Mingkun Xu
11 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π Academic Marathon (5) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (27)
π
Academic Marathon
(5)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
π
Century Club
(11)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(57)
Conferences
AAAI (4)
CVPR (2)
ICML (2)
ACML (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(2)
foundation model
(2)
robotic manipulation
(2)
semantic segmentation
(1)
image captioning
(1)
domain adaptation
(1)
imitation learning
(1)
data augmentation
(1)
neural machine translation
(1)
multimodal learning
(1)
multi-view learning
(1)
emotion recognition
(1)
incremental learning
(1)
hebbian learning
(1)
synaptic plasticity
(1)
graph learning
(1)
hebbian plasticity
(1)
generative model
(1)
spiking neuron
(1)
few-shot learning
(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
RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
CVPR 2025
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation
CVPR 2025
Efficient ANN-SNN Conversion with Error Compensation Learning
ICML 2025
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency
AAAI 2025
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations
AAAI 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