Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services
Publication NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang The Web Conference 2019 | May 2019 Project Project Project
Publication Outage Prediction and Diagnosis for Cloud Service Systems Yujun Chen, Xian Yang, Qingwei Lin 林庆维, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang 2019 The Web Conference | May 2019
Publication DataToon: Drawing Dynamic Network Comics With Pen + Touch Interaction Nam Wook Kim, Nathalie Henry Riche, Benjamin Bach, Guanpang A. Xu, Matthew Brehmer, Ken Hinckley, Michel Pahud, Haijun Xia, Michael McGuffin, Hanspeter Pfister CHI 2019 | May 2019 Project Project
Publication Cumulative Activation in Social Networks Xiaohan Shan, Wei Chen, Qiang Li, Xiaoming Sun, Jialin Zhang Science China Information Sciences | May 2019, Vol 62
Publication Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning Chen Zhao, Yeye He WWW – World Wide Web Consortium (W3C) | May 2019 Project
Publication Optimization of Data Access from Imperative Programs using Static Analysis Venkatesh Emani May 2019 PhD Thesis: IIT Bombay | May 2019 ACM India Doctoral Dissertation Award 2020 (Honorable Mention), IIT Bombay Excellence in Ph.D. Research Award 2019
Publication Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization Cedric Renggli, Frances Ann Hubis, Bojan Karlas, Kevin Schawinski, Wentao Wu, Ce Zhang Proceedings of the VLDB Endowment (VLDB 2019) | May 2019
Publication AI Meets AI: Leveraging Query Executions to Improve Index Recommendations Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019 Project
Publication Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models Fred Hohman, Andrew Head, Rich Caruana, Robert DeLIne, Steven Drucker SIGCHI | May 2019 Project
Publication Managing Messes in Computational Notebooks Andrew Head, Fred Hohman, Titus Barik, Steven Drucker, Robert DeLIne SIGCHI | May 2019 Best Paper Award
Research
