Yuexin Wu
19 papers · 2014–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Grand Slam
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Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(88)
Venues
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(9)
Core AI
(8)
Application Areas
(7)
Deep Learning
(6)
Natural Language Processing
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
Resources & Methods
(3)
Architectures
(2)
Generation Β· Computer Vision
(2)
Generation Β· Natural Language Processing
(2)
Learning Paradigms
(2)
Keywords
large language model
(4)
model compression
(3)
neural network
(2)
reinforcement learning
(2)
chain-of-thought prompting
(2)
knowledge distillation
(2)
contrastive learning
(1)
representation learning
(1)
stochastic optimization
(1)
sample efficiency
(1)
metric learning
(1)
vision transformer
(1)
domain adaptation
(1)
text classification
(1)
link prediction
(1)
deep reinforcement learning
(1)
knowledge transfer
(1)
attention mechanism
(1)
machine translation
(1)
self-supervised learning
(1)
Papers
LLaVA-SP: Enhancing Visual Representation with Visual Spatial Tokens for MLLMs
ICCV 2025
MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection
ACL 2025
Distilling Text Style Transfer With Self-Explanation From LLMs
NAACL 2024
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
ICLR 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
ICLR 2024
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision
EMNLP 2024
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
ICLR 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NeurIPS 2023
Large Language Models Can Self-Improve
EMNLP 2023
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
ICML 2022
Token Dropping for Efficient BERT Pretraining
ACL 2022
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text Classification
NAACL 2022
StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR 2019
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning
AAAI 2019
Contextual Encoding for Translation Quality Estimation
EMNLP 2018
Unsupervised Cross-lingual Transfer of Word Embedding Spaces
EMNLP 2018
Analogical Inference for Multi-relational Embeddings
ICML 2017
Review Networks for Caption Generation
NeurIPS 2016
Group based Self Training for E-Commerce Product Record Linkage
COLING 2014