Yi Lu

Affiliations:
  • MIT CSAIL, Cambridge, MA, USA
  • The Chinese University of Hong Kong, Hong Kong (former)


According to our database1, Yi Lu authored at least 16 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Epoch-based Commit and Replication in Distributed OLTP Databases.
Proc. VLDB Endow., 2021

2020
Aria: A Fast and Practical Deterministic OLTP Database.
Proc. VLDB Endow., 2020

FESIA: A Fast and SIMD-Efficient Set Intersection Approach on Modern CPUs.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Robust Data Partitioning.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

STAR: Scaling Transactions through Asymmetric Replication.
Proc. VLDB Endow., 2019

SCAR: Strong Consistency using Asynchronous Replication with Minimal Coordination.
CoRR, 2019

2017
AdaptDB: Adaptive Partitioning for Distributed Joins.
Proc. VLDB Endow., 2017

2016
A General-Purpose Query-Centric Framework for Querying Big Graphs.
Proc. VLDB Endow., 2016

Amoeba: A Shape changing Storage System for Big Data.
Proc. VLDB Endow., 2016

Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs.
CoRR, 2016

2015
Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation.
Proceedings of the 24th International Conference on World Wide Web, 2015

Core decomposition in large temporal graphs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Pregel Algorithms for Graph Connectivity Problems with Performance Guarantees.
Proc. VLDB Endow., 2014

Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs.
Proc. VLDB Endow., 2014

Path Problems in Temporal Graphs.
Proc. VLDB Endow., 2014

Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation.
Proc. VLDB Endow., 2014


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