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魏哲巍

魏哲巍博士,教授,博导。2008年本科毕业于北京大学数学科学学院,2012年博士毕业于香港科技大学计算机系;2012年至2014年于奥胡斯大学海量数据算法研究中心担任博士后研究员,2014年9月加入beat365亚洲官网担任副教授,2019年8月起任教授。2020年4月加入高瓴人工智能学院。

更多信息,请参见个人主页:www.weizhewei.com与gsai.ruc.edu.cn/zhewei

个人主页:www.weizhewei.com

电子邮箱:zhewei at ruc.edu.cn

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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:beat365官网高瓴人工智能学院,教授(长聘副教授)

2019年8月2020年4月:人民大学bat365官方网站,教授

2014年9月至2019年7月:人民大学bat365官方网站,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),博士后研究员,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

● 本人自2020年在高瓴人工智能学院(ai.ruc.edu.cn)招收博士和硕士研究生,主页请见:gsai.ruc.edu.cn/zhewei

● 大数据算法;图机器学习与图神经网络;数据流算法

● 重点关注大数据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. 图神经网络(Graph Neural Network)理论基础

2. 大规模图机器学习

3. 人工智能赋能的数据库优化算法

4. 机器学习赋能的数据流算法

讲授课程

2020-2021: 数据结构与算法II(本科生荣誉课程)

2020-2021: 数据结构与算法I(本科生荣誉课程)

2019-2020: 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)

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

(1)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61932001,2020.01-2024.12,300万),子课题负责人

(2)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

(3)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

(4)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

(5)阿里巴巴air项目,支持实时数据分析的采样算子和AQP算法(2021.01-2022.12,50万),主持

(6)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

(7)beat365官网决策咨询及预研委托项目预研及委托项目,社交网络中的邻近度近似查询方法研究(编号18XNLG21,2018.03-2020.12。30万),主持

(8)beat365官网年度项目新教师启动金项目,关系数据库中的略图搜索方法研究(编号15XNLF02,2015.04-2017.12,24万),主持

科研成果

中国计算机学会(CCF)A类会议/期刊论文(标记*号为通讯作者论文)

[1] Zhewei Wei, Ke Yi: The Space Complexity of 2-Dimensional Approximate Range Counting. SODA 2013: 252-264

[2] Pankaj K. Agarwal, Graham Cormode, Zengfeng Huang, Jeff M. Phillips, Zhewei Wei*, Ke Yi: Mergeable summaries. ACM Trans. Database Syst. 38(4): 26:1-26:28 (2013)

[3] Ke Yi, Lu Wang, Zhewei Wei*: Indexing for summary queries: Theory and practice. ACM Trans. Database Syst. 39(1): 2:1-2:39 (2014)

[4] Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen: Persistent Data Sketching. SIGMOD Conference 2015: 795-810

[5] Yu Liu, Jiaheng Lu, Hua Yang, Xiaokui Xiao, Zhewei Wei*: Towards Maximum Independent Sets on Massive Graphs. PVLDB 8(13): 2122-2133 (2015)

[6] Zhewei Wei, Xuancheng Liu, Feifei Li, Shuo Shang, Xiaoyong Du, Ji-Rong Wen: Matrix Sketching Over Sliding Windows. SIGMOD Conference 2016: 1465-1480

[7] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis: Collective Travel Planning in Spatial Networks. IEEE Trans. Knowl. Data Eng. 28(5): 1132-1146 (2016)

[8] Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang and Xiaoyong Du. Distribution-Aware Crowdsourced Entity Collection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.

[9] Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei*, Yin Yang: FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD 2017: 505-514

[10] Haida Zhang, Zengfeng Huang, Zhewei Wei, Wenjie Zhang, Xuemin Lin: Tracking Matrix Approximation over Distributed Sliding Windows. ICDE 2017: 833-844

[11] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis: Collective Travel Planning in Spatial Networks. ICDE 2017: 59-60

[12] Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei*, Xiaokui Xiao, Kai Zheng, Jiaheng Lu: ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. PVLDB 11(1): 14-26 (2017)

[13] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis: Trajectory Similarity Join in Spatial Networks. PVLDB 10(11): 1178-1189 (2017)

[14] Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Shuo Shang, Ji-Rong Wen: TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs. SIGMOD Conference 2018: 441-45

[15] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis: Parallel trajectory similarity joins in spatial networks. VLDB J. 27(3): 395-420 (2018)

[16] Chunbin Lin, Jiaheng Lu, Zhewei Wei, Jianguo Wang, Xiaokui Xiao: Optimal algorithms for selecting top-k combinations of attributes: theory and applications. VLDB J. 27(1): 27-52 (2018)

[17] Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du: Cost-Effective Data Annotation using Game-Based Crowdsourcing. PVLDB 12(1): 57-70 (2018)

[18] Shuo Shang, Lisi Chen, Kai Zheng, Christian S. Jensen, Zhewei Wei, Panos Kalnis: Parallel Trajectory-to-Location Join. IEEE Trans. Knowl. Data Eng. 31(6): 1194-1207 (2019)

[19] Zhewei Wei, Xiaodong He, Sibo Wang, Yu Liu, Xiaoyong Du, Ji-Rong Wen. PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. SIGMOD Conference 2019: 1042-1059

[20] 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: 1339-1356

[21] 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: 1957-1960

[22] Yuan Yin and Zhewei Wei*: Scalable Graph Embeddings via Sparse Transpose Proximities. KDD 2019: 1429-1437, ORAL

[23] Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei*, Wenqin Lin, Yin Yang and Nan Tang. Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM TODS 44(4): 18:1-18:37 (2019)

[24] Hanzhi Wang, Zhewei Wei*, Ye Yuan, Xiaoyong Du and Ji-Rong Wen.Exact Single-Source SimRank Computation on Large Graphs. SIGMOD Conference 2020: 653-66

[25] Qintian Guo, Sibo Wang, Zhewei Wei* and Min Chen. Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. SIGMOD Conference 2020: 2167-2181

[26] Hanzhi Wang, Zhewei Wei*, Junhao Gan, Sibo Wang, Zengfeng Huang. Personalized PageRank to a Target Node, Revisited. KDD 2020: 657-667

[27] Ming Chen, Zhewei Wei*, Zengfeng Huang, Bolin Ding, Yaliang Li. Simple and Deep Graph Convolutional Networks. ICML 2020: 1725-1735

[28] 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): 2202-2214 (2020)

[29] Ming Chen, Zhewei Wei*, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen: Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020

[30] Jingru Yang, Ju Fan, Zhewei Wei, Guoliang Li, Tongyu Liu, Xiaoyong Du: A game-based framework for crowdsourced data labeling. VLDB J. 29(6): 1311-1336 (2020)

[31] 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): 721-729 (2021)

[32] Hao Wu, Junhao Gan, Zhewei Wei*, Rui Zhang: Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. To appear in SIGMOD2021

[33] Hanzhi Wang, Zhewei Wei*, Yu Liu, Ye Yuan, Xiaoyong Du and Ji-Rong Wen. ExactSim: Benchmarking Single-Source SimRank Algorithmswith High-Precision Ground Truths. To appear in VLDB Journal, 2021

[34] Guanhao Hou, Xingguang Chen, Sibo Wang*, Zhewei Wei*: Massively Parallel Algorithms for Personalized PageRank. To appear in Proc. VLDB Endow. 14, 2021

[35] Yu Liu, Lei Zou, Zhewei Wei: Building Graphs at Scale via Sequence of Edges: Model and Generation Algorithms. To appear in TKDE 2021

[36] 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. To appear in ICML2021

[37] Hanzhi Wang, Mingguo He, Zhewei Wei*, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen: Approximate Graph Propagation. To appear in KDD2021

社会兼职

● 论文集主席:SIGMOD/PODS20, ICDT21

● 程序委员会成员:NeurIPS21, ICML21, KDD21, VLDB20, ICDE21, SIGMETRICS20, ICBK19,NDBC18

● 会议评审员: SODA, ISAAC, VLDB, ICDE, CIKM, PODS, SIGMOD, KDD

● 期刊评审员: TKDE, TODS, VLDBJ, TOIS, SICOMP, TALG, GEOINFORMATICA

● 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

荣誉获奖

● 人工智能与数字经济广东省实验室(琶洲实验室)青年科学家

● 2019年beat365官网教学标兵提名奖

● beat365官网“杰出学者”青年学者

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