Quanzheng Li
20 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (14)
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Academic Marathon
(7)
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Cross-Pollinator
(11)
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Renaissance Researcher
(5)
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Grand Slam
π€
Dynamic Duo
(11)
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Century Club
(18)
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Conference Pioneer
β‘
Prolific Year
(6)
Conferences
MICCAI (10)
ICLR (3)
AAAI (2)
ICML (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
domain adaptation
(2)
nonconvex optimization
(1)
image restoration
(1)
preference alignment
(1)
multimodal learning
(1)
composite optimization
(1)
model architecture
(1)
parameter-efficient transfer learning
(1)
image denoising
(1)
stochastic control
(1)
manifold optimization
(1)
proximal operator
(1)
zero-shot generalization
(1)
second-order method
(1)
superlinear convergence
(1)
visual instruction tuning
(1)
differential equation
(1)
missing modality
(1)
semismooth newton method
(1)
brain tumor segmentation
(1)
Papers
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
AAAI 2026
Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation
AAAI 2026
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
ICML 2025
ECHOPulse: ECG Controlled Echocardio-gram Video Generation
ICLR 2025
Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
MICCAI 2025
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
ICLR 2025
MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts
MICCAI 2025
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
MICCAI 2025
Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
MICCAI 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
MICCAI 2024
Biomedical Visual Instruction Tuning with Clinician Preference Alignment
NIPS 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity
JMLR 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
MICCAI 2024
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
MICCAI 2024
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
MICCAI 2024
Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
MICCAI 2024
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting
MICCAI 2024
Unsupervised Image Denoising with Score Function
NIPS 2023
FedDAR: Federated Domain-Aware Representation Learning
ICLR 2023
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
ICML 2018