Hailin Hu
8 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🧭 Keyword Pioneer ❓ The Questioner (2)
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Research topics
Machine Learning
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Deep Learning
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Artificial Intelligence
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Core AI
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Computer Vision
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Core Methods
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Analysis
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Natural Language Processing
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Keywords
catastrophic forgetting
(1)
benchmark evaluation
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vision transformer
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domain generalization
(1)
binary classification
(1)
domain adaptation
(1)
anomaly detection
(1)
object detection
(1)
prototype learning
(1)
video generation
(1)
video classification
(1)
self-supervised learning
(1)
attention mechanism
(1)
multimodal learning
(1)
deepfake detection
(1)
sequential learning
(1)
parameter regularization
(1)
temporal analysis
(1)
generative model
(1)
representation learning
(1)
Papers
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
AAAI 2026
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
EMNLP 2025
From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?
EMNLP 2025
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
AAAI 2025
Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
CVPR 2025
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
NeurIPS 2023
Less is More: Focus Attention for Efficient DETR
ICCV 2023
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
ICLR 2022