Xiangnan Kong
6 papers · 2018–2024 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold
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Renaissance Researcher
(6)
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The Questioner
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications · Natural Language Processing
(1)
Applications · Data Science & Analytics
(1)
Keywords
knowledge amalgamation
(3)
knowledge distillation
(2)
transfer learning
(1)
text classification
(1)
graph clustering
(1)
attention mechanism
(1)
knowledge transfer
(1)
named entity recognition
(1)
multi-label classification
(1)
model merging
(1)
joint learning
(1)
sequence classification
(1)
human attention
(1)
electronic health record
(1)
attention map
(1)
label dependency
(1)
teacher-student model
(1)
sentence classification
(1)
node attribute
(1)
attributed graph
(1)
Papers
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
AAAI 2023
Semi-Supervised Knowledge Amalgamation for Sequence Classification
AAAI 2021
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events
EMNLP 2020
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
ACL 2020
Clustering Uncertain Graphs with Node Attributes
ACML 2018