叶韫，男，宁波大学海运学院副教授，博士生导师，硕士生导师，英国伦敦大学学院时空大数据分析实验室客座讲师/研究员，英国伦敦帝国理工学院访问学者。入选浙江省科协青年人才托举培养项目、宁波市甬江人才工程青年创新人才项目、宁波市拔尖人才、宁波大学包玉刚青年拔尖人才等人才计划，荣获欧盟地平线项目玛丽居里行动卓越印章、香港大学李兆基奖学金（Lee Shau Kee Postgraduate Fellowship）和香港大学百年土木未来学者等荣誉。2013-2021年，先后在浙江大学和香港大学学习和研究，获得工学学士和博士学位，聚焦人因机理与风险决策、交通系统安全分析、智能交通行为建模等方向。以第一作者或通讯作者身份在SCI/SSCI/EI收录期刊发表论文多篇，研究成果发表于《Analytic Methods in Accident Research》、《IEEE Transactions on Intelligent Transportation Systems》、《Reliability Engineering & System Safety》、《Transportation Research Part F: Traffic Psychology and Behaviour》、《Accident Analysis & Prevention》、《Safety Science》、《Travel Behaviour and Society》等交通安全与智能交通领域权威期刊。多次在中国智能交通年会、美国交通研究委员会（TRB）年会、IEEE智能交通系统年会、香港交通运输研究学会国际研讨会等国内外重要学术会议作报告。2021-2023 年，曾任华为技术有限公司 2012 实验室中央研究院和中央媒体技术研究所高级研究工程师，负责智慧交通系统仿真优化和华为终端计算摄影关键技术研发。主持国家自然科学基金青年科学基金项目（C类）、浙江省自然科学基金项目、浙江省本科省级教学改革项目、宁波市甬江人才工程项目、宁波市自然科学基金项目、华为技术有限公司技术课题等科研与教改项目，参与国家自然科学基金、香港研究资助局（RGC）面上项目及U21大学联盟等多项课题。现为中国人工智能学会会员、浙江省人工智能学会智能交通分会青年委员、宁波市科技局专家库成员、IEEE会员、IEEE智能交通系统学会会员及IEEE车载技术学会会员，担任20余个SCI/SSCI期刊与国际会议审稿专家。

更多课题组详情见：交通安全与智能实验室(TSI Lab)

主要研究方向

• 虚拟现实实验
• 人因机理
• 交通安全
• 智能交通系统
• 数据与机理驱动建模

教育经历

• 2017.09-2021.12：博士，交通与运输工程，土木工程系，香港大学，中国香港
• 2013.09-2017.07: 学士，土木工程，建筑工程学院，浙江大学，中国杭州

工作经历

• 2023.03-至今：副教授，博士生导师，宁波大学，海运学院，中国宁波
• 2025.12-2026.06：客座讲师/研究员，时空大数据分析实验室，土木、环境与测绘工程系，伦敦大学学院，英国伦敦
• 2025.04-2026.04：访问学者，土木与环境学院，伦敦帝国理工学院，英国伦敦
• 2022.09-2023.02：高级工程师，中央媒体技术研究院，2012实验室，华为技术有限公司，中国深圳
• 2021.11-2022.09：高级工程师，中央研究院，2012实验室，华为技术有限公司，中国深圳
• 2016.07-2016.08：助理研究员，土木工程系，香港大学，中国香港

代表性论文

期刊论文

人因工程、虚拟现实与人机自动化交互

• Ye, Y., Wong, S.C.*, Li, Y.C., & Lau, Y.K. (2020). Risks to pedestrians in traffic systems with unfamiliar driving rules: A virtual reality approach. Accident Analysis & Prevention, 142, 105565. (SSCI, JCR Q1, IF 7.4)
• Ye, Y., Wong, S.C.*, Meng, F., & Xu, P. (2021). Right-looking habit and maladaptation of pedestrians in areas with unfamiliar driving rules. Accident Analysis & Prevention, 150, 105921. (SSCI, JCR Q1, IF 7.4)
• Ye, Y., Wong, S.C., Li, Y.C.*, & Choi, K.M. (2023). Crossing behaviors of drunk pedestrians unfamiliar with local traffic rules. Safety Science, 157, 105924. (SCI, JCR Q1, IF 6.2)
• Ye, Y., Zheng, P., Liang, H., Chen, X., Wong, S.C., & Xu, P.* (2024). Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning. Travel Behaviour and Society, 35, 100760. (SSCI, JCR Q1, IF 5.8)
• Ye, Y., Zhou, Z., Ying, C., Xie, J., Chen, X., & Gao, Z.* (2026). Risk-aware pedestrian-vehicle interaction: A multi-objective Bayesian optimized social force model. Transportmetrica A: Transport Science, 1-49. (SCI/SSCI, JCR Q2, IF 3.9)
• Che, Y., Wong, M.O., Gao, X., Liang, H., & Ye, Y.* (2026). Enhancing safety in automated ports: A virtual reality study of pedestrian–autonomous vehicle interactions under time pressure, visual constraints, and varying vehicle size. Transportation Research Interdisciplinary Perspectives, 37, 102041. (EI, ESCI, JCR Q2, IF 4.8)
• Ye, Y., Che, Y., Liang, H., Zhang, Y., & Xu, P. * (2026). Wait or cross? Understanding the influence of behavioral tendency, trust, and risk perception on pedestrian gap-acceptance of automated truck platoons. Transportation Research Part F: Traffic Psychology and Behaviour, 120, 103660. (SSCI, JCR Q1, IF 5.0)

海事安全、风险建模与港口韧性

• Ye, Y., Zheng, P., Wang, Q., Wong, S.C., & Xu, P.* (2025). Modeling economic loss associated with fishing vessel accidents: A Bayesian random-parameter generalized beta of the second kind model with heterogeneity in means. Analytic Methods in Accident Research, 46, 100384. (SSCI, JCR Q1, IF 10.7)
• Ye, Y., Zheng, P., Xu, P., Ren, Q., Yan, R., & Gao, X.* (2026). Varying effects of risk factors on economic losses from fishing vessel accidents: A Bayesian random-parameter quantile regression with heterogeneity in means. Reliability Engineering & System Safety, 266, 111690. (SCI, JCR Q1, IF 13.7)
• Ye, Y., Liu, M., Meng, F., Wong, S.C., Gao, X.*, & Yang, Z. (2026). Temporal instability analysis of fatal commercial fishing vessel incidents: A correlated random-parameter model with heterogeneity in means. Reliability Engineering & System Safety, 274, 112423. (SCI, JCR Q1, IF 13.7)
• Ye, Y.*, Liu, M., Liu, J., Zhu, K., Cheng, T., & Yang, Z. (2026). Bayesian spatio-temporal modeling of Arctic maritime incidents with integrated nested Laplace approximation. Reliability Engineering & System Safety, 275, 112864. (SCI, JCR Q1, IF 13.7)

AI赋能的交通与工程系统建模

• Ye, Y., Liang, H., Sun, J., & Chen, X.* (2025). Distance-informed Neural Eikonal Solver for reactive dynamic user-equilibrium of macroscopic continuum traffic flow model. IEEE Transactions on Intelligent Transportation Systems, 26(6), 8162-8177. (SCI, JCR Q1, IF 9.1)
• Zhou, Q., Chai, B., Guo, Y., Wu, H., Wang, K., & Ye, Y.* (2025). Feature Enhancement based Aero-Engine Lubricant Consumption Prediction: A BiTCN-BiGRU-Attention Approach. Alexandria Engineering Journal, 129, 137-167. (SCI, JCR Q1, IF 6.4)
• Zhou, Q., Chai, B., Tang, C., Guo, Y., Wang, K., Wu, W., Cao, B., & Ye, Y.* (2025). Enhancing multimodal fault diagnosis in mechanical systems via mixture of experts. Complex & Intelligent Systems, 11, 425. (SCI, JCR Q2, IF 4.5)
• Zhou, Q., Chai, B., Guo, Y., Li, T., Zhou, S., Wang, K., & Ye, Y.* (2025). Multimodal mechanical wear fault diagnosis: Fusion of signal characterization and image information. Results in Engineering, 28, 107204. (ESCI, JCR Q1, IF 9.4)
• Zhou, Q., Chai, B., Li, Y., Tang, C., Guo, Y., & Ye, Y.* (2026). A mixture-of-experts prior–posterior fusion framework for predicting the remaining useful life of aerospace high-speed bearings. Neurocomputing, 670, 132601. (SCI, JCR Q1, IF 6.7)
• Zhou, Q., Chai, B., Tang, C., Guo, Y., & Ye, Y.* (2026). Latent Diffusion Neural Fields for zero-shot and uncertainty-aware bearing remaining useful life prediction. Reliability Engineering & System Safety, 277, 113042. (SCI, JCR Q1, IF 13.7)

会议论文

• Li, H., You, L.*, Xie, J., Ye, Y., & Tan, X. (2025). SmartPL: An Integrated Approach for Platoons Driving on Mixed-Traffic Freeways. In International Conference on Neural Information Processing (pp. 357-372). Springer, Singapore.
• Ye, Y.*, Che, Y., & Liang, H. (2024). Exploring the Influence of Pedestrian Attitude, Propensity, and Risk Perception on Gap Acceptance Between Platooning Autonomous Trucks. In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3645-3650). IEEE.

会议报告

• Li, Z., Liang, H., & Ye, Y.* (2026, December 14-15). Credibility-aware learning for automated driving crash severity prediction: An audit-guided approach [Poster Presentation]. The 30th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2026), Hong Kong, China.
• Cao, S., Liang, H., & Ye, Y.* (2026, December 14-15). Understanding public acceptance of robotaxis in China: The roles of trust transfer and dual-process information processing [Poster Presentation]. The 30th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2026), Hong Kong, China.
• Miao, T., Liang, H., & Ye, Y.* (2025, December 8-9). B-TSE-PINN: Bayesian-enhanced physics-informed neural networks for uncertainty quantification in traffic states estimation [Oral Presentation]. The 29th International Conference of Hong Kong Society for Transportation Studies (HKSTS 2025), Hong Kong, China.
• Zhou, Z., Liang, H., & Ye, Y.* (2025, July 22-25). An improved social force model for pedestrian-vehicle interaction simulation [Poster Presentation]. The 25th COTA International Conference of Transportation Professionals (CICTP2025), Guangzhou, China.
• Li, Z., Che, Y., Zhou, Z., Liang, H., & Ye, Y.* (2025, July 22-25). Is eHMI always helpful? Investigating interference of eHMI on pedestrians interacting with autonomous vehicles on multi-lane streets: A virtual reality-based experiment [Poster Presentation]. The 25th COTA International Conference of Transportation Professionals (CICTP2025), Guangzhou, China.
• Ye, Y.*, Liang, H., Sun, J., & Chen, X. (2024, December 9-10). Distance-informed Neural Eikonal Solver for reactive dynamic user-equilibrium of macroscopic continuum traffic flow model [Poster Presentation]. The 28th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China.
• Li, H., You, L.*, Xie, J., Ye, Y., & Tan, X. (2024, December 2-6). SmartPL: An integrated approach for platoons driving on mixed-traffic freeways [Poster Presentation]. The 31st International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand. (CCF C, EI)
• Ye, Y.*, Che, Y., & Liang, H. (2024, September 24-27). Exploring the influence of pedestrian attitude, propensity, and risk perception on gap acceptance between platooning autonomous trucks [Poster Presentation]. The 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024), Edmonton, Canada. (EI)
• Liang, H.*, Ye, Y., & Sun, J. (2024, January 7-11). A micro-macro approach to modeling the flocking of crowd dynamics [Poster Presentation]. The 103rd Annual Meeting of Transportation Research Board, Washington DC, United States.
• Liang, H.*, Sun, J., & Ye, Y. (2023, December 11-12). Modeling the stochastic pedestrian fundamental diagram with explicit considerations of bidirectional conflict [Poster Presentation]. The 27th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China.
• Ye, Y.* (2019, December 14-16). Risks to pedestrians in traffic systems with unfamiliar driving rules [Oral Presentation]. The 24th International Conference of Hong Kong Society for Transportation Studies, Hong Kong, China.
• Ye, Y., & Chen, X.* (2018, January 7-11). Simulation-based optimization for time-of-day coordinated ramp metering of a large-scale urban expressway network [Poster Presentation]. The 97th Annual Meeting of Transportation Research Board, Washington DC, United States.
• 陈喜群*, 张帅超, 沈凯, 叶韫, 孙闻聪 (2016). 大数据驱动的动态交通分配仿真及实证研究. 第十一届中国智能交通年会论文集, 重庆, 2016年11月16-18 日. (优秀论文奖)

学术兼职

• 编辑
  • EAI Endorsed Transactions on Human-Computer Interaction
• 客座编辑
  • Special Issue: Next-Generation AI and Foundation Models for Transportation Systems, Future Transportation
• 期刊审稿专家
  • ACM Transactions on Knowledge Discovery from Data
  • Accident Analysis & Prevention
  • Advanced Engineering Informatics
  • Applied Soft Computing
  • Cybernetics & Systems
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Industrial Informatics
  • IET Image Processing
  • IET Intelligent Transportation Systems
  • International Journal of Human-Computer Interaction
  • JMIR Public Health and Surveillance
  • Journal of King Saud University Computer and Information Sciences
  • Journal of South China University of Technology (Natural Science Edition)
  • Journal of Transportation Safety & Security
  • Measurement
  • Neurocomputing
  • Nondestructive Testing and Evaluation
  • Reliability Engineering & System Safety
  • Ships and Offshore Structures
  • Traffic Injury Prevention
  • Transport Policy
  • Transportmetrica A: Transport Science
  • Travel Behaviour and Society
  • Transportation Research Interdisciplinary Perspectives
  • Transportation Research Part A: Policy and Practice
  • Transportation Research Part E: Logistics and Transportation Review
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • 华南理工大学学报(自然科学版)
• 会议审稿专家
  • IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC)
  • IEEE International Conference on Vehicular Electronics and Safety
  • IEEE Intelligent Vehicles Symposium
• 学术活动组织者
  • IEEE ITSC 2024 Workshop: Advanced Modeling, Evaluation, and Simulation of Interactions in Mixed Traffic Comprising Pedestrians, Automated Vehicles, and Human-driven Vehicles
• 学术组织会员
  • 中国人工智能学会会员
  • 浙江省人工智能学会智能交通分会青年委员
  • 宁波市科技局专家库成员
  • IEEE Member
  • IEEE Intelligent Transportation Systems Society Member
  • IEEE Vehicular Technology Society Member

通讯地址

浙江省宁波市北仑区梅山街道七星南路169号海运学院海运南楼，邮编315832

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