Wei Ai
12 papers · 2024–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (66)
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(7)
Application Areas
(7)
Deep Learning
(6)
Core AI
(6)
Learning Types · Machine Learning
(5)
Natural Language Processing
(4)
Architectures
(4)
Applications
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Learning Types · Deep Learning
(2)
Models
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Keywords
graph neural network
(4)
large language model
(3)
knowledge distillation
(2)
domain generalization
(2)
multimodal emotion recognition
(2)
multimodal learning
(2)
text classification
(2)
sentiment analysis
(1)
causal reasoning
(1)
sample efficiency
(1)
in-context learning
(1)
data augmentation
(1)
emotion recognition
(1)
parallel corpus
(1)
machine translation
(1)
domain adaptation
(1)
reinforcement learning from human feedback
(1)
model merging
(1)
skill discovery
(1)
policy learning
(1)
Papers
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
EACL 2026
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation
EACL 2026
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation
COLING 2025
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum
IJCAI 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
AAAI 2025
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
EMNLP 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
ACL 2024
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
NAACL 2024