Materialized view maintenance in columnar storage for massive data analysis. - Chen Xu 001; Minqi Zhou; Weining Qian (IUCS, 2010)

Optimized Data Placement for Column-Oriented Data Store in the Distributed Environment. - Minqi Zhou; Chen Xu 001 (DASFAA Workshops, 2011)

Finding the silver lining for data freshness on the cloud: [extended abstract]. - Mohamed A. Sharaf; Chen Xu 001; Xiaofang Zhou 001 (CloudDB@CIKM, 2012)

Workload-Aware Cache for Social Media Data. - Jinxian Wei; Fan Xia; Chaofeng Sha; Chen Xu 001; Xiaofeng He; Aoying Zhou (APWeb, 2013)

Adaptive Query Scheduling in Key-Value Data Stores. - Chen Xu 001; Mohamed A. Sharaf; Minqi Zhou; Aoying Zhou; Xiaofang Zhou 001 (DASFAA (1), 2013)

Detecting User Preference on Microblog. - Chen Xu 001; Minqi Zhou; Feng Chen; Aoying Zhou (DASFAA (2), 2013)

AQUAS: A quality-aware scheduler for NoSQL data stores. - Chen Xu 001; Fan Xia; Mohamed A. Sharaf; Minqi Zhou; Aoying Zhou (ICDE, 2014)

Common Neighbor Query-Friendly Triangulation-Based Large-Scale Graph Compression. - Liang Zhang; Chen Xu 001; Weining Qian; Aoying Zhou (WISE (1), 2014)

Quality-aware schedulers for weak consistency key-value data stores. - Chen Xu 001; Mohamed A. Sharaf; Xiaofang Zhou 001; Aoying Zhou (Distributed Parallel Databases, 2014)

Optimistic Recovery for Iterative Dataflows in Action. - Sergey Dudoladov; Chen Xu 001; Sebastian Schelter; Asterios Katsifodimos; Stephan Ewen; Kostas Tzoumas; Volker Markl (SIGMOD Conference, 2015)

Quality-aware Scheduling for Key-value Data Stores - Chen Xu 001; Aoying Zhou (Springer, 2015)

Entity Matching Across Multiple Heterogeneous Data Sources. - Chao Kong; Ming Gao 001; Chen Xu 001; Weining Qian; Aoying Zhou (DASFAA (1), 2016)

Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. - Chen Xu 001; Markus Holzemer; Manohar Kaul; Volker Markl (ICDE, 2016)

On Fault Tolerance for Distributed Iterative Dataflow Processing. - Chen Xu 001; Markus Holzemer; Manohar Kaul; Juan Soto 001; Volker Markl (IEEE Trans. Knowl. Data Eng., 2017)

Fault-Tolerance for Distributed Iterative Dataflows in Action. - Chen Xu 001; Rudi Poepsel Lemaitre; Juan Soto 001; Volker Markl (Proc. VLDB Endow., 2018)

EnAli: entity alignment across multiple heterogeneous data sources. - Chao Kong; Ming Gao 001; Chen Xu 001; Yunbin Fu; Weining Qian; Aoying Zhou (Frontiers Comput. Sci., 2019)

Optimizing model parameter for entity summarization across knowledge graphs. - Jihong Yan; Chen Xu 001; Na Li; Ming Gao 001; Aoying Zhou (J. Comb. Optim., 2019)

Euge: Effective Utilization of GPU Resources for Serving DNN-Based Video Analysis. - Qihang Chen; Guangyao Ding; Chen Xu 001; Weining Qian; Aoying Zhou (APWeb/WAIM (2), 2020)

Hybrid Checkpointing for Iterative Processing in BSP-Based Systems. - Yi Yang; Chen Xu 001; Chao Kong; Aoying Zhou (WISA, 2021)

Beamer: An End-to-End Deep Learning Framework for Unifying Data Cleaning in DNN Model Training and Inference. - Nifei Bi; Xiansen Chen; Chen Xu 001; Aoying Zhou (CIKM, 2021)

Loupe: A Visualization Tool for High-Level Execution Plans in SystemDS. - Zhizhen Xu; Zihao Chen; Chen Xu 001 (DASFAA (3), 2021)

Hybrid Evaluation for Distributed Iterative Matrix Computation. - Zihao Chen; Chen Xu 001; Juan Soto 001; Volker Markl; Weining Qian; Aoying Zhou (SIGMOD Conference, 2021)

HyMAC: A Hybrid Matrix Computation System. - Zihao Chen; Zhizhen Xu; Chen Xu 001; Juan Soto 001; Volker Markl; Weining Qian; Aoying Zhou (Proc. VLDB Endow., 2021)

Efficient Matrix Computation for SGD-Based Algorithms on Apache Spark. - Baokun Han; Zihao Chen; Chen Xu 001; Aoying Zhou (DASFAA (1), 2022)

Redundancy Elimination in Distributed Matrix Computation. - Zihao Chen; Baokun Han; Chen Xu 001; Weining Qian; Aoying Zhou (SIGMOD Conference, 2022)

ReMac: A Matrix Computation System with Redundancy Elimination. - Zihao Chen; Zhizhen Xu; Baokun Han; Chen Xu 001; Weining Qian; Aoying Zhou (Proc. VLDB Endow., 2022)

Elastic Averaging for Efficient Pipelined DNN Training. - Zihao Chen; Chen Xu 001; Weining Qian; Aoying Zhou (PPoPP, 2023)

Hybrid Evaluation for Occlusion-based Explanations on CNN Inference Queries. - Guangyao Ding; Chen Xu 001; Weining Qian (ICDE, 2024)

IMBridge: Impedance Mismatch Mitigation between Database Engine and Prediction Query Execution. - Chenyang Zhang; Junxiong Peng; Chen Xu 001; Quanqing Xu; Chuanhui Yang (SIGMOD Conference Companion, 2024)

Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion. - Qingfeng Pan; Jiahe Zhi; Chenyang Zhang; Chen Xu 001; Zhao Zhang 009; Anita Shao; Guanglei Bao; Qiu Cui; Xiaowei Chen; Aoying Zhou (ICDE, 2025)

Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework. - Kaustubh Beedkar; Aurélien Bertrand; Haralampos Gavriilidis; Augusto José Fonseca; Zoi Kaoudi; Mingxi Liu; Volker Markl; Juri Petersen; Fábio Porto 001; Víctor Ribeiro; Mads Sejer Pedersen; Lucas Giusti Tavares; et al. (SIGMOD Conference Companion, 2025)

Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models. - Zihao Chen; Chenyang Zhang; Chen Xu 001; Zhao Zhang 009; Jiaqiang Wang; Weining Qian; Aoying Zhou (SIGMOD Conference Companion, 2025)

Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine. - Chenyang Zhang; Junxiong Peng; Chen Xu 001; Quanqing Xu; Chuanhui Yang (Proc. ACM Manag. Data, 2025)