Jiawei Yong
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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.
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Department
- Connected Company
InfoTech,
Connected Advanced Development Div.
- Connected Company
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Biography
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2020-
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Engaging in research on vehicle data analysis at Toyota Motor Corporation
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2016-
2020 -
Engaged in the research on natural language processing and information retrival at a precision machinery manufacturer
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2015
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Master's Degree in information engineering at Waseda University
Master's Degree in software engineering at Dalian University of Technology
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Publication List/Conference presentation
Papers
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Estimating Total Traffic Volume with Statistical Modeling Approach, IEEE, ITSC, Oct. 2022
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“A Cross-Topic Method for Supervised Relevance Classification”, 5th Workshop on Noisy User-generated Text (W-NUT2019) EMNLP-IJCNLP2019, Nov.2019.
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“A Semi-Supervised Clustering Method for Dialogue Identification in Meeting Minutes Corpora”, Fourth Asia Pacific Corpus Linguistics Conference (APCLC 2018), Sep.2018.
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"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.
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"Improving Software Model Checking on Program Backbone within Distributed System", IEEE International Conference on Information and Automation (ICIA), Jul.2014.
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"Accelerating Software Model Checking Based on Program Backbone”, International Conference on Advanced Parallel Processing technology (APPT) , Aug. 2013.
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Commendation/Memberships
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3rd rank in classification task of NTCIR-14 QALab-PoliInfo
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paper reviewer in internation conference COLING2020
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