Yinda Chen
10 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (10) π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (27)
π
Interdisciplinary Bridge
π
Keyword Champion
(3)
π
Century Club
(10)
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
Conferences
AAAI (3)
MICCAI (2)
ACL (1)
CVPR (1)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
neuron segmentation
(3)
self-supervised learning
(2)
electron microscopy
(2)
multi-agent reinforcement learning
(1)
image segmentation
(1)
iterative optimization
(1)
semantic segmentation
(1)
medical imaging
(1)
knowledge distillation
(1)
bird's eye view
(1)
image compression
(1)
synthetic data generation
(1)
synthetic datum
(1)
sparse model
(1)
diffusion model
(1)
zero-shot learning
(1)
mamba architecture
(1)
vision-language model
(1)
vision-language pre-training
(1)
neural network pruning
(1)
Papers
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
AAAI 2026
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert
AAAI 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
ICCV 2025
Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression
AAAI 2025
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
ICML 2025
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
MICCAI 2024
Joint EM Image Denoising and Segmentation with Instance-aware Interaction
MICCAI 2024
Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation
CVPR 2024
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning
IJCAI 2023