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ORCIDJinhua Zhao
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2020 – today
- 2024
[j26]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)- [j25]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) - [i39]Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao:
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. CoRR abs/2401.00093 (2024) - [i38]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) - [i37]Xiaotong Guo, Jinhua Zhao:
Design of Transit-Centric Multimodal Urban Mobility System with Autonomous Mobility-on-Demand. CoRR abs/2404.05885 (2024) - [i36]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) - [i35]Xinyu Chen, HanQin Cai, Fuqiang Liu, Jinhua Zhao:
Correlating Time Series with Interpretable Convolutional Kernels. CoRR abs/2409.01362 (2024) - [i34]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) - 2023
- [j24]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) - [j23]Jinhua Zhao, Hongye Zhu, Lei Niu:
BiTNet: A lightweight object detection network for real-time classroom behavior recognition with transformer and bi-directional pyramid network. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101670 (2023) - [j22]Jinhua Zhao, Hongye Zhu:
CBPH-Net: A Small Object Detector for Behavior Recognition in Classroom Scenarios. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j21]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) - [c10]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 - [c9]Yuzhu Huang, Awad Abdelhalim, Anson Stewart, Jinhua Zhao, Haris N. Koutsopoulos:
Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data. ITSC 2023: 5247-5253 - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Yunhan Zheng, Qingyi Wang, Dingyi Zhuang, Shenhao Wang, Jinhua Zhao:
Fairness-enhancing deep learning for ride-hailing demand prediction. CoRR abs/2303.05698 (2023) - [i28]Xiaohan Wang, Zhan Zhao, Hongmou Zhang, Xiaotong Guo, Jinhua Zhao:
Quantifying the uneven efficiency benefits of ridesharing market integration. CoRR abs/2303.13520 (2023) - [i27]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) - [i26]Michael Leong, Awad Abdelhalim, Jude Ha, Dianne Patterson, Gabriel L. Pincus, Anthony B. Harris, Michael Eichler, Jinhua Zhao:
MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model. CoRR abs/2308.05012 (2023) - [i25]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
- [j20]Hervé Kerivin, Jinhua Zhao:
A computational study on the Maximum-Weight Bounded-Degree Rooted Tree Problem. Appl. Math. Comput. 413: 126623 (2022) - [j19]Xianjia Wang, Rui Ding, Jinhua Zhao, Cuiling Gu:
The rise and fall of cooperation in populations with multiple groups. Appl. Math. Comput. 413: 126624 (2022) - [j18]Hervé L. M. Kerivin, Jinhua Zhao:
Bounded-degree rooted tree and TDI-ness. RAIRO Oper. Res. 56(4): 2181-2201 (2022) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [c8]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess's Paradox in Dynamic Traffic. ITSC 2022: 1018-1023 - [c7]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 - [i24]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) - [i23]Dingyi Zhuang, Yuzhu Huang, Vindula Jayawardana, Jinhua Zhao, Dajiang Suo, Cathy Wu:
The Braess Paradox in Dynamic Traffic. CoRR abs/2203.03726 (2022) - [i22]Hongmou Zhang, Xiaotong Guo, Jinhua Zhao:
Economies and Diseconomies of Scale in Segmented Mobility Sharing Markets. CoRR abs/2204.02316 (2022) - [i21]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) - [i20]Awad Abdelhalim, Jinhua Zhao:
TranViT: An Integrated Vision Transformer Framework for Discrete Transit Travel Time Range Prediction. CoRR abs/2211.12322 (2022) - 2021
- [j13]Jinhua Zhao, Xianjia Wang, Lei Niu, Cuiling Gu:
Environmental feedback and cooperation in climate change dilemma. Appl. Math. Comput. 397: 125963 (2021) - [j12]Jinhua Zhao, Xianjia Wang, Cuiling Gu, Ying Qin:
Structural Heterogeneity and Evolutionary Dynamics on Complex Networks. Dyn. Games Appl. 11(3): 612-629 (2021) - [j11]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) - [i19]Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. CoRR abs/2101.03996 (2021) - [i18]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) - [i17]Dajiang Suo, Jinhua Zhao, Sanjay E. Sarma:
Proof of Travel for Trust-Based Data Validation in V2I Communication Part I: Methodology. CoRR abs/2104.05070 (2021) - [i16]Dajiang Suo, M. Elena Renda, Jinhua Zhao:
Quantifying the Tradeoff Between Cybersecurity and Location Privacy. CoRR abs/2105.01262 (2021) - [i15]Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao:
Identifying Hidden Visits from Sparse Call Detail Record Data. CoRR abs/2106.12885 (2021) - [i14]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
- [j10]Cuiling Gu, Xianjia Wang, Jinhua Zhao, Rui Ding, Qilong He:
Evolutionary game dynamics of Moran process with fuzzy payoffs and its application. Appl. Math. Comput. 378: 125227 (2020) - [i13]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) - [i12]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) - [i11]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) - [i10]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
- [j9]Hongmou Zhang, Jinhua Zhao:
Mobility Sharing as a Preference Matching Problem. IEEE Trans. Intell. Transp. Syst. 20(7): 2584-2592 (2019) - [j8]Yanyan Xu, Shan Jiang, Ruiqi Li, Jiang Zhang, Jinhua Zhao, Sofiane Abbar, Marta C. González:
Unraveling environmental justice in ambient PM2.5 exposure in Beijing: A big data approach. Comput. Environ. Urban Syst. 75: 12-21 (2019) - [c6]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 - [i9]Shenhao Wang, Jinhua Zhao:
Multitask Learning Deep Neural Network to Combine Revealed and Stated Preference Data. CoRR abs/1901.00227 (2019) - [i8]Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti:
Estimating the potential for shared autonomous scooters. CoRR abs/1909.03679 (2019) - [i7]Shenhao Wang, Jinhua Zhao:
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions. CoRR abs/1909.07481 (2019) - 2018
- [j7]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) - [i6]Yan Leng, Haris N. Koutsopoulos, Jinhua Zhao:
Profiling presence patterns and segmenting user locations from cell phone data. CoRR abs/1805.12208 (2018) - [i5]Xiaojiang Li, Bill Yang Cai, Waishan Qiu, Jinhua Zhao, Carlo Ratti:
A novel method for predicting and mapping the presence of sun glare using Google Street View. CoRR abs/1808.04436 (2018) - [i4]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
- [c5]Jian Wen, Jinhua Zhao, Patrick Jaillet:
Rebalancing shared mobility-on-demand systems: A reinforcement learning approach. ITSC 2017: 220-225 - 2016
- [j6]Siqi Lu, Jinhua Zhao, Qingfeng Cheng:
Cryptanalysis and improvement of an efficient authenticated key exchange protocol with tight security reduction. Int. J. Commun. Syst. 29(3): 567-578 (2016) - [j5]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) - [c4]Qiang Huang, Dehua Zhang, Le Chang, Jinhua Zhao:
Building Root of Trust for Report with Virtual AIK and Virtual PCR Usage for Cloud. SpaCCS 2016: 333-342 - [i3]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) - 2014
- [c3]Hervé Kerivin, Jinhua Zhao:
Polyhedral study for the maximum bounded r-tree problem. CoDIT 2014: 140-145 - [i2]Yujuan Li, Jinhua Zhao, Huaifu Wang:
On the Primitivity of Trinomials over Small Finite Fields. IACR Cryptol. ePrint Arch. 2014: 659 (2014) - 2013
- [i1]Yujuan Li, Huaifu Wang, Jinhua Zhao:
On the Primitivity of some Trinomials over Finite Fields. IACR Cryptol. ePrint Arch. 2013: 252 (2013) - 2011
- [j4]Xuandong Li, Xiaokang Qiu, Linzhang Wang, Xin Chen, Zhou Zhou, Liqian Yu, Jinhua Zhao:
UML interaction model-driven runtime verification of Java programs. IET Softw. 5(2): 142-156 (2011) - [j3]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
- [j2]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) - [j1]Subir Bose, Jinhua Zhao:
Optimal use of correlated information in mechanism design when full surplus extraction may be impossible. J. Econ. Theory 135(1): 357-381 (2007) - [c2]Zhenguo Gao, Sheng Liu, Mei Yang, Jinhua Zhao, Jiguang Song:
A Generic Minimum Dominating Forward Node Set Based Service Discovery Protocol for MANETs. HPCC 2007: 634-646 - [c1]Zhenguo Gao, Sheng Liu, Ming Ji, Jinhua Zhao, Lihua Liang:
FTSCP: An Efficient Distributed Fault-Tolerant Service Composition Protocol for MANETs. HPCC 2007: 797-808
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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