Yuexiang Li

28 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🏃 Academic Marathon (5)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (7) 🤝 Dynamic Duo (23) 💎 Century Club (28) 🚀 Conference Pioneer 🗃️ Keyword Collector (107) ⚡ Prolific Year (7)

Conferences

AAAI (7) CVPR (6) MICCAI (4) NIPS (4) ECCV (3) ICCV (3) IJCAI (1)

Top co-authors

Yefeng Zheng (23) Yawen Huang (18) Hao Zheng (9) Jingjun Yi (8) Qi Bi (8) Huimin Huang (7) Haolan Zhan (7) Wei Ji (7) Jinheng Xie (5) Yen-Wei Chen (4)

Keywords

domain generalization (5) semantic segmentation (5) medical image segmentation (4) generative adversarial network (4) domain adaptation (3) image generation (3) state space model (3) semi-supervised learning (2) manifold learning (2) convolutional neural network (2) diffusion model (2) dense prediction (2) image restoration (1) vision transformer (1) variational inference (1) representation learning (1) video generation (1) online learning (1) object detection (1) curriculum learning (1)

Papers

Temporal Model-Based Federated Active Medical Image Classification MICCAI 2025 D-CAM: Learning Generalizable Weakly-Supervised Medical Image Segmentation from Domain-invariant CAM MICCAI 2025 DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization AAAI 2025 S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation AAAI 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 A Simple yet Mighty Hartley Diffusion Versatilist for Generalizable Dense Vision Tasks ICCV 2025 NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation CVPR 2025 Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models CVPR 2024 Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NIPS 2024 Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NIPS 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024 Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024 A New Perspective to Boost Performance Fairness For Medical Federated Learning MICCAI 2024 Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation MICCAI 2024 SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation CVPR 2023 Interactive Segmentation As Gaussion Process Classification CVPR 2023 Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023 BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion ICCV 2023 ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation AAAI 2023 Learning Visual Prior via Generative Pre-Training NIPS 2023 AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023 Dynamically Masked Discriminator for GANs NIPS 2023 FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs ICCV 2023 Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks ECCV 2022 Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022 Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation ECCV 2020 Dual Adversarial Network for Deep Active Learning ECCV 2020 Generative Adversarial Networks for Video-to-Video Domain Adaptation AAAI 2020