Yu Lin
16 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (5) π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (41)
π§
Keyword Pioneer
π
Conference Polyglot
(8)
π
Keyword Champion
π
Century Club
(15)
β
The Questioner
ποΈ
Keyword Collector
(94)
π₯
Unstoppable
(6)
Conferences
EMNLP (5)
AAAI (4)
CVPR (2)
ACL (1)
ICLR (1)
NAACL (1)
NIPS (1)
WACV (1)
Top co-authors
Research topics
Keywords
catastrophic forgetting
(2)
graph neural network
(2)
graph representation learning
(2)
continual learning
(2)
neural network
(2)
prototype learning
(1)
contrastive learning
(1)
representation learning
(1)
image generation
(1)
few-shot learning
(1)
embedding space
(1)
text classification
(1)
privacy attack
(1)
point cloud generation
(1)
text generation
(1)
semi-supervised learning
(1)
medical imaging
(1)
masked language model
(1)
multimodal learning
(1)
3d reconstruction
(1)
Papers
SΒ²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
AAAI 2026
Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
ICLR 2025
ObfusLM: Privacy-preserving Language Model Service against Embedding Inversion Attacks
ACL 2025
Evolving High-Quality Rendering and Reconstruction in a Unified Framework with Contribution-Adaptive Regularization
CVPR 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
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning
AAAI 2022
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction
NIPS 2022
Improving Contextual Representation with Gloss Regularized Pre-training
NAACL 2022
Single View Point Cloud Generation via Unified 3D Prototype
AAAI 2021
Attention-Based Spatial Guidance for Image-to-Image Translation
WACV 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