Victor Shea-Jay Huang
5 papers · 2025–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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Rising Star
(5)
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Research topics
Deep Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Computer Vision
(2)
Machine Learning
(2)
Architectures
(2)
Generation
(2)
Learning Types
(2)
Models
(2)
Natural Language Processing
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Resources & Methods
(1)
Keywords
diffusion transformer
(2)
transformer architecture
(1)
image generation
(1)
hyperparameter optimization
(1)
video generation
(1)
multimodal learning
(1)
scaling law
(1)
vision-language model
(1)
supervised fine-tuning
(1)
multimodal large language model
(1)
sparse autoencoder
(1)
model scaling
(1)
large vision-language model
(1)
vision encoder
(1)
safety benchmark
(1)
video diffusion
(1)
video diffusion model
(1)
multi-image reasoning
(1)
attack success rate
(1)
reasoning process
(1)
Papers
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
ACL 2026
The Side Effects of Being Smart: Safety Risks in MLLMs’ Multi-Image Reasoning
ACL 2026
TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
AAAI 2026
Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
CVPR 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025