9 citations · 16 across the 5 of their papers we have counts for
7 papers
TSEXPLAIN: Explaining Aggregated Time Series by Surfacing Evolving Contributors
Yiru Chen, Silu Huang
Aggregated time series are generated effortlessly everywhere, e.g., "total confirmed covid-19 cases since 2019" and "total liquor sales over time." Understanding "how" and "why" th…
Frugal Optimization for Cost-related Hyperparameters
Qingyun Wu, Chi Wang, Silu Huang
The increasing demand for democratizing machine learning algorithms calls for hyperparameter optimization (HPO) solutions at low cost. Many machine learning algorithms have hyperpa…
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding +1
A machine learning configuration refers to a combination of preprocessor, learner, and hyperparameters. Given a set of configurations and a large dataset randomly split into traini…
OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu +2
Data science teams often collaboratively analyze datasets, generating dataset versions at each stage of iterative exploration and analysis. There is a pressing need for a system th…
Finding Multiple New Optimal Locations in a Road Network
Ruifeng Liu, Ada WaiChee Fu, Zitong Chen +2
We study the problem of optimal location querying for location based services in road networks, which aims to find locations for new servers or facilities. The existing optimal sol…
Towards a unified query language for provenance and versioning
Amit Chavan, Silu Huang, Amol Deshpande +3
Organizations and teams collect and acquire data from various sources, such as social interactions, financial transactions, sensor data, and genome sequencers. Different teams in a…