Xin Mu
7 papers · 2017–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Applications
(3)
Application Areas
(2)
Core Methods
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Architectures
(1)
Core AI
(1)
Models
(1)
Keywords
contrastive learning
(2)
text classification
(1)
multi-objective optimization
(1)
model robustness
(1)
multilingual nlp
(1)
entity linking
(1)
multi-label classification
(1)
deep learning
(1)
event correlation
(1)
query selection
(1)
instance selection
(1)
machine learning security
(1)
crowdsourcing annotation
(1)
cost-sensitive learning
(1)
hierarchical classification
(1)
generative model
(1)
evolutionary algorithm
(1)
intellectual property protection
(1)
pre-trained language model
(1)
active learning
(1)
Papers
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
ACL 2024
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 2023
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking
EMNLP 2023
Human Assisted Learning by Evolutionary Multi-Objective Optimization
AAAI 2023
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
ACL 2019
Cost-Effective Active Learning from Diverse Labelers
IJCAI 2017