107 citations · 128 across the 8 of their papers we have counts for
6 papers · 1 filter
A Tutorial on Regression Analysis: From Linear Models to Deep Learning -- Lecture Notes on Artificial Intelligence
Jingyuan Wang, Jiahao Ji
This article serves as the regression analysis lecture notes in the Intelligent Computing course cluster (including the courses of Artificial Intelligence, Data Mining, Machine Lea…
HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
Yongyao Wang, Xie Yu, Jingyuan Wang +2
Traffic forecasting task is significant to modern urban management. Recently, there is growing attention on large-scale forecasting, as it better reflects the complexity of real-wo…
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang +3
Air quality prediction and modelling plays a pivotal role in public health and environment management, for individuals and authorities to make informed decisions. Although traditio…
Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning
Jiahao Ji, Jingyuan Wang, Yu Mou +1
Spatio-temporal (ST) prediction is an important and widely used technique in data mining and analytics, especially for ST data in urban systems such as transportation data. In prac…
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…
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Zhe Jiang +2
High-performance traffic flow prediction model designing, a core technology of Intelligent Transportation System, is a long-standing but still challenging task for industrial and a…