Kang He
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(26)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(4)
Applications
(4)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Architectures
(1)
Core Methods
(1)
Models
(1)
Keywords
multimodal sentiment analysis
(2)
modality fusion
(2)
zero-shot learning
(2)
domain adaptation
(1)
optimal transport
(1)
stance detection
(1)
logical reasoning
(1)
data augmentation
(1)
social media analysis
(1)
prompt engineering
(1)
cross-domain learning
(1)
multimodal learning
(1)
prompt-based learning
(1)
cross-modal learning
(1)
paraphrase generation
(1)
pseudo labeling
(1)
automated reasoning
(1)
semantic similarity
(1)
multimodal representation learning
(1)
natural language inference
(1)
Papers
Enhance-then-Balance Modality Collaboration for Robust Multimodal Sentiment Analysis
CVPR 2026
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis
AAAI 2026
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning
ACL 2025
LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
EMNLP 2025
Zero-Shot Conversational Stance Detection: Dataset and Approaches
ACL 2025
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
EMNLP 2024
Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis
ACL 2024