Ke Yan
50 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (8) π Conference Polyglot (8) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (76)
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Taxonomy Completionist
(76)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
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Dynamic Duo
(20)
π¬
Deep Specialist
(11)
π₯
Mega-Team
(25)
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Century Club
(46)
π
Trend Setter
π₯
Unstoppable
(9)
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Keyword Collector
(189)
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Prolific Year
(13)
π
Conference Pioneer
Conferences
CVPR (14)
AAAI (11)
ICCV (10)
MICCAI (8)
ECCV (3)
ICML (2)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
computed tomography
(5)
medical imaging
(5)
self-supervised learning
(4)
contrastive learning
(4)
object detection
(4)
medical image segmentation
(4)
multimodal large language model
(3)
semi-supervised learning
(3)
metric learning
(3)
model compression
(3)
semantic segmentation
(3)
graph neural network
(3)
continual learning
(3)
representation learning
(3)
knowledge distillation
(3)
multi-task learning
(2)
preference optimization
(2)
anomaly detection
(2)
zero-shot learning
(2)
feature extraction
(2)
Papers
DΒ²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning
AAAI 2026
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
AAAI 2026
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
AAAI 2026
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
AAAI 2026
ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models
CVPR 2025
Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
ICCV 2025
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
ICCV 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
AAAI 2025
Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis
ICCV 2025
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
MICCAI 2025
Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts
MICCAI 2025
Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation
MICCAI 2025
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
ICML 2025
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts
ICLR 2025
HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss
ICCV 2025
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
AAAI 2025
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
CVPR 2025
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
CVPR 2024
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
AAAI 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding
AAAI 2024
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
CVPR 2024
Anchor-based Robust Finetuning of Vision-Language Models
CVPR 2024
LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
CVPR 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
NIPS 2024
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
ECCV 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
ICML 2024
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
MICCAI 2024
Improved Esophageal Varices Assessment from Non-Contrast CT Scans
MICCAI 2024
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
MICCAI 2024
Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion
MICCAI 2024
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning
MICCAI 2024
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
ICCV 2023
Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization
CVPR 2023
Inter-image Contrastive Consistency for Multi-Person Pose Estimation
AAAI 2023
Few-Shot Object Detection via Variational Feature Aggregation
AAAI 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans
ICCV 2023
Lifelong Person Re-identification by Pseudo Task Knowledge Preservation
AAAI 2022
SIOD: Single Instance Annotated per Category per Image for Object Detection
CVPR 2022
Location-Free Human Pose Estimation
CVPR 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
CVPR 2022
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification
ECCV 2022
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition
CVPR 2021
Heterogeneous Relational Complement for Vehicle Re-Identification
ICCV 2021
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
CVPR 2021
Transformer-Based Dual Relation Graph for Multi-Label Image Recognition
ICCV 2021
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
ECCV 2020
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology
CVPR 2019
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
CVPR 2018
Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles
ICCV 2017