ESC

Publications

Refereed Journal Articles

  1. 2026
    Jia, 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.
    DOI
    @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}
    }
    
  2. 2026
    Yu, 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.
    DOI
    @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}
    }
    
  3. 2025
    Jia, 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.
    DOI
    @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}
    }
    
  4. 2025
    Jia, 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.
    DOI
    @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}
    }
    
  5. 2025
    Jia, 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.
    DOI
    @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}
    }
    
  6. 2024
    Jia, 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.
    DOI
    @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}
    }
    
  7. 2024
    Jia, 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.
    DOI
    @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}
    }
    
  8. 2023
    Jia, S., Wong, S. C., & Wong, W. (2023). Uncertainty estimation of connected vehicle penetration rate. Transportation Science, 57(5), 1160–1176.
    DOI
    @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}
    }
    
  9. 2023
    Jia, 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.
    DOI
    @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}
    }
    
  10. 2023
    Wang, 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.
    DOI
    @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}
    }
    
  11. 2023
    Li, 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.
    DOI
    @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}
    }
    
  12. 2022
    Jia, 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.
    DOI
    @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}
    }
    
  13. 2022
    You, 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.
    DOI
    @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}
    }
    
  14. 2021
    Jia, 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.
    DOI
    @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}
    }
    
  15. 2020
    Jia, 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.
    DOI
    @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

  1. 2025
    Wang, D., Jia, S. *, & Pei, X. *. (2025). Efficient Estimation of Deep Learning-Based Vehicle Detection Error Distribution Leveraging Polynomial Chaos Expansion. CICTP 2025, 207–217.
    DOI
    @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}
    }
    
  2. 2024
    Ye, 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.
    DOI
    @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}
    }
    
  3. 2024
    Zhang, 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.
    DOI
    @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}
    }
    
  4. 2024
    Jia, 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.
    DOI
    @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}
    }
    
  5. 2024
    Li, D., Jia, S. *, Pei, X. *, & Yao, D. (2024). Automatic Pavement Distress Detection Using a Semantics-Aided Deep Learning Method. CICTP 2024, 2966–2975.
    DOI
    @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}
    }
    
  6. 2023
    Jia, 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.
    DOI
    @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}
    }
    
  7. 2021
    Weng, 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.
    DOI
    @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}
    }
    
  8. 2020
    Jia, 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.
    DOI
    @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}
    }
    
  9. 2019
    Jia, 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.
    DOI
    @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

  1. 2026
    Jia, 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}
    }
    
  2. 2024
    Jia, 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}
    }
    
  3. 2023
    Jia, 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}
    }
    
  4. 2023
    You, 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}
    }
    
  5. 2023
    Li, 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}
    }
    
  6. 2023
    Jia, 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}
    }
    
  7. 2023
    Wang, 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}
    }
    
  8. 2022
    Li, 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}
    }
    
  9. 2022
    Jia, 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}
    }
    
  10. 2021
    Jia, 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}
    }
    
  11. 2020
    Jia, 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

  1. 2026
    Mei, 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}
    }
    
  2. 2026
    Zhao, 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}
    }
    
  3. 2026
    Huang, 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}
    }
    
  4. 2025
    Pei, 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}
    }
    
  5. 2024
    Pei, 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}
    }
    
  6. 2024
    Pei, 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}
    }
    
  7. 2023
    Pei, 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}
    }
    
  8. 2022
    Pei, 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}
    }
    
  9. 2022
    Pei, 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

  1. 2025
    Jia, 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.
    Link
    @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}
    }
    
  2. 2021
    Jia, 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}
    }
    
  3. 2018
    Jia, 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}
    }