129 citations · 328 across the 11 of their papers we have counts for
11 papers
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense
Jingyuan Wang, Yufan Wu, Mingxuan Li +3
While having achieved great success in rich real-life applications, deep neural network (DNN) models have long been criticized for their vulnerability to adversarial attacks. Treme…
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Chao Huang +5
Robust prediction of citywide traffic flows at different time periods plays a crucial role in intelligent transportation systems. While previous work has made great efforts to mode…
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-…
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…
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…
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Jingyuan Wang, Ze Wang, Jianfeng Li +1
Recent years have witnessed the unprecedented rising of time series from almost all kindes of academic and industrial fields. Various types of deep neural network models have been…
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
Jingyuan Wang, Xu He, Ze Wang +4
Driven by the wave of urbanization in recent decades, the research topic about migrant behavior analysis draws great attention from both academia and the government. Nevertheless,…
Predictability of road traffic and congestion in urban areas
Jingyuan Wang, Yu Mao, Jing Li +3
Mitigating traffic congestion on urban roads, with paramount importance in urban development and reduction of energy consumption and air pollution, depends on our ability to forese…