Jiawei Yong

Jiawei Yong

  • Machine learning
    data mining

Greate interested in discovering the connection of the surface(representation from big data) and essence(model from algorithm) among all the things.
To realize the value of AI technology, I would make flaxible use of both State-of-the-art model and adequate data.

  • Department

    • Knowledge Discovery Innovation Dept.,
      InfoTech Div.

  • Biography

    • 2020-

      Engaging in research on vehicle data analysis at Toyota Motor Corporation

    • 2016-
      2020

      Engaged in the research on natural language processing and information retrival at a precision machinery manufacturer

    • 2015

      Master's Degree in information engineering at Waseda University
      Master's Degree in software engineering at Dalian University of Technology

  • Publication List/Conference presentation

    Papers

    • Road-Level Charging Gaps and Infrastructure Enhancements in Japan's Electric Vehicle Transition, AGU, Earth's Future, Jun. 2025

    • Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation, ACM, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(ACM SIGSPATIAL 2023), Nov. 2023

    • Spatio-Temporal Meta-Graph Learning for Traffic Forecasting, Association for the Advancement of Artificial Intelligence, The 37th AAAI conference on Artificial Intelligence (AAAI), Feb. 2023

    • Estimating Total Traffic Volume with Statistical Modeling Approach, IEEE, ITSC, Oct. 2022

    • “A Cross-Topic Method for Supervised Relevance Classification”, 5th Workshop on Noisy User-generated Text (W-NUT2019) EMNLP-IJCNLP2019, Nov.2019.

    • “A Semi-Supervised Clustering Method for Dialogue Identification in Meeting Minutes Corpora”, Fourth Asia Pacific Corpus Linguistics Conference (APCLC 2018), Sep.2018.

    • "Cloud-based Hint Application of Relevant Meeting Materials Using OCR and ASR Text Information", 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017), Dec.2017.

    • "Improving Software Model Checking on Program Backbone within Distributed System", IEEE International Conference on Information and Automation (ICIA), Jul.2014.

    • "Accelerating Software Model Checking Based on Program Backbone”, International Conference on Advanced Parallel Processing technology (APPT) , Aug. 2013.

    Others

    • Tackling against the era of data localizations: Federated Learning Taskforce approaches, Woven by Toyota. Toyota Global Summit 2023

  • Commendation/Memberships

    • 3rd rank in classification task of NTCIR-14 QALab-PoliInfo

    • paper reviewer in internation conference COLING2020

Members List