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Mangesh Bendre
Mangesh Bendre
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Year
DATASPREAD: Unifying Databases and Spreadsheets
M Bendre, B Sun, X Zhou, D Zhang, K Chang, A Parameswaran
38*
Transfer learning via contextual invariants for one-to-many cross-domain recommendation
A Krishnan, M Das, M Bendre, H Yang, H Sundaram
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
302020
Towards a holistic integration of spreadsheets with databases: A scalable storage engine for presentational data management
M Bendre, V Venkataraman, X Zhou, K Chang, A Parameswaran
2018 IEEE 34th International Conference on Data Engineering (ICDE), 113-124, 2018
232018
Anti-freeze for large and complex spreadsheets: Asynchronous formula computation
M Bendre, T Wattanawaroon, K Mack, K Chang, A Parameswaran
Proceedings of the 2019 International Conference on Management of Data, 1277 …, 2019
152019
Benchmarking spreadsheet systems
S Rahman, K Mack, M Bendre, R Zhang, K Karahalios, A Parameswaran
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
122020
Faster, higher, stronger: Redesigning spreadsheets for scale
M Bendre, T Wattanawaroon, S Rahman, K Mack, Y Liu, S Zhu, Y Lu, ...
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1972-1975, 2019
92019
NOAH: interactive spreadsheet exploration with dynamic hierarchical overviews
S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, ...
Proceedings of the VLDB Endowment 14 (6), 970-983, 2021
52021
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions
M Bendre, M Das, F Wang, H Yang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
22021
Understanding Data Analysis Workflows on Spreadsheets: Roadblocks and Opportunities
P Yang, TC Cheng
Proceedings of Workshop on Human-In-the-Loop Data Analytics (HILDA’20)., 2020
22020
Extending spreadsheets to support seamless navigation at scale
S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, A Parameswaran
22019
Scaling up to billions of cells with dataspread: Supporting large spreadsheets with databases
M Bendre, V Venkataraman, X Zhou, KCC Chang, A Parameswaran
Tech. Rep, 0
2
Constrained non-affine alignment of embeddings
Y Wang, Y Zheng, Y Peng, M Yeh, Z Zhuang, D Mahashweta, B Mangesh, ...
2021 IEEE International Conference on Data Mining (ICDM), 1403-1408, 2021
12021
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine
M Bendre, M Das, V Rakesh, F Wang, H Yang
2022 IEEE International Conference on Big Data (Big Data), 835-843, 2022
2022
Multi-task Knowledge Graph Representations via Residual Functions
A Krishnan, M Das, M Bendre, F Wang, H Yang, H Sundaram
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia …, 2022
2022
Method, System, and Computer Program Product for Knowledge Graph Based Embedding, Explainability, and/or Multi-Task Learning
A Nouri, M Bendre, M Das, F Wang, H Yang, A Krishnan
US Patent App. 17/495,214, 2022
2022
Meta-transfer learning via contextual invariants for cross-domain recommendation
A Krishnan, M Das, M Bendre, F Wang, H Yang
US Patent App. 17/070,795, 2021
2021
Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale
M Bendre
2018
Few-shot graph link prediction with domain adaptation
H Zhu, M Das, M Bendre, F Wang, H Yang, S Hassoun
Benchmarking Spreadsheet Systems (Technical Report)
S Rahman, K Mack, M Bendre, R Zhang, R Lin, K Karahalios, ...
“It’sa grid, it’sa form, it’sa spreadsheet!”: Revisiting Sensemaking with Spreadsheets for Presentation and Data Analysis
P Yang, S Rahman, M Bendre, JS Park, KCC Chang, K Karahalios, ...
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