Wanyu Lin
17 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Deep Learning
(14)
Machine Learning
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Artificial Intelligence
(9)
Core AI
(8)
Architectures
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Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
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Models
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Computer Vision
(1)
Interdisciplinary
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Knowledge & Reasoning
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Reinforcement Learning
(1)
Security & Privacy
(1)
Keywords
graph neural network
(7)
generative model
(3)
large language model
(2)
geometric deep learning
(2)
multi-agent collaboration
(2)
causal inference
(2)
node classification
(2)
neural network security
(1)
algorithmic fairness
(1)
metric learning
(1)
optimal transport
(1)
knowledge distillation
(1)
bipartite matching
(1)
depth estimation
(1)
backdoor defense
(1)
feature extraction
(1)
few-shot learning
(1)
class-incremental learning
(1)
flow matching
(1)
image restoration
(1)
Papers
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
AAAI 2026
MMCP-GEN: A Modality-Extensible Diffusion Language Model for Conditional Protein Sequence Generation
CVPR 2026
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
AAAI 2026
S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning
AAAI 2026
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
ICLR 2025
Backdoor Defense via Enhanced Splitting and Trap Isolation
ICCV 2025
HPS: Hard Preference Sampling for Human Preference Alignment
ICML 2025
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
ICML 2025
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
ICML 2025
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
AAAI 2024
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
AAAI 2024
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration
ICML 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
NeurIPS 2024
Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs
AAAI 2023
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
CVPR 2022
Generative Causal Explanations for Graph Neural Networks
ICML 2021
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data
CVPR 2020