Chen Xu

Affiliations:
  • East China Normal University, Shanghai, China
  • TU Berlin, Institute of Software Engineering and Theoretical Computer Science, Germany (former)


According to our database1, Chen Xu authored at least 27 papers between 2010 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Elastic Averaging for Efficient Pipelined DNN Training.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

2022
ReMac: A Matrix Computation System with Redundancy Elimination.
Proc. VLDB Endow., 2022

Redundancy Elimination in Distributed Matrix Computation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Efficient Matrix Computation for SGD-Based Algorithms on Apache Spark.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
HyMAC: A Hybrid Matrix Computation System.
Proc. VLDB Endow., 2021

Hybrid Evaluation for Distributed Iterative Matrix Computation.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Loupe: A Visualization Tool for High-Level Execution Plans in SystemDS.
Proceedings of the Database Systems for Advanced Applications, 2021

Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hybrid Checkpointing for Iterative Processing in BSP-Based Systems.
Proceedings of the Web Information Systems and Applications, 2021

2020
Euge: Effective Utilization of GPU Resources for Serving DNN-Based Video Analysis.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Optimizing model parameter for entity summarization across knowledge graphs.
J. Comb. Optim., 2019

EnAli: entity alignment across multiple heterogeneous data sources.
Frontiers Comput. Sci., 2019

2018
Fault-Tolerance for Distributed Iterative Dataflows in Action.
Proc. VLDB Endow., 2018

2017
On Fault Tolerance for Distributed Iterative Dataflow Processing.
IEEE Trans. Knowl. Data Eng., 2017

2016
Efficient fault-tolerance for iterative graph processing on distributed dataflow systems.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Entity Matching Across Multiple Heterogeneous Data Sources.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Quality-aware Scheduling for Key-value Data Stores
Springer Briefs in Computer Science, Springer, ISBN: 978-3-662-47306-1, 2015

Optimistic Recovery for Iterative Dataflows in Action.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
Quality-aware schedulers for weak consistency key-value data stores.
Distributed Parallel Databases, 2014

Common Neighbor Query-Friendly Triangulation-Based Large-Scale Graph Compression.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

AQUAS: A quality-aware scheduler for NoSQL data stores.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Detecting User Preference on Microblog.
Proceedings of the Database Systems for Advanced Applications, 2013

Adaptive Query Scheduling in Key-Value Data Stores.
Proceedings of the Database Systems for Advanced Applications, 2013

Workload-Aware Cache for Social Media Data.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Finding the silver lining for data freshness on the cloud: [extended abstract].
Proceedings of the Fourth International Workshop on Cloud Data Management, 2012

2011
Optimized Data Placement for Column-Oriented Data Store in the Distributed Environment.
Proceedings of the Database Systems for Adanced Applications, 2011

2010
Materialized view maintenance in columnar storage for massive data analysis.
Proceedings of the 4th International Universal Communication Symposium, 2010


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