Shuo Huang
11 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (50)
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Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
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Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Generation
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Speech & Audio
(1)
Analysis
(1)
Keywords
neural network
(2)
text rewriting
(2)
semantic parsing
(2)
representation learning
(1)
semi-supervised learning
(1)
adversarial robustness
(1)
zero-shot learning
(1)
variational inference
(1)
transfer learning
(1)
causal discovery
(1)
brain connectivity
(1)
curriculum learning
(1)
attention mechanism
(1)
data augmentation
(1)
multimodal learning
(1)
few-shot learning
(1)
unsupervised domain adaptation
(1)
functional magnetic resonance imaging
(1)
correlation clustering
(1)
learning theory
(1)
Papers
IEBGL:An Interpretability-Enhanced Brain Graph Learning Framework with LLM-Instructed Topology and Literature-Augmented Semantics
CVPR 2026
Multistage Alignment and Fusion for Multimodal Multiclass Alzheimer’s Disease Diagnosis
MICCAI 2025
Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis
MICCAI 2025
NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
EMNLP 2025
Towards a learning theory of representation alignment
ICLR 2025
Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search
EMNLP 2025
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices
EMNLP 2023
Few-Shot Semantic Parsing for New Predicates
EACL 2021
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach
AAAI 2021
On Robustness of Neural Semantic Parsers
EACL 2021