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ORCIDJinhua Zhao 0001
Person information
- affiliation: Massachusetts Institute of Technology (MIT), Department of Urban Studies and Planning, Department of Civil and Environmental Engineering, Cambridge, MA, USA
Other persons with the same name
- Jinhua Zhao (aka: Jin-Hua Zhao) — disambiguation page
- Jinhua Zhao 0002
![[0000-0003-4290-6540]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4290-6540")
— Central China Normal University, Wollongong Joint Institute, Faculty of Artificial Intelligence in Education, China (and 1 more)
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2020 – today
- 2025
[j19]Baichuan Mo, Yunhan Zheng, Xiaotong Guo, Ruoyun Ma, Jinhua Zhao:
Robust binary and multinomial logit models for classification with data uncertainties. Eur. J. Oper. Res. 327(2): 577-591 (2025)- [j18]Xinyu Chen, Dingyi Zhuang, HanQin Cai, Shenhao Wang, Jinhua Zhao:
Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8524-8537 (2025) - [j17]Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao:
Correlating Time Series With Interpretable Convolutional Kernels. IEEE Trans. Knowl. Data Eng. 37(6): 3272-3283 (2025) - [j16]Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao:
Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty. Transp. Sci. 59(6): 1235-1258 (2025) - [j15]Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang:
Generative AI for urban planning: Synthesizing satellite imagery via diffusion models. Comput. Environ. Urban Syst. 122: 102339 (2025) - [c10]Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. ICLR 2025 - [c9]Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. WWW (Companion Volume) 2025: 2351-2360 - [i41]Xiaoyang Cao, Dingyi Zhuang, Jinhua Zhao, Shenhao Wang:
Virtual Nodes Improve Long-term Traffic Prediction. CoRR abs/2501.10048 (2025) - [i40]Dingyi Zhuang, Hanyong Xu, Xiaotong Guo, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study. CoRR abs/2501.11214 (2025) - [i39]Yuebing Liang, Shenhao Wang, Jiangbo Yu, Zhan Zhao, Jinhua Zhao, Sandy Pentland:
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning. CoRR abs/2503.12761 (2025) - [i38]Yutong Xia, Ao Qu, Yunhan Zheng, Yihong Tang, Dingyi Zhuang, Yuxuan Liang, Cathy Wu, Roger Zimmermann, Jinhua Zhao:
Reimagining Urban Science: Scaling Causal Inference with Large Language Models. CoRR abs/2504.12345 (2025) - [i37]Qingyi Wang, Yuebing Liang, Yunhan Zheng, Kaiyuan Xu, Jinhua Zhao, Shenhao Wang:
Generative AI for Urban Planning: Synthesizing Satellite Imagery via Diffusion Models. CoRR abs/2505.08833 (2025) - [i36]Mingyi He, Yuebing Liang, Shenhao Wang, Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Li Tian, Jinhua Zhao:
Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models. CoRR abs/2505.24260 (2025) - [i35]Xinling Li, Meshal Alharbi, Daniele Gammelli, James Harrison, Filipe Rodrigues, Maximilian Schiffer, Marco Pavone, Emilio Frazzoli, Jinhua Zhao, Gioele Zardini:
Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. CoRR abs/2506.07345 (2025) - [i34]Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao:
Interpretable Time Series Autoregression for Periodicity Quantification. CoRR abs/2506.22895 (2025) - [i33]Baoshen Guo, Zhiqing Hong, Junyi Li, Shenhao Wang, Jinhua Zhao:
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion. CoRR abs/2507.13366 (2025) - [i32]Joseph Rodriguez, Haris N. Koutsopoulos, Jinhua Zhao:
Deploying Robust Decision Support Systems for Transit Headway Control: Rider Impacts, Human Factors and Recommendations for Scalability. CoRR abs/2509.08231 (2025) - [i31]Minwei Kong, Ao Qu, Xiaotong Guo, Wenbin Ouyang, Chonghe Jiang, Han Zheng, Yining Ma, Dingyi Zhuang, Yuhan Tang, Junyi Li, Hai Wang, Cathy Wu, Jinhua Zhao:
AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library. CoRR abs/2510.18428 (2025) - [i30]Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He, Dingyi Zhuang, Shenhao Wang, Jiangbo Yu, Harilaos N. Koutsopoulos, Jinhua Zhao:
RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing. CoRR abs/2512.13727 (2025) - 2024
- [j14]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) - [j13]Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos, Shenhao Wang, Jinhua Zhao:
Robust Transit Frequency Setting Problem With Demand Uncertainty. IEEE Trans. Intell. Transp. Syst. 25(10): 13305-13322 (2024) - [c8]Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma:
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. EMNLP (Industry Track) 2024: 1413-1432 - [c7]Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao:
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. SIGSPATIAL/GIS 2024: 160-172 - [i29]Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao:
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. CoRR abs/2401.00093 (2024) - [i28]Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma:
Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. CoRR abs/2402.07204 (2024) - [i27]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) - [i26]Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao:
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. CoRR abs/2409.08766 (2024) - [i25]Dingyi Zhuang, Chonghe Jiang, Yunhan Zheng, Shenhao Wang, Jinhua Zhao:
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks. CoRR abs/2410.09570 (2024) - [i24]Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao:
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning. CoRR abs/2410.16162 (2024) - 2023
- [j12]Dajiang Suo, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma:
Proof of Travel for Trust-Based Data Validation in V2I Communication. IEEE Internet Things J. 10(11): 9565-9584 (2023) - [j11]Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao:
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. Transp. Sci. 57(2): 313-335 (2023) - [c6]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 - [c5]Yuzhu Huang, Awad Abdelhalim, Anson F. Stewart, Jinhua Zhao, Haris N. Koutsopoulos:
Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. ITSC 2023: 5247-5253 - [i23]Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao:
Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach. CoRR abs/2301.00918 (2023) - [i22]Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao:
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. CoRR abs/2301.03802 (2023) - [i21]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) - [i20]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) - [i19]Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao:
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR abs/2303.05698 (2023) - [i18]Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun:
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. CoRR abs/2305.06480 (2023) - [i17]Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao:
Large Language Models for Travel Behavior Prediction. CoRR abs/2312.00819 (2023) - 2022
- [j10]Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti:
Estimating the Potential for Shared Autonomous Scooters. IEEE Trans. Intell. Transp. Syst. 23(5): 4651-4662 (2022) - [j9]Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao:
Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 23(6): 5106-5115 (2022) - [j8]Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Trans. Intell. Transp. Syst. 23(8): 12014-12026 (2022) - [j7]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) - [c4]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess's Paradox in Dynamic Traffic. ITSC 2022: 1018-1023 - [c3]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 - [i16]Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao:
Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. CoRR abs/2201.01437 (2022) - [i15]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess Paradox in Dynamic Traffic. CoRR abs/2203.03726 (2022) - [i14]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
- [j6]Yan Leng, Jinhua Zhao, Haris N. Koutsopoulos:
Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data. ACM Trans. Manag. Inf. Syst. 12(3): 20:1-20:22 (2021) - [i13]Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. CoRR abs/2101.03996 (2021) - [i12]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) - [i11]Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Identifying Hidden Visits from Sparse Call Detail Record Data. CoRR abs/2106.12885 (2021) - [i10]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
- [i9]Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao:
Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. CoRR abs/2001.03196 (2020) - [i8]Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao:
Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. CoRR abs/2001.03197 (2020) - [i7]Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao:
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. CoRR abs/2004.04602 (2020) - [i6]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)
2010 – 2019
- 2019
- [j5]Hongmou Zhang, Jinhua Zhao:
Mobility Sharing as a Preference Matching Problem. IEEE Trans. Intell. Transp. Syst. 20(7): 2584-2592 (2019) - [c2]Saeid Saidi, Nigel H. M. Wilson, Haris N. Koutsopoulos, Jinhua Zhao:
Mesoscopic Modeling of Train Operations: Application to the MBTA Red Line. ITSC 2019: 98-103 - [i5]Shenhao Wang, Jinhua Zhao:
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. CoRR abs/1901.00227 (2019) - [i4]Shenhao Wang, Jinhua Zhao:
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. CoRR abs/1909.07481 (2019) - 2018
- [j4]Gabriel Goulet-Langlois, Haris N. Koutsopoulos, Zhan Zhao, Jinhua Zhao:
Measuring Regularity of Individual Travel Patterns. IEEE Trans. Intell. Transp. Syst. 19(5): 1583-1592 (2018) - [i3]Yan Leng, Haris N. Koutsopoulos, Jinhua Zhao:
Profiling presence patterns and segmenting user locations from cell phone data. CoRR abs/1805.12208 (2018) - [i2]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) - 2017
- [c1]Jian Wen, Jinhua Zhao, Patrick Jaillet:
Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. ITSC 2017: 220-225 - 2016
- [j3]Aidan O'Sullivan, Francisco C. Pereira, Jinhua Zhao, Harilaos N. Koutsopoulos:
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. IEEE Trans. Intell. Transp. Syst. 17(11): 3286-3296 (2016) - [i1]Yan Leng, Larry Rudolph, Alex Pentland, Jinhua Zhao, Haris N. Koutsopoulos:
Managing travel demand: Location recommendation for system efficiency based on mobile phone data. CoRR abs/1610.06825 (2016) - 2011
- [j2]Yueying Huo, Wenquan Li, Jinhua Zhao, Shoulin Zhu:
Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability. Int. J. Comput. Intell. Syst. 4(3): 370-377 (2011)
2000 – 2009
- 2007
- [j1]Jinhua Zhao, Adam Rahbee, Nigel H. M. Wilson:
Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. Comput. Aided Civ. Infrastructure Eng. 22(5): 376-387 (2007)
Coauthor Index
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