Bowen Du
13 papers · 2019–2026 · 6 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 (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(78)
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Architectures
(7)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Data Science & Analytics
(4)
Applications
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Methods Β· Data Science & Analytics
(2)
Methods Β· Reinforcement Learning
(2)
Techniques
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Interdisciplinary
(1)
Keywords
temporal dependencies
(3)
graph neural network
(3)
link prediction
(3)
node classification
(2)
offline reinforcement learning
(1)
policy optimization
(1)
multi-agent reinforcement learning
(1)
diffusion model
(1)
event camera
(1)
self-supervised learning
(1)
graph representation learning
(1)
continuous-time learning
(1)
dynamic vision sensor
(1)
pattern recognition
(1)
sequence prediction
(1)
dynamic graph learning
(1)
set prediction
(1)
generative model
(1)
temporal dynamics
(1)
contrastive learning
(1)
Papers
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
AAAI 2026
UNO! UNified Offline Training Paradigm for Learning Path Recommendation
AAAI 2026
An NCDE-based Framework for Universal Representation Learning of Time Series
IJCAI 2024
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
AAAI 2023
Continuous-Time Graph Learning for Cascade Popularity Prediction
IJCAI 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
AAAI 2023
Predicting Temporal Sets with Simplified Fully Connected Networks
AAAI 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
EMNLP 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
NeurIPS 2023
Cross-Domain Few-Shot Semantic Segmentation
ECCV 2022
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
AAAI 2021
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
IJCAI 2020
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors
CVPR 2019