activity
20182022
most citedSpatial-Temporal Deep Intention Destination Networks for Online Travel Planning

2 citations · 6 across the 8 of their papers we have counts for

collaborators

18 papers

math.OC20221 cited

Sampling-Based Optimization for Multi-Agent Model Predictive Control

Ziyi Wang, Augustinos D. Saravanos, Hassan Almubarak +2

We systematically review the Variational Optimization, Variational Inference and Stochastic Search perspectives on sampling-based dynamic optimization and discuss their connections…

cs.MA2022

Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control

Tianrong Chen, Ziyi Wang, Evangelos A. Theodorou

In this paper, we present a scalable deep learning approach to solve opinion dynamics stochastic optimal control problems with mean field term coupling in the dynamics and cost fun…

math.OC2022

Opinion Dynamics Steering using Stochastic Search

Ziyi Wang, Evangelos A. Theodorou

In this paper, we apply the stochastic search dynamic optimization framework for steering opinion dynamics in a partially active population. The framework is grounded on stochastic…

cs.AI20212 cited

Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning

Yu Li, Fei Xiong, Ziyi Wang +4

Nowadays, artificial neural networks are widely used for users' online travel planning. Personalized travel planning has many real applications and is affected by various factors,…

cs.IR2021

LHRM: A LBS based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform

Ziyi Wang, Wendong Xiao, Yu Li +2

Most current recommender systems used the historical behaviour data of user to predict user' preference. However, it is difficult to recommend items to new users accurately. To all…

cs.IR2021

Itinerary-aware Personalized Deep Matching at Fliggy

Jia Xu, Ziyi Wang, Zulong Chen +3

Matching items for a user from a travel item pool of large cardinality have been the most important technology for increasing the business at Fliggy, one of the most popular online…