129 citations · 328 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…