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ORCIDMangesh Bendre
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2020 – today
- 2023
[c11]Kwei-Herng Lai
, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187- [i3]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CoRR abs/2308.14838 (2023) - 2022
- [c10]Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data 2022: 835-843 - [c9]Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun:
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding. ICMLA 2022: 659-664 - [c8]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. PAKDD (1) 2022: 262-275 - 2021
- [j2]Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran:
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. Proc. VLDB Endow. 14(6): 970-983 (2021) - [c7]Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips:
Constrained Non-Affine Alignment of Embeddings. ICDM 2021: 1403-1408 - [c6]Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang:
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions. WSDM 2021: 914-917 - 2020
- [c5]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. SIGIR 2020: 1081-1090 - [c4]Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran:
Benchmarking Spreadsheet Systems. SIGMOD Conference 2020: 1589-1599 - [i2]Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. CoRR abs/2005.10473 (2020)
2010 – 2019
- 2019
- [c3]Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE 2019: 1972-1975 - [c2]Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran:
Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference 2019: 1277-1294 - 2018
- [b1]Mangesh Bendre:
Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale. University of Illinois Urbana-Champaign, USA, 2018 - [c1]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE 2018: 113-124 - 2017
- [i1]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR abs/1708.06712 (2017) - 2015
- [j1]Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. 8(12): 2000-2003 (2015)
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