Shao-Lun Huang
16 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (50)
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Renaissance Researcher
(6)
π
Interdisciplinary Bridge
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Academic Marathon
(6)
π§¬
Topic Evolution
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Trend Setter
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Century Club
(15)
π₯
Unstoppable
(7)
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Conference Pioneer
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Keyword Collector
(95)
Conferences
AAAI (5)
NIPS (4)
ICLR (2)
ACL (1)
COLING (1)
CVPR (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
influence function
(2)
video generation
(2)
domain adaptation
(2)
dimensionality reduction
(1)
semi-supervised learning
(1)
adversarial robustness
(1)
contrastive learning
(1)
variational inference
(1)
transfer learning
(1)
optimal transport
(1)
feature extraction
(1)
information bottleneck
(1)
object detection
(1)
risk management
(1)
image classification
(1)
data subsampling
(1)
knowledge transfer
(1)
data augmentation
(1)
relation extraction
(1)
active learning
(1)
Papers
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
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation
NIPS 2024
Task Oriented In-Domain Data Augmentation
EMNLP 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
PAC-Bayes Information Bottleneck
ICLR 2022
Finding Influential Instances for Distantly Supervised Relation Extraction
COLING 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022
Revisiting Sparse Convolutional Model for Visual Recognition
NIPS 2022
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
NIPS 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
CVPR 2021
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NIPS 2020
An Efficient Approach to Informative Feature Extraction from Multimodal Data
AAAI 2019