Zhewei Wei

Orcid: 0000-0003-3620-5086

According to our database1, Zhewei Wei authored at least 84 papers between 2009 and 2024.

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Bibliography

2024
A survey on large language model based autonomous agents.
Frontiers Comput. Sci., December, 2024

Index-free triangle-based graph local clustering.
Frontiers Comput. Sci., June, 2024

Revisiting Local Computation of PageRank: Simple and Optimal.
CoRR, 2024

Efficient Algorithms for Personalized PageRank Computation: A Survey.
CoRR, 2024

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR, 2024

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees.
Proceedings of the 27th International Conference on Database Theory, 2024

2023
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms.
IEEE Trans. Parallel Distributed Syst., October, 2023

Decoupled Graph Neural Networks for Large Dynamic Graphs.
Proc. VLDB Endow., 2023

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.
Proc. ACM Manag. Data, 2023

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
CoRR, 2023

Estimating Single-Node PageRank in Õ(min{d<sub>t</sub>, √m}) Time.
CoRR, 2023

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials.
CoRR, 2023

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis.
CoRR, 2023

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
CoRR, 2023

Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
CoRR, 2023

Optimal Dynamic Subset Sampling: Theory and Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Clenshaw Graph Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MGNN: Graph Neural Networks Inspired by Distance Geometry Problem.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Networks with Learnable and Optimal Polynomial Bases.
Proceedings of the International Conference on Machine Learning, 2023

Uni-Mol: A Universal 3D Molecular Representation Learning Framework.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Range Summary Queries.
Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

2022
Persistent Summaries.
ACM Trans. Database Syst., 2022

Influence Maximization Revisited: Efficient Sampling with Bound Tightened.
ACM Trans. Database Syst., 2022

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms.
IEEE Trans. Knowl. Data Eng., 2022

Approximating Probabilistic Group Steiner Trees in Graphs.
Proc. VLDB Endow., 2022

Edge-based Local Push for Personalized PageRank.
Proc. VLDB Endow., 2022

Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting.
CoRR, 2022

GSN: A Universal Graph Neural Network Inspired by Spring Network.
CoRR, 2022

Optimizing Random Access to Hierarchically-Compressed Data on GPU.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.
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.
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.
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.
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.
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.
Proceedings of the IEEE International Conference on Data Mining, 2022

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.
VLDB J., 2021

FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data.
Proc. VLDB Endow., 2021

Learning to be a Statistician: Learned Estimator for Number of Distinct Values.
Proc. VLDB Endow., 2021

Massively Parallel Algorithms for Personalized PageRank.
Proc. VLDB Endow., 2021

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Approximate Graph Propagation.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
A game-based framework for crowdsourced data labeling.
VLDB J., 2020

SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits.
Proc. VLDB Endow., 2020

Exact Single-Source SimRank Computation on Large Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened.
Proceedings of the 2020 International Conference on Management of Data, 2020

Scalable Graph Neural Networks via Bidirectional Propagation.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Simple and Deep Graph Convolutional Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst., 2019

Parallel Trajectory-to-Location Join.
IEEE Trans. Knowl. Data Eng., 2019

Distribution-Aware Crowdsourced Entity Collection.
IEEE Trans. Knowl. Data Eng., 2019

Efficient Estimation of Heat Kernel PageRank for Local Clustering.
Proceedings of the 2019 International Conference on Management of Data, 2019

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling.
Proceedings of the 2019 International Conference on Management of Data, 2019

Scalable Graph Embeddings via Sparse Transpose Proximities.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Parallel trajectory similarity joins in spatial networks.
VLDB J., 2018

Optimal algorithms for selecting top-k combinations of attributes: theory and applications.
VLDB J., 2018

Tight Space Bounds for Two-Dimensional Approximate Range Counting.
ACM Trans. Algorithms, 2018

Cost-Effective Data Annotation using Game-Based Crowdsourcing.
Proc. VLDB Endow., 2018

TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
Proceedings of the 2018 International Conference on Management of Data, 2018

2017
Trajectory Similarity Join in Spatial Networks.
Proc. VLDB Endow., 2017

ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
Proc. VLDB Endow., 2017

FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
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.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Independent Range Sampling, Revisited.
Proceedings of the 25th Annual European Symposium on Algorithms, 2017

2016
Collective Travel Planning in Spatial Networks.
IEEE Trans. Knowl. Data Eng., 2016

Dynamic Shortest Path Monitoring in Spatial Networks.
J. Comput. Sci. Technol., 2016

Matrix Sketching Over Sliding Windows.
Proceedings of the 2016 International Conference on Management of Data, 2016

Probabilistic Nearest Neighbor Query in Traffic-Aware Spatial Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Towards Maximum Independent Sets on Massive Graphs.
Proc. VLDB Endow., 2015

Persistent Data Sketching.
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.
ACM Trans. Database Syst., 2014

Cache-Oblivious Hashing.
Algorithmica, 2014

Equivalence between Priority Queues and Sorting in External Memory.
Proceedings of the Algorithms - ESA 2014, 2014

2013
Mergeable summaries.
ACM Trans. Database Syst., 2013

The Space Complexity of 2-Dimensional Approximate Range Counting.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

2011
Beyond simple aggregates: indexing for summary queries.
Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

2009
Dynamic external hashing: the limit of buffering.
Proceedings of the SPAA 2009: Proceedings of the 21st Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2009


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