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Zhewei Wei

23 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🌍 Conference Polyglot (8)
🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ’Ž Century Club (22) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (85) πŸ”₯ Unstoppable (6)

Conferences

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

Papers

GRAPHIA: Harnessing Social Graph Data to Enhance LLM-Based Social Simulation ACL 2026 Dimension-Free Adaptive Subgradient Methods with Frequent Directions ICML 2025 TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics ICLR 2025 Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier ICLR 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Advancing Retrosynthesis with Retrieval-Augmented Graph Generation AAAI 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived ICML 2025 LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025 PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters ICLR 2024 Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level NIPS 2024 S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search NIPS 2024 SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent EMNLP 2024 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 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 NIPS 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022 Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021 Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020 Simple and Deep Graph Convolutional Networks ICML 2020