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Zhewei Wei

24 papers · 2020–2026 · 9 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.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (49) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (14) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (131)

Venues

ICML (6) NeurIPS (6) ICLR (4) ACL (3) AAAI (1) EMNLP (1) IJCAI (1) UAI (1) WACV (1)

Top co-authors

Runlin Lei (4) Yaliang Li (4) zengfeng Huang (4) Bolin Ding (4) Zhen Wang (3) Yankai Lin (3) Jiarui Ji (3) Ji-Rong Wen (3) Hongteng Xu (3) Lu Yi (2)

Research topics

Machine Learning (20) Deep Learning (18) Architectures (15) Core Methods (11) Artificial Intelligence (9) Learning Types Β· Machine Learning (9) Core AI (8) Application Areas (6) Mathematics & Optimization (4) Learning Types Β· Deep Learning (4) Optimization (4) Optimization & Theory (3) Computer Science (2) Knowledge & Reasoning (2) Foundations (2)

Keywords

graph neural network (10) node classification (5) large language model (4) polynomial filter (3) regret bound (3) node embedding (2) multi-agent system (2) approximation theory (2) semi-supervised learning (2) graph generation (2) adversarial attack (2) attention mechanism (1) adversarial robustness (1) knowledge distillation (1) self-supervised learning (1) curriculum learning (1) vision transformer (1) reinforcement learning (1) graph learning (1) computational complexity (1)

Papers

Bandit Learning for Online Scheduling with Immediate Decision UAI 2026 GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation ACL 2026 Advancing Retrosynthesis with Retrieval-Augmented Graph Generation AAAI 2025 Dimension-Free Adaptive Subgradient Methods with Frequent Directions ICML 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived ICML 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier ICLR 2025 TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics ICLR 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction ICML 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level NeurIPS 2024 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 2024 S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search NeurIPS 2024 SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024 Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023 Uni-Mol: A Universal 3D Molecular Representation Learning Framework ICLR 2023 Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited NeurIPS 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NeurIPS 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 Scalable Graph Neural Networks via Bidirectional Propagation NeurIPS 2020 Simple and Deep Graph Convolutional Networks ICML 2020