- zhangdongxiang@zju.edu.cn
- 土木科技馆5楼
-
- · 大数据分析
- · 视频数据库
个人简介
张东祥，2012年新加坡国立大学博士毕业，现为浙江大学“百人计划”研究员，博士生导师，CCF数据库专业委员会委员。2016-2018年任电子科技大学特聘教授。在Nature子刊、TPAMI、TKDE、TPDS、SIGMOD、VLDB、ICDE、KDD、CVPR等国际期刊和会议发表论文70余篇，其中50余篇为CCF A类论文，2篇ESI高被引论文，Google Scholar引用4000余次，H指数35。以负责人身份主持国家重点研发计划课题、国家科学自然基金、阿里、华为等企业项目多项；多次担任重要数据库和数据挖掘会议的程序委员会委员，担任WWWJ期刊编委（Associate Editor）、APWeb-WAIM 2019的Publication Co-Chair，以及TKDE、TOIS、VLDB Journal和TIP等CCF A类期刊的审稿人员，获交通领域顶级期刊Transportation Research Part E（影响因子10.05）的Outstanding Reviewer称号。论文《Effective Multi-Modal Retrieval based on Stacked Auto-Encoders》获VLDB 2014最佳论文候选；论文《CANDS: Continuous Optimal Navigation via Distributed Stream Processing》获上海市数据库与数据挖掘2015年度候选优秀论文。2010年获新加坡国立大学计算机学院研究成果奖；2018年获ACM SIGMOD中国新星奖。2020年指导学生获CCF大数据与计算智能大赛一等奖。
指导学生
| 姓名 | 入学时间 | 发表论文 | 实习经历 | 备注 |
| 徐立麟 | 2024年 | 直博 | ||
| 张柏岩 | 2024年 | 直博 | ||
| 肖子洋 | 2023 博士生 2020 硕士生 | VLDB Demo 2023 (CCF A) AAAI 2023 (CCF A) KAIS 2023 (CCF B) ICLR 2024 (CCF B) ICPP 2024 (CCF B) | 阿里巴巴(2022.03-2022.08) 新加坡SUTD大学(2023.04-08) | 硕转博 |
| 李泽鹏 | 2022 博士生 | TKDE 2022 (CCF A) AAAI 2023 (CCF A) AAAI 2024 (CCF A) | 直博 | |
| 常志豪 | 2021 博士生 2019 硕士生 | VLDBJ 2022 (CCF A) TKDE 2021 (CCF A) AAAI 2024 (CCF A) | 阿里巴巴(2021.05-2022.03) | 硕转博 |
| 董太行 | 2021 博士生 | 2022.09转入 | ||
| 徐彦超 | 2020 博士生 | Nature子刊（共同一作） SIGMOD 2024 （CCF A） | 直博 | |
| 温利龙 | 2019 博士生 | WSDM 2023 (CCF B) ICMR (CCF B) | 工程博士 | |
| 朱靖彦 | 2024硕士生 | 浙大保研 | ||
| 蔡家超 | 2023 硕士生 | 成电保研 | ||
| 冯泽旭 | 2022 硕士生 | 西交保研 |
研究与成果
期刊论文：
Dongxiang Zhang, Zhihao Chang, Dingyu Yang, Dongsheng Li, Kian-Lee Tan, Ke Che and Gang Chen
SQUID: Subtrajectory Query in Trillion-Scale GPS Database
VLDB Journal (VLDBJ) 2023 (CCF A)
J. Huang, Y., Y. Xue, Y. Huang, X. Li, X. Chen, Y. Xu, D. Zhang, P. Zhang, J. Zhao and J. Ji
Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences
Nature BME 2023 (Nature子刊)
Xiaoziyang, Dongxiang Zhang*
A deep reinforcement learning agent for geometry online tutoring
Knowledge and Information System (KAIS) 2022 (CCF B)
Dongxiang Zhang, Zhihao Chang, Sai Wu, Ye Yuan, Kian-Lee Tan and Gang Chen
Continuous Trajectory Similarity Search for Online Outlier Detection
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2022 (CCF A)
Dongxiang Zhang, Zepeng Li, Xiaoli Wang, Kian-Lee Tan and Gang Chen
Towards One-Size-Fits-Many: Multi-Context Attention Network for Diversity of Entity Resolution Tasks
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2021 (CCF A)
Zhiyao Hu, Dongsheng Li, Dongxiang Zhang, Yiming Zhang, and Baoyun Peng
Optimizing Resource Allocation for Data-parallel Jobs via GCN-based Prediction
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2021 (CCF A)
Dongxiang Zhang, Dongsheng Li, Long Guo and Kian-Lee Tan
Unsupervised Entity Resolution with Blocking and Graph Algorithms
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2020 (CCF A)
Yuan Wang, Linfei Lei, Dongxiang Zhang* and Loo Hay Lee.
Effective neighborhood search strategies for integrated delivery optimization of E-commerce and static O2O parcels
Transportation Research Part B: Methodological (TRB) 2020 (IF=4.574)
Dongxiang Zhang, Lei Wang, Luming Zhang, Bingtian Dai and Heng Tao Shen.
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019 (CCF A)
Dongxiang Zhang, Rui Cao, Sai Wu.
Information fusion in visual question answering: A Survey.
Information Fusion 2019 (IF=10.716) [link]
Yuan Wang, Dongxiang Zhang*, Liu Ying, Kian-Lee Tan
Trajectory Forecasting with Neural Networks: An Empirical Evaluation and A New Hybrid Model
IEEE Transactions on Intelligent Transportaiton Systems (TITS) 2019 (IF=5.744)
Yazhou Yao, Jian Zhang, Fumin Shen, Li Liu, Fan Zhu, Dongxiang Zhang, Heng Tao Shen
Towards Automatic Construction of Diverse, High-quality Image Dataset.
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2018 (CCF A)
Yuan Wang, Dongxiang Zhang*, Ying Liu, Bo Dai and Loo Hay Lee.
Enhancing transportation systems via deep learning: A survey
Transportation Research Part C: Emerging Technologies 2018 (IF=5.775, ESI Highly Cited Paper) [link]
Dongxiang Zhang, Yuchen Li, Xin Cao, Jie Shao and Heng Tao Shen.
Augmented Keyword Search on Spatial Entity Databases.
VLDB Journal (VLDBJ) 2018 (CCF A) [link]
Long Guo, Dongxiang Zhang*, Yuan Wang, Huayu Wu, Bin Cui and Kian-Lee Tan.
CO2: Inferring Personal Interests From Raw Footprints.
ACM Transactions on Information Systems (TOIS) 2018 (CCF A) [link]
Dongxiang Zhang, Dingyu Yang, Yuan Wang, Kian-Lee Tan, Jian Cao and Heng Tao Shen.
Distributed Shortest Path Query Processing on Dynamic Road Networks.
VLDB Journal (VLDBJ) 2017 (CCF A) [link]
Qi Fan, Yuchen Li, Dongxiang Zhang and Kian-Lee Tan.
Discovering Newsworthy Themes From Sequenced Data: A Step Towards Computational Journalism.
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2017 (CCF A) [link]
Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao and Yi Yang.
Data-driven Answer Selection in Community QA Systems.
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2017 (CCF A) [link]
Dongxiang Zhang, Liqiang Nie, Huanbo Luan, Kian-Lee Tan, Tat-Seng Chua and Heng Tao Shen.
Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval.
ACM Transactions on Information Systems (TOIS) 2017 (CCF A) [link]
Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen and Heng Tao Shen.
Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications.
ACM Transactions on Information Systems (TOIS) 2017 (CCF A) [link]
Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu and Heng Tao Shen
Targeted Advertising in Public Transportation Systems with Quantitative Evaluation
ACM Transactions on Information Systems (TOIS) 2017 (CCF A) [link]
Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang and Tat-Seng Chua.
Unifying Virtual and Physical Worlds: Learning towards Local and Global Consistency.
ACM Transactions on Information Systems (TOIS) 2017 (CCF A) [link]
Long Guo, Dongxiang Zhang*, Gao Cong, Wei Wu and Kian-Lee Tan.
Influence Maximization in Trajectory Databases.
IEEE Transactions on Knowledge and Data and Engineering (TKDE) 2016 (CCF A) [link]
Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, Xiaoyong Du.
Distribution-Aware Crowdsourced Entity Collection.
IEEE Transactions on Data and Engineering (TKDE) 2016 (CCF A) [link]
Yuan Wang, Dongxiang Zhang*, Lu Hu, Yang Yang, Loo Lay Lee
A Data-Driven and Optimal Bus Scheduling Model with Time-Dependent Traffic and Demand.
IEEE Transactions on Intelligent Transportation Systems (TITS) 2016 (IF=5.744, ESI Highly Cited Paper) [link]
Yuan Wang, Dongxiang Zhang*, Qing Liu, Fumin Shen, Loo Lay Lee
Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions
Transportation Research Part E (TRE) 2016 (IF=4.253) [link]
Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Zhang, Yueting Zhuang
Effective Deep Learning Based Multi-Modal Retrieval
VLDB Journal (VLDBJ) 2015 (Special issue of VLDB 2014 best papers) (CCF A) [link]
Zhifeng Bao, Yong Zeng, Tok-Wang Ling, Dongxiang Zhang, Guolinag Li, H. V. Jagadish
A General Framework to Resolve the MisMatch Problem in XML Keyword Search
VLDB Journal (VLDBJ) 2015 (CCF A) [link]
会议论文：
Dongxiang Zhang, Teng Ma, Junnan Hu, Yijun Bei, Kian-Lee Tan, and Gang Chen
Co-movement Pattern Mining from Videos
VLDB 2024
Jiani Yang, Sai Wu, Dongxiang Zhang, Jian Dai, Feifei Li, and Gang Chen
Rethink of a Learned Cost Model: Why Start from Scratch?
SIGMOD 2024
Yanchao Xu, Dongxiang Zhang*, Shuhao Zhang, Sai Wu, Zexu Feng, and Gang Chen
Predictive and Near-Optimal Sampling for View Materialization in Video Databases
SIGMOD 2024
Zepeng Li, Dongxiang Zhang*, Sai Wu, Mingli Song, and Gang Chen
Sampling-resilient Multi-Object Tracking
AAAI 2024
Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, and Gang Chen
A Demonstration of DLBD: Database Logic Bug Detection System
VLDB 2023 (Demo)
Xiu Tang, Sai Wu, Dongxiang Zhang, Ziyue Wang, Gongsheng Yuan, and Gang Chen
A Demonstration of DLBD: Database Logic Bug Detection System
VLDB 2023 (Demo)
Zepeng Li, Dongxiang Zhang*, Yanyan Shen, and Gang Chen
Human-in-the-Loop Vehicle ReID
AAAI 2023
Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, and Gang Chen
Neural TSP Solver with Progressive Distillation
AAAI 2023
Lilong Wen, Yingrong Wang, Dongxiang Zhang*, and Gang Chen
Visual Matching Is Enough for Scene Text Retrieval
WSDM 2023
Xiu Tang, Sai Wu, Dongxiang Zhang, Feifei Li, and Gang Chen
Detecting Logic Bugs of Join Optimizations in DBMS
SIGMOD 2023
Runjin Chen, Yanyan Shen, and Dongxiang Zhang
GNEM: A Generic One-to-Set Neural Entity Matching Framework
WWW 2021
Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, and Kian-Lee Tan
Enhancing Balanced Graph Edge Partition with Effective Local Search
AAAI 2021
Dongxiang Zhang, Yuyang Nie, Sai Wu, Yanyan Shen, Kian-Lee Tan
Multi-Context Attention for Entity Matching
WWW 2020
Wentao Hu, Dongxiang Zhang, Dawei Jiang, Sai Wu, Ke Chen, Kian-Lee Tan, Gang Chen
AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases
SIGMOD 2020
Zhiyao Hu, Dongsheng Li, Dongxiang Zhang and Yixin Chen
ReLoca: Optimize Resource Allocation for Data-parallel Jobs using Deep Learning
INFOCOM 2020
Lei Wang, Dongxiang Zhang*, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen
Template-Based Math Word Problem Solvers with Recursive Neural Networks
AAAI 2019
Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang, Heng Tao Shen
Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis
AAAI 2019
Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang, Heng Tao Shen:
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
CVPR 2019
Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks
IJCAI 2019
Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong:
A Collaborative Learning Framework to Tag Refinement for Points of Interest
KDD 2019
Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu, Heng Tao Shen
A Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution
ICDE 2018
Ying Xu, Dongxiang Zhang*, Meihui Zhang, Dongsheng Li, Xiaoling Wang, Heng Tao Shen
Continuous Proximity Detection via Predictive Safe Region Construction
ICDE 2018
J. Fan, J. Qiu, Y. Li, Q. Meng, D. Zhang, G. Li, K.-L. Tan and X. Du
OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks
ICDE 2018
Lei Wang, Dongxiang Zhang*, Lianli Gao, Jingkuan Song, Long Guo and Heng Tao Shen
MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning
AAAI 2018
Jingkuan Song, Lianli Gao, Zhao Guo, Wu Liu, Dongxiang Zhang and Heng Tao Shen
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
IJCAI 2018
Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Jingkuan Song and Heng Tao Shen
Matrix Tri-Factorization with Manifold Regularizations for Zero-shot Learning
CVPR 2017
Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang and Heng Tao Shen
Event Early Embedding: Predicting Event Volume Dynamics at Early Stage
SIGIR 2017
Gang Hu, Jie Shao, Dongxiang Zhang, Yang Yang, and Heng Tao Shen
Preserving-Ignoring Transformation based Index for Approximate k Nearest Neighbor Search
ICDE 2017
Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui and Kian-Lee Tan
From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation
ICDE 2017
Yuchen Li, Ju Fan, Dongxiang Zhang and Kian-Lee Tan
Discovering Your Selling Points: Personalized Social Influential Tag Exploration
SIGMOD 2017
Qi Fan, Dongxiang Zhang, Huayu Wu and Kian-Lee Tan
A General and Parallel Platform for Mining Co-Movement Patterns over Large-scale Trajectories
VLDB 2017
Yuchen Li, Dongxiang Zhang, Ziquan Lan, Kian-Lee Tan
Context-Aware Advertisement Recommendation for High-Speed Social News Feeding
ICDE 2016
Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, Jingbo Zhu
Personal Recommendation Using Deep Recurrent Neural Network in NetEase
ICDE 2016
Long Guo, Dongxiang Zhang, Guoliang Li, Kian-Lee Tan, Zhifeng Bao
Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams
SIGMOD 2015
Yuchen Li, Dongxiang Zhang, Kian-Lee Tan
Real-time Targeted Influence Maximization for Online Advertisements
VLDB 2015
Dingyu Yang, Dongxiang Zhang*, Kian-Lee Tan, Jian Cao, Frederic Le Mouel
CANDS: Continuous Optimal Navigation via Distributed Stream Processing
VLDB 2015
Long Guo, Lu Chen, Dongxiang Zhang, Guoliang Li, Kian-Lee Tan and Zhifeng Bao
Elaps: An Efficient Location-Aware Pub/Sub System.
ICDE 2015
Lianli Gao, Jingkuan Song, Fuhao Zou, Dongxiang Zhang and Jie Shao
Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning
ACM MM 2015
Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang, Nicu Sebe
Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrieval
ACM MM 2015
Dongxiang Zhang, Chee-Yong Chan, Kian-Lee Tan
Processing Spatial-keyword Query as a Top-k Aggregation Query
SIGIR 2014
Dongxiang Zhang, Chee-Yong Chan, Kian-Lee Tan
An Efficient Publish/Subscribe Index for ECommerce Databases
VLDB 2014
Wei Wang, Beng Chin Ooi, Xiaoyan Yang, Dongxiang Zhang, Yueting Zhuang
Effective MultiModal Retrieval based on Stacked Auto-Encoders
VLDB 2014
Dongxiang Zhang, Divyakant Agrawal, Gang Chen, Anthony K. H. Tung
HashFile : An Efficient Index Structure For Multimedia Data
ICDE 2011
G. Chen, C. Liu, M. Lu, B. C. Ooi, S. Ying, A. K. H. Tung, D. Zhang and M. Zhang
A Cross-Service Travel Engine for Trip Planning.
SIGMOD 2011
Chen Liu, Beng Chin Ooi, Anthony K. H. Tung and Dongxiang Zhang
Crew: Cross-Modal Resource Searching by Exploiting Wikipedia
ACM MM 2010
Dongxiang Zhang, Beng Chin Ooi, Anthony K. H. Tung
Locating Mapped Resources in Web 2.0
ICDE 2010
Dongxiang Zhang, Yeow Meng Chee, Anirban Mondal, Anthony K. H. Tung, Masaru Kitsuregawa
Keyword Search in Spatial Databases: Towards Searching by Documents
ICDE 2009
教学与课程
夏学期 《数据挖掘导论》 大三学生
秋学期 《大数据分析与应用》 大四学生