Skip to content
conftrace_

Ziwei Zhang

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (52) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (20) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (18) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (120)

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