视频简介

教育经历

  • 2008年9月至2012年3月:香港科技大学计算机科学及工程系,博士,导师:Ke Yi
  • 2004年9月至2008年6月:北京大学数学科学学院,学士

工作经历

  • 2020年4月至今:中国人民大学高瓴人工智能学院,教授(长聘副教授)
  • 2019年8月至2020年4月:人民大学信息学院,教授
  • 2014年9月至2019年7月:人民大学信息学院,副教授
  • 2012年9月至2014年8月:丹麦奥胡斯大学海量数据算法研究中心(MADALGO),博士后,合作导师:Lars Arge
  • 2012年3月至2012年8月:香港科技大学,博士后研究员,合作导师:Ke Yi

研究方向

● 大数据与人工智能算法;图计算与图学习;数据流算法与学习

● 重点关注大数据与人工智能算法与传统算法的三个区别:
1. 从追求多项式时间算法转变为追求近线性/亚线性概率近似算法
2. 从传统RAM模型到数据流、外存等新型计算模型
3. 从最坏情况分析到典型数据分析

● 在研课题:
1. 大规模图计算与图学习
2. 流数据计算与学习
3. AI4DB:人工智能赋能的数据库优化算法
4. AI4Science:图学习在物理、制药等科学领域的应用&物理驱动的图机器学习算法

学生要求

● 对算法感兴趣,希望做一些探索性的研究;有一定的数学和编程基础

● 指导博士生:
1. 刘钰:中国人民大学信息学院(2014-2018),现任北京交通大学讲师,曾获北京大学优秀博士后。主页:http://faculty.bjtu.edu.cn/9759/
2. 王涵之,中国人民大学信息学院(2019至今),获2021年百度奖学金(全球10人)、2022微软学者(亚太12人)、国家奖学金。主页:https://wanghzccls.github.io
3. 何明国,中国人民大学高瓴人工智能学院(2020至今),主页:https://ivam-he.github.io
4. 郑艳萍,中国人民大学高瓴人工智能学院(2020至今)
5. 李家郡,中国人民大学高瓴人工智能学院(2021至今)
6. 张阳,中国人民大学高瓴人工智能学院(2021至今)
7. 郭雨荷,中国人民大学高瓴人工智能学院(2021至今)
8. 冯晋嘉,中国人民大学高瓴人工智能学院(2021至今)
9. 丁海鹏,中国人民大学高瓴人工智能学院(2022至今)
10. 杨铭基,中国人民大学高瓴人工智能学院(2022至今),主页:https://kyleyoung-ymj.github.io
11. 易璐,中国人民大学高瓴人工智能学院(2022至今),主页:https://luyi256.github.io
12. 雷润林,中国人民大学高瓴人工智能学院(2022至今),主页:https://leirunlin.github.io
13. 文东勰,中国人民大学高瓴人工智能学院(2023至今)
14. 彭杰,中国人民大学高瓴人工智能学院(2023至今)
15. 周耕墨,中国人民大学高瓴人工智能学院(2023至今)

● 指导硕士生:
1. 童绥俊,中国人民大学信息学院(2014-2017),入职IBM
2. 何晓东,中国人民大学信息学院(2015-2018),入职第四范式
3. 殷源,中国人民大学信息学院(2016-2019),入职字节跳动
4. 于辰淼,中国人民大学信息学院(2016-2019),中央部委公务员
5. 陈明,中国人民大学信息学院(2018-2021),央企选调,曾获中国人民大学优秀硕士论文
6. 邝炜瑞,中国人民大学信息学院(2018-2021),入职阿里达摩院,获KDD2022最佳论文奖
7. 曾恬静,中国人民大学高瓴人工智能学院(2020-2023),入职阿里达摩院
8. 吕芳锐,中国人民大学高瓴人工智能学院(2020-2023),入职国家开发银行
9. 周耕墨,中国人民大学高瓴人工智能学院(2020-2023),继续读博
10. 张若琦,中国人民大学高瓴人工智能学院(2021至今)
11. 刘旭,中国人民大学高瓴人工智能学院(2021至今)
12. 马嘉鸿,中国人民大学高瓴人工智能学院(2022至今)
13. 陈靖宇,中国人民大学高瓴人工智能学院(2022至今)
14. 崔冠宇,中国人民大学高瓴人工智能学院(2022至今),个人主页:https://guanyucui.github.io
15. 季嘉蕊,中国人民大学高瓴人工智能学院(2023至今)
16. 尹涵燕,中国人民大学高瓴人工智能学院(2023至今)

教授课程

  • 2023-2024: 算法分析与设计(本科生专业必修课)、 图机器学习(研究生选修课)、新生研讨课
  • 2022-2023: 算法分析与设计(本科生专业必修课)、 图机器学习(研究生选修课)、新生研讨课
  • 2021-2022: 算法分析与设计(本科生专业必修课)、图机器学习(研究生选修课)、新生研讨课
  • 2020-2021: 数据结构与算法I(本科生荣誉课程)、数据结构与算法II(本科生荣誉课程)
  • 2019-2020: 数据结构与算法I(本科生荣誉课程)、数据结构与算法II(本科生荣誉课程)
  • 2017-2019:ACM-ICPC算法与程序设计(本科生专业选修课)
  • 2016-2019:算法分析与设计(本科生专业必修课)
  • 2015-2018:海量数据算法(研究生学科基础课)
  • 2016:运筹学基础(本科生专业必修课)
  • 2015:高等数学(本科生学科基础课)

科研项目

  • 科技创新2030——“新一代人工智能”重大项目课题,资源受限的快速流式计算(2022ZD0114802,2022.12-2025.11,170万),主持
  • 国家自然科学基金-重点项目,面向图学习的分布式原生图存储与计算方法研究(编号U2241212,2023.01-2026.12,255万),主持
  • 北京市自然科学基金-面上项目,面向现代城市交通网络的异质图表示学习模型研究(编号4222028,2022.01-2024.12,20万),主持
  • 国家自然科学基金-重点项目,大规模图的复杂性分析与高效计算(编号61932001,2020.01-2024.12,299万),子课题负责人
  • 国家自然科学基金-面上项目,大图节点相似度计算及其应用(编号61972401,2020.01-2023.12,60万),主持
  • 国家自然科学基金-重点项目,跨模态大数据实时交互式分析(编号61832017,2019.01-2023.12,300万),参与
  • 国家自然科学基金-青年项目,支持摘要搜索的数据库多维动态索引技术研究(编号61502503,2016.01-2018.12,21万),主持

  • 阿里巴巴air项目,智能数据库查询优化关键技术研究与应用(2023.01-2023.12,50万),主持
  • 华为下一代智能信息分发技术研究项目,大规模异配图计算及应用(2023.01-2023.12,58万),主持
  • 华为下一代智能信息分发技术研究项目,百亿级图机器学习模型(2022.01-2022.12,30万),主持
  • 阿里巴巴air项目,基于机器学习算法优化数据存储效率(2022.01-2022.12,50万),主持
  • CCF-百度松果基金,大规模图神经网络(2021.08-2022.08,15万),主持
  • 阿里巴巴air项目,支持实时数据分析的采样算子和AQP算法(2021.01-2021.12,50万),主持
  • 阿里巴巴air项目,数据库中高效的采样算子和应用(2020.01-2021.12,50万),主持

学术论文

2024
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, Wenbing Huang*, Zhewei Wei*, Ye Yuan, Chongxuan Li
ICML 2024 (CCF A)

Optimal Matrix Sketching over Sliding Windows
Hanyan Yin, Dongxie Wen, Jiajun Li, Zhewei Wei*, Xiao Zhang, Zengfeng Huang, Feifei Li
VLDB 2024 (CCF A)

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)
链接: 链接

Approximating Single-Source Personalized PageRank with Absolute Error Guarantees
Zhewei Wei, Ji-Rong Wen, Mingji Yang
ICDT 2024 (CCF B)

2023
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
下载:
链接: 链接

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)

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)

A Universal 3D Molecular Representation Learning Framework
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
ICLR2023
下载: 论文文档

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
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei, Zhen WANG, Yaliang Li, Bolin Ding, Zhewei Wei*
NeurIPS2022 (CCF A)
下载: 源代码
链接: 链接

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
Mingguo He, Zhewei Wei*, Ji-Rong Wen
NeurIPS2022 (Oral, CCF A)
下载: 源代码
链接: 链接

Approximating Probabilistic Group Steiner Trees in Graphs
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Ronghua Li, Zhewei Wei
VLDB2022 (CCF A)
链接: 链接

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio
Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei* and Hongteng Xu
CIKM2022 (CCF B)
链接: 链接

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)
链接: 链接

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)
下载: 源代码
链接: 链接

Graph Neural Networks with Node-wise Architecture
Zhen Wang, Yaliang Li, Zhewei Wei, Weirui Kuang, Bolin Ding
SIGKDD2022 (CCF A)
链接: 链接

Instant Graph Neural Networks for Dynamic Graphs
Yanping Zheng, Hanzhi Wang, Zhewei Wei*, Jiajun Liu, Sibo Wang
SIGKDD2022 (CCF A)
下载: 源代码
链接: 链接

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)
链接: 链接

Persistent Summaries
Tianjing Zeng, Zhewei Wei*, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen
ACM Transactions on Database Systems (TODS) (CCF A)
链接: 链接

Edge-based Local Push for Personalized PageRank
Hanzhi Wang, Zhewei Wei*, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
VLDB2022 (CCF A)
下载: 源代码
链接: 链接

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
VLDB2022 (CCF A)
下载: 源代码
链接: 链接

2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He, Zhewei Wei*, Zengfeng Huang, Hongteng Xu*
NeurIPS2021 (CCF A)
下载: 源代码
链接: 链接

Approximate Graph Propagation
Hanzhi Wang, Mingguo He, Zhewei Wei*, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen
KDD2021 (CCF A)
下载: 源代码 海报
链接: 链接

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 (CCF A)
下载: 论文文档

Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms
Yu Liu, Lei Zou, Zhewei Wei
TKDE 2021 (CCF A)
下载: 论文文档

Massively Parallel Algorithms for Personalized PageRank
Guanhao Hou, Xingguang Chen, Sibo Wang*, Zhewei Wei*
Proc. VLDB Endow. 14, 2021 (CCF A)
链接: 链接

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)
下载: 附件

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push
Hao Wu, Junhao Gan, Zhewei Wei*, Rui Zhang
SIGMOD2021 (CCF A)
下载: 附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 源代码
链接: 链接

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)
下载: 论文附件

Simple and Deep Graph Convolutional Networks
Ming Chen, Zhewei Wei*, Zengfeng Huang, Bolin Ding, Yaliang Li
ICML 2020: 1725-1735 (CCF A)
下载: 源代码

Personalized PageRank to a Target Node, Revisited
Hanzhi Wang, Zhewei Wei*, Junhao Gan, Sibo Wang, Zengfeng Huang
KDD 2020: 657-667 (CCF A)
下载: 论文附件

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
下载: 论文文档

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
下载: 源代码

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)
下载: 论文附件

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)
下载: 论文附件

Scalable Graph Embeddings via Sparse Transpose Proximities
Yuan Yin and Zhewei Wei*
SIGKDD 2019: 1429-1437, ORAL. (CCF A)

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 附件

2018
Tight Space Bounds for Two-Dimensional Approximate Range Counting
Zhewei Wei; Ke Yi
ACM TALG, 2018, 14(2): 1-17. (CCF B)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文文档

2017
Independent Range Sampling, Revisited
Peyman Afshani; Zhewei Wei*
ESA, 2017. (CCF B)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
下载: 论文附件

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)
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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)
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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)
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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)
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2014
Cache-oblivious Hashing
Rasmus Pagh; Zhewei Wei; Ke Yi; Qin Zhang
Algorithmica, 2014, 69(4): 864-883. (CCF B)
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Equivalence Between Priority Queues And Sorting In External Memory
Zhewei Wei; Ke Yi
ESA, 2014. (CCF B)
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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)
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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)
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The Space Complexity of 2-Dimensional Approximate Range Counting
Zhewei Wei, Ke Yi
SODA 2013: 252-264 (CCF A)
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2012
Mergeable Summaries
Pankaj K. Agarwal; Graham Cormode; Zengfeng Huang; Jeff M. Phillips; Zhewei Wei; Ke Yi*
PODS, 2012. (CCF B)
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2011
Beyond Simple Aggregates: Indexing For Summary Queries
Zhewei Wei; Ke Yi
PODS, 2011. (CCF B)
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2010
Cache-oblivious Hashing
Rasmus Pagh; Zhewei Wei; Ke Yi; Qin Zhang
PODS, 2010. (CCF B)
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2009
Dynamic External Hashing: The Limit of Buffering
Zhewei Wei; Ke Yi; Qin Zhang
SPAA, 2009. (CCF B)
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荣誉奖励

  • PODS2022 时间检验奖(Test of Time Award)
  • 2023年世界人工智能大会青年优秀论文提名奖
  • 琶洲实验室(黄埔)青年科学家
  • 2019年中国人民大学教学标兵提名奖
  • 中国人民大学“杰出学者”青年学者

社会兼职

  • Area Chair: ICML22/23/24, NeurIPS22/23, ICLR23/24, TheWebConf23
  • Proceedings Chair:SIGMOD/PODS20, ICDT21
  • PC Member:NeurIPS21, ICML21, KDD21, VLDB20, ICDE21, SIGMETRICS20, ICBK19,NDBC18, ICDE23
  • 期刊编委:FCS青年编委
  • 学术成员:中国计算机学会数据库专委会专委,中国计算机学会学术工作委员会委员

contact

电话:--

邮箱:zhewei (@)ruc.edu.cn

个人网页:http://weizhewei.com/

办公地址:立德楼 1715