Xiaomeng Li
50 papers · 2021–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (59) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Mega-Team Β· Legion
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Dynamic Duo
(12)
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Deep Specialist
(11)
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Conference Pioneer
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Century Club Β· Silver
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The Questioner
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Keyword Collector
(164)
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Prolific Year Β· Prolific
Top co-authors
Research topics
Machine Learning
(23)
Computer Vision
(17)
Learning Types Β· Machine Learning
(14)
Deep Learning
(12)
Domain-Specific
(12)
Artificial Intelligence
(11)
Application Areas
(10)
Core AI
(9)
Healthcare & Medicine
(7)
Clinical
(7)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(6)
Analysis
(5)
Models
(5)
Architectures
(3)
Keywords
medical imaging
(7)
domain adaptation
(6)
semi-supervised learning
(6)
contrastive learning
(5)
unsupervised domain adaptation
(4)
medical image segmentation
(4)
semantic segmentation
(3)
multimodal large language model
(3)
domain generalization
(3)
uncertainty estimation
(2)
graph neural network
(2)
pseudo label
(2)
representation learning
(2)
ordinal regression
(2)
object detection
(2)
multimodal learning
(2)
image generation
(1)
temporal modeling
(1)
few-shot learning
(1)
feature learning
(1)
Papers
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation
AAAI 2026
Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries
ACL 2026
OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation
AAAI 2026
Prompt Yourself: Awakening Textual Semantics in 1D Visual Tokenizers
CVPR 2026
Scaling and Transferability of Annealing Strategies in Large Language Model Training
AAAI 2026
TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection
CVPR 2026
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos
MICCAI 2025
CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
MICCAI 2025
Concept-Based Unsupervised Domain Adaptation
ICML 2025
Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction
MICCAI 2025
EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography
MICCAI 2025
Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model
MICCAI 2025
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
ICLR 2025
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation
AAAI 2025
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
MICCAI 2025
MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification
MICCAI 2025
Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models
MICCAI 2025
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation
CVPR 2025
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction
ICCV 2025
Token Activation Map to Visually Explain Multimodal LLMs
ICCV 2025
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction
MICCAI 2025
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CVPR 2024
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis
MICCAI 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding
NeurIPS 2024
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
CVPR 2024
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos
ECCV 2024
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
ICLR 2024
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images
MICCAI 2024
Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier
MICCAI 2024
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis
MICCAI 2024
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models
CVPR 2024
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
MICCAI 2024
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
CVPR 2024
Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
MICCAI 2024
Teach CLIP to Develop a Number Sense for Ordinal Regression
ECCV 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS 2024
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
MICCAI 2024
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
ICML 2024
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
ICCV 2023
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation
ICCV 2023
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
NeurIPS 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks
AAAI 2023
Towards Distribution-Agnostic Generalized Category Discovery
NeurIPS 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
NeurIPS 2023
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
AAAI 2022
Learning Shadow Correspondence for Video Shadow Detection
ECCV 2022
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning
CVPR 2022
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
AAAI 2022
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
AAAI 2022
Support-Set Based Cross-Supervision for Video Grounding
ICCV 2021