• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 41 matches

• 2024
• 
  Xiaomin Ouyang, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Sitong Cheng, Xinyan Wang, Shihua Cao, Jiang Xin, Hazel Mok, Zhenyu Yan, Doris Sau-Fung Yu, Timothy Kwok, Guoliang Xing:
  ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. MobiCom 2024: 404-419
• 
  Yang Li, Doris Sau-Fung Yu, Shuangzhou Chen, Guoliang Xing, Hongkai Chen:
  Demo: EmoMarker: A Privacy-Preserving, Multi-Modal Sensing System for Dyadic Digital Biomarkers of Expressed Emotions for Patients with Dementia. MobiSys 2024: 614-615
• 
  Yuting He, Xinyan Wang, Mu Yuan, Di Duan, Doris Sau-Fung Yu, Guoliang Xing, Hongkai Chen:
  Demo: Myotrainer: Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training. SenSys 2024: 838-839
• 2023
• 
  Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang:
  WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR abs/2309.12768 (2023)
• 
  Xiaomin Ouyang, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Xinyan Wang, Shihua Cao, Jiang Xin, Hazel Mok, Zhenyu Yan, Doris Sau-Fung Yu, Timothy Kwok, Guoliang Xing:
  ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. CoRR abs/2310.15301 (2023)
• 2022
• 
  Matthias Boehm, Paroma Varma, Doris Xin:
  DEEM'22: Data Management for End-to-End Machine Learning. SIGMOD Conference 2022: 2548-2549
• 
  Matthias Boehm, Paroma Varma, Doris Xin:
  DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, PA, USA, 12 June 2022. ACM 2022, ISBN 978-1-4503-9375-1 [contents]
• 2021
• 
  Doris Xin:
  Usable and Efficient Systems for Machine Learning. University of California, Berkeley, USA, 2021
• 
  Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
  Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. 44(1): 66-78 (2021)
• 
  Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head:
  Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. 14(6): 1093-1101 (2021)
• 
  Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran:
  Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CHI 2021: 83:1-83:16
• 
  Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
  Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. SIGMOD Conference 2021: 2639-2652
• 
  Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran:
  Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CoRR abs/2101.04834 (2021)
• 
  Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran:
  Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR abs/2103.02145 (2021)
• 
  Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis:
  Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. CoRR abs/2103.16007 (2021)
• 2020
• 
  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:
  Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13(11): 2033-2046 (2020)
• 
  Song Wu, Like Zhou, Xingjun Wang, Fei Chen, Hai Jin:
  Doris: An Adaptive Soft Real-Time Scheduler in Virtualized Environments. IEEE Trans. Serv. Comput. 13(5): 815-828 (2020)
• 
  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:
  Extending Relational Query Processing with ML Inference. CIDR 2020
• 
  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:
  Towards Scalable Dataframe Systems. CoRR abs/2001.00888 (2020)
• 
  Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran:
  Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development. CoRR abs/2005.01520 (2020)
• 
  Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran:
  Fine-Grained Lineage for Safer Notebook Interactions. CoRR abs/2012.06981 (2020)
• 2019
• 
  Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran:
  A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. 42(2): 59-70 (2019)
• 
  Dawn T. H. Tan, Doris Keh Ting Ng, Kelvin Jian Aun Ooi, Ezgi Sahin, Ju Won Choi, Peng Xing, George F. R. Chen, Byoung-Uk Sohn, Hongwei Gao:
  Nonlinear optical signal processing in CMOS-compatible ultra-silicon-rich nitride devices. OECC/PSC 2019: 1-3
• 
  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:
  Extending Relational Query Processing with ML Inference. CoRR abs/1911.00231 (2019)
• 2018
• 
  Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
  Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. 11(12): 1958-1961 (2018)
• 
  Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran:
  Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. 12(4): 446-460 (2018)
• 
  Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han:
  Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. ICDM 2018: 1350-1355
• 
  Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
  Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD 2018: 9:1-9:4
• 
  Doris Xin, Litian Ma, Shuchen Song, Aditya G. Parameswaran:
  How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature. CoRR abs/1803.10311 (2018)
• 
  Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran:
  Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR abs/1804.05892 (2018)

skipping 11 more matches