Mingkun Xu
12 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Research topics
Deep Learning
(10)
Machine Learning
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Artificial Intelligence
(7)
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(6)
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Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
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Core Methods
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Models
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
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Robotics
(1)
Keywords
spiking neural network
(2)
graph contrastive learning
(2)
foundation model
(2)
robotic manipulation
(2)
graph neural network
(2)
multimodal learning
(1)
imitation learning
(1)
zero-shot learning
(1)
graph representation learning
(1)
graph learning
(1)
data augmentation
(1)
neural machine translation
(1)
few-shot learning
(1)
image captioning
(1)
video understanding
(1)
causal reasoning
(1)
incremental learning
(1)
protein representation
(1)
hebbian learning
(1)
emotion recognition
(1)
Papers
Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation
AAAI 2026
MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning
AAAI 2026
Streaming Video Crime Anticipation with Spatio-Temporal Causal Reasoning
CVPR 2026
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
AAAI 2025
Efficient ANN-SNN Conversion with Error Compensation Learning
ICML 2025
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
CVPR 2025
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
AAAI 2025
RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
CVPR 2025
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
EMNLP 2024
Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism
ACML 2024
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
IJCAI 2021