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唐 成

プロフィール

自己紹介

photo
氏名 唐 成 (TANG, Cheng)
ポスト 助教
学位 博士(工学)
所属 九州大学 大学院システム情報科学研究院

学歴・職歴

2020年3月 富山大学 大学院理工学教育部 博士前期課程 修了
修士
2022年3月 富山大学 大学院理工学教育部 博士後期課程 早期修了 博士(工学)
2022年4月 富山大学 大学院工学部 協力研究員
2022年8月 名古屋工業大学大学院 工学研究科 特任助教
2023年6月 九州大学 大学院システム情報科学研究院 助教

研究

機械学習,ディープラーニング


発表文献

論文誌 (査読有)

  1. Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada
    Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities
    IEEE Access, Vol.12, pp.100659-100675, 2024.07
    BibTeX
  2. Cheng Tang, Yuki Todo, Sachiko Kodera, Rong Sun, Atsushi Shimada, Akimasa Hirata
    A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency
    Neural Networks, p.106527, 2024.07
    BibTeX
  3. Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang
    A framework of specialized knowledge distillation for Siamese tracker on challenging attributes
    Machine Vision and Applications, Vol.35, No.4, pp.1-18, 2024.07
    BibTeX
  4. Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata
    Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model
    IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.8, No.3, pp.2228-2239, 2024.06
    BibTeX

国際会議 (査読有)

  1. Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada
    LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education
    International Conference on Knowledge Science, Engineering and Management (KSEM 2024), Vol.3, pp.57-68, 2024.08
    BibTeX
  2. Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada
    Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model
    International Conference on Knowledge Science, Engineering and Management (KSEM 2024), Vol.2, pp.192-203, 2024.08
    BibTeX
  3. Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo, Atsushi Shimada
    How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?
    25th International Conference on Artificial Intelligence in Education (AIED 2024), No.1, pp.151-162, 2024.07
    BibTeX
  4. Yunyu Zhou, Cheng Tang, Atsushi Shimada
    A Novel Approach: Enhancing Data Extraction from Student Handwritten Notes Using Multi-Task U-Net and GPT-4
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX
  5. Li Yiding, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada
    A High-speed and Lightweight Siamese Tracker based on RepVGG Network
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX
  6. Li Yiding, Cheng Tang, Tsubasa Minematsu, Atsushi Shimada
    Visibility-aware Multi-teacher Knowledge Distillation for Siamese Tracker
    Joint International Conference on Automation-Intelligence-Safety & International Symposium on Autonomous Systems (ICAIS&ISAS2024), 2024.05
    BibTeX
  7. Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
    A Deep learning Grade Prediction Model of Online Learning Performance Based on knowledge learning representation
    The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
    BibTeX
  8. Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada
    Educational Data Analysis using Generative AI
    The 6th Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK24 Data Challenge), 2024.03
    BibTeX
  9. Dao Zhou, Tsubasa Minematsu, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
    A Human-in-the-Loop Annotation Framework for Surveillance Scenarios with Enhanced Overlapping Object Detection
    The 30th International Workshop on Frontiers of Computer Vision 2024 (IW-FCV2024), 2024.02
    BibTeX

国内学会 (査読無し)

  1. 濵田 龍之介, 峰松 翼, 唐 成, 島田 敬士
    変化検出ViTのattentionへのadapter導入に関する分析
    第27回 画像の認識・理解シンポジウム (MIRU2024), 2024.08
    BibTeX
  2. 任 永楽, 唐 成, 谷口 雄太, 峰松 翼, 大久保 文哉, 島田 敬士
    Students' Performance Prediction Based on Similarity between Online Textbooks and Questions
    第42回教育学習支援情報システム研究会 (CLE42), 2024.03
    BibTeX