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Publications 2015 2019

  • 11 Conference contribution
  • 8 Article
  • 2 Poster
  • 1 Other conference material
2019

Multi-model Databases: A New Journey to Handle the Variety of Data

Lu, J. & Holubová, I., Jun 2019, In : ACM Computing Surveys. 52, 3, 38 p., 55.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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UniBench: A Benchmark for Multi-Model Database Management Systems

Zhang, C., Lu, J., Xu, P. & Chen, Y., 2019, Performance Evaluation and Benchmarking for the Era of Artificial Intelligence: 10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27–31, 2018, Revised Selected Papers. Nambiar, R. & Poess, M. (eds.). Cham: Springer, p. 7-23 16 p. (Lecture Notes in Computer Science; vol. 11135).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2018

Crowd-Type: A Crowdsourcing-Based Tool for Type Completion in Knowledge Bases

Dong, Z., Tu, J., Fan, J., Lu, J., Du, X. & Ling, T. W., 2018, p. 17-21. 5 p.

Research output: Conference materialsOther conference materialResearchpeer-review

Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint

Xu, P. & Lu, J., 15 Aug 2018, CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management . New York, NY: ACM, p. 1563-1566 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Fusion OLAP: Fusing the Pros of MOLAP and ROLAP Together for In-memory OLAP

Zhang, Y., Wang, S., Lu, J. & Zhang, Y., 2018, (Accepted/In press) In : IEEE Transactions on Knowledge and Data Engineering.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Hierarchical Clustering of Complex Symbolic Data and Application for Emitter Identification

Xu, X., Lu, J. & Wang, W., Jul 2018, In : Journal of Computer Science and Technology. 33, 4, p. 807-822 16 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges

Lu, J., Holubová, I. & Cautis, B., 2018, CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management . New York, NY: ACM, p. 2301-2302 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Optimal algorithms for selecting top-k combinations of attributes: theory and applications

Lin, C., Lu, J., Wei, Z., Wang, J. & Xiao, X., Feb 2018, In : VLDB Journal. 27, 1, p. 27-52 26 p.

Research output: Contribution to journalArticleScientificpeer-review

File

UDBMS: Road to Unification for Multi-model Data Management

Lu, J., Liu, Z. H., Xu, P. & Zhang, C., Aug 2018, Advances in Conceptual Modeling : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings. Woo, C., Lu, J., Li, Z., Ling, T. W., Li, G. & Lee, M. L. (eds.). Cham: Springer, p. 285-294 10 p. (Lecture Notes in Computer Science ; vol. 11158).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Using Crowdsourcing for Fine-Grained Entity Type Completion in Knowledge Bases

Dong, Z., Fan, J., Lu, J., Du, X. & Ling, T. W., 2018, Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part II. Cai, Y., Ishikawa, Y. & Xu, J. (eds.). Cham: Springer International Publishing , p. 248-263 16 p. (Lecture Notes in Computer Science; vol. 10988).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2017

Distributed Algorithms on Exact Personalized PageRank

Guo, T., Cao, X., Cong, G., Lu, J. & Lin, X., 9 May 2017, SIGMOD '17: Proceedings of the 2017 ACM International Conference on Management of Data. New York: ACM, p. 479-494 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Location-sensitive Query Auto-completion

Lin, C., Wang, J. & Lu, J., 3 Apr 2017, p. 819-820. 2 p.

Research output: Conference materialsPosterResearchpeer-review

Open Access
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Multi-model Data Management: What's New and What's Next?

Lu, J. & Holubová, I., 2017, Proceeding of the 20th International Conference on extended Databases. p. 602-605 4 p. (Proceeding of the 20th International Conference on extended Databases).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
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ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs

Liu, Y., Zheng, B., He, X., Wei, Z., Xiao, X., Zhen, K. & Lu, J., 1 Sep 2017, In : Proceedings of the VLDB Endowment. 11, 1, p. 14-26

Research output: Contribution to journalArticleScientificpeer-review

Top-k String Auto-Completion with Synonyms

Xu, P. & Lu, J., 2017, Database Systems for Advanced Applications: 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Candan, S., Chen, L., Pedersen, T. B., Chang, L. & Hua, W. (eds.). Cham: Springer International Publishing AG, Vol. 2. p. 202-218 (Lecture Notes in Computer Science; vol. 10178).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Towards Benchmarking Multi-Model Databases

Lu, J., 2017.

Research output: Conference materialsPosterResearch

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Using hybrid algorithmic-crowdsourcing methods for academic knowledge acquisition

Dong, Z., Lu, J., Ling, T. W., Fan, J. & Chen, Y., Dec 2017, In : Cluster Computing. 20, 4, p. 3629-3641

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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2016

Crowd-PANDA: Using Crowdsourcing Method for Academic Knowledge Acquisition

Dong, Z., Lu, J. & Ling, T. W., 2016, Web-Age Information Management, Pt II. Cui, B., Zhang, N., Xu, J., Lian & Liu, D. (eds.). Springer, p. 531-533 3 p. (Lecture Notes in Computer Science; vol. 9659).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data

Xu, X., Lu, J. & Wang, W., 2016, Advances in Knowledge Discovery and Data Mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II . Khan, L., Bailey, J., Washio, T., Dobbie, G., Huang, J. Z. & Wang, R. (eds.). Cham: Springer International Publishing AG, p. 156-167 12 p. (Lecture Notes in Computer Science ; vol. 9652).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

PANDA: A Platform for Academic Knowledge Discovery and Acquisition

Dong, Z., Lu, J. & Ling, T. W., 2016, 2016 International Conference on Big Data and Smart Computing, BigComp 2016, Hong Kong, China, January 18-20, 2016. IEEE Computer Society, p. 10-17 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2015

Boosting the Quality of Approximate String Matching by Synonyms

Lu, J., Lin, C., Wang, W., Li, C. & Xiao, X., 2015, In : ACM Transactions on Database Systems. 40, 3, 42 p., 15.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Towards Maximum Independent Sets on Massive Graphs

Liu, Y., Lu, J., Yang, H., Xiao, X. & Wei, Z., 2015, In : Proceedings of the VLDB Endowment. 8, 13, p. 2122-2133 12 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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