research
∙
08/14/2023
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
LSM-trees are widely adopted as the storage backend of key-value stores....
share
research
∙
04/11/2023
Biological Factor Regulatory Neural Network
Genes are fundamental for analyzing biological systems and many recent w...
research
∙
08/12/2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation
Risk scoring systems have been widely deployed in many applications, whi...
research
∙
06/21/2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Vector graphics (VG) have been ubiquitous in our daily life with vast ap...
research
∙
03/30/2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
In large-scale online services, crucial metrics, a.k.a., key performance...
research
∙
11/05/2021
Recognizing Vector Graphics without Rasterization
In this paper, we consider a different data format for images: vector gr...
research
∙
08/17/2021
How Powerful is Graph Convolution for Recommendation?
Graph convolutional networks (GCNs) have recently enabled a popular clas...
research
∙
11/04/2019
A General Early-Stopping Module for Crowdsourced Ranking
Crowdsourcing can be used to determine a total order for an object set (...
research
∙
11/04/2019
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms
In this paper, we propose a Deep Reinforcement Learning (RL) framework f...
research
∙
08/07/2017
