Zhewei Wei

Orcid: 0000-0003-3620-5086

According to our database¹, Zhewei Wei authored at least 104 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

A survey on large language model based autonomous agents.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2024

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

Efficient Algorithms for Personalized PageRank Computation: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2024

Index-free triangle-based graph local clustering.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., June, 2024

Optimal Matrix Sketching over Sliding Windows.

[BibT_eX]

[DOI]

Proc. VLDB Endow., May, 2024

Learning-based Property Estimation with Polynomials.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2024

Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the Expressiveness of GNNs: A Computational Model Perspective.

[BibT_eX]

[DOI]

Guanyu Cui

Zhewei Wei

Hsin-Hao Su

CoRR, 2024

S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable and Certifiable Graph Unlearning via Lazy Local Propagation.

[BibT_eX]

[DOI]

Lu Yi

Zhewei Wei

CoRR, 2024

Towards Effective and Efficient Continual Pre-training of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Very Large-Scale Multi-Agent Simulation in AgentScope.

[BibT_eX]

[DOI]

CoRR, 2024

YuLan: An Open-source Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level.

[BibT_eX]

[DOI]

CoRR, 2024

A survey of dynamic graph neural networks.

[BibT_eX]

[DOI]

Yanping Zheng

Lu Yi

Zhewei Wei

CoRR, 2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Revisiting Local Computation of PageRank: Simple and Optimal.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer.

[BibT_eX]

[DOI]

Jiahong Ma

Mingguo He

Zhewei Wei

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters.

[BibT_eX]

[DOI]

Jingyu Chen

Runlin Lei

Zhewei Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.

[BibT_eX]

[DOI]

Zhewei Wei

Ji-Rong Wen

Mingji Yang

Proceedings of the 27th International Conference on Database Theory, 2024

SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.

[BibT_eX]

[DOI]

Jie Peng

Runlin Lei

Zhewei Wei

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., October, 2023

Decoupled Graph Neural Networks for Large Dynamic Graphs.

[BibT_eX]

[DOI]

Yanping Zheng

Zhewei Wei

Jiajun Liu

Proc. VLDB Endow., 2023

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

Estimating Single-Node PageRank in Õ(min{d<sub>t</sub>, √m}) Time.

[BibT_eX]

[DOI]

Hanzhi Wang

Zhewei Wei

CoRR, 2023

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis.

[BibT_eX]

[DOI]

CoRR, 2023

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?

[BibT_eX]

[DOI]

CoRR, 2023

Optimal Dynamic Subset Sampling: Theory and Applications.

[BibT_eX]

[DOI]

Lu Yi

Hanzhi Wang

Zhewei Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Clenshaw Graph Neural Networks.

[BibT_eX]

[DOI]

Yuhe Guo

Zhewei Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MGNN: Graph Neural Networks Inspired by Distance Geometry Problem.

[BibT_eX]

[DOI]

Guanyu Cui

Zhewei Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks with Learnable and Optimal Polynomial Bases.

[BibT_eX]

[DOI]

Yuhe Guo

Zhewei Wei

Proceedings of the International Conference on Machine Learning, 2023

Uni-Mol: A Universal 3D Molecular Representation Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Dazhao Du

Bing Su

Zhewei Wei

Proceedings of the IEEE International Conference on Acoustics, 2023

On Range Summary Queries.

[BibT_eX]

[DOI]

Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

2022

Persistent Summaries.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2022

Influence Maximization Revisited: Efficient Sampling with Bound Tightened.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2022

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms.

[BibT_eX]

[DOI]

Yu Liu

Lei Zou

Zhewei Wei

IEEE Trans. Knowl. Data Eng., 2022

Approximating Probabilistic Group Steiner Trees in Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Edge-based Local Push for Personalized PageRank.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

GSN: A Universal Graph Neural Network Inspired by Spring Network.

[BibT_eX]

[DOI]

Guanyu Cui

Zhewei Wei

CoRR, 2022

Optimizing Random Access to Hierarchically-Compressed Data on GPU.

[BibT_eX]

[DOI]

Proceedings of the SC22: International Conference for High Performance Computing, 2022

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.

[BibT_eX]

[DOI]

Mingguo He

Zhewei Wei

Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Instant Graph Neural Networks for Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph Neural Networks with Node-wise Architecture.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Sampling-based Estimation of the Number of Distinct Values in Distributed Environment.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract).

[BibT_eX]

[DOI]

Yu Liu

Lei Zou

Zhewei Wei

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.

[BibT_eX]

[DOI]

VLDB J., 2021

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Learning to be a Statistician: Learned Estimator for Number of Distinct Values.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Massively Parallel Algorithms for Personalized PageRank.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Approximate Graph Propagation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Neural Networks Inspired by Classical Iterative Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A game-based framework for crowdsourced data labeling.

[BibT_eX]

[DOI]

VLDB J., 2020

SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2020

Exact Single-Source SimRank Computation on Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Scalable Graph Neural Networks via Bidirectional Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Personalized PageRank to a Target Node, Revisited.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Simple and Deep Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2019

Parallel Trajectory-to-Location Join.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Distribution-Aware Crowdsourced Entity Collection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Efficient Estimation of Heat Kernel PageRank for Local Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Management of Data, 2019

Scalable Graph Embeddings via Sparse Transpose Proximities.

[BibT_eX]

[DOI]

Yuan Yin

Zhewei Wei

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Parallel trajectory similarity joins in spatial networks.

[BibT_eX]

[DOI]

VLDB J., 2018

Optimal algorithms for selecting top-k combinations of attributes: theory and applications.

[BibT_eX]

[DOI]

VLDB J., 2018

Tight Space Bounds for Two-Dimensional Approximate Range Counting.

[BibT_eX]

[DOI]

Zhewei Wei

Ke Yi

ACM Trans. Algorithms, 2018

Cost-Effective Data Annotation using Game-Based Crowdsourcing.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Trajectory Similarity Join in Spatial Networks.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

FORA: Simple and Effective Approximate Single-Source Personalized PageRank.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Tracking Matrix Approximation over Distributed Sliding Windows.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Independent Range Sampling, Revisited.

[BibT_eX]

[DOI]

Peyman Afshani

Zhewei Wei

Proceedings of the 25th Annual European Symposium on Algorithms, 2017

2016

Collective Travel Planning in Spatial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Dynamic Shortest Path Monitoring in Spatial Networks.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2016

Matrix Sketching Over Sliding Windows.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015

Towards Maximum Independent Sets on Massive Graphs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Persistent Data Sketching.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014

Indexing for summary queries: Theory and practice.

[BibT_eX]

[DOI]

Ke Yi

Lu Wang

Zhewei Wei

ACM Trans. Database Syst., 2014

Cache-Oblivious Hashing.

[BibT_eX]

[DOI]

Algorithmica, 2014

Equivalence between Priority Queues and Sorting in External Memory.

[BibT_eX]

[DOI]

Zhewei Wei

Ke Yi

Proceedings of the Algorithms - ESA 2014, 2014

2013

Mergeable summaries.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2013

The Space Complexity of 2-Dimensional Approximate Range Counting.

[BibT_eX]

[DOI]

Zhewei Wei

Ke Yi

Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

2011

Beyond simple aggregates: indexing for summary queries.

[BibT_eX]

[DOI]

Zhewei Wei

Ke Yi

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

2009

Dynamic external hashing: the limit of buffering.

[BibT_eX]

[DOI]

Zhewei Wei

Ke Yi

Qin Zhang

Proceedings of the SPAA 2009: Proceedings of the 21st Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2009

Zhewei Wei

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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