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Shenhao Wang
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Journal Articles
- 2024
- [j3]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): 8770-8781 (2024) - 2022
- [j2]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): 42713-42730 (2022) - [j1]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): 23231-23243 (2022)
Conference and Workshop Papers
- 2023
- [c2]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: 1454-1459 - 2022
- [c1]Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD 2022: 4639-4647
Informal and Other Publications
- 2024
- [i15]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 abs/2404.14701 (2024) - [i14]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 abs/2405.14079 (2024) - 2023
- [i13]Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR abs/2303.04040 (2023) - [i12]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 abs/2303.04204 (2023) - [i11]Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao:
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR abs/2303.05698 (2023) - [i10]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 abs/2309.05072 (2023) - 2022
- [i9]Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR abs/2208.05908 (2022) - 2021
- [i8]Sander van Cranenburgh, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker:
Choice modelling in the age of machine learning. CoRR abs/2101.11948 (2021) - [i7]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 abs/2102.01130 (2021) - [i6]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 abs/2105.14318 (2021) - [i5]Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. CoRR abs/2109.12422 (2021) - 2020
- [i4]Shenhao Wang, Baichuan Mo, Jinhua Zhao:
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. CoRR abs/2010.11644 (2020) - 2019
- [i3]Shenhao Wang, Jinhua Zhao:
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. CoRR abs/1901.00227 (2019) - [i2]Shenhao Wang, Jinhua Zhao:
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. CoRR abs/1909.07481 (2019) - 2018
- [i1]Shenhao Wang, Jinhua Zhao:
Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example. CoRR abs/1812.04528 (2018)
Coauthor Index
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