Xin Mu
7 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (7) π Cross-Pollinator (15)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
Conferences
AAAI (3)
ACL (2)
EMNLP (1)
IJCAI (1)
Top co-authors
Research topics
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)
biomedical text
(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
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking
EMNLP 2023
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 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