Doris Xin

32 papers A* 2A 3B 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2022 — ed.
DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, PA, USA, 12 June 2022
DEEM@SIGMOD
Matthias Boehm, Paroma Varma, Doris Xin
2022 — conf
DEEM'22: Data Management for End-to-End Machine Learning.
SIGMOD Conference
Matthias Boehm, Paroma Varma, Doris Xin
2021 J jnl
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.
CoRR
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2021 J jnl
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.
IEEE Data Eng. Bull.
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2021 J jnl
Fine-Grained Lineage for Safer Notebook Interactions.
Proc. VLDB Endow.
Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
2021 — conf
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities.
SIGMOD Conference
Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
2021 J jnl
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities.
CoRR
Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
2021 — —
Usable and Efficient Systems for Machine Learning.
Doris Xin
2021 A* conf
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows.
CHI
Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
2021 J jnl
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows.
CoRR
Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
2020 J jnl
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development.
CoRR
Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran
2020 A conf
Extending Relational Query Processing with ML Inference.
CIDR
Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
2020 J jnl
Fine-Grained Lineage for Safer Notebook Interactions.
CoRR
Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
2020 J jnl
Towards Scalable Dataframe Systems.
CoRR
Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2020 J jnl
Towards Scalable Dataframe Systems.
Proc. VLDB Endow.
Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2019 J jnl
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead.
IEEE Data Eng. Bull.
Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran
2019 J jnl
Extending Relational Query Processing with ML Inference.
CoRR
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
2018 — conf
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities.
DEEM@SIGMOD
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018 J jnl
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities.
CoRR
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018 A* conf
Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach.
ICDM
Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han
2018 J jnl
Helix: Accelerating Human-in-the-loop Machine Learning.
CoRR
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018 J jnl
Helix: Accelerating Human-in-the-loop Machine Learning.
Proc. VLDB Endow.
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018 J jnl
Helix: Holistic Optimization for Accelerating Iterative Machine Learning.
CoRR
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018 J jnl
Helix: Holistic Optimization for Accelerating Iterative Machine Learning.
Proc. VLDB Endow.
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018 J jnl
How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature.
CoRR
Doris Xin, Litian Ma, Shuchen Song, Aditya G. Parameswaran
2017 A conf
Folding: Why Good Models Sometimes Make Spurious Recommendations.
RecSys
Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson
2016 J jnl
MLlib: Machine Learning in Apache Spark.
J. Mach. Learn. Res.
Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
2015 J jnl
MLlib: Machine Learning in Apache Spark.
CoRR
Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan Randall Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar
2015 J jnl
Parallel computation using active self-assembly.
Nat. Comput.
Moya Chen, Doris Xin, Damien Woods
2014 A conf
LASER: a scalable response prediction platform for online advertising.
WSDM
Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang
2014 J jnl
Parallel computation using active self-assembly.
CoRR
Moya Chen, Doris Xin, Damien Woods
2013 B conf
Parallel Computation Using Active Self-assembly.
DNA
Moya Chen, Doris Xin, Damien Woods