Shenhao Wang - RankMe

45 papers A* 3Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Envisioning global urban development with satellite imagery and generative AI. CoRR Kailai Sun, Yuebing Liang, Mingyi He, Yunhan Zheng, Alok Prakash, Shenhao Wang, Jinhua Zhao, Alex 'Sandy' Pentland
2026	—	`conf`	Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion. KDD (1) Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao
2026	A*	`conf`	TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction. AAAI Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang
2026	J	`jnl`	TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction. CoRR Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning. CoRR Yuebing Liang, Shenhao Wang, Jiangbo Yu, Zhan Zhao, Jinhua Zhao, Sandy Pentland
2025	J	`jnl`	Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems. IEEE Trans. Pattern Anal. Mach. Intell. Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao
2025	A*	`conf`	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. ICLR Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. CoRR Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao
2025	J	`jnl`	Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models. CoRR Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang
2025	J	`jnl`	Generative AI for urban planning: Synthesizing satellite imagery via diffusion models. Comput. Environ. Urban Syst. Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang
2025	J	`jnl`	Graph neural networks for residential location choice: connection to classical logit models. CoRR Zhanhong Cheng, Lingqian Hu, Yuheng Bu, Yuqi Zhou, Shenhao Wang
2025	J	`jnl`	Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion. CoRR Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao
2025	—	`conf`	Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. WWW (Companion Volume) Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. CoRR Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2025	J	`jnl`	NestGNN: A Graph Neural Network Framework Generalizing the Nested Logit Model for Travel Mode Choice. CoRR Yuqi Zhou, Zhanhong Cheng, Lingqian Hu, Yuheng Bu, Shenhao Wang
2025	J	`jnl`	RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing. CoRR Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He, Dingyi Zhuang, Shenhao Wang, Jiangbo Yu, Harilaos N. Koutsopoulos, Jinhua Zhao
2025	—	`conf`	Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning. EMNLP (Findings) Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao
2025	—	`conf`	UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction. SIGSPATIAL/GIS Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction. CoRR Dahai Yu, Dingyi Zhuang, Lin Jiang, Rongchao Xu, Xinyue Ye, Yuheng Bu, Shenhao Wang, Guang Wang
2025	J	`jnl`	Virtual Nodes Improve Long-term Traffic Prediction. CoRR Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao, Shenhao Wang
2024	J	`jnl`	Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network. CoRR Dingyi Zhuang, Qingyi Wang, Yunhan Zheng, Xiaotong Guo, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2024	J	`jnl`	Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization. CoRR Siqi Feng, Rui Yao, Stephane Hess, Ricardo A. Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang
2024	J	`jnl`	GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. CoRR Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2024	J	`jnl`	Robust Transit Frequency Setting Problem With Demand Uncertainty. IEEE Trans. Intell. Transp. Syst. Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos, Shenhao Wang, Jinhua Zhao
2024	—	`conf`	SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. SIGSPATIAL/GIS Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao
2024	J	`jnl`	SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. CoRR Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao
2024	J	`jnl`	Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. CoRR Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao
2024	J	`jnl`	Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks. IEEE Trans. Intell. Transp. Syst. Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
2023	J	`jnl`	Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? CoRR Qingyi Wang, Shenhao Wang, Yunhan Zheng, Hongzhou Lin, Xiaohu Zhang, Jinhua Zhao, Joan Walker
2023	J	`jnl`	Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao
2023	—	`conf`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. ITSC Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu
2023	J	`jnl`	Spatiotemporal Graph Neural Networks with Uncertainty Quantification for Traffic Incident Risk Prediction. CoRR Xiaowei Gao, Xinke Jiang, Dingyi Zhuang, Huanfa Chen, Shenhao Wang, James Haworth
2023	J	`jnl`	Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks. CoRR Qingyi Wang, Shenhao Wang, Dingyi Zhuang, Haris N. Koutsopoulos, Jinhua Zhao
2022	J	`jnl`	Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
2022	J	`jnl`	End-to-end video compression for surveillance and conference videos. Multim. Tools Appl. Shenhao Wang, Yu Zhao, Han Gao, Mao Ye, Shuai Li
2022	A*	`conf`	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. KDD Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2022	J	`jnl`	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. CoRR Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2021	J	`jnl`	Choice modelling in the age of machine learning. CoRR Sander van Cranenburgh, Shenhao Wang, Akshay Vij, Francisco Pereira, Joan Walker
2021	J	`jnl`	Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. CoRR Shenhao Wang, Baichuan Mo, Stephane Hess, Jinhua Zhao
2021	J	`jnl`	Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models. CoRR Yunhan Zheng, Shenhao Wang, Jinhua Zhao
2021	J	`jnl`	Estimating air quality co-benefits of energy transition using machine learning. CoRR Da Zhang, Qingyi Wang, Shaojie Song, Simiao Chen, Mingwei Li, Lu Shen, Siqi Zheng, Bofeng Cai, Shenhao Wang
2020	J	`jnl`	Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. CoRR Shenhao Wang, Baichuan Mo, Jinhua Zhao
2019	J	`jnl`	Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. CoRR Shenhao Wang, Jinhua Zhao
2019	J	`jnl`	Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. CoRR Shenhao Wang, Jinhua Zhao
2018	J	`jnl`	Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable Economic Information: An Empirical Example. CoRR Shenhao Wang, Jinhua Zhao