Ziwei Zhang
28 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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(20)
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(2)
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(18)
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(6)
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Keyword Collector
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Research topics
Deep Learning
(21)
Machine Learning
(21)
Architectures
(20)
Learning Types Β· Machine Learning
(14)
Artificial Intelligence
(11)
Application Areas
(10)
Core AI
(8)
Core Methods
(6)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(4)
Learning Paradigms
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Keywords
graph neural network
(15)
neural architecture search
(10)
graph neural architecture search
(8)
distribution shift
(6)
domain generalization
(5)
dynamic graph
(4)
out-of-distribution generalization
(4)
invariant learning
(3)
curriculum learning
(3)
graph representation learning
(3)
self-supervised learning
(3)
disentangled representation
(3)
dynamic graph neural network
(2)
contrastive learning
(2)
adversarial robustness
(2)
adversarial attack
(2)
link prediction
(2)
graph attention
(2)
graph classification
(2)
invariant pattern
(2)
Papers
Invariant Conditional Molecular Generation Under Distribution Shift
AAAI 2026
PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance
AAAI 2026
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
AAAI 2026
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
AAAI 2025
Kill two birds with one stone: generalized and robust AI-generated text detection via dynamic perturbations
NAACL 2025
Teller: Real-Time Streaming Audio-Driven Portrait Animation with Autoregressive Motion Generation
CVPR 2025
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
ICML 2024
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
ICML 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Adversarially Robust Neural Architecture Search for Graph Neural Networks
CVPR 2023
AutoGT: Automated Graph Transformer Architecture Search
ICLR 2023
Dynamic Heterogeneous Graph Attention Neural Architecture Search
AAAI 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
NeurIPS 2023
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
NeurIPS 2023
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
NeurIPS 2023
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
NeurIPS 2023
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
NeurIPS 2022
Graph Neural Architecture Search Under Distribution Shifts
ICML 2022
Large-Scale Graph Neural Architecture Search
ICML 2022
Learning Invariant Graph Representations for Out-of-Distribution Generalization
NeurIPS 2022
Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum
AAAI 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NeurIPS 2022
Parametric Visual Program Induction with Function Modularization
ICML 2022
Automated Machine Learning on Graphs: A Survey
IJCAI 2021
Disentangled Contrastive Learning on Graphs
NeurIPS 2021
Correlating Edge, Pose With Parsing
CVPR 2020
Power-law Distribution Aware Trust Prediction
IJCAI 2018