SW
Shenhao Wang
cs.LGcs.AIcs.CVecon.GNq-fin.ECstat.MLcs.CLcs.CYcs.SIecon.EM
On Valency
published · living versionsW_epd9fz8w·v1 · currentpublished
AgenticCity-Bench: Longitudinal Multimodal Observations of Urban Dynamics with Agentic Reasoning
with Xiaofei Yu, Kailai Sun, Yanyu Mao, Baoshen Guo +5
1 version
Preprints & journals
49 papers in the corpus · 2018–2026Understanding Interfirm AI Talent Flow Networks through Online Professional Profiles2610.08264v1 · Donghang Li, Yunhan Zheng, Alok Prakash et al.2026 · 0 citationsarXiv
Gradient-Guided Decoupled Adaptation for Geospatial Vision-Language Models2609.32737v1 · Dongdong Wang, Deepak Balakrishnan, Ravi Srinivasan et al.2026 · 0 citationsarXiv
USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments2609.32813v1 · Dongdong Wang, Qingqi Song, Yuzhou Chen et al.2026 · 0 citationsarXiv
BASeg: Boundary-Aware Remote Sensing Segmentation with Structural Penalties2608.15683v1 · Yuexi Song, Kailai Sun, Zhuoyu Wang et al.2026 · 0 citationsarXiv
Public transit gains and spatially uneven travel demand changes after NYC congestion pricing2606.17530v1 · Donghang Li, Dingyi Zhuang, Yunlin Li et al.2026 · 0 citationsarXiv
Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility2606.01745v1 · Baoshen Guo, Donghang Li, Zhiqing Hong et al.2026 · 0 citationsarXiv
SENSE: Satellite-based ENergy Synthesis for Sustainable Environment2605.18101v1 · Kailai Sun, Mingyi He, Heye Huang et al.2026 · 0 citationsarXiv
Designing streetscapes from street-view imagery using diffusion models2605.17527v1 · Yuzhou Chen, Yuebing Liang, Lingqian Hu et al.2026 · 0 citationsarXiv
Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models2605.08404v1 · Dongdong Wang, Deepak Balakrishnan, Ravi Srinivasan et al.2026 · 0 citationsarXiv
Envisioning global urban development with satellite imagery and generative AI2603.26831v1 · Kailai Sun, Yuebing Liang, Mingyi He et al.2026 · 0 citationsarXiv
TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction2601.13422v1 · Dahai Yu, Rongchao Xu, Dingyi Zhuang et al.2026 · 0 citationsarXiv
AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library2510.18428v4 · Minwei Kong, Ao Qu, Xiaotong Guo et al.2025 · 1 citationarXiv
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems.40465431 · Chen, Xinyu, Zhuang, Dingyi, Cai, HanQin et al.2025 · 2 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(10):8524-8537
Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling2509.07123v2 · Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang et al.2025 · 0 citationsarXiv
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction2508.08551v2 · Dahai Yu, Dingyi Zhuang, Lin Jiang et al.2025 · 4 citationsarXiv
Graph neural networks for residential location choice: connection to classical logit models2507.21334v1 · Zhanhong Cheng, Lingqian Hu, Yuheng Bu et al.2025 · 3 citationsarXiv
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion2507.13366v1 · Baoshen Guo, Zhiqing Hong, Junyi Li et al.2025 · 1 citationarXiv
Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models2505.24260v1 · Mingyi He, Yuebing Liang, Shenhao Wang et al.2025 · 2 citationsarXiv
Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models2505.08833v1 · Qingyi Wang, Yuebing Liang, Yunhan Zheng et al.2025 · 29 citationsarXiv
Reimagining Urban Science: Scaling Causal Inference with Large Language Models2504.12345v3 · Yutong Xia, Ao Qu, Yunhan Zheng et al.2025 · 0 citationsarXiv
Reliable imputation of incomplete crash data for predicting driver injury severity.40188537 · Gao, Xiaowei, Jiang, Xinke, Zhuang, Dingyi et al.2025 · 4 citationsAccident; analysis and prevention. 2025;216:108020
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning2503.12761v1 · Yuebing Liang, Shenhao Wang, Jiangbo Yu et al.2025 · 3 citationsarXiv
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study2501.11214v1 · Dingyi Zhuang, Hanyong Xu, Xiaotong Guo et al.2025 · 1 citationarXiv
Virtual Nodes Improve Long-term Traffic Prediction2501.10048v1 · Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao et al.2025 · 0 citationsarXiv
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning2410.16162v4 · Yihong Tang, Ao Qu, Zhaokai Wang et al.2024 · 1 citationarXiv
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks2410.09570v2 · Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng et al.2024 · 0 citationsarXiv
Uncertainty-aware probabilistic graph neural networks for road-level traffic crash prediction.39362109 · Gao, Xiaowei, Jiang, Xinke, Haworth, James et al.2024 · 49 citationsAccident; analysis and prevention. 2024;208:107801
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks2409.08766v1 · Dingyi Zhuang, Yuheng Bu, Guang Wang et al.2024 · 5 citationsarXiv
Effects of electric vehicle charging stations on the economic vitality of local businesses.39231925 · Zheng, Yunhan, Keith, David R, Wang, Shenhao et al.2024 · 64 citationsNature communications. 2024;15(1):7437
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network2405.14079v1 · Dingyi Zhuang, Qingyi Wang, Yunhan Zheng et al.2024 · 0 citationsarXiv
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization2404.14701v2 · Siqi Feng, Rui Yao, Stephane Hess et al.2024 · 17 citationsTransportation Research Part C: Emerging Technologies, Volume 166, 2024, 104767
Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition.37680462 · Zhang, Da, Wang, Qingyi, Song, Shaojie et al.2023 · 7 citationsiScience. 2023;26(9):107652
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks2305.06480v3 · Zepu Wang, Dingyi Zhuang, Yankai Li et al.2023 · 18 citationsarXiv
Fairness-enhancing deep learning for ride-hailing demand prediction2303.05698v1 · Yunhan Zheng, Qingyi Wang, Dingyi Zhuang et al.2023 · 26 citationsarXiv
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks2303.04040v2 · Qingyi Wang, Shenhao Wang, Dingyi Zhuang et al.2023 · 48 citationsarXiv
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?2303.04204v2 · Qingyi Wang, Shenhao Wang, Yunhan Zheng et al.2023 · 15 citationsTransportation Research Part B: Methodological, Volume 179, 2024, 102869
Comparing modelling approaches for the estimation of government intervention effects in COVID-19: Impact of voluntary behavior changes.36791127 · Liu, Lun, Zhang, Zhu, Wang, Hui et al.2023 · 6 citationsPloS one. 2023;18(2):e0276906
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks2208.05908v1 · Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos et al.2022 · 59 citationsarXiv
Transit Frequency Setting Problem with Demand Uncertainty2204.12666v2 · Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos et al.2022 · 0 citationsarXiv
Infectiousness of places - Impact of multiscale human activity places in the transmission of COVID-19.37521773 · Liu, Lun, Wang, Hui, Zhang, Zhu et al.2025 · 5 citationsnpj urban sustainability. 2022;2(1):28
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models2109.12422v1 · Yunhan Zheng, Shenhao Wang, Jinhua Zhao2021 · 46 citationsarXiv
Estimating air quality co-benefits of energy transition using machine learning2105.14318v1 · Da Zhang, Qingyi Wang, Shaojie Song et al.2021 · 0 citationsarXiv
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark2102.01130v3 · Shenhao Wang, Baichuan Mo, Yunhan Zheng et al.2021 · 55 citationsarXiv
Choice modelling in the age of machine learning -- discussion paper2101.11948v2 · S. Van Cranenburgh, S. Wang, A. Vij et al.2021 · 140 citationsJournal of Choice Modelling 42 (2022): 100340
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks2010.11644v1 · Shenhao Wang, Baichuan Mo, Jinhua Zhao2020 · 60 citationsarXiv
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions1909.07481v2 · Shenhao Wang, Baichuan Mo, Jinhua Zhao2019 · 1 citationarXiv
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data1901.00227v2 · Shenhao Wang, Qingyi Wang, Jinhua Zhao2019 · 36 citationsarXiv
Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation1812.04528v3 · Shenhao Wang, Qingyi Wang, Jinhua Zhao2018 · 122 citationsarXiv
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective1810.10465v2 · Shenhao Wang, Qingyi Wang, Nate Bailey et al.2018 · 49 citationsarXiv
Career total: 91 works. 49 are in this corpus.
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