Shenhao Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Data Imputation

Behavior Analysis

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network. CoRR (2024)
Siqi Feng, Rui Yao, Stephane Hess, Ricardo A. Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization. CoRR (2024)
Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. ITSC (2023)
Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth
Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR (2023)
Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR (2023)
Qingyi Wang, Shenhao Wang, Yunhan Zheng, Hongzhou Lin, Xiaohu Zhang, Jinhua Zhao, Joan Walker
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? CoRR (2023)
Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR (2023)
Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR (2022)
Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD (2022)
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Shenhao Wang, Yu Zhao, Han Gao, Mao Ye, Shuai Li
End-to-end video compression for surveillance and conference videos. Multim. Tools Appl. 81 (29) (2022)
Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. CoRR (2021)
Da Zhang, Qingyi Wang, Shaojie Song, Simiao Chen, Mingwei Li, Lu Shen, Siqi Zheng, Bofeng Cai, Shenhao Wang
Estimating air quality co-benefits of energy transition using machine learning. CoRR (2021)
Yunhan Zheng, Shenhao Wang, Jinhua Zhao
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. CoRR (2021)
Shenhao Wang, Baichuan Mo, Jinhua Zhao
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. CoRR (2020)
Shenhao Wang, Jinhua Zhao
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. CoRR (2019)
Shenhao Wang, Jinhua Zhao
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. CoRR (2019)
Shenhao Wang, Jinhua Zhao
Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example. CoRR (2018)