Kaiqun Fu
7 papers · 2019–2023 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
📈
Trend Setter
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Architectures
(5)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Applications · Data Science & Analytics
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications · Natural Language Processing
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
attention mechanism
(2)
temporal point process
(2)
citation forecasting
(2)
graph learning
(2)
sequence-to-sequence model
(2)
graph representation
(1)
greedy optimization
(1)
wavelet transform
(1)
approximate optimization
(1)
neural network model
(1)
neural network optimization
(1)
compositional representation
(1)
spatio-temporal analysis
(1)
recurrent neural network
(1)
partial differential equation
(1)
physics-informed neural network
(1)
boundary condition
(1)
deep learning
(1)
self-supervised learning
(1)
natural language processing
(1)
Papers
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract)
AAAI 2023
PanTop: Pandemic Topic Detection and Monitoring System (Student Abstract)
AAAI 2023
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
AAAI 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
AAAI 2022
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)
AAAI 2022
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
AAAI 2021
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
IJCAI 2019