Dr. Lyuchao Liao

Title:

• Professor (Third Rank)

• PhD Supervisor (Fuzhou University)

• Postdoctoral Fellow (Tsinghua University, Excellent Exit Evaluation)

Recognitions:

• Fujian Provincial High-level Talent (Category B)

• IEEE Senior Member

• Distinguished Member, China Computer Federation (CCF)

• Scholar Visitor, University of Essex

• Expert Reviewer for China Fifth Discipline Evaluation, Ministry of Education of the People's Republic of China 

• Fujian Province Curriculum Ideological and Political Teaching Master

• Expert for Digital Fujian, Fujian Provincial Development and Reform Commission

• Best Paper Award, IEEE Computer Society (2023)

Contact Information:

• Email: achao@fjut.edu.cn / llyuchao@ieee.org

• ORCID ID: 0000-0001-5337-9083

• Researcher ID: GPK-5719-2022

• Google Scholar: Profile

• Homepage: Lyuchao Liao's Faculty Page

• IEEE Profile: IEEE Collabratec

Research Interests

• Artificial Intelligence

• Autonomous Driving Technology

• Spatio-temporal Big Data Processing

• Intelligent Transportation Systems

• Digital Twin Applications in Transportation

Academic and Professional Roles

• Vice Dean, School of Transportation, Fujian University of Technology

• Director, Fujian Provincial Engineering Research Center for Intelligent Driving Technology

• Director, Fujian Provincial Key Laboratory for Industrial Control and Data Analysis

• Executive Deputy Director, Digital Fujian Transportation Big Data Research Institute

• Program Coordinator, Intelligent Science and Technology Major

Highlighted Research Projects

1. National Natural Science Foundation Project: Research on Cognitive Representation of Autonomous Driving Steering Experience (Grant No. 62376059, 2024-2027, PI).

2. National Natural Science Foundation Project: Position Information Mining and Recommendation Methods for Big Data (Grant No. 41971340, 2020-2023, Co-PI).

3. National Natural Science Foundation Project: Traffic Driving Behavior Cognition and Active Learning Mechanisms Based on Massive Semantic Trajectories (Grant No. 61304199, 2014-2016, PI).

4. National Natural Science Foundation Project: Pattern Analysis and Visualization of Urban Passenger Flow Data for Decision Optimization Support (Grant No. 41471333, 2015-2018, Co-PI).

5. Fujian Science and Technology Key Project: Development of Smart City Emergency Services Using Digital Twins (2021Y4019, 2021-2024, PI).

6. Fujian Software Industry Innovation Project: Urban Transportation Digital Twin Cloud Service Platform (2023-2024, Co-PI).

7. Collaborative Innovation Project: Smart City Digital Twin Technology (2023-2026, PI).

8. Fujian Regional Development Project: Research and Promotion of Key Technologies for Standard Address Management in Smart Cities Based on Big Data Mining (2018Y3001, 2018-2020, Co-PI).

Representative Publications

1. Liao, L., Zeng, J., Lai, T., et al. Stereo matching on images based on volume fusion and disparity space attention. Engineering Applications of Artificial Intelligence, 2024, 136: 108902.

2. Liao L, Li B, Zou F, et al. MFGCN: A Multimodal Fusion Graph Convolutional Network for Online Car-hailing Demand Prediction. IEEE Intelligent Systems, 2023, 38(3): 21-30.

3. Liao L, Lin Y, Li W, et al. Traj2Traj: A road network constrained spatiotemporal interpolation model for traffic trajectory restoration. Transactions in GIS, 2023, 27(4): 1021-1042.

4. Liao L, Hu Z, Zheng Y, et al. An improved dynamic Chebyshev graph convolution network for traffic flow prediction with spatial-temporal attention. Applied Intelligence, 2022, 52(14): 16104-16116.

5. Liao L, Chen B, Zou F, et al. Hierarchical quantitative analysis to evaluate unsafe driving behaviour from massive trajectory data. IET Intelligent Transport Systems, 2020, 14(8): 849-856.

6. Liao L, Li Z, Lai S, et al. An expressway traffic congestion measurement under the influence of service areas. PLoS ONE, 2023, 18(1): e0279966.

7. Liao, L., Xiao, H., Xing, P., Gan, Z., He, Y., & Wang, J. (2024). Perception Enhanced Deep Deterministic Policy Gradient for Autonomous Driving in Complex Scenarios. CMES-Computer Modeling in Engineering & Sciences, 140(1).

8. Lu, Z., Liao, L*., Xie, X., & Yuan, H. (2024). SCoralDet: Efficient real-time underwater soft coral detection with YOLO. Ecological Informatics, 102937.

9. Liao L, Hu Z, Hsu C-Y, et al. Fourier Graph Convolution Network for Time Series Prediction. Mathematics, 2023, 11(7): 1649.

10. Liao L, Li B, Huang D, et al. An Intelligent Rebalance System for Tidal Phenomenon of Dockless Bicycle-Sharing. IEEE Access, 2023, 11: 12937-12948.

Graduate Supervision

Lyuchao Liao has supervised over 30 graduate students across diverse areas of artificial intelligence, transportation engineering, and big data applications. The following list highlights representative student research topics and achievements:

2014 Cohort:

    1. Xianghai Ge: "Dynamic Topology Generation of Nanning Road Network Using Real-Time Trajectory Data." (Employed at Hailiang Group, Fortune 500 Company)

2015 Cohort:

    2. Yun Chen: "Short-Term Traffic State Prediction Model for Urban Roads Based on LSTM Deep Networks." (Employed at Tsinghua University Transportation Institute)

2016 Cohort (unordered):

    3. Qiqin Cai: "Similarity Retrieval and Mining Analysis of Traffic Trajectory Big Data." (PhD Student at Huaqiao University)

    4. Tao Zhang: "Electric Load Forecasting Using Clustering and Adaboost-CART Combination Model." (Employed at State Grid, Nanping)

    5. Jierui Liu: "Urban Area Traffic Signal Control Based on Deep Reinforcement Learning." (Employed at Hubei Public Information Company)

2018 Cohort (unordered):

    6. Chenwei Wu: "Complex Text Keyword Mining Method Based on Graph Embedding Model." (Employed at State Grid, Sanming)

    7. Yuxin Zheng: "Traffic Flow Prediction Based on Spatiotemporal Dynamic Graph Convolutional Networks." (Employed at a Global Innovation Brand Company)

    8. Xinke Wu: "Bus Priority Signal Control Strategy Using Deep Reinforcement Learning." (Employed at Ruijie Networks)

    9. Bijun Chen: "Driving Behavior Safety Evaluation Using Traffic Trajectory Big Data." (Employed at Ruijie Networks)

2019 Cohort (unordered):

    10. Jovial Niyogisubizo: "Predicting Crash Injury Severity in Smart Cities Using Hybrid Machine Learning Approaches." (PhD Student at Shenzhen Institutes of Advanced Technology, CAS)

    11. Yongqiang Wang: "Spatiotemporal Demand Prediction for Online Car-Hailing Services in Smart Cities." (PhD Student at Wuhan University of Technology)

    12. Jinmei Lin: "Restoration of Missing Points of Interest in LBSNs Using Representation Learning." (Employed at State Grid, Xiamen)

    13. Francis Kwofie Afedzie: "A Bidirectional Context Embedding Transformer for Automatic Speech Recognition."

    14. Zhifeng Chen: "Named Entity Recognition in Chinese Using Deep Neural Networks." (Employed at State Grid, Sanming)

    15. Weifeng Li: "Restoration of Missing Data in Urban Traffic Trajectories Using Deep Learning." (Employed at State Grid, Longyan)

    16. Zhiyuan Hu: "Short- and Long-Term Traffic Flow Prediction Using Dynamic Spatiotemporal Graph Neural Networks."

    17. Zewei Lin: "Car-Following Control Model for Autonomous Driving Vehicles Using Deep Learning." (Employed at Meizhou Bay Vocational and Technical College)

    18. Erjie Lin: "Charging Strategies for Electric Taxis Based on Traffic Trajectory Big Data." (Employed at State Grid)

    19. Zhicheng Feng: "Target Detection in Road Scenes Using Fusion of LiDAR and Visual Information." (Employed at NARI Group Corporation, a Central Enterprise)

2020 Cohort (unordered):

    20. Zhengrong Li: "Highway Traffic Congestion Prediction Using ETC Gantry Data." (PhD Student at Technion-Israel Institute of Technology)

    21. Ben Li: "Spatiotemporal Dynamic Graph Convolutional Networks for Ride-Hailing Demand Prediction." (PhD Student at Tongji University)

    22. Wenhao Chen: "Short-Term Electric Load Forecasting Using Deep Fusion Algorithms." (PhD Student at Hunan University)

    23. Yintian Zhu: "Object Detection for Autonomous Driving Using Fusion of LiDAR and Image Data." (Employed at Fujian University of Technology)

    24. Penghao Tang: "Bus Signal Priority Control Strategy Using Deep Reinforcement Learning." (Employed at China Three Gorges Corporation)

    25. Yuyuan Lin: "Highway User Travel Behavior Mining and Prediction Using ETC Data."

    26. Linson Luo: "Target Detection in UAV Images for Complex Scenarios."

    27. Qi Zheng: "Pedestrian Crossing Signal Control Strategies Using Deep Reinforcement Learning." (Employed at Minxi Vocational and Technical College)

    29. Ruixiang Chen: "Autonomous Driving Object Detection Using Attention Mechanisms." (Employed at State Grid)

2021 Cohort (unordered):

    30. Jiema Zeng: "Stereo Matching Algorithms Based on Deep Learning." (Employed at a Bank in Xiamen)

    31. Rong Xiong: "Traffic Flow Prediction Using Deep Learning and Attention Mechanisms." (Employed at Fujian Development and Reform Commission)

    32. Qi Zheng: "Lane-Changing Decision-Making for Autonomous Vehicles Using Deep Reinforcement Learning." (Employed at Fuzhou Education Bureau)

    33. Mir Mehraj Ahmad: "Enhanced Surface Defect Detection on Optical Filters Using Deep Learning Approaches." (PhD Student at Harbin Institute of Technology)

    34. Wenxia Jiang: "Evaluation and Prediction of Lithium-Ion Battery Health and Remaining Life." (Employed at Nanping Telecom)

    35. Hankun Xiao: "Optimization of Autonomous Driving in Roundabout Scenarios Using Deep Reinforcement Learning." (Employed at Ruijie Networks)

    36. Youpeng He: "Ramp Merging Strategies for Autonomous Vehicles on Expressways Using Deep Reinforcement Learning." (Employed at the National Intellectual Property Administration)

37. Jiajun Gao: "Multi-Vehicle Tracking Algorithm Using Joint Driving Pattern Detection."

This diverse portfolio reflects Dr. Liao’s expertise in cutting-edge fields and his dedication to nurturing innovation and research excellence.

Key Patents

1. U.S. Patent: Urban Private Parking Space Sharing and Exchanging Service Method and System (US010755572B2, First Inventor).

2. China Patent: A Digital Twin-Based Road Operation Data Prediction Method and Device (ZL 202210058269.X, First Inventor).

3. China Patent: Virtual Traffic Light Control Reminder Method for Digital Twin Smart City Transportation (ZL202210058268.5, First Inventor).

4. China Patent: Green Wave Decision Support Method and Terminal for Urban Roads Based on Floating Car Technology (ZL201711179692.0, First Inventor).

5. China Patent: A Method and System for Discovering Topological Connection Edges of Urban Road Networks (ZL201911307758.9, First Inventor).

6. China Patent: A High-Precision Positioning Method for Autonomous Driving Using Streetlights (ZL201910474604.2, First Inventor).

7. China Patent: High-Precision Map Matching Method and System for Autonomous Vehicles Assisted by Streetlights (ZL201910474609.5, First Inventor).

8. China Patent: A Method for Obtaining Regional Road Experts Based on Floating Car Technology (ZL201310667672.3, First Inventor).

9. China Patent: Regional Road Traffic Flow Control Method Based on Floating Car Technology (ZL201711164285.2, First Inventor).

10. China Patent: Taxi Trajectory Experience Knowledge Path Extraction Method (ZL201310615600.4, First Inventor).

Standards Contributions

1. National Standards:

• Trusted E-commerce Transaction Requirements (GB/T 31782-2023).

• Supply Chain E-commerce Business Collaboration Technical Requirements (GB/T 43060-2023).

• Metadata for Financial News Information, Part 1: Metadata (GB/T 43340.1-2023).

2. Local Standards:

• Guidelines for Industrial Park Industrial Chain Cultivation (DB3501/T 007-2022).

• General Specifications for Smart Park Planning and Management (DB3501/T 010-2022).

3. Association Standards:

• Data Collection Specification for Internet of Vehicles in Intelligent Transportation (T/CUPTA 035–2023).

• Basic Geographic Data Technical Specifications for Coordinated Integrated Transportation Systems (T/CUPTA 032–2023).

Honors and Awards

1. Best Paper Award: IEEE Computer Society, 2023.

2. Fujian Science and Technology Progress Award (2nd Prize): Big Data-Based Smart Emergency Key Technologies and Integrated Services System, 2020.

3. Geneva International Invention Award: Windshield with Active Alarm Function, 2019.

4. China Industry-University-Research Collaboration Innovation Award: Beidou-Based Highway Transportation Safety Information System, 2014.

5. Outstanding Graduate Supervisor: Fujian University of Technology, multiple years.

Professional Engagement

• Invited Talks and Keynotes:

1. "Classroom Teaching Evaluation and Artificial Intelligence," Keynote at Fujian Primary and Secondary School Research Base Workshop, Nanping, November 15, 2024.

2. "Standardization Driven: Industry-Academia Collaboration for High-Quality Innovation and Development," 55th World Standards Day, Fuzhou, October 14, 2024.

3. "The Next Horizon: Telematics to Autonomous Vehicles in the Connected Age," Keynote at the Sixth International Conference on Smart Vehicular Technology, Transportation, Communication, and Applications, Kaohsiung, April 17, 2024.

4. "New Changes in Classroom Teaching in the Context of Artificial Intelligence," Fujian Provincial Middle School Art Education Seminar, Ningde, April 12, 2024.

5. "Artificial Intelligence: Connecting Infinite Possibilities," Ningde Vocational Technical College, Fuan, March 15, 2024.

6. "Future Transportation in Digital Cities," Maritime Silk Road Digital Economy Conference, Quanzhou, December 29, 2023.

7. "How Artificial Intelligence Reshapes Urban Transportation," 2nd Digital Twin and Intelligent Construction Academic Conference, Fuzhou, November 24, 2023.

8. "Exploring AI Learning and Cultivating Talents: Practice in Graduate Curriculum Ideological and Political Education," Fujian University of Technology, Fuzhou, November 23, 2023.

9. "Artificial Intelligence and Smart Transportation," Fujian Science Popularization Forum, Fujian Science and Technology Museum, September 22, 2023.

10. "Artificial Intelligence and Smart Transportation," Baidu Smart Vehicle Innovation Base, Fuzhou, August 14, 2023.

11. "Trends and Applications of Graph Neural Networks in Transportation," 1st Belt and Road Intelligent Green Transportation Engineering Seminar, Urumqi, June 3, 2023.

12. "The Principle, Trends, and Applications of Graph Neural Networks," Keynote at the 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT2023), Hangzhou, May 19, 2023.

13. "Artificial Intelligence and Smart Transportation," Fujian Provincial Transportation Department, December 23, 2021.

14. "Industrial AI: Connecting Possibilities, Creating the Future," Fuzhou Industrial Internet Development Forum, December 8, 2021.

• Editorial Roles:

• Associate Editor, Journal of Network Intelligence

• Youth Editorial Board Member, Digital Transportation and Safety

• Reviewer:

• IEEE Transactions on Intelligent Transportation Systems

• Engineering Applications of Artificial Intelligence

• IET Intelligent Transport Systems

• ...

International Collaboration

• Active partnerships with:

• University of South Carolina

• University of Essex

• University of Exeter

• Tsinghua University

• Hunan University

Graduate Admissions

• Master's Programs:

1. Transportation Engineering (Traffic Information Engineering and Control)

2. New-Generation Electronic Information Technology (Smart Transportation and Traffic Big Data)

3. Logistics Engineering and Management (Intelligent Logistics and Information Management)

4. Energy and Power Engineering (Electrical Engineering and Information Technology)

• Research Focus:Autonomous driving, intelligent transportation, traffic big data, and urban mobility.

Invitation for Collaboration

Dr. Lyuchao Liao welcomes academic collaboration with colleagues worldwide. Applications for visiting scholar positions and collaborative research opportunities are encouraged.