14 citations · 16 across the 3 of their papers we have counts for
5 papers
A Concurrent Switching Model for Traffic Congestion Control
Hossein Rastgoftar, Xun Liu, Jean-Baptiste Jeannin
We introduce a new conservation-based approach for traffic coordination modeling and control in a network of interconnected roads (NOIR) with switching movement phase rotations at…
Apache Submarine: A Unified Machine Learning Platform Made Simple
Kai-Hsun Chen, Huan-Ping Su, Wei-Chiu Chuang +12
As machine learning is applied more widely, it is necessary to have a machine learning platform for both infrastructure administrators and users including expert data scientists an…
Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process
Xun Liu, Hossein Rastgoftar
In this paper, we introduce a new conservation-based approach to model traffic dynamics, and apply the model predictive control (MPC) approach to control the boundary traffic inflo…
Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia
Xun Liu, Hossein Rastgoftar
This paper develops a conservation-based approach to model traffic dynamics and alleviate traffic congestion in a network of interconnected roads (NOIR). We generate a NOIR by usin…
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System
Xun Liu, Wei Xue, Lei Xiao +1
We describe a parallel bayesian online deep learning framework (PBODL) for click-through rate (CTR) prediction within today's Tencent advertising system, which provides quick and a…