Publications
Refereed Journal Articles
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2026Jia, S., Wong, S. C., & Wong, W. (2026). Network-wide adaptive signal control with partial connectivity: A stochastic optimization model for uncertain vehicle locations. Transportation Research Part B: Methodological, 206, 103413.
@article{shaocheng2026network, title = {Network-wide adaptive signal control with partial connectivity: A stochastic optimization model for uncertain vehicle locations}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {Transportation Research Part B: Methodological}, volume = {206}, pages = {103413}, year = {2026}, doi = {https://doi.org/10.1016/j.trb.2026.103413}, publisher = {Elsevier} } -
2026Yu, D., Qu, A., You, J., Wang, D., Li, R., Jia, S. *, & Pei, X. *. (2026). Which2comm: An Efficient Collaborative Perception Framework with Connected and Automated Vehicles. Communications in Transportation Research.
@article{yu2026which2comm, title = {Which2comm: An Efficient Collaborative Perception Framework with Connected and Automated Vehicles}, author = {Yu, Duanrui and Qu, Anqi and You, Jing and Wang, Dingyu and Li, Rongsong and Jia, Shaocheng * and Pei, Xin *}, journal = {Communications in Transportation Research}, year = {2026}, doi = {10.26599/COMMTR.2026.9640048}, publisher = {清华大学出版社} } -
2025Jia, S., Wong, S. C., & Wong, W. (2025). Real-time vehicle location estimation in signalized networks using partial connected vehicle trajectory data. Transportation Research Part B: Methodological, 200, 103292.
@article{jia2025real, title = {Real-time vehicle location estimation in signalized networks using partial connected vehicle trajectory data}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {Transportation Research Part B: Methodological}, volume = {200}, pages = {103292}, year = {2025}, doi = {https://doi.org/10.1016/j.trb.2025.103292}, publisher = {Elsevier} } -
2025Jia, S., Wong, S. C., & Wong, W. (2025). Adaptive signal control at partially connected intersections: A stochastic optimization model for uncertain vehicle arrival rates. Transportation Research Part B: Methodological, 193, 103161.
@article{shaocheng2025adaptive, title = {Adaptive signal control at partially connected intersections: A stochastic optimization model for uncertain vehicle arrival rates}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {Transportation Research Part B: Methodological}, volume = {193}, pages = {103161}, year = {2025}, doi = {https://doi.org/10.1016/j.trb.2025.103161}, publisher = {Elsevier} } -
2025Jia, S., Wong, S. C., & Wong, W. (2025). Estimating real-time traffic state of holding vehicles at signalized intersections using partial connected vehicle trajectory data. Transportation Research Part C: Emerging Technologies, 178, 105251.
@article{jia2025estimating, title = {Estimating real-time traffic state of holding vehicles at signalized intersections using partial connected vehicle trajectory data}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {Transportation Research Part C: Emerging Technologies}, volume = {178}, pages = {105251}, year = {2025}, doi = {10.1016/j.trc.2025.105251}, publisher = {Elsevier} } -
2024Jia, S., Wong, S. C., & Wong, W. (2024). Modeling residual-vehicle effects on uncertainty estimation of the connected vehicle penetration rate. The 25th International Symposium on Transportation and Traffic Theory (ISTTT25) and Transportation Research Part C: Emerging Technologies, 168, 104825.
@article{jia2024modeling, title = {Modeling residual-vehicle effects on uncertainty estimation of the connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {The 25th International Symposium on Transportation and Traffic Theory (ISTTT25) and Transportation Research Part C: Emerging Technologies}, volume = {168}, pages = {104825}, year = {2024}, doi = {10.1016/j.trc.2024.104825}, publisher = {Elsevier} } -
2024Jia, S., & Yao, W. (2024). Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception. International Journal of Applied Earth Observation and Geoinformation, 128, 103753.
@article{jia2024self, title = {Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception}, author = {Jia, Shaocheng and Yao, Wei}, journal = {International Journal of Applied Earth Observation and Geoinformation}, volume = {128}, pages = {103753}, year = {2024}, doi = {10.1016/j.jag.2024.103753}, publisher = {Elsevier} } -
2023Jia, S., Wong, S. C., & Wong, W. (2023). Uncertainty estimation of connected vehicle penetration rate. Transportation Science, 57(5), 1160–1176.
@article{jia2023uncertainty, title = {Uncertainty estimation of connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, journal = {Transportation Science}, volume = {57}, number = {5}, pages = {1160--1176}, year = {2023}, doi = {https://doi.org/10.1287/trsc.2023.1209}, publisher = {INFORMS} } -
2023Jia, S., & Yao, W. (2023). Joint learning of frequency and spatial domains for dense image prediction. ISPRS Journal of Photogrammetry and Remote Sensing, 195, 14–28.
@article{jia2023joint, title = {Joint learning of frequency and spatial domains for dense image prediction}, author = {Jia, Shaocheng and Yao, Wei}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {195}, pages = {14--28}, year = {2023}, doi = {10.1016/j.isprsjprs.2022.11.001}, publisher = {Elsevier} } -
2023Wang, D., Jia, S. *, Pei, X. *, Han, C., Yao, D., & Liu, D. (2023). Dernet: Driver emotion recognition using onboard camera. IEEE Intelligent Transportation Systems Magazine, 16(2), 117–132.
@article{wang2023dernet, title = {Dernet: Driver emotion recognition using onboard camera}, author = {Wang, Dingyu and Jia, Shaocheng * and Pei, Xin * and Han, Chunyang and Yao, Danya and Liu, Dezhi}, journal = {IEEE Intelligent Transportation Systems Magazine}, volume = {16}, number = {2}, pages = {117--132}, year = {2023}, doi = {10.1109/MITS.2023.3333882}, publisher = {IEEE} } -
2023Li, R., Yang, Z., Pei, X., Yue, Y., Jia, S., Han, C., & He, Z. (2023). A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing. Transportation Research Part C: Emerging Technologies, 152, 104127.
@article{li2023novel, title = {A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing}, author = {Li, Rongsong and Yang, Zi and Pei, Xin and Yue, Yun and Jia, Shaocheng and Han, Chunyang and He, Zhengbing}, journal = {Transportation Research Part C: Emerging Technologies}, volume = {152}, pages = {104127}, year = {2023}, doi = {10.1016/j.trc.2023.104127}, publisher = {Elsevier} } -
2022Jia, S., Pei, X., Yao, W., & Wong, S. C. (2022). Self-supervised depth estimation leveraging global perception and geometric smoothness. IEEE Transactions on Intelligent Transportation Systems, 24(2), 1502–1517.
@article{jia2022self, title = {Self-supervised depth estimation leveraging global perception and geometric smoothness}, author = {Jia, Shaocheng and Pei, Xin and Yao, Wei and Wong, Sze Chun}, journal = {IEEE Transactions on Intelligent Transportation Systems}, volume = {24}, number = {2}, pages = {1502--1517}, year = {2022}, doi = {10.1109/TITS.2022.3219604}, publisher = {IEEE} } -
2022You, J., Jia, S., Pei, X., & Yao, D. (2022). Dmrvisnet: Deep multihead regression network for pixel-wise visibility estimation under foggy weather. IEEE Transactions on Intelligent Transportation Systems, 23(11), 22354–22366.
@article{you2022dmrvisnet, title = {Dmrvisnet: Deep multihead regression network for pixel-wise visibility estimation under foggy weather}, author = {You, Jing and Jia, Shaocheng and Pei, Xin and Yao, Danya}, journal = {IEEE Transactions on Intelligent Transportation Systems}, volume = {23}, number = {11}, pages = {22354--22366}, year = {2022}, doi = {10.1109/TITS.2022.3180229}, publisher = {IEEE} } -
2021Jia, S., Pei, X., Jing, X., & Yao, D. (2021). Self-supervised 3D reconstruction and ego-motion estimation via on-board monocular video. IEEE Transactions on Intelligent Transportation Systems, 23(7), 7557–7569.
@article{jia2021self, title = {Self-supervised 3D reconstruction and ego-motion estimation via on-board monocular video}, author = {Jia, Shaocheng and Pei, Xin and Jing, Xiao and Yao, Danya}, journal = {IEEE Transactions on Intelligent Transportation Systems}, volume = {23}, number = {7}, pages = {7557--7569}, year = {2021}, doi = {10.1109/TITS.2021.3071428}, publisher = {IEEE} } -
2020Jia, S., Pei, X., Yang, Z., Tian, S., & Yue, Y. (2020). Novel hybrid neural network for dense depth estimation using on-board monocular images. Transportation Research Record, 2674(12), 312–323.
@article{jia2020novel, title = {Novel hybrid neural network for dense depth estimation using on-board monocular images}, author = {Jia, Shaocheng and Pei, Xin and Yang, Zi and Tian, Shan and Yue, Yun}, journal = {Transportation research record}, volume = {2674}, number = {12}, pages = {312--323}, year = {2020}, doi = {https://doi.org/10.1177/0361198120954438}, publisher = {SAGE Publications Sage CA: Los Angeles, CA} }
Refereed Conference Proceedings
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2025Wang, D., Jia, S. *, & Pei, X. *. (2025). Efficient Estimation of Deep Learning-Based Vehicle Detection Error Distribution Leveraging Polynomial Chaos Expansion. CICTP 2025, 207–217.
@inproceedings{wang2025efficient, title = {Efficient Estimation of Deep Learning-Based Vehicle Detection Error Distribution Leveraging Polynomial Chaos Expansion}, author = {Wang, Dingyu and Jia, Shaocheng * and Pei, Xin *}, booktitle = {CICTP 2025}, pages = {207--217}, doi = {https://doi.org/10.1061/9780784486269.020}, year = {2025} } -
2024Ye, J., Wang, D., Jia, S. *, Pei, X. *, Yang, Z., Zhang, Y., & Wong, S. C. (2024). CVVLSNet: vehicle location and speed estimation using partial connected vehicle trajectory data. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 3739–3744.
@inproceedings{ye2024cvvlsnet, title = {CVVLSNet: vehicle location and speed estimation using partial connected vehicle trajectory data}, author = {Ye, Jiachen and Wang, Dingyu and Jia, Shaocheng * and Pei, Xin * and Yang, Zi and Zhang, Yi and Wong, Sze Chun}, booktitle = {2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)}, pages = {3739--3744}, year = {2024}, doi = {10.1109/ITSC58415.2024.10920266}, organization = {IEEE} } -
2024Zhang, X., Xue, Y. *, Jia, S. *, & Pei, X. (2024). Ccdepth: A lightweight self-supervised depth estimation network with enhanced interpretability. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 64–69.
@inproceedings{zhang2024ccdepth, title = {Ccdepth: A lightweight self-supervised depth estimation network with enhanced interpretability}, author = {Zhang, Xi and Xue, Yaru * and Jia, Shaocheng * and Pei, Xin}, booktitle = {2024 IEEE 27th international conference on intelligent transportation systems (ITSC)}, pages = {64--69}, year = {2024}, doi = {10.1109/ITSC58415.2024.10919195}, organization = {IEEE} } -
2024Jia, S., Wong, S. C., & Wong, W. (2024). Modeling residual-vehicle effects in undersaturation conditions on uncertainty estimation of the connected vehicle penetration rate. The 25th International Symposium on Transportation and Traffic Theory, 15–17.
@inproceedings{jia2024modelinh, title = {Modeling residual-vehicle effects in undersaturation conditions on uncertainty estimation of the connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, SC and Wong, Wai}, booktitle = {the 25th International Symposium on Transportation and Traffic Theory}, pages = {15--17}, doi = {https://limos.engin.umich.edu/isttt25/wp-content/uploads/sites/3/sites/4/2024/06/ISTTT25-proceedings-041-min.pdf}, year = {2024} } -
2024Li, D., Jia, S. *, Pei, X. *, & Yao, D. (2024). Automatic Pavement Distress Detection Using a Semantics-Aided Deep Learning Method. CICTP 2024, 2966–2975.
@inproceedings{li2024automatic, title = {Automatic Pavement Distress Detection Using a Semantics-Aided Deep Learning Method}, author = {Li, Dongtai and Jia, Shaocheng * and Pei, Xin * and Yao, Danya}, booktitle = {CICTP 2024}, pages = {2966--2975}, doi = {https://doi.org/10.1061/9780784485484.280}, year = {2024} } -
2023Jia, S., Cai, Y., Pei, X., Yang, Z., Wong, W., & Wong, S. C. (2023). Exploitation of string stability to predict disturbance-triggered platoon collisions in mixed traffic comprising automated and conventional vehicles. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 121–126.
@inproceedings{jia2023exploitation, title = {Exploitation of string stability to predict disturbance-triggered platoon collisions in mixed traffic comprising automated and conventional vehicles}, author = {Jia, Shaocheng and Cai, Yuzhe and Pei, Xin and Yang, Zi and Wong, Wai and Wong, Sze Chun}, booktitle = {2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, pages = {121--126}, year = {2023}, doi = {10.1109/ITSC57777.2023.10421906}, organization = {IEEE} } -
2021Weng, P., Jia, S., Pei, X., & Yue, Y. (2021). Bayes neural network with a novel pictorial feature for transportation mode recognition based on gps trajectories. CICTP 2021, 1635–1645.
@inproceedings{weng2021bayes, title = {Bayes neural network with a novel pictorial feature for transportation mode recognition based on gps trajectories}, author = {Weng, Peng and Jia, Shaocheng and Pei, Xin and Yue, Yun}, booktitle = {CICTP 2021}, pages = {1635--1645}, doi = {https://doi.org/10.1061/9780784483565.158}, year = {2021} } -
2020Jia, S., Yue, Y., Yang, Z., Pei, X., & Wang, Y. (2020). Travelling modes recognition via bayes neural network with bayes by backprop algorithm. CICTP 2020, 3994–4004.
@inproceedings{jia2020travelling, title = {Travelling modes recognition via bayes neural network with bayes by backprop algorithm}, author = {Jia, Shaocheng and Yue, Yun and Yang, Zi and Pei, Xin and Wang, Yashen}, booktitle = {CICTP 2020}, pages = {3994--4004}, doi = {https://doi.org/10.1061/9780784482933.343}, year = {2020} } -
2019Jia, S., Yue, Y., Yang, Z., Pei, X., & Lu, Y. (2019). A novel approach to reveal travel patterns of city residents based on mobile internet locating data. CICTP 2019, 6146–6156.
@inproceedings{jia2019novel, title = {A novel approach to reveal travel patterns of city residents based on mobile internet locating data}, author = {Jia, Shaocheng and Yue, Yun and Yang, Zi and Pei, Xin and Lu, Yao}, booktitle = {CICTP 2019}, pages = {6146--6156}, doi = {https://doi.org/10.1061/9780784482292.527}, year = {2019} }
Refereed Conference Presentations
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2026Jia, S., Wong, S. C., & Wong, W. (2026). Uncertainty estimation of connected vehicle penetration rate. The 17th International Workshop on Computational Transportation Science (CTS).
@misc{pre1, title = {Uncertainty estimation of connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, howpublished = {The 17th International Workshop on Computational Transportation Science (CTS)}, category = {presentation}, year = {2026} } -
2024Jia, S., Wong, S. C., Wong, W., & Pei, X. (2024). Real-time estimation of residual vehicles at a signalized intersection via partial connected vehicles. The 28th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre2, title = {Real-time estimation of residual vehicles at a signalized intersection via partial connected vehicles}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai and Pei, Xin}, howpublished = {The 28th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2024} } -
2023Jia, S., Wong, S. C., & Wong, W. (2023). Residual vehicle effects on variability estimation of connected vehicle penetration rate. The 9th International Symposium on Transport Network Resilience (INSTR).
@misc{pre3, title = {Residual vehicle effects on variability estimation of connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, howpublished = {The 9th International Symposium on Transport Network Resilience (INSTR)}, category = {presentation}, year = {2023} } -
2023You, J., Jia, S., Pei, X., & Yao, D. (2023). Deep learning-based pixel-wise visibility estimation under foggy weather. The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre4, title = {Deep learning-based pixel-wise visibility estimation under foggy weather}, author = {You, Jing and Jia, Shaocheng and Pei, Xin and Yao, Danya}, howpublished = {The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2023} } -
2023Li, D., Jia, S. *, Han, C., Pei, X. *, & Yao, D. (2023). A novel driving risk assessment method based on collision probability estimation. The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre5, title = {A novel driving risk assessment method based on collision probability estimation}, author = {Li, Dongtai and Jia, Shaocheng * and Han, Chunyang and Pei, Xin * and Yao, Danya}, howpublished = {The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2023} } -
2023Jia, S., Cai, Y., Pei, X., Yang, Z., Wong, W., & Wong, S. C. (2023). Prediction of disturbance-triggered platoon collisions in mixed traffic comprising automated and human-driven vehicles leveraging string stability analysis. The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre6, title = {Prediction of disturbance-triggered platoon collisions in mixed traffic comprising automated and human-driven vehicles leveraging string stability analysis}, author = {Jia, Shaocheng and Cai, Yuzhe and Pei, Xin and Yang, Zi and Wong, Wai and Wong, Sze Chun}, howpublished = {The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2023} } -
2023Wang, D., Jia, S. *, Pei, X. *, Han, C., & Yao, D. (2023). DERNet: driver emotion recognition using on-board camera. The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre7, title = {DERNet: driver emotion recognition using on-board camera}, author = {Wang, Dingyu and Jia, Shaocheng * and Pei, Xin * and Han, Chunyang and Yao, Danya}, howpublished = {The 27th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2023} } -
2022Li, R., Yue, Y., Jia, S., Han, C., & Pei, X. (2022). A novel gps point-based transportation modes identification method for gps trajectories using pointnet. The 101st Transportation Research Board (TRB) Annual Meeting.
@misc{pre8, title = {A novel gps point-based transportation modes identification method for gps trajectories using pointnet}, author = {Li, Rongsong and Yue, Yun and Jia, Shaocheng and Han, Chunyang and Pei, Xin}, howpublished = {The 101st Transportation Research Board (TRB) Annual Meeting}, category = {presentation}, year = {2022} } -
2022Jia, S., Wong, S. C., & Wong, W. (2022). Uncertainty estimation of connected vehicle penetration rate. The 26th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre9, title = {Uncertainty estimation of connected vehicle penetration rate}, author = {Jia, Shaocheng and Wong, Sze Chun and Wong, Wai}, howpublished = {The 26th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2022} } -
2021Jia, S., Pei, X., Yao, W., & Wong, S. C. (2021). Self-supervised depth estimation leveraging global perception and geometric smoothness using on-board videos. The 25th International Conference of Hong Kong Society for Transportation Studies (HKSTS).
@misc{pre10, title = {Self-supervised depth estimation leveraging global perception and geometric smoothness using on-board videos}, author = {Jia, Shaocheng and Pei, Xin and Yao, Wei and Wong, Sze Chun}, howpublished = {The 25th International Conference of Hong Kong Society for Transportation Studies (HKSTS)}, category = {presentation}, year = {2021} } -
2020Jia, S., Pei, X., Yang, Z., Tian, S., & Yue, Y. (2020). Novel hybrid neural network for dense depth estimation using on-board monocular images. The 99th Transportation Research Board (TRB) Annual Meeting.
@misc{pre11, title = {Novel hybrid neural network for dense depth estimation using on-board monocular images}, author = {Jia, Shaocheng and Pei, Xin and Yang, Zi and Tian, Shan and Yue, Yun}, howpublished = {The 99th Transportation Research Board (TRB) Annual Meeting}, category = {presentation}, year = {2020} }
Patents
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2026Mei, Z., Huang, S., Chen, X., Xia, Y., & Jia, S. (2026). A layout method for unmanned aerial vehicle transfer stations based on topological optimization, CN122198829B.
@misc{patent1, title = {A layout method for unmanned aerial vehicle transfer stations based on topological optimization, CN122198829B}, author = {Mei, Zhaohao and Huang, Shimin and Chen, Xiqun and Xia, Yingji and Jia, Shaocheng}, category = {patent}, year = {2026} } -
2026Zhao, Z., Chen, X., Huang, S., Zhuo, Z., Jia, S., Cheng, Z., & Xia, Y. (2026). An airborne taxi multi-agent simulation method with the Double-DQN network, CN122311985B.
@misc{patent2, title = {An airborne taxi multi-agent simulation method with the Double-DQN network, CN122311985B}, author = {Zhao, Zhehan and Chen, Xiqun and Huang, Shimin and Zhuo, Zehao and Jia, Shaocheng and Cheng, Zhanhong and Xia, Yingji}, category = {patent}, year = {2026} } -
2026Huang, S., Chen, X., Xia, Y., & Jia, S. (2026). A method for emergency event simulation and response of unmanned aerial vehicles based on digital twin technology, CN122308412B.
@misc{patent3, title = {A method for emergency event simulation and response of unmanned aerial vehicles based on digital twin technology, CN122308412B}, author = {Huang, Shimin and Chen, Xiqun and Xia, Yingji and Jia, Shaocheng}, category = {patent}, year = {2026} } -
2025Pei, X., Yue, Y., Li, D., Jia, S., You, J., & Weng, P. (2025). Abnormal driving behavior detection method, training method, device, and storage medium, CN114299433B.
@misc{patent4, title = {Abnormal driving behavior detection method, training method, device, and storage medium, CN114299433B}, author = {Pei, Xin and Yue, Yun and Li, Dongtai and Jia, Shaocheng and You, Jing and Weng, Peng}, category = {patent}, year = {2025} } -
2024Pei, X., Hu, J., You, J., Jia, S., & Yue, Y. (2024). A deep learning method and system for visibility estimation under foggy weather, CN113469912B.
@misc{patent5, title = {A deep learning method and system for visibility estimation under foggy weather, CN113469912B}, author = {Pei, Xin and Hu, Jianming and You, Jing and Jia, Shaocheng and Yue, Yun}, category = {patent}, year = {2024} } -
2024Pei, X., Hu, J., Li, R., Yue, Y., Han, C., & Jia, S. (2024). A transportation mode identification method and device using trajectory data based on the improved PointNet, CN114241238B.
@misc{patent6, title = {A transportation mode identification method and device using trajectory data based on the improved PointNet, CN114241238B}, author = {Pei, Xin and Hu, Jianming and Li, Rongsong and Yue, Yun and Han, Chunyang and Jia, Shaocheng}, category = {patent}, year = {2024} } -
2023Pei, X., Yue, Y., Jia, S., Hu, J., & Li, L. (2023). Depth estimation-based method and device for driving visibility estimation, CN111627056B.
@misc{patent7, title = {Depth estimation-based method and device for driving visibility estimation, CN111627056B}, author = {Pei, Xin and Yue, Yun and Jia, Shaocheng and Hu, Jianming and Li, Li}, category = {patent}, year = {2023} } -
2022Pei, X., Hu, J., Jia, S., Tian, S., Yang, Z., & Yue, Y. (2022). A dense depth estimation method based on monocular imagery, CN110956655B.
@misc{patent8, title = {A dense depth estimation method based on monocular imagery, CN110956655B}, author = {Pei, Xin and Hu, Jianming and Jia, Shaocheng and Tian, Shan and Yang, Zi and Yue, Yun}, category = {patent}, year = {2022} } -
2022Pei, X., Hu, J., Jia, S., Yue, Y., Li, L., & Jiang, Y. (2022). A transportation mode recognition method based on Bayesian neural network, CN111310833A.
@misc{patent9, title = {A transportation mode recognition method based on Bayesian neural network, CN111310833A}, author = {Pei, Xin and Hu, Jianming and Jia, Shaocheng and Yue, Yun and Li, Li and Jiang, Yinan}, category = {patent}, year = {2022} }
Theses
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2025Jia, S. (2025). Uncertainty in connected vehicle penetration rate estimation: advanced modeling and applications for traffic signal optimization. Ph.D. thesis, The University of Hong Kong.
@misc{thesis1, title = {Uncertainty in connected vehicle penetration rate estimation: advanced modeling and applications for traffic signal optimization}, author = {Jia, Shaocheng}, howpublished = {Ph.D. thesis, The University of Hong Kong}, year = {2025}, category = {thesis}, url = {https://hub.hku.hk/handle/10722/355606} } -
2021Jia, S. (2021). Driving environment reconstruction and its application based on monocular camera. Master thesis, Tsinghua University.
@misc{thesis2, title = {Driving environment reconstruction and its application based on monocular camera}, author = {Jia, Shaocheng}, howpublished = {Master thesis, Tsinghua University}, category = {thesis}, year = {2021} } -
2018Jia, S. (2018). On the training sequence-based timing synchronization algorithm. Bachelor thesis, China University of Petroleum (Beijing).
@misc{thesis3, title = {On the training sequence-based timing synchronization algorithm.}, author = {Jia, Shaocheng}, howpublished = {Bachelor thesis, China University of Petroleum (Beijing)}, category = {thesis}, year = {2018} }