Yunhan Zheng

19 papers A* 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Integrated Causal Inference Framework for Traffic Safety Modeling with Semantic Street-View Visual Features.
CoRR
Lishan Sun, Yujia Cheng, Pengfei Cui, Lei Han, Mohamed Abdel-Aty, Yunhan Zheng, Xingchen Zhang
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
2025 J jnl
Data-Driven Discovery of Mobility Periodicity for Understanding Urban Transportation Systems.
CoRR
Xinyu Chen, Qi Wang, Yunhan Zheng, Nina Cao, HanQin Cai, 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 — 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
Reimagining Urban Science: Scaling Causal Inference with Large Language Models.
CoRR
Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao
2025 J jnl
Robust binary and multinomial logit models for classification with data uncertainties.
Eur. J. Oper. Res.
Baichuan Mo, Yunhan Zheng, Xiaotong Guo, Ruoyun Ma, 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
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
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System.
CoRR
Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao
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
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
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
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