Mangesh Bendre

According to our database, Mangesh Bendre authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Tackling Diverse Minorities in Imbalanced Classification.

Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-task Knowledge Graph Representations via Residual Functions.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Few-Shot Link Prediction with Domain-Agnostic Graph Embedding.

Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine.

Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews.

Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran

Proc. VLDB Endow., 2021

GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions.

Mangesh Bendre, Mahashweta Das, Fei Wang, Hao Yang

Proceedings of the WSDM '21, 2021

Constrained Non-Affine Alignment of Embeddings.

Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Benchmarking Spreadsheet Systems.

Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran

Proceedings of the 2020 International Conference on Management of Data, 2020

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.

Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation.

Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran

Proceedings of the 2019 International Conference on Management of Data, 2019

Faster, Higher, Stronger: Redesigning Spreadsheets for Scale.

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

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Towards unifying spreadsheets with databases for ad-hoc interactive data management at scale

Mangesh Bendre

PhD thesis, 2018

Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management.

Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2015

DATASPREAD: Unifying Databases and Spreadsheets.

Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran

Proc. VLDB Endow., 2015