Zhewei Wei

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 121

Top Venues

Publications

Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
Optimal Matrix Sketching over Sliding Windows. CoRR (2024)
Yanping Zheng, Lu Yi, Zhewei Wei
A survey of dynamic graph neural networks. CoRR (2024)
Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei, Bolin Ding
Learning-based Property Estimation with Polynomials. Proc. ACM Manag. Data 2 (3) (2024)
Jiahong Ma, Mingguo He, Zhewei Wei
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. KDD (2024)
Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR (2024)
Zhewei Wei, Ji-Rong Wen, Mingji Yang
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. CoRR (2024)
Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen
Efficient Algorithms for Personalized PageRank Computation: A Survey. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18 (6) (2024)
Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW (2024)
Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen
YuLan: An Open-source Large Language Model. CoRR (2024)
Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang
Revisiting Local Computation of PageRank: Simple and Optimal. STOC (2024)
Jingyu Chen, Runlin Lei, Zhewei Wei
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters. ICLR (2024)
Zhe Yuan, Zhewei Wei, Fangrui Lv, Ji-Rong Wen
Index-free triangle-based graph local clustering. Frontiers Comput. Sci. 18 (3) (2024)
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level. CoRR (2024)
Zhewei Wei, Ji-Rong Wen, Mingji Yang
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. ICDT (2024)
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. WWW (2024)
Hanzhi Wang, Zhewei Wei, Ji-Rong Wen, Mingji Yang
Revisiting Local Computation of PageRank: Simple and Optimal. CoRR (2024)
Mingji Yang, Hanzhi Wang, Zhewei Wei, Sibo Wang, Ji-Rong Wen
Efficient Algorithms for Personalized PageRank Computation: A Survey. CoRR (2024)
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei, Xiao Zhang, Zengfeng Huang, Feifei Li
Optimal Matrix Sketching over Sliding Windows. Proc. VLDB Endow. 17 (9) (2024)
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. WACV (2024)
Jiahong Ma, Mingguo He, Zhewei Wei
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer. CoRR (2024)
Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR (2024)
Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR (2024)
Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR (2024)
Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. Proc. ACM Manag. Data 1 (1) (2023)
Yang Zhang, Wenbing Huang, Zhewei Wei, Ye Yuan, Zhaohan Ding
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction. CoRR (2023)
Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. IEEE Trans. Parallel Distributed Syst. 34 (10) (2023)
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
A Survey on Large Language Model based Autonomous Agents. CoRR (2023)
Lu Yi, Hanzhi Wang, Zhewei Wei
Optimal Dynamic Subset Sampling: Theory and Applications. KDD (2023)
Yuhe Guo, Zhewei Wei
Graph Neural Networks with Learnable and Optimal Polynomial Bases. CoRR (2023)
Yanping Zheng, Zhewei Wei, Jiajun Liu
Decoupled Graph Neural Networks for Large Dynamic Graphs. Proc. VLDB Endow. 16 (9) (2023)
Yuhe Guo, Zhewei Wei
Graph Neural Networks with Learnable and Optimal Polynomial Bases. ICML (2023)
Lu Yi, Hanzhi Wang, Zhewei Wei
Optimal Dynamic Subset Sampling: Theory and Applications. CoRR (2023)
Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR (2023)
Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? CoRR (2023)
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR (2023)
Guanyu Cui, Zhewei Wei
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem. KDD (2023)
Hanzhi Wang, Zhewei Wei
, √m}) Time. CoRR (2023)
Yuhe Guo, Zhewei Wei
Clenshaw Graph Neural Networks. KDD (2023)
Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. CoRR (2023)
Dazhao Du, Bing Su, Zhewei Wei
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting. ICASSP (2023)
Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei
On Range Summary Queries. CoRR (2023)
Yanping Zheng, Zhewei Wei, Jiajun Liu
Decoupled Graph Neural Networks for Large Dynamic Graphs. CoRR (2023)
Xuwei Xu, Sen Wang, Yudong Chen, Yanping Zheng, Zhewei Wei, Jiajun Liu
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation. CoRR (2023)
Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei
On Range Summary Queries. ICALP (2023)
Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
Graph Neural Networks with Node-wise Architecture. KDD (2022)
Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. CoRR (2022)
Yu Liu, Lei Zou, Zhewei Wei
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS (2022)
Guanyu Cui, Zhewei Wei
GSN: A Universal Graph Neural Network Inspired by Spring Network. CoRR (2022)
Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du
Optimizing Random Access to Hierarchically-Compressed Data on GPU. SC (2022)
Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. CoRR (2022)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Edge-based Local Push for Personalized PageRank. CoRR (2022)
Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
Instant Graph Neural Networks for Dynamic Graphs. CoRR (2022)
Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
Instant Graph Neural Networks for Dynamic Graphs. KDD (2022)
Yu Liu, Lei Zou, Zhewei Wei
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms (Extended Abstract). ICDE (2022)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15 (7) (2022)
Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang
Influence Maximization Revisited: Efficient Sampling with Bound Tightened. ACM Trans. Database Syst. 47 (3) (2022)
Tianjing Zeng, Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
Persistent Summaries. ACM Trans. Database Syst. 47 (3) (2022)
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. ICDM (2022)
Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM (2022)
Yuhe Guo, Zhewei Wei
Clenshaw Graph Neural Networks. CoRR (2022)
Jiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment. KDD (2022)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. CoRR (2022)
Mingguo He, Zhewei Wei, Ji-Rong Wen
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. NeurIPS (2022)
Mingguo He, Zhewei Wei, Ji-Rong Wen
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. CoRR (2022)
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei
Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. 16 (2) (2022)
Dazhao Du, Bing Su, Zhewei Wei
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting. CoRR (2022)
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. CoRR (2022)
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR (2022)
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. CoRR (2021)
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
Learning to be a Statistician: Learned Estimator for Number of Distinct Values. Proc. VLDB Endow. 15 (2) (2021)
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. SIGMOD Conference (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. CoRR (2021)
Hanzhi Wang, Zhewei Wei, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths. VLDB J. 30 (6) (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. ICML (2021)
Mingguo He, Zhewei Wei, Zengfeng Huang, Hongteng Xu
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation. NeurIPS (2021)
Shuyuan Yan, Bolin Ding, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data. Proc. VLDB Endow. 14 (5) (2021)
Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei
Massively Parallel Algorithms for Personalized PageRank. Proc. VLDB Endow. 14 (9) (2021)
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf
Graph Neural Networks Inspired by Classical Iterative Algorithms. CoRR (2021)
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Approximate Graph Propagation. KDD (2021)
Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. CoRR (2021)
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Approximate Graph Propagation. CoRR (2021)
Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du
A game-based framework for crowdsourced data labeling. VLDB J. 29 (6) (2020)
Yu Liu, Lei Zou, Qian Ge, Zhewei Wei
SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits. Proc. VLDB Endow. 13 (11) (2020)
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS (2020)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
Personalized PageRank to a Target Node, Revisited. KDD (2020)
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
Simple and Deep Graph Convolutional Networks. CoRR (2020)
Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. SIGMOD Conference (2020)
Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
Simple and Deep Graph Convolutional Networks. ICML (2020)
Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Exact Single-Source SimRank Computation on Large Graphs. SIGMOD Conference (2020)
Hanzhi Wang, Zhewei Wei, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Exact Single-Source SimRank Computation on Large Graphs. CoRR (2020)
Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR (2020)
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang
Personalized PageRank to a Target Node, Revisited. CoRR (2020)
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference (2019)
Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. CoRR (2019)
Yuan Yin, Zhewei Wei
Scalable Graph Embeddings via Sparse Transpose Proximities. CoRR (2019)
Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR (2019)
Tongyu Liu, Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Xiaoyong Du
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling. SIGMOD Conference (2019)
Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhewei Wei