Laboratory for Image and Media Understanding,Department of Advanced Information Technology, Kyushu University

Journals (Peer-reviewed)

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

International Conferences (Peer-reviewed)

1. Yongle Ren, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada
   QA-Knowledge Attention for Exam Performance Prediction
   Technology Enhanced Learning for Inclusive and Equitable Quality Education (EC-TEL 2024), Vol.15159, No.1, pp.375-389, 2024.09
   BibTeX
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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