Yu Lin
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (38) ๐ Academic Marathon ยท Sprint ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
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Keyword Champion
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Renaissance Researcher
(7)
๐ฅ
Unstoppable ยท Bronze
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The Questioner
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Century Club ยท Bronze
๐๏ธ
Keyword Collector
(96)
Top co-authors
Research topics
Keywords
continual learning
(2)
neural network
(2)
graph neural network
(2)
representation learning
(2)
catastrophic forgetting
(2)
graph representation learning
(2)
text classification
(1)
image generation
(1)
contrastive learning
(1)
few-shot learning
(1)
multi-task learning
(1)
embedding space
(1)
privacy attack
(1)
causal discovery
(1)
medical imaging
(1)
semi-supervised learning
(1)
point cloud generation
(1)
prototype learning
(1)
text generation
(1)
3d reconstruction
(1)
Papers
SยฒTeacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
AAAI 2026
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
CVPR 2025
ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks
ACL 2025
Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
ICLR 2025
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference
EMNLP 2024
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
CVPR 2024
Dual Contrastive Learning Framework for Incremental Text Classification
EMNLP 2023
MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework
EMNLP 2023
Controllable Fake Document Infilling for Cyber Deception
EMNLP 2022
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
NeurIPS 2022
Improving Contextual Representation with Gloss Regularized Pre-training
NAACL 2022
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
AAAI 2022
Attention-Based Spatial Guidance for Image-to-Image Translation
WACV 2021
Single View Point Cloud Generation via Unified 3D Prototype
AAAI 2021
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract)
AAAI 2020
SetConv: A New Approach for Learning from Imbalanced Data
EMNLP 2020