09/2008 - 03/2012: Ph.D. candidate, Department of Computer Science and Engineering, Hong Kong University of Science and Technology.
09/2004 - 06/2008: B.Sc. in Mathematics, Peking University. GPA: rank 1st in the Department of Informatics, School of Mathematics.
Professional Experience
07/2019 - present: Professor, School of Information, Renmin University of China.
09/2014 - 06/2019: Associate Professor, School of Information, Renmin University of China.
09/2012 - 08/2014: Postdoc, MADALGO (Center for Massive Data Algorithmics), Department of Computer Science, Aarhus University. Supervisor: Prof. Lars Arge.
Algorithms for massive data; Graph Algorithms; Streaming Algorithms; Database theory.
2026
Leveraging LLM-based agents for social science research: insights from citation network simulations
Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei*, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen
Nature Humanities and Social Sciences Communications
PageRank Centrality in Directed Graphs with Bounded In-Degree
Mikkel Thorup, Hanzhi Wang, Zhewei Wei, Mingji Yang
SODA 2026 (CCF A)
2025
Future Link Prediction Without Memory or Aggregation
Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng*, Zhewei Wei*, Yuhang Ye
NeurIPS 2025 (CCF A)
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
Yanping Zheng, Zhewei Wei*, Frank de Hoog, Xu Chen, Hongteng Xu, Yuhang Ye, Jiadeng Huang
VLDB 2025 (CCF A)
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei*, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding
ACL Findings 2025
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer
Jie Peng, Zhewei Wei*, Yuhang Ye
KDD 2025 (CCF A)
Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived
Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei*
ICML 2025 (CCF A)
Dimension-Free Adaptive Subgradient Methods with Frequent Directions
Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang
ICML 2025 (CCF A)
Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition
Dongxie Wen, Xiao Zhang*, Zhewei Wei*, Chenping Hou, Shuai Li, Weinan Zhang
IJCAI 2025 (CCF A)
Long-term Spatio-Temporal Forecasting using Spectral Graph Neural Networks
Xiang Li, Yanping Zheng, Zhewei Wei, Ye Yuan
IJCNN 2025 (CCF C)
NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism
Zhenbo Fu, Xin Ai, Qiange Wang, Yanfeng Zhang, Shizhan Lu, Chaoyi Chen, Chunyu Cao, Hao Yuan, Zhewei Wei, Yu Gu, Yingyou Wen, Ge Yu
VLDB 2025 (CCF A)
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang and Yong Yu
SIGIR 2025 (CCF A)
Simple and Optimal Algorithms for Heavy Hitters and Frequency Moments in Distributed Models
Zengfeng Huang, Hongzheng Xiong, Xiaoyi Zhu, Zhewei Wei
STOC 2025 (CCF A)
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi, Zhewei Wei*
ICLR 2025 (Spotlight, 5.1%)
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
Lu Yi, Jie Peng, Yanping Zheng*, Fengran Mo, Zhewei Wei*, Yuhang Ye, Yue Zixuan, Zengfeng Huang
ICLR 2025
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
Anjie Qiao, Zhen WANG, Jiahua Rao, Yuedong Yang, Zhewei Wei
AAAI 2025 (CCF A, Oral)
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
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
FCS 2025 (CCF B)
A Survey of Estimating Number of Distinct Values
Jiajun Li, Runlin Lei, Zhewei Wei*
FCS 2025 (CCF B)
Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling
Haipeng Ding, Zhewei Wei*, Yuhang Ye
TKDE 2025 (CCF A)
Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method
Guanyu Cui, Hanzhi Wang, Zhewei Wei*
KDD 2025 (CCF A)
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification
Haipeng Ding, Zhewei Wei*, Yuhang Ye
KDD 2025 (CCF A)
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu*, Pengfei Li, Bolin Ding*, Defu Lian, Zhewei Wei, Jingren Zhou*
VLDB 2025 (CCF A)
2024
TransPocket: Structural and Geometric Transformer for Ligand Binding Site Detection
Yang Zhang, Zhewei Wei*, Wenbing Huang*, Chongxuan Li
DASFAA 2024 (CCF B)
Index-Free Triangle-Based Graph Local Clustering
Zhe Yuan, Zhewei Wei*, Fangrui Lv, Ji-Rong Wen
FCS 2024 (CCF B)
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei*
NeurIPS 2024 (CCF A)
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search
Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei*, Zhifeng Gao*
NeurIPS 2024 (CCF A)
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin*
EMNLP Findings 2024
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks
Jie Peng, Runlin Lei, Zhewei Wei*
CIKM 2024 (CCF B)
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning
Jinjia Feng, Zhen Wang, Zhewei Wei*, Yaliang Li, Bolin Ding, Hongteng Xu
CIKM 2024 (CCF B)
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
Jiahong Ma, Mingguo He, Zhewei Wei*
KDD 2024 (CCF A)
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
Yang Zhang, Zhewei Wei*, Ye Yuan, Chongxuan Li, Wenbing Huang*
ICML 2024 (Oral 1.49% acceptance rate, CCF A)
Optimal Matrix Sketching over Sliding Windows
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei*, Xiao Zhang, Zengfeng Huang, Feifei Li
VLDB 2024 (Best Paper Nomination, CCF A)
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HierAffinity: Predicting Protein-Ligand Binding Affinity With Hierarchical Modeling
Yang Zhang, Zhewei Wei*, Wenbing Huang*, Chongxuan Li
DASFAA 2024 (CCF B)
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture
Weirui Kuang, Zhen Wang*, Zhewei Wei, Yaliang Li, Bolin Ding
TKDE 2024 (CCF A)
A Survey of Dynamic Graph Neural Networks
Yanping Zheng, Lu Yi, Zhewei Wei*
FCS 2024 (CCF B)
A Survey on Large Language Model based Autonomous Agents
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
FCS 2024 (CCF B)
Efficient Algorithms for Personalized PageRank Computation: A Survey
Mingji Yang, Hanzhi Wang, Zhewei Wei*, Sibo Wang, Ji-Rong Wen
TKDE 2024 (CCF A)
Learning-based Property Estimation with Polynomials
Jiajun Li, Runlin Lei, Sibo Wang, Zhewei Wei*, Bolin Ding
SIGMOD 2024 (CCF A)
Revisiting Local Computation of PageRank: Simple and Optimal
Hanzhi Wang, Zhewei Wei*, Ji-Rong Wen, Mingji Yang
STOC 2024 (CCF A)
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs
Zhen WANG, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
TheWebConf 2024 (Oral, CCF A)
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He, Zhewei Wei*, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu
TheWebConf 2024 (Oral, CCF A)
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Jingyu Chen, Runlin Lei, Zhewei Wei*
ICLR 2024 (Spotlight 4.96% acceptance rate)
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees
Zhewei Wei*, Ji-Rong Wen, Mingji Yang
ICDT 2024 (CCF B)
2023
Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting
Dazhao Du, Bing Su*, Zhewei Wei
ICASSP 2023 (CCF B)
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms
Yihua Hu, Feng Zhang*, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma
IEEE Transactions on Parallel and Distributed Systems (CCF A)
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation?
Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke*
ICLR 2023 - MLDD Oral
Estimating Single-Node PageRank in O(min{d_t, sqrt{m}}) Time
Hanzhi Wang, Zhewei Wei*
VLDB2023 (CCF A)
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Guanyu Cui, Zhewei Wei*
KDD2023 (CCF A)
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Optimal Dynamic Subset Sampling: Theory and Applications
Lu Yi, Hanzhi Wang, Zhewei Wei*
KDD2023 (CCF A)
Clenshaw Graph Neural Networks
Yuhe Guo, Zhewei Wei*
KDD2023 (CCF A)
Graph Neural Networks with Learnable and Optimal Polynomial Bases
Yuhe Guo, Zhewei Wei*
ICML2023 (CCF A)
On Range Summary Queries
Peyman Afshani, Pingan Cheng, Aniket Basu Roy, Zhewei Wei
ICALP 2023 (CCF B)
Decoupled Graph Neural Networks for Large Dynamic Graphs
Yanping Zheng, Zhewei Wei*, Jiajun Liu
VLDB2023 (CCF A)
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao*, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke*
ICLR2023
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme
Guanhao Hou, Qintian Guo, Fangyuan ZHANG, Sibo Wang*, Zhewei Wei
SIGMOD2023 (CCF A)
2022
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms
Yu Liu, Lei Zou, Zhewei Wei
ICDE 2022 (CCF A)
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
ICDM 2022 (CCF B)
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei, Zhen WANG, Yaliang Li, Bolin Ding, Zhewei Wei*
NeurIPS2022 (CCF A)
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei*, Ji-Rong Wen
NeurIPS2022 (Oral 1.76% acceptance rate, CCF A)
Approximating Probabilistic Group Steiner Trees in Graphs
Shuang Yang, Yahui Sun*, Jiesong Liu, Xiaokui Xiao, Ronghua Li, Zhewei Wei
VLDB2022 (CCF A)
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio
Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei*, Hongteng Xu
CIKM2022 (CCF B)
Optimizing Random Access to Hierarchically-Compressed Data on GPU
Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang*, Xiaoyong Du
SC2022 (CCF A)
Sampling-based Estimation of the Number of Distinct Values in Distributed Environment
Jiajun Li, Zhewei Wei*, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou
SIGKDD2022 (CCF A)
Graph Neural Networks with Node-wise Architecture
Zhen Wang, Zhewei Wei, Yaliang Li*, Weirui Kuang, Bolin Ding
SIGKDD2022 (CCF A)
Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng, Hanzhi Wang, Zhewei Wei*, Jiajun Liu, Sibo Wang
SIGKDD2022 (CCF A)
Influence Maximization Revisited: Efficient Sampling with Bound Tightened
Qintian Guo, Sibo Wang*, Zhewei Wei*, Wenqing Lin, Jing Tang.
ACM Transactions on Database Systems (TODS) (CCF A)
Persistent Summaries
Tianjing Zeng, Zhewei Wei*, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
ACM Transactions on Database Systems (TODS) (CCF A)
Edge-based Local Push for Personalized PageRank
Hanzhi Wang, Zhewei Wei*, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
VLDB2022 (CCF A)
Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms
Yu Liu, Lei Zou*, Zhewei Wei
TKDE 2022 (CCF A)
2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei*, Zengfeng Huang, Hongteng Xu*
NeurIPS2021 (CCF A)
Learning to be a Statistician: Learned Estimator for Number of Distinct Values
Renzhi Wu, Bolin Ding, Xu Chu, Zhewei Wei, Xiening Dai, Tao Guan, Jingren Zhou
VLDB2021 (CCF A)
Approximate Graph Propagation
Hanzhi Wang, Mingguo He, Zhewei Wei*, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
KDD2021 (CCF A)
Graph Neural Networks Inspired by Classical Iterative Algorithms
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang*, David Wipf*
ICML2021 (Long Talk 3% acceptance rate, CCF A)
Massively Parallel Algorithms for Personalized PageRank
Guanhao Hou, Xingguang Chen, Sibo Wang*, Zhewei Wei*
Proc. VLDB Endow. 14, 2021 (CCF A)
ExactSim: Benchmarking Single-Source SimRank Algorithmswith High-Precision Ground Truths
Hanzhi Wang, Zhewei Wei*, Yu Liu, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
VLDB Journal, 2021 (CCF A)
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push
Hao Wu, Junhao Gan, Zhewei Wei*, Rui Zhang
SIGMOD2021 (CCF A)
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data
Shuyuan Yan, Bolin Ding*, Wei Guo, Jingren Zhou, Zhewei Wei, Xiaowei Jiang, Sheng Xu
Proc. VLDB Endow. 14(5): 721-729 (2021) (CCF A)
2020
A Game-based Framework for Crowdsourced Data Labeling
Jingru Yang, Ju Fan*, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du
VLDB J. 29(6): 1311-1336 (2020) (CCF A)
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen, Zhewei Wei*, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
NeurIPS 2020 (CCF A)
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SimTab: Accuracy-Guaranteed SimRank Queries through Tighter Confidence Bounds and Multi-Armed Bandits
Yu Liu, Lei Zou, Qian Ge, Zhewei Wei*
Proc. VLDB Endow. 13(11): 2202-2214 (2020) (CCF A)
Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei*, Zengfeng Huang, Bolin Ding, Yaliang Li
ICML 2020: 1725-1735 (2022 World Artificial Intelligence Conference Youth Outstanding Paper Award Honorable Mention, CCF A)
Personalized PageRank to a Target Node, Revisited
Hanzhi Wang, Zhewei Wei*, Junhao Gan, Sibo Wang, Zengfeng Huang
KDD 2020: 657-667 (CCF A)
Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened
Qintian Guo, Sibo Wang, Zhewei Wei*, Ming Chen
SIGMOD Conference 2020 (CCF A): 2167-2181
Exact Single-Source SimRank Computation on Large Graphs
Hanzhi Wang, Zhewei Wei*, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
SIGMOD Conference 2020 (CCF A): 653-66
2019
CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling
Tongyu Liu, Jingru Yang, Ju Fan*, Zhewei Wei, Guoliang Li, Xiaoyong Du
SIGMOD Conference 2019: 1957-1960 (CCF A)
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei*, Wenqin Lin, Yin Yang and Nan Tang
ACM TODS, 44(4): 18:1-18:37 (2019) (CCF A)
Scalable Graph Embeddings via Sparse Transpose Proximities
Yuan Yin and Zhewei Wei*
SIGKDD 2019: 1429-1437, ORAL. (CCF A)
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Efficient Estimation of Heat Kernel PageRank for Local Clustering
Renchi Yang, Xiaokui Xiao, Zhewei Wei*, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
SIGMOD Conference 2019: 1339-1356 (CCF A)
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
Zhewei Wei, Xiaodong He, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen*
SIGMOD Conference 2019: 1042-1059 (CCF A)
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Parallel Trajectory-to-Location Join
Shuo Shang, Lisi Chen, Kai Zheng*, Christian S. Jensen, Zhewei Wei, Panos Kalnis
IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019) (CCF A)
Distribution-Aware Crowdsourced Entity Collection
Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang and Xiaoyong Du
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. (CCF A)
2018
Tight Space Bounds for Two-Dimensional Approximate Range Counting
Zhewei Wei; Ke Yi
ACM TALG, 2018, 14(2): 1-17. (CCF B)
Optimal Algorithms for Selecting Top-k Combinations of Attributes: Theory and Applications
Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao
VLDB J. 27(1): 27-52 (2018) (CCF A)
Parallel Trajectory Similarity Joins in Spatial Networks
Shuo Shang, Lisi Chen*, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
VLDB J. 27(3): 395-420 (2018) (CCF A)
Cost-Effective Data Annotation using Game-Based Crowdsourcing
Jingru Yang, Ju Fan*, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du
PVLDB 12(1): 57-70 (2018) (CCF A)
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang*, Ji-Rong Wen*
SIGMOD Conference 2018: 441-45 (CCF A)
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2017
Independent Range Sampling, Revisited
Peyman Afshani; Zhewei Wei*
ESA, 2017. (CCF B)
Trajectory Similarity Join in Spatial Networks
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis
PVLDB 10(11): 1178-1189 (2) (CCF A)
ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs
Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei*, Xiaokui Xiao, Kai Zheng, Jiaheng Lu
PVLDB 11(1): 14-26 (2017) (CCF A)
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Collective Travel Planning in Spatial Networks
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
ICDE 2017: 59-60 (CCF A)
Tracking Matrix Approximation over Distributed Sliding Windows
Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin
ICDE 2017: 833-844 (CCF A)
FORA: Simple and Effective Approximate Single-Source Personalized PageRank
Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei*, Yin Yang
KDD 2017: 505-514 (CCF A)
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2016
Dynamic Shortest Path Monitoring in Spatial Networks
Shuo Shang; Lisi Chen; Zhewei Wei; Danhuai Guo*; Ji-Rong Wen
JCST, 2016, 31(4): 637-648. (CCF B)
Collective Travel Planning in Spatial Networks
Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis
IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016) (CCF A)
Matrix Sketching Over Sliding Windows
Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen*
SIGMOD Conference 2016: 1465-1480 (CCF A)
2015
Towards Maximum Independent Sets on Massive Graphs
Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei*
PVLDB 8(13): 2122-2133 (2015) (CCF A)
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Persistent Data Sketching
Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
SIGMOD Conference 2015: 795-810 (CCF A)
2014
Cache-Oblivious Hashing
Rasmus Pagh; Zhewei Wei; Ke Yi; Qin Zhang
Algorithmica, 2014, 69(4): 864-883. (CCF B)
Equivalence Between Priority Queues And Sorting In External Memory
Zhewei Wei; Ke Yi
ESA, 2014. (CCF B)
Indexing for Summary Queries: Theory and Practice
Ke Yi, Lu Wang, Zhewei Wei*
ACM Trans. Database Syst. 39(1): 2:1-2:39 (2014) (CCF A)
2013
Mergeable Summaries
Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei*, Ke Yi
ACM Trans. Database Syst. 38(4): 26:1-26:28 (2013) (CCF A)
The Space Complexity of 2-Dimensional Approximate Range Counting
Zhewei Wei, Ke Yi
SODA 2013: 252-264 (CCF A)
2012
Mergeable Summaries
Pankaj K. Agarwal; Graham Cormode; Zengfeng Huang; Jeff M. Phillips; Zhewei Wei; Ke Yi*
PODS 2012 (PODS2022 Alberto O. Mendelzon Test-of-Time Award, CCF B)
2011
Beyond Simple Aggregates: Indexing For Summary Queries
Zhewei Wei, Ke Yi
PODS, 2011. (CCF B)
2010
Cache-Oblivious Hashing
Rasmus Pagh, Zhewei Wei, Ke Yi, Qin Zhang
PODS, 2010. (CCF B)
2009
Dynamic External Hashing: The Limit of Buffering
Zhewei Wei, Ke Yi, Qin Zhang
SPAA, 2009. (CCF B)
Proceeding Chair for PODS2020.
PC for SIGMETRICS2020, NDBC2017, ICBK2020.
External Reviewer for SODA, ISAAC, VLDB, ICDE, CIKM, SIGMOD , PODS.
Reviewer for TKDE, TALG, TOIS, TODS, VLDBJ, TKDD, TBD.
Member of ACM Special Interest Group on Management of Data (SIGMOD) and Committee Member of China Computer Federation (CCF) Database Group.
Email：zhewei @ruc.edu.cn
Website：http://weizhewei.com/