Yusong Wang
14 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (33) 🏆 Grand Slam 🗃️ Keyword Collector (75)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(9)
Artificial Intelligence
(8)
Architectures
(7)
Core AI · Artificial Intelligence
(7)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Computer Vision
(4)
Application Areas
(4)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Core AI · Computer Vision
(1)
Keywords
graph neural network
(3)
graph contrastive learning
(3)
equivariant graph neural network
(2)
long-range interaction
(2)
large language model
(2)
zero-shot learning
(2)
domain adaptation
(2)
multimodal emotion recognition
(2)
continual learning
(2)
domain generalization
(1)
cross-domain learning
(1)
neural machine translation
(1)
multimodal learning
(1)
image captioning
(1)
few-shot learning
(1)
catastrophic forgetting
(1)
data augmentation
(1)
message passing
(1)
graph representation learning
(1)
protein representation
(1)
Papers
Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation
AAAI 2026
Causal2Vec: Improving Decoder-only LLMs as Embedding Models through a Contextual Token
ACL 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
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
ICML 2025
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
NeurIPS 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
EMNLP 2024
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
ICLR 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NeurIPS 2024
Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism
ACML 2024
Geometric Transformer with Interatomic Positional Encoding
NeurIPS 2023
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimoda Emotion Recognition
EMNLP 2023