Peixiang Zhao
Department of Computer Science
Florida State University Office: 361 James J. Love Building
Address: 1017 Academic Way
Tallahassee, Florida 32306
(Map)
Email: zhao [AT] cs.fsu.edu
FSU Calendar
Selected Publication [DBLP] [Google Scholar]
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Poligras: Policy-based Graph Summarization
Jiyang Bai, Peixiang Zhao
VLDB'24: The 50th International Conference on Very Large Data Bases (VLDB'24), Guangzhou, China. Aug. 2024
[ Paper ] -
TaGSim: Type-aware Graph Similarity Learning and Computation
Jiyang Bai, Peixiang Zhao
VLDB'22: The 48th International Conference on Very Large Data Bases (VLDB'22), Sydney, Australia. Sept. 2022
[ Paper | Slides ] -
Efficient Structural Clustering in Large Uncertain Graphs
Yongjiang Liang, Tingting Hu, Peixiang Zhao
ICDE'20: The 36th IEEE International Conference on Data Engineering. Dallas, Texas. Apr. 2020
[ Paper | Video ] -
Workload-aware Subgraph Query Caching and Processing in Large Graphs
Yongjiang Liang, Peixiang Zhao
ICDE'19: The 35th IEEE International Conference on Data Engineering. Macau SAR, China. Apr. 2019
[ Paper ] -
Link Analytics in Graphs
Peixiang Zhao
Encyclopedia of Big Data Technologies. 2018.
[ Book ] -
Automatic Extraction of Relationship Information Using Grammatical Relationship Graph
Kaixian Yu, Tingting Zhao, Peixiang Zhao, and Jinfeng Zhang
BIBM-SEPDA'17: The 2nd International Workshop on Semantics-powered Data Analytics. Kansas City, Missouri. Nov. 2017
Journal of BMC Medical Informatics and Decision Making. 2018.
[ Paper ] -
Truss-based Community Search: a Truss-equivalence Based Indexing Approach
Esra Akbas, Peixiang Zhao
VLDB'17: The 43rd International Conference on Very Large Data Bases. Munich, Germany. Aug. 2017
[ Paper | Slides ] -
Attributed Graph Clustering: an Attribute-aware Graph Embedding Approach
Esra Akbas, Peixiang Zhao
ASONAM'17: The 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Sydney, Australia. Aug. 2017
[Paper] -
Similarity Search in Graph Databases: A Multi-layered Indexing Approach
Yongjiang Liang, Peixiang Zhao
ICDE'17: The 33rd IEEE International Conference on Data Engineering. San Diego, California. Apr. 2017
[ Paper | Slides | Project] -
Link Prediction in Graph Streams
Peixiang Zhao, Charu Aggarwal, Gewen He
ICDE'16: The 32nd IEEE International Conference on Data Engineering. Helsinki, Finland. May 2016
[Paper | Slides ] -
Edge Classification in Networks
Charu Aggarwal, Gewen He, Peixiang Zhao
ICDE'16: The 32nd IEEE International Conference on Data Engineering. Helsinki, Finland. May 2016
[ Paper | Slides ] -
Similarity Search in Large-scale Graph Databases
Peixiang Zhao
Book Chapter - Springer Handbook of Big Data Technologies. 2016.
[Paper] -
gSparsify: Graph Motif Based Sparsification for Graph Clustering
Peixiang Zhao
CIKM'15: The 24th ACM International Conference on Information and Knowledge Management. Melbourne, Australia. Oct. 2015
[ Paper | Slides ] -
Backward Path Growth For Efficient Mobile Sequential Recommendation
Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song
TKDE'15: IEEE Transaction on Knowledge and Data Engineering. Vol. 27:1, Jan. 2015
[Paper] -
RASS: a Web Server for RNA Alignment in the Joint Sequence-structure Space
Gewen He, Albert Steppi, Jose Laborde, Anuj Srivastava, Peixiang Zhao, Jinfeng Zhang
NAR'14: Nucleic Acids Research. Oxford University Press. 2014
[Paper] -
Towards Graphical Models for Text Processing
Charu Aggarwal, Peixiang Zhao
KAIS'13: Knowledge and Information Systems. Vol 36:1, Jul. 2013
[Paper] -
gSketch: On Query Estimation in Graph Streams
Peixiang Zhao, Charu Aggarwal, Min Wang
VLDB'12: The 38th International Conference on Very Large Data Bases. Istanbul, Turkey. Aug. 2012.
[Paper | Slides | Code] -
Query-driven Discovery of Semantically Similar Substructures in Heterogeneous Networks
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
KDD'12: The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Beijing, China. Aug. 2012.
[Paper] -
Evaluating Event Credibility on Twitter
Manish Gupta, Peixiang Zhao, Jiawei Han
SDM'12: 2012 SIAM International Conference on Data Mining. Anaheim, California. Apr. 2012.
[Paper] -
Graph Cube: On Warehousing and OLAP Multidimensional Networks
Peixiang Zhao, Xiaolei Li, Dong Xin, Jiawei Han
SIGMOD'11: The 2011 ACM International Conference on Management of Data. Athens, Greece. Jun. 2011
[Paper| Slides] -
Location-aware Click Prediction in Mobile Local Search
Dimitrios Lymberopoulos, Peixiang Zhao, Arnd Christian Konig, Klaus Berberich, Jie Liu
CIKM'11: The 20th ACM Conference on Information and Knowledge Management. Glasgow, United Kingdom. Oct. 2011
[Paper] -
Improving Local Search Ranking through External Logs
Klaus Berberich, Arnd Christian Konig, Dimitrios Lymberopoulos, Peixiang Zhao
SIGIR'11: The 34th ACM SIGIR Conference on Research and Development in Information Retrieval. Beijing, China. Jul. 2011.
[Paper] -
On Graph Query Optimization in Large Networks
Peixiang Zhao, Jiawei Han
VLDB'10: The 36th International Conference on Very Large Data Bases. Singapore. Sept. 2010.
[Paper| Slides] -
Graphical Models for Text: A New Paradigm for Text Representation and Processing
Charu Aggarwal, Peixiang Zhao
SIGIR'10: The 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Geneva, Switzerland. Jul. 2010
[Poster] -
gSkeleton-Clu: Density-based Network Clustering via Structure-Connected Tree Division or Agglomeration
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, Boqin Feng
ICDM'10: The 10th IEEE International Conference on Data Mining. Sydney, Australia. Dec. 2010
[Paper] -
P-Rank: A Comprehensive Structural Similarity Measure over Information Networks
Peixiang Zhao, Jiawei Han, Yizhou Sun
CIKM'09: The 18th ACM Conference on Information and Knowledge Management. Hong Kong, China. Nov. 2009.
[Paper|Slides] -
RankClus: Integrating Clustering with Ranking for Heterogeneous Information Network Analysis
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng and Tianyi Wu
EDBT'09: The 12th International Conference on Entending Database Technology. Saint-Petersburg, Russia. Mar. 2009.
[Paper] -
BibNetMiner: Mining Bibliographic Information Networks
Yizhou Sun, Tianyi Wu, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao
SIGMOD'08: The 2011 ACM International Conference on Management of Data. Vancouver, Canada. Jun. 2008
[Paper] -
Fast Frequent Free Tree Mining in Graph Databases
Peixiang Zhao, Jeffrey Xu Yu
WWW Journal'08: World Wide Web Journal. Vol 11:1, Mar. 2008.
[Paper] -
Graph Indexing: Tree + Delta >= Graph
Peixiang Zhao, Jeffrey Xu Yu, and Philip S. Yu
VLDB'07: The 33rd International Conference on Very Large Data Bases. Vienna, Austria. Sept. 2007
[Paper| Slides] -
Closed Frequent Free Tree Mining in Graph Databases
Peixiang Zhao, Jeffrey Xu Yu
DASFAA'07: The 12th International Conference on Database Systems for Advanced Applications. Bangkok, Thailand. Jun. 2007
[Paper] -
Fast Frequent Free Tree Mining in Graph Databases
Peixiang Zhao, Jeffrey Xu Yu
ICDM'06: The 6th IEEE International Conference on Data Mining. Hong Kong, China. Dec. 2006. (workshop)
[Paper|Slides] -
Finding Hidden Semantics behind Reference Linkages: an Ontological Approach for Scientific Digital Libraries
Peixiang Zhao, Ming Zhang, Dongqing Yang, Shiwei Tang
DASFAA'05: The 10th International Conference on Database Systems for Advanced Applications. Beijing, China. Apr. 2005
[Paper]
Copyright
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Patents
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Location-Aware Search Ranking
Klaus L. Berberich, Arnd C. Konig, Peixiang Zhao, Dimitrios Lymberopoulos, Jie Liu
US patent filed as MS DOCKET 332725.01 by Microsoft Research (Jun. 2011) -
Query Optimization over Graph Data Streams
Peixiang Zhao, Charu Aggarwal, Min Wang
US patent filed as Docket YOR920080706US1 by IBM Research (July 2009)
Professional Service
Conference Organizer
- Exhibit co-chair: ACM SIGMOD International Conference on Management of Data (SIGMOD): 2014
Conference TPC Member
- The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2022 - 2016
- The ACM Conference of Information and Knowledge Management (CIKM): 2024 - 2017, 2013
- The IEEE International Conference on Data Engineering (ICDE): 2020 - 2019, 2013
- The IEEE International Conference on Data Mining (ICDM): 2024 - 2018, 2016, 2014 (PhD forum)
- The SIAM International Conference on Data Mining (SDM): 2022
- The International Conference on Extending Database Technology (EDBT): 2023
- The International Conference on Database Systems for Advanced Applications (DASFAA): 2019, 2014
- The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD): 2019 - 2013
- The International Conference on Web Information Systems Engerinnering (WISE): 2019
- The Asia Pacific Web Conference (APWEB): 2014, 2008
- The High Performance Graph Data Management and Processing Workshop (HPGDMP), in conjunction with SC Conference: 2016
- The International Workshop on Graph Data Management: Techniques and Applications (GDM), in conjunction with IEEE ICDE Conference: 2014 - 2011
- The International Workshop on Data-Intensive Scalable Computing Systems (DISCS), in conjunction with ACM SC Conference: 2015
Journal Editor
- Information Systems. Area editor (2018 - )
Journal Reviewer
- ACM Transactions on Database Systems (TODS)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- The VLDB Journal (VLDBJ)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- IEEE Transactions on Knowledge on Big Data (TBD)
- Journal of Information Systems (JIS)
- Journal of Intelligent Information Systems (JIIS)
- Journal of Data Mining and Knowledge Discovery (DAMI)
- International Journal of Knowledge and Information Systems (KAIS)
- Journal of Distributed and Parallel Databases (DPD)
- Journal of Information Processing Letters (IPL)