Yang Lin
14 papers · 2019–2025 · 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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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (44)
π
Grand Slam
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Keyword Champion
(2)
ποΈ
Keyword Collector
(92)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(7)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(5)
Natural Language Processing
(4)
Architectures
(4)
Learning Types Β· Deep Learning
(3)
Techniques
(3)
Understanding
(3)
Computer Vision
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Keywords
document representation
(2)
label sparsity
(2)
large language model
(2)
model compression
(2)
neural network
(2)
few-shot learning
(1)
feature learning
(1)
post-training quantization
(1)
object detection
(1)
graph classification
(1)
optimal transport
(1)
attention mechanism
(1)
knowledge distillation
(1)
data augmentation
(1)
vision transformer
(1)
efficient inference
(1)
channel attention
(1)
text classification
(1)
semantic consistency
(1)
text generation
(1)
Papers
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
ICLR 2025
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
ICLR 2025
Taming the Real-world Complexities in CPT E/M Coding with Large Language Models
EMNLP 2025
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
ACL 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
ICML 2024
Spiking Neural Networks for Active Time-Resolved SPAD Imaging
WACV 2024
A Boundary Offset Prediction Network for Named Entity Recognition
EMNLP 2023
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words
ACL 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
NeurIPS 2023
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
EMNLP 2023
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
IJCAI 2022
Distance Metric Learning with Joint Representation Diversification
ICML 2020
MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction
IJCAI 2019