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← Authors

Ziwei Zhang

28 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏆 Keyword Champion (7) 🤝 Dynamic Duo (20) 🔬 Deep Specialist (16) 🏆 Grand Slam 🗃️ Keyword Collector (108) ⚡ Prolific Year (7) 💎 Century Club (25) 🔥 Unstoppable (6)

Conferences

AAAI (8) NIPS (8) ICML (5) CVPR (3) IJCAI (2) ICLR (1) NAACL (1)

Top co-authors

Wenwu Zhu (20) Xin Wang (20) Zeyang Zhang (8) Haoyang Li (7) Yijian Qin (7) Hong Chen (4) Zhou Qin (3) Chaoyu Guan (2) Haonan Yuan (2) Jianxin Li (2)

Keywords

graph neural network (15) neural architecture search (9) graph neural architecture search (7) distribution shift (6) domain generalization (5) dynamic graph (4) invariant learning (3) curriculum learning (3) out-of-distribution generalization (3) self-supervised learning (3) graph representation learning (3) dynamic graph neural network (2) link prediction (2) invariant pattern (2) adversarial attack (2) disentangled representation (2) graph classification (2) adversarial robustness (2) graph attention (2) pose estimation (1)

Papers

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance AAAI 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Teller: Real-Time Streaming Audio-Driven Portrait Animation with Autoregressive Motion Generation CVPR 2025 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 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Multimodal Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NIPS 2023 Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum NIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023 Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision NIPS 2023 Dynamic Heterogeneous Graph Attention Neural Architecture Search AAAI 2023 AutoGT: Automated Graph Transformer Architecture Search ICLR 2023 Parametric Visual Program Induction with Function Modularization ICML 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Graph Neural Architecture Search Under Distribution Shifts ICML 2022 Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum AAAI 2022 Learning Invariant Graph Representations for Out-of-Distribution Generalization NIPS 2022 Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift NIPS 2022 NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search NIPS 2022 Disentangled Contrastive Learning on Graphs NIPS 2021 Automated Machine Learning on Graphs: A Survey IJCAI 2021 Correlating Edge, Pose With Parsing CVPR 2020 Power-law Distribution Aware Trust Prediction IJCAI 2018