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ORCIDYongluan Zhou
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- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2024
[c68]Rodrigo Laigner, Yongluan Zhou:
Benchmarking Data Management Systems for Microservices. ICDE 2024: 5671-5672- [c67]Yibin Xu, Jingyi Zheng, Boris Düdder, Tijs Slaats, Yongluan Zhou:
A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance. NDSS 2024 - [c66]Christian Lülf
, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. SIGIR 2024: 2719-2723 - [i14]Rodrigo Laigner, Zhexiang Zhang, Yijian Liu, Leonardo Freitas Gomes, Yongluan Zhou:
A Benchmark for Data Management Challenges in Microservices. CoRR abs/2403.12605 (2024) - [i13]Rodrigo Laigner, Yongluan Zhou:
Benchmarking Data Management Systems for Microservices. CoRR abs/2405.11529 (2024) - [i12]Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. CoRR abs/2406.13322 (2024) - [i11]Rodrigo Laigner, Ana Carolina Almeida, Wesley K. G. Assunção, Yongluan Zhou:
An Empirical Study on Challenges of Event Management in Microservice Architectures. CoRR abs/2408.00440 (2024) - [i10]Yibin Xu, Jingyi Zheng, Boris Düdder, Tijs Slaats, Yongluan Zhou:
A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance. IACR Cryptol. ePrint Arch. 2024: 304 (2024) - 2023
- [j17]Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. Proc. VLDB Endow. 16(11): 2845-2857 (2023) - [c65]João Esteves, Rosa Maria Costa, Yongluan Zhou, Ana Almeida:
An exploratory analysis of methods for real-time data deduplication in streaming processes. DEBS 2023: 91-102 - [c64]Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. SIGSPATIAL/GIS 2023: 58:1-58:4 - [i9]Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. CoRR abs/2306.02670 (2023) - [i8]Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. CoRR abs/2309.15617 (2023) - [i7]Yibin Xu, Jingyi Zheng, Boris Düdder, Tijs Slaats, Yongluan Zhou:
A Two-Layer Blockchain Sharding Protocol Leveraging Safety and Liveness for Enhanced Performance. CoRR abs/2310.11373 (2023) - [i6]Yunhong Ji, Xuan Zhou, Yongluan Zhou, Ke Wang:
The Case of Transparent Cache Invalidation in Web Applications. CoRR abs/2311.02384 (2023) - 2022
- [c63]Tilman Zuckmantel, Yongluan Zhou, Boris Düdder, Thomas T. Hildebrandt:
Event-based data-centric semantics for consistent data management in microservices. DEBS 2022: 97-102 - [c62]Yijian Liu, Li Su, Vivek Shah, Yongluan Zhou, Marcos Antonio Vaz Salles:
Hybrid Deterministic and Nondeterministic Execution of Transactions in Actor Systems. SIGMOD Conference 2022: 65-78 - [e3]Yongluan Zhou, Panos K. Chrysanthis, Vincenzo Gulisano, Eleni Tzirita Zacharatou:
16th ACM International Conference on Distributed and Event-based Systems, DEBS 2022, Copenhagen, Denmark, June 27 - 30, 2022. ACM 2022, ISBN 978-1-4503-9308-9 [contents] - [e2]Elaheh Pourabbas, Yongluan Zhou, Yuchen Li, Bin Yang:
SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6 - 8, 2022. ACM 2022, ISBN 978-1-4503-9667-7 [contents] - 2021
- [j16]Rodrigo N. Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski:
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. Proc. VLDB Endow. 14(13): 3348-3361 (2021) - [c61]Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles:
A distributed database system for event-based microservices. DEBS 2021: 25-30 - [c60]Li Su, Yongluan Zhou:
Fast recovery of correlated failures in distributed stream processing engines. DEBS 2021: 66-77 - [c59]Prangshuman Das, Rodrigo Laigner, Yongluan Zhou:
HawkEDA: a tool for quantifying data integrity violations in event-driven microservices. DEBS 2021: 176-179 - [c58]Anna Lesniak, Rodrigo Laigner, Yongluan Zhou:
Enforcing consistency in microservice architectures through event-based constraints. DEBS 2021: 180-183 - [i5]Rodrigo Laigner, Yongluan Zhou, Marcos Antonio Vaz Salles, Yijian Liu, Marcos Kalinowski:
Data Management in Microservices: State of the Practice, Challenges, and Research Directions. CoRR abs/2103.00170 (2021) - 2020
- [j15]Wang Zhou, Yongluan Zhou, Jianping Li, Muhammad Hammad Memon:
LsRec: Large-scale social recommendation with online update. Expert Syst. Appl. 162: 113739 (2020) - [j14]Angela Bonifati, Giovanna Guerrini, Carsten Lutz, Wim Martens, Lara Mazilu, Norman W. Paton, Marcos Antonio Vaz Salles, Marc H. Scholl, Yongluan Zhou:
Holding a Conference Online and Live due to Covid-19: Experiences and Lessons Learned from EDBT / ICDT 2020. SIGMOD Rec. 49(4): 28-32 (2020) - [c57]Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li:
ByteSeries: an in-memory time series database for large-scale monitoring systems. SoCC 2020: 60-73 - [c56]Rodrigo Laigner, Marcos Kalinowski, Pedro Diniz, Leonardo Barros, Carlos Cassino, Melissa Lemos, Darlan Arruda, Sérgio Lifschitz, Yongluan Zhou:
From a Monolithic Big Data System to a Microservices Event-Driven Architecture. SEAA 2020: 213-220 - [c55]Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou:
Maxson: Reduce Duplicate Parsing Overhead on Raw Data. ICDE 2020: 1621-1632 - [e1]Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang:
Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. OpenProceedings.org 2020, ISBN 978-3-89318-083-7 [contents] - [i4]Angela Bonifati, Giovanna Guerrini, Carsten Lutz, Wim Martens, Lara Mazilu, Norman W. Paton, Marcos Antonio Vaz Salles, Marc H. Scholl, Yongluan Zhou:
Holding a Conference Online and Live due to COVID-19. CoRR abs/2004.07668 (2020)
2010 – 2019
- 2019
- [j13]Wang Zhou, Jianping Li, Yongluan Zhou, Muhammad Hammad Memon:
Bayesian pairwise learning to rank via one-class collaborative filtering. Neurocomputing 367: 176-187 (2019) - [j12]Li Su, Yongluan Zhou:
Passive and Partially Active Fault Tolerance for Massively Parallel Stream Processing Engines. IEEE Trans. Knowl. Data Eng. 31(1): 32-45 (2019) - [j11]Hai Jin, Fei Chen, Song Wu, Yin Yao, Zhiyi Liu, Lin Gu, Yongluan Zhou:
Towards Low-Latency Batched Stream Processing by Pre-Scheduling. IEEE Trans. Parallel Distributed Syst. 30(3): 710-722 (2019) - [c54]Kaiji Chen, Yongluan Zhou:
Location-Centric View Selection in a Location-Based Feed-Following System. DEBS 2019: 67-78 - [c53]Yiwen Wang, Júlio Cesar dos Reis, Kasper Myrtue Borggren, Marcos Antonio Vaz Salles, Claudia Bauzer Medeiros, Yongluan Zhou:
Modeling and Building IoT Data Platforms with Actor-Oriented Databases. EDBT 2019: 512-523 - 2018
- [j10]Xuanhua Shi, Zhigao Zheng, Yongluan Zhou, Hai Jin, Ligang He, Bo Liu, Qiang-Sheng Hua:
Graph Processing on GPUs: A Survey. ACM Comput. Surv. 50(6): 81:1-81:35 (2018) - [j9]Xuanhua Shi, Zhixiang Ke, Yongluan Zhou, Hai Jin, Lu Lu, Xiong Zhang, Ligang He, Zhenyu Hu, Fei Wang:
Deca: A Garbage Collection Optimizer for In-Memory Data Processing. ACM Trans. Comput. Syst. 36(1): 3:1-3:47 (2018) - [c52]Li Su, Yongluan Zhou:
Query-Centric Failure Recovery for Distributed Stream Processing Engines. ICDE 2018: 1276-1279 - 2017
- [c51]Fei Chen, Song Wu, Hai Jin, Yin Yao, Zhiyi Liu, Lin Gu, Yongluan Zhou:
Lever: towards low-latency batched stream processing by pre-scheduling. SoCC 2017: 643 - [c50]Qingsong Guo, Yongluan Zhou:
CBP: A New Parallelization Paradigm for Massively Distributed Stream Processing. DASFAA (2) 2017: 304-320 - [c49]Li Su, Yongluan Zhou:
Progressive Recovery of Correlated Failures in Distributed Stream Processing Engines. EDBT 2017: 518-521 - [c48]Qingsong Guo, Yongluan Zhou:
Stateful Load Balancing for Parallel Stream Processing. Euro-Par Workshops 2017: 80-93 - [c47]Kasper Grud Skat Madsen, Yongluan Zhou, Jianneng Cao:
Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine. ICDE 2017: 227-230 - [c46]Buwen Wu, Yongluan Zhou, Hai Jin, Amol Deshpande:
Parallel SPARQL Query Optimization. ICDE 2017: 547-558 - 2016
- [j8]Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng:
Lifetime-Based Memory Management for Distributed Data Processing Systems. Proc. VLDB Endow. 9(12): 936-947 (2016) - [c45]Kaiji Chen, Yongluan Zhou:
Materialized view selection in feed following systems. IEEE BigData 2016: 442-451 - [c44]Kasper Grud Skat Madsen, Yongluan Zhou, Li Su:
Enorm: efficient window-based computation in large-scale distributed stream processing systems. DEBS 2016: 37-48 - [c43]Li Su, Yongluan Zhou:
Tolerating correlated failures in Massively Parallel Stream Processing Engines. ICDE 2016: 517-528 - [i3]Lu Lu, Xuanhua Shi, Yongluan Zhou, Xiong Zhang, Hai Jin, Cheng Pei, Ligang He, Yuanzhen Geng:
Lifetime-Based Memory Management for Distributed Data Processing Systems. CoRR abs/1602.01959 (2016) - [i2]Kasper Grud Skat Madsen, Yongluan Zhou, Jianneng Cao:
Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine. CoRR abs/1602.03770 (2016) - 2015
- [j7]Chunyang Ma, Yongluan Zhou, Lidan Shou, Gang Chen:
PROM: Efficient matching query processing on high-dimensional data. Inf. Sci. 322: 1-19 (2015) - [c42]Ahmed Khan Leghari, Jianneng Cao, Yongluan Zhou:
Feedback Based Continuous Skyline Queries Over a Distributed Framework. ADBIS 2015: 287-301 - [c41]Ahmed Khan Leghari, Jianneng Cao, Yongluan Zhou:
Distributed Sequence Pattern Detection Over Multiple Data Streams. ADBIS 2015: 380-394 - [c40]Kasper Grud Skat Madsen, Yongluan Zhou:
Dynamic Resource Management In a Massively Parallel Stream Processing Engine. CIKM 2015: 13-22 - [c39]Jianneng Cao, Yongluan Zhou, Min Wu:
Adaptive Grid-Based k-median Clustering of Streaming Data with Accuracy Guarantee. DASFAA (1) 2015: 75-91 - [c38]Yongluan Zhou, Lidan Shou, Xuan Shang, Ke Chen:
Dissemination of anonymized streaming data. DEBS 2015: 104-115 - [c37]Kaiji Chen, Yongluan Zhou, Yu Cao:
Online Data Partitioning in Distributed Database Systems. EDBT 2015: 1-12 - [c36]Kasper Grud Skat Madsen, Yongluan Zhou:
Dynamic resource management in a MapReduce-style platform for fast data processing. ICDE Workshops 2015: 10-13 - [c35]Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Ling Liu, Hai Jin:
Scalable SPARQL querying using path partitioning. ICDE 2015: 795-806 - [i1]Li Su, Yongluan Zhou:
Passive and Partially Active Fault Tolerance for Massively Parallel Stream Processing Engines. CoRR abs/1508.04907 (2015) - 2014
- [c34]Ahmed Khan Leghari, Martin Wolf, Yongluan Zhou:
Efficient Pattern Detection Over a Distributed Framework. BIRTE 2014: 133-149 - [c33]Buwen Wu, Yongluan Zhou, Pingpeng Yuan, Hai Jin, Ling Liu:
SemStore: A Semantic-Preserving Distributed RDF Triple Store. CIKM 2014: 509-518 - [c32]Kasper Mullesgaard, Jens Laurits Pederseny, Hua Lu, Yongluan Zhou:
Efficient Skyline Computation in MapReduce. EDBT 2014: 37-48 - [c31]Yongluan Zhou, Chunyang Ma, Qingsong Guo, Lidan Shou, Gang Chen:
Sequence Pattern Matching over Time-Series Data with Temporal Uncertainty. EDBT 2014: 205-216 - [c30]Kaiji Chen, Yongluan Zhou, Yu Cao:
Scheduling online repartitioning in OLTP systems. Middleware (Industry Track) 2014: 4:1-4:6 - [c29]Kasper Grud Skat Madsen, Philip Thyssen, Yongluan Zhou:
Integrating fault-tolerance and elasticity in a distributed data stream processing system. SSDBM 2014: 48:1-48:4 - 2013
- [j6]Hua Lu, Yongluan Zhou, Jonas Haustad:
Efficient and scalable continuous skyline monitoring in two-tier streaming settings. Inf. Syst. 38(1): 68-81 (2013) - [c28]Kasper Grud Skat Madsen, Li Su, Yongluan Zhou:
Grand challenge: MapReduce-style processing of fast sensor data. DEBS 2013: 313-318 - [c27]Kasper Grud Skat Madsen, Yongluan Zhou:
Demo: elastic mapreduce-style processing of fast data. DEBS 2013: 335-336 - [c26]Qingsong Guo, Yongluan Zhou, Li Su:
Multi-scale dissemination of time series data. SSDBM 2013: 14:1-14:12 - [c25]Yongluan Zhou, Ji Wu, Ahmed Khan Leghari:
Multi-query scheduling for time-critical data stream applications. SSDBM 2013: 15:1-15:12 - 2012
- [c24]Boliang Feng, Jiaheng Lu, Yongluan Zhou, Nan Yang:
Energy Efficiency for MapReduce Workloads: An In-depth Study. ADC 2012: 61-70 - [c23]Yu Cao, Yongluan Zhou, Chee-Yong Chan, Kian-Lee Tan:
On optimizing relational self-joins. EDBT 2012: 120-131 - 2011
- [j5]Yongluan Zhou, Zografoula Vagena, Jonas Haustad:
Dissemination of Models over Time-Varying Data. Proc. VLDB Endow. 4(11): 864-875 (2011) - [c22]Chunyang Ma, Yongluan Zhou, Lidan Shou, Dan Dai, Gang Chen:
Matching query processing in high-dimensional space. CIKM 2011: 1589-1594 - 2010
- [c21]Hui Cao, Yongluan Zhou, Lidan Shou, Gang Chen:
Attribute Outlier Detection over Data Streams. DASFAA (2) 2010: 216-230 - [c20]Hua Lu, Yongluan Zhou, Jonas Haustad:
Continuous Skyline Monitoring over Distributed Data Streams. SSDBM 2010: 565-583
2000 – 2009
- 2009
- [j4]Ji Wu, Kian-Lee Tan, Yongluan Zhou:
Data-driven memory management for stream join. Inf. Syst. 34(4-5): 454-467 (2009) - [j3]Yongluan Zhou, Ali Salehi, Karl Aberer:
Scalable Delivery of Stream Query Results. Proc. VLDB Endow. 2(1): 49-60 (2009) - [c19]Dengcheng He, Yongluan Zhou, Lidan Shou, Gang Chen:
Cluster based rank query over multidimensional data streams. CIKM 2009: 1493-1496 - [c18]Shili Xiang, Yongluan Zhou, Hock-Beng Lim, Kian-Lee Tan:
Query Allocation in Wireless Sensor Networks with Multiple Base Stations. DASFAA 2009: 107-122 - [c17]Ji Wu, Kian-Lee Tan, Yongluan Zhou:
QoS-Oriented Multi-query Scheduling over Data Streams. DASFAA 2009: 215-229 - [c16]Ji Wu, Yongluan Zhou, Karl Aberer, Kian-Lee Tan:
Towards integrated and efficient scientific sensor data processing: a database approach. EDBT 2009: 922-933 - [c15]Sebastian Michel, Ali Salehi, Liqian Luo, Nicholas Dawes, Karl Aberer, Guillermo Barrenetxea, Mathias Bavay, Aman Kansal, K. Ashwin Kumar, Suman Nath, Marc Parlange, Stewart Tansley, Catharine van Ingen, Feng Zhao, Yongluan Zhou:
Environmental Monitoring 2.0. ICDE 2009: 1507-1510 - 2008
- [j2]Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan:
Disseminating streaming data in a dynamic environment: an adaptive and cost-based approach. VLDB J. 17(6): 1465-1483 (2008) - [c14]Yongluan Zhou, Karl Aberer, Ali Salehi, Kian-Lee Tan:
Rethinking the design of distributed stream processing systems. ICDE Workshops 2008: 182-187 - [c13]Bin Cui, Hua Lu, Quanqing Xu, Lijiang Chen, Yafei Dai, Yongluan Zhou:
Parallel Distributed Processing of Constrained Skyline Queries by Filtering. ICDE 2008: 546-555 - [c12]Yongluan Zhou, Karl Aberer, Kian-Lee Tan:
Toward Massive Query Optimization in Large-Scale Distributed Stream Systems. Middleware 2008: 326-345 - 2007
- [c11]Shili Xiang, Hock-Beng Lim, Kian-Lee Tan, Yongluan Zhou:
Similarity-aware query allocation in sensor networks with multiple base stations. DMSN 2007: 1-6 - [c10]Shili Xiang, Hock-Beng Lim, Kian-Lee Tan, Yongluan Zhou:
Two-Tier Multiple Query Optimization for Sensor Networks. ICDCS 2007: 39 - [c9]Ji Wu, Kian-Lee Tan, Yongluan Zhou:
Window-Oblivious Join: A Data-Driven Memory Management Scheme for Stream Join. SSDBM 2007: 21 - 2006
- [c8]Yongluan Zhou, Kian-Lee Tan, Feng Yu:
Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing. BIRTE 2006: 20-33 - [c7]Yongluan Zhou, Ying Yan, Feng Yu, Aoying Zhou:
PMJoin: Optimizing Distributed Multi-way Stream Joins by Stream Partitioning. DASFAA 2006: 325-341 - [c6]Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Feng Yu:
Adaptive Reorganization of Coherency-Preserving Dissemination Tree for Streaming Data. ICDE 2006: 55 - [c5]Yongluan Zhou:
Scalable and Adaptable Distributed Stream Processing. ICDE Workshops 2006: 148 - [c4]Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Ji Wu:
Efficient Dynamic Operator Placement in a Locally Distributed Continuous Query System. OTM Conferences (1) 2006: 54-71 - 2005
- [j1]Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Wee Hyong Tok:
An adaptable distributed query processing architecture. Data Knowl. Eng. 53(3): 283-309 (2005) - [c3]Yongluan Zhou, Ying Yan, Beng Chin Ooi, Kian-Lee Tan, Aoying Zhou:
Optimizing continuous multijoin queries over distributed streams. CIKM 2005: 221-222 - [c2]Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan:
Dynamic Load Management for Distributed Continuous Query Systems. ICDE 2005: 322-323 - 2003
- [c1]Yongluan Zhou:
Adaptive Distributed Query Processing. VLDB PhD Workshop 2003
Coauthor Index
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