|
Research
|
Selected publications
Full list
Recommendation
and Chatbot
-
Rui Zhang, Bayu D. Trisedya, Miao
Li, Yong Jiang, and Jianzhong Qi.
A Benchmark and Comprehensive
Survey on Knowledge Graph Entity Alignment via Representation Learning.
VLDB Journal, accepted in 2022. (source
code)
-
Shiquan Yang, Rui Zhang,
Sarah Erfani, Jey Han Lau.
An Interpretable Neuro-Symbolic Reasoning
Framework for Task-Oriented Dialogue Generation. 59th Annual Meeting
of the Association for Computational Linguistics (ACL) 2022.
-
Dong Yao, Zhou Zhao, Shengyu
Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He.
Contrastive Learning Adopting Positive-Negative Frame Mask for Music
Representation. The Web Conference (WWW), 2022.
-
Fuyuan Lyu, Xing Tang,
Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu.
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction
Methods for CTR Prediction. Proceedings of the 38th
IEEE International Conference on Data Engineering (ICDE) 2022.
-
Wei Guo,
Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang,
Xiuqiang He, Rui Zhang.
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through
Rate Prediction. Proceedings of the 38th
IEEE International Conference on Data Engineering (ICDE) 2022.
-
Runpeng Yu,
Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang,
Xiuqiang He.
Regularization Penalty Optimization for Addressing Data Quality Variance in
OoD Algorithms. The 36th AAAI Conference on Artificial Intelligence (AAAI)
2022.
-
Bayu
D. Trisedya, Jianzhong Qi, Wei Wang, and Rui Zhang.
GCP: Graph Encoder with
Content-Planning for Sentence Generation from Knowledge Base.
Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
accepted in 2021.
-
Shiquan Yang, Rui
Zhang, Sarah M. Erfani, Jey Han Lau.
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases
into End-to-End Task-Oriented Dialogue Systems.
International Joint Conference
on Artificial Intelligence (IJCAI) 2021.
-
Yixin Su, Rui Zhang,
Sarah M. Erfani, Junhao Gan.
Neural Graph Matching based Collaborative
Filtering. The 44th International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR) 2021
Code and Data
-
Yixin Su, Rui Zhang, Sarah
Erfani, Zhenghua Xu,
Detecting Beneficial Feature Interactions for Recommender Systems.
The 35th AAAI Conference on Artificial Intelligence (AAAI) 2021.
Code
and Data
-
Xiaojie Wang, Rui
Zhang, Yu Sun, Jianzhong Qi,
Combating Selection Biases in Recommender Systems with A Few Unbiased
Ratings.
The 13th ACM International Conference on Web Search and Data Mining (WSDM)
2021.
-
Shiquan Yang, Rui Zhang,
Sarah Erfani,
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented
Dialogue Systems, The 2020 Conference on Empirical Methods in
Natural Language Processing (EMNLP) 2020.
-
Xinting Huang, Jianzhong Qi, Yu Sun and
Rui Zhang,
Semi-Supervised Dialogue Policy
Learning via Stochastic Reward Estimation,
57th Annual Meeting of the Association for Computational
Linguistics (ACL), 2020.
-
Xinting Huang,
Jianzhong Qi, Yu Sun, Rui Zhang,
MALA:
Cross-Domain Dialogue Generation with Action Learning. Proceedings
of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
-
Xiaojie Wang,
Rui Zhang, Yu Sun, Jianzhong Qi.
Adversarial
Distillation for Learning with Privileged Provisions. Transactions
on Pattern Analysis and Machine Intelligence (TPAMI), accepted in
Sep 2019.
-
Xiaojie Wang,
Rui Zhang, Yu Sun, Jianzhong Qi.
Doubly
Robust Joint Learning for Recommendation on Data Missing Not at Random,
The 36th International Conference on Machine Learning (ICML)
2019.
-
Xiaojie Wang,
Rui Zhang, Yu Sun, Jianzhong Qi.
KDGAN:
Knowledge Distillation with Generative Adversarial Networks, 32nd
Conference on Neural Information Processing Systems (NIPS) 2018.
-
Xiaojie Wang,
Jianzhong Qi, Ramamohanarao
Kotagiri, Yu Sun, Bo Li, and Rui Zhang.
Joint
Optimization Approach for Personalized Recommendation Diversification.
22nd Pacific-Asia Conference on Advances in Knowledge Discovery and
Data Mining (PAKDD) 2018.
-
Chuandong Yin, Rui
Zhang, Jianzhong Qi, Yu Sun, and Tenglun
Tan.
Context-Uncertainty-Aware
Chatbot Action Selection via Parameterized Auxiliary Reinforcement
Learning. 22nd Pacific-Asia Conference on Advances in Knowledge
Discovery and Data Mining (PAKDD) 2018.
-
Yu Sun,
Nicholas Jing Yuan, Xing Xie, Kieran
McDonald, Rui Zhang.
Collaborative
Intent Prediction with Real-Time Contextual Data, ACM
Transactions on Information Systems (TOIS), 35 (4), 30, 2017.
-
Yu Sun, Nicholas Jing Yuan, Yingzi Wang,
Xing Xie, Kieran McDonald, Rui Zhang.
Contextual
Intent Tracking for Personal Assistants, 26th ACM SIGKDD
Conference on Knowledge Discovery and Data Mining (KDD)
2016. Best Student Paper Award for the Applied Data
Science track.
Video
Slides
-
Yu Sun,
Nicholas Jing Yuan, Xing Xie, Kieran
McDonald, Rui Zhang.
Collaborative
Nowcasting for Contextual Recommendation, WWW conference
2016.
Spatial Data Mining, Knowledge Base, Information
Extraction
-
Yunxiang Zhao,
Jianzhong Qi, Qingwei Liu, Rui Zhang.
WGCN: Graph Convolutional Networks
with Weighted Structural Features. The 44th International ACM SIGIR
Conference on Research and Development in Information Retrieval (SIGIR)
2021
Code and Data
-
Ning Ding, Xiaobin Wang, Yao
Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao
Zheng, Rui Zhang,
Prototypical Representation Learning for Relation Extraction.
The
Ninth International Conference on Learning Representations (ICLR)
2021.
-
Yimeng Dai, Rui
Zhang, Jianzhong Qi,
Automatic Webpage Briefing.
Proceedings of the 37th
IEEE International Conference on Data Engineering (ICDE) 2021.
-
Hao Wu, Junhao Gan, Zhewei Wei, Rui
Zhang,
Unifying the Global and Local Approaches: An Efficient Power
Iteration with Forward Push. Proceedings of ACM Conference on Management
of Data (SIGMOD) 2021.
-
Yu Gu, Kaiqiang Yu, Zhen
Song, Jianzhong Qi, Zhigang Wang, Ge Yu, and Rui Zhang. Distributed
Hypergraph Processing Using Intersection Graphs.
IEEE Transactions on Knowledge and
Data Engineering (TKDE),
accepted in August 2020.
-
Yunxiang Zhao, Qiuhong Ke,
Flip Korn, Jianzhong Qi, and Rui Zhang.
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks.
20th IEEE International Conference on Data Mining (ICDM) 2020.
-
Yimeng Dai, Rui
Zhang, Jianzhong Qi.
Person
Name Recognition with Fine-grained Name Annotation. Proceedings
of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020),
2020.
-
Yimeng Dai,
Jianzhong Qi, and Rui Zhang.
Joint
Recognition of Names and Publications in Academic Homepages. The
13th ACM International Conference on Web Search and Data Mining (WSDM
2020), 133-141, 2020.
-
Bayu
Distiawan Trisedya,
Jianzhong Qi, Rui Zhang,
Sentence
Generation for Entity Description with Content-plan Attention. Proceedings
of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
-
Jianzhong
Qi, Wei Wang, Rui Zhang, and Zhuowei Zhao. A
Learning Based Approach to Predict Shortest-Path Distances. 23th
International Conference on Extending Database Technology (EDBT),
2020.
-
Hongfei Xu, Yu
Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang,
Efficient
processing of moving collective spatial keyword queries. VLDB
Journal, accpeted in Nov 2019.
-
Bayu
Distiawan Trisedya,
Gerhard Weikum, Jianzhong Qi, Rui Zhang.
Neural
Relation Extraction for Knowledge Base Enrichment. 56th Annual
Meeting of the Association for Computational Linguistics (ACL)
2019.
-
Yunxiang Zhao,
Jianzhong Qi, and Rui Zhang.
CBHE:
Corner-based Building Height Estimation for Complex Street Scene
Images. The Web Conference (WWW), 2019.
-
Bayu
Distiawan Trsedya,
Jianzhong Qi, Rui Zhang.
Entity
Alignment between Knowledge Graphs Using Attribute Embeddings, Proceedings
of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019).
-
Bayu
Distiawan Trisedya,
Jianzhong Qi, Rui Zhang, Wei Wang.
GTR-LSTM: A Triple Encoder
for Sentence Generation from RDF Data. 56th Annual
Meeting of the Association for Computational Linguistics (ACL)
2018.
-
Mingzhao Li,
Zhifeng Bao, Timos
Sellis, Shi Yan, Rui Zhang,
HomeSeeker: A visual analytics system of real
estate data, Journal of Visual Languages & Computing, 45,
1-16, 2018.
-
Sheng
Wang, Zhifeng Bao, Shixun
Huang, Rui Zhang,
A
Unified Processing Paradigm for Interactive Location-based Web Search,
The 11th ACM International Conference on Web Search and Data Mining
(WSDM 2018).
-
Xiaojie Wang,
Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai,
Rui Zhang,
Search
Result Diversity Evaluation based on Intent Hierarchies, IEEE
Transactions on Knowledge and Data Engineering (TKDE), 30 (1):
156-169, 2018.
-
Weihao Cheng,
Sarah Erfani, Rui Zhang, Kotagiri
Ramamohanarao.
Predicting
Complex Activities from Ongoing Multivariate Time Series. International
Joint Conference on Artificial Intelligence (IJCAI), 2018.
-
Weihao Cheng,
Sarah M. Erfani, Rui Zhang,
Kotagiri Ramamohanarao,
Learning
Datum-Wise Sampling Frequency for Energy-Efficient Human Activity
Recognition, Proceedings of the 32th AAAI Conference on
Artificial Intelligence (AAAI 2018).
-
Weihao Cheng,
Sarah M. Erfani, Rui Zhang,
Kotagiri Ramamohanarao:
Accurate
Recognition of the Current Activity in the Presence of Multiple
Activities. 21st Pacific-Asia Conference on Advances in
Knowledge Discovery and Data Mining (PAKDD) 2017: 39-50
-
Zeyi Wen, Bin
Li, Rao Kotagiri, Jian Chen,
Yawen Chen, Rui Zhang.
Improving Efficiency of
SVM k-fold Cross-validation by Alpha Seeding. Proceedings of
the 31th AAAI Conference on Artificial Intelligence (AAAI'2017).
-
Jiazhen He,
Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan,
and Jeffrey Chan. MOOCs Meet
Measurement Theory: A Topic-Modelling Approach. Proceedings of
the 30th AAAI Conference on Artificial Intelligence (AAAI'2016).
-
Jiazhen He,
James Bailey, Benjamin Rubinstein, Rui Zhang,
Identifying At-Risk Students in
Massive Open Online Courses, Proceedings of the 29th AAAI
Conference on Artificial Intelligence (AAAI), 2015.
-
Zeyi Wen, Rui
Zhang, Kotagiri Ramamohanarao,
Jianzhong Qi and Kerry Taylor.
MASCOT: Fast and Highly
Scalable SVM Cross-validation using GPUs and SSDs. The IEEE
International Conference on Data Mining (ICDM), 2014.
Databases and Others
-
Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui
Zhang.
Noise Doesn’t Lie: Towards Universal Detection of Deep Inpainting.
International Joint Conference
on Artificial Intelligence (IJCAI) 2021.
-
Yang
Song, Yu Gu, Rui Zhang, Ge Yu,
ProMIPS: Efficient High-Dimensionalc-Approximate Maximum Inner Product
Searchwith a Lightweight Index. Proceedings of the 37th
IEEE International Conference on Data Engineering (ICDE) 2021.
-
Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui
Mao, Onizuka Makoto, Wei Wang, Rui Zhang,
Consistent and Flexible
Selectivity Estimation for High-Dimensional Data. Proceedings of ACM
Conference on Management of Data (SIGMOD) 2021.
-
Ang Li, Shanshan Zhao,
Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, and
Ramamohanarao Kotagiri.
Short-Term and
Long-Term Context Aggregation Network for Video Inpainting. 16th
European Conference on Computer Vision (ECCV) 2020.
-
Hao Wu,
Junhao Gan, Rui Zhang.
Learning
Based Distributed Tracking. 30th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD) 2020.
-
Jianzhong
Qi, Yufei Tao, Yanchuan
Chang, and Rui Zhang.
Packing
R-trees with Space-Filling Curves: Theoretical Optimality, Empirical
Efficiency, and Bulk-loading Parallelizability. ACM
Transactions on Database Systems (TODS), accepted in April 2020.
-
Yang
Song, Yu Gu, Rui Zhang and Ge Yu.
BrePartition: Optimized High-Dimensional
kNN Search with Bregman Distances. IEEE
Transactions on Knowledge and Data Engineering (TKDE), Accepted in
April 2020.
-
Ang Li,
Jianzhong Qi, Rui Zhang, Kotagiri
Ramamohanarao.
Generative
Image Inpainting with Submanifold Alignment, International
Joint Conference on Artificial Intelligence (IJCAI) 2019.
http://arxiv.org/abs/1908.00211
-
Zhen
Wang, Rui Zhang, Jianzhong Qi, Bo Yuan.
DBSVEC:
Density-Based Clustering Using Support Vector Expansion. Proceedings
of the 34th IEEE International Conference on Data Engineering (ICDE),
2019.
-
Zeyi Wen,
Dong Deng, Rui Zhang, Kotagiri
Ramamohanarao.
2ED:
An Efficient Entity Extraction Algorithm using Two-Level Edit-Distance.
Proceedings of the 34th IEEE International Conference on Data
Engineering (ICDE), 2019.
-
Wenkai Jiang,
Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, Rui
Zhang. HyperX: A Scalable
Hypergraph Framework. IEEE Transactions on Knowledge and Data
Engineering (TKDE), 31 (5), 909 – 922, 2019.
code
-
Tanzima Hashem,
Lars Kulik, Kotagiri Ramamohanarao,
Rui Zhang, Subarna Chowdhury Soma,
Protecting Privacy for Distance and Rank Based Group Nearest Neighbor
Queries, World Wide Web Journal (WWWJ), 22, 375–416, 2019.
-
Xi Zheng,
Yuqun Zhang, Tianlei
Zheng, Yao Deng, ErXi Dong, Rui Zhang, Xiao
Liu, SmartVM: a SLA-aware microservice
deployment framework, World
Wide Web Journal (WWWJ), 22, 275–293, 2019.
-
Jianzhong
Qi, Yufei Tao, Yanchuan
Chang, Rui Zhang,
Theoretically
Optimal and Empirically Efficient Rtrees
with Strong Parallelizability, Proceedings of the VLDB
Endowment (PVLDB), 11(5), 2018.
-
Jianzhong
Qi, Vivek Kumar, Rui Zhang, Egemen
Tanin, Goce
Trajcevski, and Peter Scheuermann. Continuous
Maintenance of Range Sum Heat Maps. Proceedings of the 33th IEEE
International Conference on Data Engineering (ICDE) 2018. (demo).
-
Zeyi Wen, Rui Zhang,
Kotagiri Ramamohanarao, Li Yang, Scalable and fast SVM regression using
modern hardware, World Wide Web Journal (WWWJ), 21(2): 261-287,
2018.
-
Saad
Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui
Zhang, Zhen He, Yuan Li.
Finding
Lowest-Cost Paths in Settings with Safe and Preferred Zones. VLDB
Journal, 26(3): 373-397, 2017.
-
Yu Gu,
Guanli Liu, Jianzhong Qi, Hongfei
Xu, Ge Yu, and Rui Zhang.
The
Moving K Diversified Nearest Neighbor Query. IEEE Transactions on
Knowledge and Data Engineering (TKDE), 28(10): 2778-2792, 2016.
-
Yu Sun,
Rui Zhang, Andy Yuan Xue, Jianzhong Qi,
Xiaoyong Du.
Reverse Nearest Neighbor
Heat Maps: A Tool for Influence Exploration, Proceedings of the
31th IEEE International Conference on Data Engineering (ICDE) 2016.
see
RNN heat maps for cities around the world.
-
Chuanwen Li, Yu
Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and Qingxu
Deng. INSQ: An
Influential Neighbor Set Based Moving kNN
Query Processing System. Proceedings of the 31th IEEE
International Conference on Data Engineering (ICDE) 2016. (demo).
-
Jin Huang,
Rui Zhang, Rajkumar Buyya, Jian Chen,
Yongwei Wu,
HEADS-JOIN: Efficient
Earth Mover’s
Distance Similarity Joins on Hadoop, IEEE Transactions on
Parallel and Distributed Systems (TPDS), 27(6): 1660-1673, 2016.
-
Jin Huang,
Rui Zhang, and Jeffrey Xu Yu.
Scalable Hypergraph Processing,
The IEEE International Conference on Data Mining (ICDM), 2015.
(Short)
-
Weichao Guo,
Kang Chen, Huan Feng, Yongwei Wu, Rui Zhang,
Weimin Zheng. MARS: Mobile Application
Relaunching Speed-up through Flash-Aware Page Swapping, IEEE
Transactions on Computers, 65(3): 916-928, 2016.
-
Thi
Nguyena, Zhen He, Rui Zhang, Philip G. D. Ward,
Exploiting
velocity distribution skew to speed up moving object indexing, Information
Systems, 51(c):72-104, 2015.
-
Yu Sun,
Jianzhong Qi, Yu Zheng, Rui Zhang,
K-Nearest Neighbor Temporal
Aggregate Queries, EDBT 2015.
-
Saad
Aljubayrin, Jianzhong Qi, Christian Jensen, Rui
Zhang, Zhen He, Zeyi Wen.
The Safest
Path via Safe Zones. Proceedings of the 31th IEEE International
Conference on Data Engineering (ICDE) 2015.
-
Chuanwen Li, Yu
Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and Yi Wang.
Processing Moving
kNN Queries Using Influential Neighbor Sets. Proceedings
of the VLDB Endowment (PVLDB), vol.8 (2): 113 - 124, 2014.
Source code.
-
Andy Yuan
Xue, Jianzhong Qi, Xing Xie,
Rui Zhang, Jin Huang, and Yuan Li.
Solving the
Data Sparsity Problem in Destination Prediction. VLDB Journal,
24 (2): 219-243, 2014.
-
Phillip
G. D. Ward, Zhen He, Rui Zhang and Jianzhong Qi.
Real-time
Continuous Intersection Joins over Large Sets of Moving Objects using
Graphic Processing Units. VLDB Journal, 23(6): 965-985,
2014.
-
Yanqiu Wang,
Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu
and Ge Yu. Continuous Visible
k Nearest Neighbor Query on Moving Objects. Information Systems,
44: 1-21, 2014.
-
Rui
Zhang, Jianzhong Qi, Martin Stradling and Jin
Huang. Towards a
Painless Index for Spatial Objects. ACM Transactions on Data
Base Systems (TODS), 39 (3), 19, 2014.
source
code
-
Dongsheng
Duan, Yuhua
Li , Ruixuan Li, Rui
Zhang, Xiwu Gu, Kunmei
Wen. LIMTopic:
A Framework of Incorporating Link based Importance into Topic Modeling.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(10):
2493-2506. 2014.
-
Jin Huang,
Rui Zhang, Rajkumar Buyya, and Jian Chen.
MELODY-Join: Efficient
Earth Mover's Distance Similarity Join Using MapReduce. Proceedings
of the 30th IEEE International Conference on Data Engineering (ICDE)
2014. Slides,
Source code and Datasets.
-
Jianzhong
Qi, Rui Zhang, Kotagiri Ramamohanarao,
Hongzhi Wang, Zeyi Wen and Dan Wu.
Indexable
Online Time Series Segmentation with Error Bound Guarantee. World
Wide Web Journal (WWWJ), accepted
in September 2013.
-
Jianzhong
Qi, Rui Zhang, Yanqiu Wang, Andy Yuan
Xue, Ge Yu, Lars Kulik.
The Min-dist Location Selection and Facility Replacement
Queries. World Wide Web Journal (WWWJ), 17(6): 1261-1293, 2014.
-
Andy Yuan
Xue, Rui Zhang, Yu Zheng, Xing
Xie, Jianhui Yu, Yong
Tang.
DesTeller: A System for Destination Prediction
Based on Trajectories with Privacy Protection. (Demo) Proceedings
of the VLDB Endowment (PVLDB) vol.6(12):1198-1201, 2013.
Play the
Demo
-
Andy Yuan
Xue, Rui Zhang, Yu Zheng, Xing
Xie, Jin Huang,
Zhenghua Xu.
Destination Prediction by
Sub-Trajectory Synthesis and Privacy Protection Against Such Prediction.
IEEE International Conference on Data Engineering (ICDE)
2013.
Slides
-
Tanzima Hashem,
Lars Kulik, Rui Zhang. Countering
Overlapping Rectangle Privacy Attack for Moving kNN
Queries. Information Systems. 38(3): 430-453, 2013.
-
Dongsheng
Duan, Yuhua Li,
Ruixuan Li, Rui Zhang, Aiming Wen.
RankTopic:
Ranking Based Topic Modeling. IEEE International Conference on
Data Mining (ICDM) 2012.
-
Thi Nguyen,
Zhen He, Rui Zhang, Phillip Ward.
Boosting Moving Object
Indexing through Velocity Partitioning. Proceedings of the VLDB
Endowment (PVLDB) 2012, vol.5(9):860-871 / (VLDB)
2012.
-
Zhenghua Xu, Rui
Zhang, Ramamohanarao Kotagiri,
Udaya Parampalli.
An Adaptive
Algorithm for Online Time Series Segmentation with Error Bound
Guarantee. 15th International Conference on Extending Database
Technology (EDBT) 2012.
-
Jianzhong
Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue.
The
Min-dist Location Selection Query. IEEE
International Conference on Data Engineering (ICDE) 2012.
-
Rui
Zhang, Jianzhong Qi, Dan Lin, Wei Wang, Raymond Chi-Wing Wong.
A Highly Optimized
Algorithm for Continuous Intersection Join Queries over Moving Objects,
VLDB Journal, 21(4): 561-586, 2012.
-
Dan Lin,
Christian Jensen, Rui Zhang, Lu Xiao, Jiaheng
Lu. A Moving Object
Index for Efficient Query Processing with Peer-Wise Location Privacy,
Proceedings of the VLDB Endowment (PVLDB) 2011, vol.5 / (VLDB)
2012. slides
-
Sarana
Nutanong, Egemen
Tanin, Jie Shao, Rui
Zhang, and Kotagiri Ramamohanarao,
Continuous Detour Queries
in Spatial Networks, IEEE Transactions on Knowledge and Data
Engineering (TKDE), 24(7): 1201-1215, 2012.
-
Alex
Hindle, Jie Shao, Dan
Lin, Jiaheng Lu, Rui Zhang.
Clustering Web Video
Search Results based on Integration of Multiple Features. World
Wide Web Journal (WWWJ), 14(1): 53-73, 2011.
-
Rui
Zhang, Martin Stradling. The
HV-tree: a Memory Hierarchy Aware Version
Index. Proceedings of the VLDB Endowment (PVLDB), 3(1):
397-408, 2010. slides
-
Rui
Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri
Ramamohanarao.
Optimized Algorithms for
Predictive Range and KNN Queries on Moving Objects. Information
Systems, 35(8): 911-932, 2010.
-
Mohammed
Eunus Ali, Egemen
Tanin, Rui Zhang, Lars Kulik.
A Motion-Aware Approach for
Efficient Evaluation of Continuous Queries on 3D Object Databases,
VLDB Journal, 19(5): 603-632, 2010.
-
Rui
Zhang, Nick Koudas, Beng
Chin Ooi, Divesh
Srivastava, Pu Zhou. Streaming
Multiple Aggregations Using Phantoms, VLDB Journal, 19(4):
557-583, 2010.
-
Tanzima Hashem,
Lars Kulik, Rui Zhang. Privacy Preserving
Group Nearest Neighbor Queries, EDBT 2010.
-
Xiaoyan Liu,
Xindong Wu, Huaiqing
Wang, Rui Zhang, James Bailey, Kotagiri
Ramamohanarao . Mining
Distribution Change in Stock Order Streams, ICDE 2010
(short paper).
-
Sarana
Nutanong, Rui Zhang, Egemen
Tanin, Lars Kulik.
Analysis and Evaluation of V*-kNN: An Efficient Algorithm for Moving
kNN Queries, VLDB Journal, 19(3):
307-332, 2010. Slides
-
Sarana
Nutanong, Egemen
Tanin, Rui Zhang.
Incremental Evaluation of
Visible Nearest Neighbor Queries. IEEE Transactions on
Knowledge & Data Engineering (TKDE), 22(5): 665-681, 2010.
-
Sarana
Nutanong, Rui Zhang, Egemen
Tanin, Lars Kulik.
V*-kNN:
an Efficient Algorithm for Moving k Nearest
Neighbor Queries. (Demo) International Conference on Data Engineering
(ICDE), Shanghai, China, 2009.
-
Sarana
Nutanong, Rui Zhang, Egemen
Tanin, Lars Kulik.
The V*-Diagram: A Query Dependent
Approach to Moving KNN Queries. Proceedings of the VLDB
Endowment (VLDB), 1, 1095-1106, 2008.
Slides
Source code.
-
David
Lomet, Mingsheng Hong,
Rimma Nehme, Rui Zhang.
Transaction
Time Indexing with Version Compression. Proceedings of the VLDB
Endowment (VLDB), 1, 870-881, 2008.
-
Rui
Zhang, Dan Lin, Kotagiri Ramamohanarao,
Elisa Bertino.
Continuous Intersection
Joins Over Moving Objects. International Conference on Data
Engineering (ICDE), Cancun, Mexico, 2008.
Slides
-
Mohammed
Eunus Ali, Rui Zhang, Egemen
Tanin, Lars Kulik.
A Motion-Aware Approach to
Continuous Retrieval of 3D Objects. International Conference on
Data Engineering (ICDE), Cancun, Mexico, 2008.
Slides
-
Anthony
Tung, Rui Zhang, Nick Koudas,
Beng Chin Ooi.
Similarity Search: A Matching
Based Approach. International Conference on Very Large Data
Bases (VLDB), Seoul, 2006. Slides
-
Christian
S. Jensen, Dan Lin, Beng Chin
Ooi, Rui Zhang.
Effective Density Queries
of Continuously Moving Objects. International Conference on
Data Engineering (ICDE), Atlanta, 2006.
-
Rui
Zhang, Nick Koudas, Beng
Chin Ooi, Divesh
Srivastava. Multiple
Aggregations Over Data Streams. ACM SIGMOD International
Conference on Management of Data (SIGMOD), Baltimore, 2005.
Slides
-
Rui
Zhang, Panos Kalnis,
Beng Chin Ooi,
Kian-Lee Tan. Generalized
Multi-dimensional Data Mapping and Query Processing. ACM
Transactions on Data Base Systems (TODS), 30(3): 661-697, 2005.
-
H.V.
Jagadish, Beng Chin Ooi,
Kian-Lee Tan, Cui Yu, Rui Zhang.
iDistance:
An Adaptive B+-tree Based Indexing Method for Nearest Neighbor Search.
ACM Transactions on Data Base Systems (TODS), 30(2), 364-397,
2005.
-
Nick
Koudas, Beng Chin
Ooi, Kian-Lee Tan, Rui Zhang.
Approximate NN queries on Streams
with Guaranteed Error/performance Bounds. International
Conference on Very Large Data Bases (VLDB), Toronto, 2004.
Slides
-
Rui
Zhang, Beng Chin Ooi,
Kian-Lee Tan. Making the
Pyramid Technique Robust to Query Types and Workload. International
Conference on Data Engineering (ICDE), Boston, 2004.
Slides
|
|
|
|
Selected Professional Activities
Full list
- 2020: PC member
of ICDE, PVLDB, Web Conference (WWW), Associate Editor of World Wide Web
Journal
- 2019: PC
member of ICDE, PVLDB, Web Conference (WWW), AAAI, DASFAA
- 2018: PC member
of ICDE, General Chair of ADC, CIKM Senior PC
- 2017: CIKM
Senior PC
- 2016:
Associate Editor of Distributed and Parallel Databases, PC member of
MDM, IEEE BigDataSE
- 2015: CIKM
Local Co-Chair, PC member of SIGMOD, General Chair of ADC 2015
(co-located with SIGMOD).
- 2014: ICDE
Industry Track PC member, SIGMOD Exhibits Co-Chair.
- 2013: Program
Committee Co-Chair for Australasian
Database Conference 2013; Demo Co-Chair of ICDE; PC member of
SIGMOD, ICDE; Publication Co-Chair of ApWeb;
WISE Demo Chair.
- 2012: Program
Committee Co-Chair for Australasian
Database Conference 2012, PC member of ICDE, VLDB, Vice Chair of
ACM SIGSPATIAL Australia Chapter.
- 2011: PC
member of ICDE, DASFAA
- 2010: Review
board of Proceedings of the VLDB Endowment; PC member of KDD, CIKM,
DASFAA
- 2009: Review
board of Proceedings of the VLDB Endowment; PC member of ICDE, DASFAA
- 2008: Review
board of Proceedings of the VLDB Endowment; DASFAA
- 2007: PC
member of SIGMOD, DASFAA
- Reviewer for VLDB
Journal, ACM Trans. on Database Systems, IEEE Trans. on Knowledge and
Data Engineering, IEEE Trans. on Computers, Information Systems
|
|
|
|
Research Interests and Projects
- Big Data
analytics
- Artificial
Intelligence (AI), Machine Learning
- Spatial and temporal
data management, including high-dimensional data and moving object
management
- The Geographic Knowledge Base Project
|
|
|
|
|
Research Grants
- 2013 - 2015
ARC Discovery $275,000
- 2013 - 2015 ARC
Discovery $452,000
- 2013 - 2016
ARC Future Fellow $564,747 + $200,000
- 2008 - 2011
ARC Discovery $590,000
- 2008 - 2010
ARC Discovery $234,000
- 2008,
Melbourne Early Career Researcher (ECR) Grant. $10,000
- 2007,
Melbourne Early Career Researcher (ECR) Grant. $50,000
|
|
|
|
Released Code and Datasets
|
|
|
|
Patent
- US patent:
with Divesh Srivastava and Nick Koudas. System and method for managing data streams,
US patent number 7,631,074, Issuing
date: Dec 8, 2009
|
|
|
|
