S. Kevin Zhou
38 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
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Interdisciplinary Bridge
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Hot Topic Early Bird
🌍
Conference Polyglot
(9)
🧬
Topic Evolution
🌱
Topic Pioneer
🏆
Keyword Champion
(2)
🔥
Unstoppable
(7)
⚡
Prolific Year
(13)
🚀
Conference Pioneer
💎
Century Club
(37)
❓
The Questioner
🗃️
Keyword Collector
(136)
Conferences
MICCAI (13)
CVPR (8)
IJCAI (4)
WACV (4)
AAAI (3)
NIPS (3)
COLING (1)
ECCV (1)
MIDL (1)
Top co-authors
Keywords
medical imaging
(6)
image reconstruction
(4)
computed tomography
(3)
large language model
(3)
generative adversarial network
(2)
zero-shot learning
(2)
contrastive learning
(2)
semi-supervised learning
(2)
ct imaging
(2)
out-of-distribution detection
(2)
weakly supervised learning
(2)
deep learning
(2)
mri reconstruction
(2)
visual perception
(1)
pose estimation
(1)
image restoration
(1)
few-shot learning
(1)
unsupervised learning
(1)
feature learning
(1)
representation learning
(1)
Papers
MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text
AAAI 2026
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and their Applications in Supervising Image Reconstruction
WACV 2025
MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification
IJCAI 2025
Prototype-based Optimal Transport for Out-of-Distribution Detection
IJCAI 2025
Dyna3DGR: 4D Cardiac Motion Tracking with Dynamic 3D Gaussian Representation
MICCAI 2025
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV
MICCAI 2025
SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training
MICCAI 2025
RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration
MICCAI 2025
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
MICCAI 2025
PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation
MICCAI 2025
NeRF-based CBCT Reconstruction needs Normalization and Initialization
MICCAI 2025
PostoMETRO: Pose Token Enhanced Mesh Transformer for Robust 3D Human Mesh Recovery
WACV 2025
More performant and scalable: Rethinking contrastive vision-language pre-training of radiology in the LLM era
MICCAI 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
CVPR 2025
3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
MICCAI 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
NIPS 2024
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection
AAAI 2024
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
CVPR 2024
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
IJCAI 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
Hierarchical multiple instance learning for COPD grading with relatively specific similarity
MICCAI 2024
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
MICCAI 2024
See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos
MICCAI 2024
SIX-Net: Spatial-context Information miX-up for Electrode Landmark Detection
MICCAI 2024
Distortion-Disentangled Contrastive Learning
WACV 2024
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NIPS 2023
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
NIPS 2023
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency
ECCV 2022
Which Images To Label for Few-Shot Medical Landmark Detection?
CVPR 2022
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis
COLING 2022
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors
AAAI 2021
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
CVPR 2021
Shallow Feature Matters for Weakly Supervised Object Localization
CVPR 2021
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
CVPR 2020
Towards multi-sequence MR image recovery from undersampled k-space data
MIDL 2020
One-to-one Mapping for Unpaired Image-to-image Translation
WACV 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
CVPR 2020
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation
CVPR 2019