Shao-Lun Huang
17 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (50) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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(106)
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Century Club Β· Bronze
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Research topics
Machine Learning
(12)
Deep Learning
(9)
Artificial Intelligence
(8)
Learning Types Β· Machine Learning
(8)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Optimization & Theory
(5)
Application Areas
(4)
Core AI
(4)
Learning Paradigms
(4)
Analysis
(3)
Generation
(3)
Models
(3)
Natural Language Processing
(2)
Keywords
video generation
(3)
influence function
(2)
diffusion model
(2)
information bottleneck
(2)
variational inference
(2)
domain adaptation
(2)
multimodal learning
(2)
contrastive learning
(1)
image classification
(1)
feature alignment
(1)
transfer learning
(1)
risk management
(1)
feature extraction
(1)
dimensionality reduction
(1)
optimal transport
(1)
adversarial robustness
(1)
object detection
(1)
data subsampling
(1)
knowledge transfer
(1)
semi-supervised learning
(1)
Papers
Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
CVPR 2026
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
AAAI 2026
CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation
ICCV 2025
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
AAAI 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
NeurIPS 2024
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations
ACL 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
ICLR 2023
Finding Influential Instances for Distantly Supervised Relation Extraction
COLING 2022
PAC-Bayes Information Bottleneck
ICLR 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022
Revisiting Sparse Convolutional Model for Visual Recognition
NeurIPS 2022
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
NeurIPS 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
CVPR 2021
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NeurIPS 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
An Efficient Approach to Informative Feature Extraction from Multimodal Data
AAAI 2019