1)
universal segmentation
(1)
self-supervised learning
(1)
instance segmentation
(1)
multimodal large language model
(1)
neural architecture search
(1)
out-of-distribution generalization
(1)
synthetic datum
(1)
benchmark dataset
(1)
hierarchical reasoning
(1)
knowledge distillation
(1)
domain generalization
(1)
image segmentation
(1)
Papers
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI
AAAI 2026
ReLoop: “Seeing Twice and Thinking Backwards” via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
EMNLP 2025
Prior-guided Prototype Aggregation Learning for Alzheimer’s Disease Diagnosis
MICCAI 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
ICCV 2025
PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology
EMNLP 2025
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
NIPS 2024
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search
MIDL 2022