Jinhua Zhao - RankMe

89 papers A* 2Journal 77Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating High-Capacity Ridepooling in Robo-Taxi Systems. IEEE Robotics Autom. Lett. Xinling Li, Daniele Gammelli, Alex Wallar, Jinhua Zhao, Gioele Zardini
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	J	`jnl`	Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. IEEE Trans. Robotics Xinling Li, Meshal Alharbi, Daniele Gammelli, James Harrison, Filipe Rodrigues, Maximilian Schiffer, Marco Pavone, Emilio Frazzoli, Jinhua Zhao, Gioele Zardini
2026	J	`jnl`	Risk-Controllable Multi-View Diffusion for Driving Scenario Generation. CoRR Hongyi Lin, Wenxiu Shi, Heye Huang, Dingyi Zhuang, Song Zhang, Yang Liu, Xiaobo Qu, Jinhua Zhao
2025	J	`jnl`	AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library. CoRR 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
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`	ClassMind: Scaling Classroom Observation and Instructional Feedback with Multimodal AI. CoRR Ao Qu, Yuxi Wen, Jiayi Zhang, Yunge Wen, Yibo Zhao, Alok Prakash, Andrés F. Salazar-Gómez, Paul Pu Liang, Jinhua Zhao
2025	J	`jnl`	Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation. CoRR Riccardo Fiorista, Awad Abdelhalim, Anson F. Stewart, Gabriel L. Pincus, Ian Thistle, Jinhua Zhao
2025	J	`jnl`	Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery. Public Transp. Awad Abdelhalim, Jinhua Zhao
2025	J	`jnl`	Correlating Time Series With Interpretable Convolutional Kernels. IEEE Trans. Knowl. Data Eng. Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao
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	J	`jnl`	Deploying Robust Decision Support Systems for Transit Headway Control: Rider Impacts, Human Factors and Recommendations for Scalability. CoRR Joseph Rodriguez, Haris N. Koutsopoulos, Jinhua Zhao
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	J	`jnl`	From Street Views to Urban Science: Discovering Road Safety Factors with Multimodal Large Language Models. CoRR Yihong Tang, Ao Qu, Xujing Yu, Weipeng Deng, Jun Ma, Jinhua Zhao, Lijun Sun
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`	HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks. CoRR Chance Jiajie Li, Zhenze Mo, Yuhan Tang, Ao Qu, Jiayi Wu, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Hang Jiang, Paul Liang, Jinhua Zhao, Luis Alberto Alonso Pastor, Kent Larson
2025	J	`jnl`	Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty. Transp. Sci. Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2025	J	`jnl`	Interpretable Time Series Autoregression for Periodicity Quantification. CoRR Xinyu Chen, Vassilis Digalakis Jr, Lijun Ding, Dingyi Zhuang, Jinhua Zhao
2025	J	`jnl`	Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge. CoRR Yuhang Wang, Heye Huang, Zhenhua Xu, Kailai Sun, Baoshen Guo, Jinhua Zhao
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	J	`jnl`	MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents. CoRR Zijian Zhou, Ao Qu, Zhaoxuan Wu, Sunghwan Kim, Alok Prakash, Daniela Rus, Jinhua Zhao, Bryan Kian Hsiang Low, Paul Pu Liang
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`	Position: Simulating Society Requires Simulating Thought. CoRR Chance Jiajie Li, Jiayi Wu, Zhenze Mo, Ao Qu, Yuhan Tang, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Jinhua Zhao, Paul Liang, Luis Alonso, Kent Larson
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	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`	Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. CoRR Xinling Li, Meshal Alharbi, Daniele Gammelli, James Harrison, Filipe Rodrigues, Maximilian Schiffer, Marco Pavone, Emilio Frazzoli, Jinhua Zhao, Gioele Zardini
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
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`	Correlating Time Series with Interpretable Convolutional Kernels. CoRR Xinyu Chen, HanQin Cai, Fuqiang Liu, 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	—	`conf`	ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning. EMNLP (Industry Track) Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Zhaofeng Wu, Dingyi Zhuang, Jushi Kai, Kebing Hou, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma
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`	Synergizing Spatial Optimization with Large Language Models for Open-Domain Urban Itinerary Planning. CoRR Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, Wei Ma
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`	Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach. CoRR Baichuan Mo, Li Jin, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2023	J	`jnl`	Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. Transp. Sci. Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
2023	J	`jnl`	Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao
2023	J	`jnl`	Large Language Models for Travel Behavior Prediction. CoRR Baichuan Mo, Hanyong Xu, Dingyi Zhuang, Ruoyun Ma, Xiaotong Guo, Jinhua Zhao
2023	J	`jnl`	MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model. CoRR Michael Leong, Awad Abdelhalim, Jude Ha, Dianne Patterson, Gabriel L. Pincus, Anthony B. Harris, Michael Eichler, Jinhua Zhao
2023	J	`jnl`	Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. CoRR Baichuan Mo, Qing Yi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
2023	J	`jnl`	Proof of Travel for Trust-Based Data Validation in V2I Communication. IEEE Internet Things J. Dajiang Suo, Baichuan Mo, Jinhua Zhao, Sanjay E. Sarma
2023	—	`conf`	Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. ITSC Yuzhu Huang, Awad Abdelhalim, Anson F. Stewart, Jinhua Zhao, Haris N. Koutsopoulos
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`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. CoRR Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun
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`	Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. Peyman Noursalehi, Haris N. Koutsopoulos, Jinhua Zhao
2022	J	`jnl`	Estimating the Potential for Shared Autonomous Scooters. IEEE Trans. Intell. Transp. Syst. Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti
2022	J	`jnl`	Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. IEEE Trans. Intell. Transp. Syst. Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
2022	J	`jnl`	Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. CoRR Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen, Jinhua Zhao
2022	J	`jnl`	The Braess Paradox in Dynamic Traffic. CoRR Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	—	`conf`	The Braess's Paradox in Dynamic Traffic. ITSC Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu
2022	J	`jnl`	TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction. CoRR Awad Abdelhalim, Jinhua Zhao
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`	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`	Identifying Hidden Visits from Sparse Call Detail Record Data. CoRR Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
2021	J	`jnl`	Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. CoRR Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
2021	J	`jnl`	Leveraging Individual and Collective Regularity to Profile and Segment User Locations from Mobile Phone Data. ACM Trans. Manag. Inf. Syst. Yan Leng, Jinhua Zhao, Haris N. Koutsopoulos
2020	J	`jnl`	Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. CoRR Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
2020	J	`jnl`	Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. CoRR Baichuan Mo, Zhejing Cao, Hongmou Zhang, Yu Shen, Jinhua Zhao
2020	J	`jnl`	Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. CoRR Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao
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`	Estimating the potential for shared autonomous scooters. CoRR Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti
2019	—	`conf`	Mesoscopic Modeling of Train Operations: Application to the MBTA Red Line. ITSC Saeid Saidi, Nigel H. M. Wilson, Haris N. Koutsopoulos, Jinhua Zhao
2019	J	`jnl`	Mobility Sharing as a Preference Matching Problem. IEEE Trans. Intell. Transp. Syst. Hongmou Zhang, 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`	Measuring Regularity of Individual Travel Patterns. IEEE Trans. Intell. Transp. Syst. Gabriel Goulet-Langlois, Haris N. Koutsopoulos, Zhan Zhao, Jinhua Zhao
2018	J	`jnl`	Profiling presence patterns and segmenting user locations from cell phone data. CoRR Yan Leng, Haris N. Koutsopoulos, 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
2017	—	`conf`	Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. ITSC Jian Wen, Jinhua Zhao, Patrick Jaillet
2016	J	`jnl`	Managing travel demand: Location recommendation for system efficiency based on mobile phone data. CoRR Yan Leng, Larry Rudolph, Alex Pentland, Jinhua Zhao, Haris N. Koutsopoulos
2016	J	`jnl`	Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach. IEEE Trans. Intell. Transp. Syst. Aidan O'Sullivan, Francisco C. Pereira, Jinhua Zhao, Harilaos N. Koutsopoulos
2011	J	`jnl`	Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability. Int. J. Comput. Intell. Syst. Yueying Huo, Wenquan Li, Jinhua Zhao, Shoulin Zhu
2007	J	`jnl`	Estimating a Rail Passenger Trip Origin-Destination Matrix Using Automatic Data Collection Systems. Comput. Aided Civ. Infrastructure Eng. Jinhua Zhao, Adam Rahbee, Nigel H. M. Wilson