Wei Ai
12 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (33) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6)
π
Cross-Pollinator
(13)
ποΈ
Keyword Collector
(66)
π
Century Club
(10)
β‘
Prolific Year
(6)
Conferences
NAACL (3)
ACL (2)
EACL (2)
EMNLP (2)
AAAI (1)
COLING (1)
IJCAI (1)
Top co-authors
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
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation
EACL 2026
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
EACL 2026
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum
IJCAI 2025
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation
COLING 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
AAAI 2025
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
NAACL 2025
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
NAACL 2025
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
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education
NAACL 2024