Ke Yan

D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026 Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction 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 Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models CVPR 2026 AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025 Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception CVPR 2025 Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis ICCV 2025 Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss ICCV 2025 Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation MICCAI 2025 Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts MICCAI 2025 PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025 ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models CVPR 2025 SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025 ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts ICLR 2025 Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025 Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration ICML 2025 Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024 Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer ECCV 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 LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection CVPR 2024 LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024 MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning AAAI 2024 Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration CVPR 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 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 VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding AAAI 2024 Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis 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 Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 Inter-image Contrastive Consistency for Multi-Person Pose Estimation AAAI 2023 Expanding Low-Density Latent Regions for Open-Set Object Detection CVPR 2022 Lifelong Person Re-identification by Pseudo Task Knowledge Preservation AAAI 2022 Location-Free Human Pose Estimation CVPR 2022 SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification ECCV 2022 SIOD: Single Instance Annotated per Category per Image for Object Detection CVPR 2022 Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies CVPR 2021 Graph-Based High-Order Relation Discovery for Fine-Grained Recognition CVPR 2021 Heterogeneous Relational Complement for Vehicle Re-Identification ICCV 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