Zhewei Wei
23 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (8)
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
π£
Hot Topic Early Bird
π
Grand Slam
π
Triple Crown
π
Keyword Champion
(2)
π
Century Club
(22)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(85)
π₯
Unstoppable
(6)
Conferences
ICML (6)
NIPS (6)
ICLR (4)
ACL (3)
AAAI (1)
EMNLP (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
graph neural network
(8)
node classification
(5)
large language model
(4)
semi-supervised learning
(2)
polynomial filter
(2)
adversarial attack
(2)
graph generation
(2)
approximation theory
(2)
multi-agent system
(2)
adversarial robustness
(1)
attention mechanism
(1)
curriculum learning
(1)
knowledge distillation
(1)
language model adaptation
(1)
vision transformer
(1)
reinforcement learning
(1)
graph learning
(1)
message passing
(1)
decision making
(1)
kernel approximation
(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