Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services
Publication Table2Charts: Recommending Charts by Learning Shared Table Representations Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang (姜大昕), Dongmei Zhang The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21) | August 2021 Project
Publication KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers Chia-Hsuan Lee, Alex Polozov, Matthew Richardson ACL-IJCNLP 2021 | August 2021 Access Project
Publication The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Joshua Rowe, Fan Zhang, Rich Draves, Marc Friedman, Ivan Santa Maria Filho, Amrish Kumar VLDB 2021 | August 2021
Publication VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Publication On Post-selection Inference in A/B Testing Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2021
Publication Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions Bojan Karlas, Peng Li, Renzhi Wu, Nezihe Merve Gurel, Xu Chu, Wentao Wu, Ce Zhang Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Publication AutoExecutor: Predictive Parallelism for Spark SQL Queries Rathijit Sen, Abhishek Roy, Alekh Jindal, Rui Fang, Jeff Zheng, Xiaolei Liu, Ruiping Li VLDB | August 2021 Best Demonstration Award
Publication COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
Publication Phoebe: A Learning-based Checkpoint Optimizer Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal VLDB 2021 | August 2021
Publication Learning to Represent Human Motives for Goal-directed Web Browsing Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan 15th ACM Conference on Recommender Systems | August 2021
Research
