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Lijie Xu
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Brief Biography
I'm currently a senior researcher in the Systems group, ETH Zürich, working with Prof. Gustavo Alonso and previously with Prof. Ce Zhang.My research interests focus on AI+Database and big data systems. Currently, I'm working on in-database machine learning, cross-database machine learning, big data frameworks, and stream processing.
Selected Publications
2024
- [arXiv 2024] Lijie Xu, Chulin Xie, Yiran Guo, Gustavo Alonso, Bo Li, Guoliang Li, Wei Wang, Wentao Wu, Ce Zhang. TablePuppet: A Generic Framework for Relational Federated Learning. arXiv 2024 [Paper][Code]
- [VLDB Journal 2024] Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang. Stochastic Gradient Descent without Full Data Shuffle: with Applications to In-Database Machine Learning and Deep Learning Systems. The VLDB Journal (2024) [Paper][Code for PyTorch] [Code for PostgreSQL]
2022
- [SIGMOD 2022] Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang. In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference 2022: 1286-1300. [Paper][Code]
- [ICSE SEIP 2022] Feng Zhu, Lijie Xu, Gang Ma, Shuping Ji, Jie Wang, Gang Wang, Hongyi Zhang, Kun Wan, Mingming Wang, Xingchao Zhang, Yuming Wang, Jingpin Li. An Empirical Study on Quality Issues of eBay's Big Data SQL Analytics Platform. ICSE (SEIP) 2022: 33-42 [Paper]
- [Science China Journal 2022] Hui Li, Shuping Ji, Hua Zhong, Wei Wang, Lijie Xu, Zhen Tang, Jun Wei, Tao Huang. LPW: An Efficient Data-Aware Cache Replacement Strategy for Apache Spark. SCIENCE CHINA Information Sciences, (2022) [Paper]
2021
- [ICDCS 2021] Shijian Li, Oren Mangoubi, Lijie Xu, and Tian Guo. Sync-switch: Hybrid parameter synchronization for distributed deep learning. ICDCS 2021: 528-538 [Paper][Code]
- [Journal of Software 2021] Yicheng Wang, Hongbin Zeng, Lijie Xu, Wei Wang, Jun Wei, Tao Huang. A Survey on JVM Optimization for Big Data Processing Frameworks. Journal of Software (in Chinese) [Paper]
2020
- [ICDCS 2020] Lijie Xu, Xingtong Ye, Kai Kang, Tian Guo, Wensheng Dou, Wei Wang, and Jun Wei. DistStream: An Order-Aware Distributed Framework for Online-Offline Stream Clustering Algorithms. ICDCS 2020: 842-852 [Paper]
- [ISSTA 2020] Hui Li, Dong Wang, Tianze Huang, Yu Gao, Wensheng Dou, Lijie Xu, Wei Wang, Jun Wei, Hua Zhong. Detecting Cache-Related Bugs in Spark Application. ISSTA 2020: 363-375 [Paper]
- [iThings 2020] Kai Kang, Lijie Xu, Wei Wang, Guoquan Wu, Jun Wei, Wei Shi, Jizhong Li. A Hierarchical Automata Based Approach for Anomaly Detection in Smart Home Devices. 2020 International Conferences on Internet of Things (iThings): 1-8 [Paper]
2019
- [VLDB 2019] Lijie Xu, Tian Guo, Wensheng Dou, Wei Wang, and Jun Wei. An Experimental Evaluation of Garbage Collectors on Big Data Applications. Proc. VLDB Endow. 12(5): 570-583 (2019) [Paper]
- [ICAC 2019] Shijian Li, Robert J. Walls, Lijie Xu, and Tian Guo. Speeding up Deep Learning with Transient Servers. ICAC 2019: 125-135 [Paper]
2018 or earlier
- [JSS Journal 2018] Lijie Xu, Wensheng Dou, Feng Zhu, Chushu Gao, Jie Liu, and Jun Wei. Characterizing and Diagnosing Out of Memory Errors in MapReduce Applications. The Journal of Systems and Software (JSS), 2018 [Paper]
- [JCC 2017] Yingying Zheng, Lijie Xu, Wei Wang, Wei Zhou, Ying Ding. A Reliability Benchmark for Big Data Systems on JointCloud. In the Eighth International Workshop on Joint Cloud Computing (JCC 2017) in conjunction with the 37th International Conference on Distributed Computing Systems (ICDCS 2017) [Paper]
- [ICSME 2016] Feng Zhu, Jie Liu, Sa Wang, Jiwei Xu, Lijie Xu, Jixin Ren, Dan Ye, Jun Wei, Tao Huang. Hug the Elephant: Migrating a Legacy Data Analytics Application to Hadoop Ecosystem. ICSME 2016: 177-187 [Paper]
- [ISSRE 2015] Lijie Xu, Wensheng Dou, Feng Zhu, Chushu Gao, Jie Liu, Hua Zhong, Jun Wei. Experience report: A Characteristic Study on Out of Memory Errors in Distributed Data-Parallel Applications. ISSRE 2015: 518-529 [Paper] [OOM cases]
- [ICAC 2013] Lijie Xu, Jie Liu, and Jun Wei. FMEM: A Fine-grained Memory Estimator for MapReduce Jobs. ICAC 2013: 65-68 [Paper]
Teaching
- Teaching Assistant — ETH Zürich, Data Modeling and Databases, Spring 2022
Talks
- SIGMOD 2022 — June, 2022 — In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. [Video]
Academic Services
- Program Committee Member, ICDCS 2021
- Reviewer of ACM Transactions on Computer Systems (TOCS)
- Reviewer of IEEE Transactions on Reliability
- Reviewer of Journal of Parallel and Distributed Computing (JPDC) - Elsevier