activity
20182021
most citedUnderstanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

75 citations · 84 across the 4 of their papers we have counts for

collaborators

8 papers

cs.IR20213 cited

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top- Recommendation

Hui Wang, Kun Zhou, Wayne Xin Zhao +2

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-

q-fin.TR2019

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

Jingyuan Wang, Yang Zhang, Ke Tang +2

Recent years have witnessed the successful marriage of finance innovations and AI techniques in various finance applications including quantitative trading (QT). Despite great rese…

cs.AI20195 cited

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation

Jingyuan Wang, Ning Wu, Wayne Xin Zhao +2

Personalized Route Recommendation (PRR) aims to generate user-specific route suggestions in response to users' route queries. Early studies cast the PRR task as a pathfinding probl…

cs.LG201975 cited

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

Jingyuan Wang, Junjie Wu, Ze Wang +2

Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…

cs.LG20191 cited

SVM-based Deep Stacking Networks

Jingyuan Wang, Kai Feng, Junjie Wu

The deep network model, with the majority built on neural networks, has been proved to be a powerful framework to represent complex data for high performance machine learning. In r…

cs.SI2018

Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention

Jingyuan Wang, Xiaojian Wang, Junjie Wu

Since the 21st century, the global outbreaks of infectious diseases such as SARS in 2003, H1N1 in 2009, and H7N9 in 2013, have become the critical threat to the public health and a…