Yun Lin
12 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🏆 Grand Slam
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Keyword Collector
(64)
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Century Club · Bronze
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Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI · Artificial Intelligence
(8)
Machine Learning
(6)
Deep Learning
(4)
Natural Language Processing
(4)
Core Methods
(4)
Computer Vision
(3)
Resources & Methods
(3)
Analysis
(2)
Application Areas
(2)
Optimization & Theory
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Applications · Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Keywords
large language model
(5)
code generation
(2)
label noise detection
(1)
few-shot learning
(1)
embedding space
(1)
knowledge distillation
(1)
model evaluation
(1)
deep learning
(1)
multimodal learning
(1)
text representation
(1)
in-context learning
(1)
video understanding
(1)
adversarial training
(1)
fine-grained classification
(1)
contrastive learning
(1)
model debugging
(1)
statistical testing
(1)
gradient descent
(1)
generalization error
(1)
representation learning
(1)
Papers
CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
ACL 2026
Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation
AAAI 2026
$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
ICLR 2025
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
ICML 2025
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
EMNLP 2024
Encoding Spreadsheets for Large Language Models
EMNLP 2024
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
EMNLP 2024
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
NeurIPS 2023
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
NeurIPS 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
AAAI 2022
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation
EMNLP 2022
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training
IJCAI 2022