Updated on 2026/04/06

写真a

 
Chen Chenhao
 
Organization
Faculty of Engineering Department of Information Electronics Assistant Professor
Title
Assistant Professor
Homepage
https://chinshinkou.github.io/

Degree

  • 博士（工学） ( 2024.3 )

Research Interests

  • 画像処理

  • 自然言語処理

  • 人間行動認識

  • 深層学習

Research Areas

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Measurement engineering

  • Informatics / Perceptual information processing

  • Informatics / Human interfaces and interactions

Education

  • Kyushu University

    2021.4 - 2024.03

  • Nanjing University of Science and Technology   School of Electronic and Optical Engineering   博士前期課程

    2017.9 - 2020.03

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    Country： China

  • Fukuoka Institute of Technology   Department of Electronics and Information Engineering

    2018.4 - 2020.03

Research History

  • Fukuoka Institute of Technology   Faculty of Engineering Department of Information Electronics   Assistant Professor

    2026.4

  • Chubu University

    2024.4 - 2026.3

  • German Research Center for Artificial Intelligence (DFKI)

    2022.6 - 2023.1

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    Country：Germany

Papers

  • A Modular Framework for Automated Hypothesis Validation and Refinement in Scientific Research Reviewed

    Chenhao Chen, Taiga Masuda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

    Information   17 ( 3 )   244   2026.3

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    Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

    Scientific research typically follows an iterative cycle where hypotheses are proposed, validated against experimental conclusions, and refined accordingly. While recent advances in large language models (LLMs) have enabled significant progress in automating individual stages of this process, existing systems are typically developed as standalone solutions, making it difficult to coordinate multiple research activities within a coherent research workflow. In this study, we present a modular framework for automated hypothesis validation and refinement in scientific research. Rather than introducing new task-specific models, the framework integrates established techniques, including natural language inference (NLI)-based hypothesis validation, attribution-guided hypothesis refinement, and retrieval-augmented generation (RAG)-based external evidence retrieval, into a unified and controllable workflow. We evaluate the proposed framework on scientific texts in the chemistry domain to assess its applicability in practical scientific research scenarios. Extensive experiments demonstrate the effectiveness of the proposed framework and suggest that it produces reliable intermediate signals that enhance transparency and traceability throughout hypothesis validation and refinement. Our work offers a modular solution for deploying LLM-based systems in scientific research workflows.

    DOI： 10.3390/info17030244

  • Hypothesis alignment via clause-level attribution-guided span masking and infilling Reviewed

    Chenhao Chen, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

    5th International Conference on Artificial Intelligence, Automation, and Algorithms (AI2A 2025)   2026.1

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1117/12.3097328

  • CRNLI: A Textual Entailment Dataset in the Chemistry Domain Reviewed

    Chenhao Chen, Taiga Masuda, Yoshitaka Ushiku, Shohei Tanaka, Kuniaki Saito, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

    28th International Conference on Text, Speech and Dialogue (TSD 2025)   2025.8

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-3-032-02551-7_9

  • An End-To-End Hybrid Overhead Facial Orientation Estimation System for Offline Group Discussions Reviewed

    Chenhao Chen, Yugo Nakamura, Yutaka Arakawa

    IEEE 14th International Conference on Mobile Computing and Ubiquitous Network (ICMU 2023)   2023.12

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.23919/ICMU58504.2023.10412258

  • ToonMeet: A Real-time Portrait Toonification Framework with Frame Interpolation Fine-tuned for Online Meeting Reviewed

    Chenhao Chen, Shogo Fukushima, Yugo Nakamura, Yutaka Arakawa

    IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI 2023)   2023.11

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICTAI59109.2023.00013

  • Generating Virtual Head-Mounted Gyroscope Signals From Video Data Reviewed

    MinYen Lu, Chenhao Chen, Billy Dawton, Yugo Nakamura, Yutaka Arakawa

    2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)   2023.7

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICCE-Taiwan58799.2023.10227010

  • Quantitative Evaluation System for Online Meetings Based on Multimodal Microbehavior Analysis Reviewed

    Chenhao Chen, Yutaka Arakawa, Ko Watanabe, Shoya Ishimaru

    Sensors and Materials   2022.8

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    Publishing type：Research paper (scientific journal)  

    DOI： 10.18494/SAM3959

  • Method of Sea Wave Matching Based on Convolutional Neural Network - A comparison with feature vector matching method Reviewed

    Ying Yang, Chenhao Chen, Cunwei Lu

    25th International Symposium on Artificial Life and Robotics (AROB 2020)   2020.1

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    Publishing type：Research paper (international conference proceedings)  

  • Method of Sea Wave Matching Based on Siamese Network Reviewed

    Chenhao Chen, Cunwei Lu, Ying Yang

    7th Asia International Symposium on Mechatronics (AISM 2019)   2019.8

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-981-32-9441-7_89

  • Long Distance Sea Surface Images Fast Sparse Matching by Integrated Feature Vector Reviewed

    Ying Yang, Cunwei Lu, Chenhao Chen

    7th Asia International Symposium on Mechatronics (AISM 2019)   2019.8

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1007/978-981-32-9441-7_86

  • Research on stereo matching methods for long distance sea surface image Reviewed

    Ying Yang, Cunwei Lu, Chenhao Chen

    5th International Conference on Engineering, Applied Sciences and Technology (ICEAST 2019)   2019.7

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICEAST.2019.8802587

  • Method of Sea Wave Extraction and Matching from Images Based on Convolutional Neural Network Reviewed

    Chenhao Chen, Cunwei Lu, Ying Yang

    5th International Conference on Engineering, Applied Sciences and Technology (ICEAST 2019)   2019.7

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    Publishing type：Research paper (international conference proceedings)  

    DOI： 10.1109/ICEAST.2019.8802545

▼display all

MISC

  • VLMを用いた科学ベクタ図XMLの自動生成

    増田大河, 田中翔平, 陳辰昊, 平川翼, 山下隆義, 齋藤邦章, 藤吉弘亘, 牛久祥孝

    言語処理学会 第32回年次大会   2026.3

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    Publishing type：Research paper, summary (national, other academic conference)  

  • A Study on Multimodal Information Analysis and Transformation for Improving Group Communication

    陳 辰昊

    2024情報処理学会モバイルコンピューティングと新社会システム研究会   2024.8

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    Publishing type：Rapid communication, short report, research note, etc. (scientific journal)  

  • A study on estimating the accurate head IMU motion from Video

    MinYen Lu, Chenhao Chen, Shigemi Ishida, Yugo Nakamura, Yutaka Arakawa

    情報処理学会マルチメディア，分散，協調とモバイルシンポジウム2022論文集   2022.7

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    Publishing type：Research paper, summary (national, other academic conference)  

  • マルチモーダルなマイクロ行動分析に基づく複数人会議の定量化 Reviewed

    陳 辰昊, 徳原 耕亮, 荒川 豊, 渡辺 洸, 石丸 翔也

    第36回人工知能学会全国大会 (JSAI 2022)   2022.6

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    Publishing type：Research paper, summary (national, other academic conference)  

    DOI： 10.11517/pjsai.JSAI2022.0_1P1GS1004

Awards

  • Best Presenter Award

    2025.10   5th International Conference on Communications, Networking and Machine Learning (CCNML2025)  

  • Young Author Award

    2020.1   25th International Symposium on Artificial Life and Robotics (AROB2020)