Cheng Tang

According to our database, Cheng Tang authored at least 50 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LECTOR: Summarizing E-book Reading Content for Personalized Student Support.

Erwin Daniel López Zapata, Cheng Tang, Valdemar Svábenský, Fumiya Okubo, Atsushi Shimada

CoRR, May, 2025

Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements.

Sijie Xiong, Shuqing Liu, Cheng Tang, Fumiya Okubo, Haoling Xiong, Atsushi Shimada

CoRR, April, 2025

Multi-granular legal information fusion with adversarial compensation: A hierarchical and logic-aware framework for robust case retrieval.

Chunyun Meng, Cheng Tang, Yuki Todo, Weiping Ding

Knowl. Based Syst., 2025

DPFSI: A legal judgment prediction method based on deontic logic prompt and fusion of law article statistical information.

Chunyun Meng, Yuki Todo, Cheng Tang, Li Luan, Zheng Tang

Expert Syst. Appl., 2025

MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification.

Chunyun Meng, Yuki Todo, Cheng Tang, Li Luan, Zheng Tang

Eng. Appl. Artif. Intell., 2025

Extracting Learning Data From Handwritten Notes: A New Approach to Educational Data Analysis Based on Image Segmentation and Generative AI.

Yunyu Zhou, Cheng Tang, Atsushi Shimada

IEEE Access, 2025

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance.

Sukrit Leelaluk, Cheng Tang, Valdemar Svábenský, Atsushi Shimada

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Single-agent vs. Multi-agent LLM Strategies for Automated Student Reflection Assessment.

Gen Li, Li Chen, Cheng Tang, Valdemar Svábenský, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction.

Erwin Daniel López Zapata, Cheng Tang, Atsushi Shimada

Proceedings of the 31st International Conference on Computational Linguistics, 2025

EDNMs for Visual Analytics of Learning Behavior and Early Risk Prediction.

Cheng Tang, Bin Li, Haichuan Yang, Gen Li, Li Chen, Boxuan Ma, Atsushi Shimada

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

From Reflections to Motifs: A Graph-Based Analysis of Learners' Knowledge Construction.

Gen Li, Li Chen, Cheng Tang, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

A framework of specialized knowledge distillation for Siamese tracker on challenging attributes.

Yiding Li, Atsushi Shimada, Tsubasa Minematsu, Cheng Tang

Mach. Vis. Appl., July, 2024

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model.

Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Hyperspectral Image Classification Based on Double-Hop Graph Attention Multiview Fusion Network.

Ying Cui, Li Luo, Lu Wang, Liwei Chen, Shan Gao, Chunhui Zhao, Cheng Tang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency.

Cheng Tang, Yuki Todo, Sachiko Kodera, Rong Sun, Atsushi Shimada, Akimasa Hirata

Neural Networks, 2024

Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking.

Shuangbao Song, Cheng Tang, Zhenyu Song, Jia Qu, Xingqian Chen

Appl. Soft Comput., 2024

Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities.

Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada

IEEE Access, 2024

Educational Data Analysis using Generative AI.

Shuaileng Yuan, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

Educational Data Analysis using Generative AI.

Abdul Berr, Sukrit Leelaluk, Cheng Tang, Li Chen, Fumiya Okubo, Atsushi Shimada

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model.

Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada

Proceedings of the Knowledge Science, Engineering and Management, 2024

LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education.

Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada

Proceedings of the Knowledge Science, Engineering and Management, 2024

Binocular Disparity Unveils the Mechanisms of Stereo Feature Selectivity: Orientation and Motion.

Bin Li, Yuki Todo, Zheng Tang, Cheng Tang

Proceedings of the International Joint Conference on Neural Networks, 2024

Automated Recommendations for Revising Lecture Slides Using Reading Activity Data.

Erwin D. López Z., Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the Proceeding of the 32nd International Conference on Computers in Education, 2024

QA-Knowledge Attention for Exam Performance Prediction.

Yongle Ren, Cheng Tang, Yuta Taniguchi, Fumiya Okubo, Atsushi Shimada

Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization.

Haichuan Yang, Yifei Yang, Yuxin Zhang, Cheng Tang, Koichi Hashimoto, Yuichi Nagata

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?

Li Chen, Gen Li, Boxuan Ma, Cheng Tang, Fumiya Okubo, Atsushi Shimada

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Analysis of Adapter in Attention of Change Detection Vision Transformer.

Ryunosuke Hamada, Tsubasa Minematsu, Cheng Tang, Atsushi Shimada

Proceedings of the Computer Vision - ACCV 2024 Workshops, 2024

2023

A complex network-based firefly algorithm for numerical optimization and time series forecasting.

Zhenyu Song, Cheng Tang, Shuangbao Song, Yajiao Tang, Jinhai Li, Junkai Ji

Appl. Soft Comput., April, 2023

A model of the starburst amacrine cell for motion direction detection.

Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo

Int. J. Bio Inspired Comput., 2023

Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction.

Qi Wang, Haiyan Zhang, Junkai Ji, Cheng Tang, Yajiao Tang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells.

Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang

Knowl. Based Syst., 2022

The mechanism of orientation detection based on color-orientation jointly selective cells.

Bin Li, Yuki Todo, Zheng Tang, Cheng Tang

Knowl. Based Syst., 2022

A survey on machine learning models for financial time series forecasting.

Yajiao Tang, Zhenyu Song, Yulin Zhu, Huaiyu Yuan, Maozhang Hou, Junkai Ji, Cheng Tang, Jianqiang Li

Neurocomputing, 2022

A survey on dendritic neuron model: Mechanisms, algorithms and practical applications.

Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo

Neurocomputing, 2022

Adopting a dendritic neural model for predicting stock price index movement.

Yajiao Tang, Zhenyu Song, Yulin Zhu, Maozhang Hou, Cheng Tang, Junkai Ji

Expert Syst. Appl., 2022

A cuckoo search algorithm with scale-free population topology.

Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo

Expert Syst. Appl., 2022

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification.

Cheng Tang, Junkai Ji, Qiuzhen Lin, Yan Zhou

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Artificial immune system training algorithm for a dendritic neuron model.

Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang

Knowl. Based Syst., 2021

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression.

Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong

Appl. Soft Comput., 2021

Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism.

Zhenyu Song, Xuemei Yan, Lvxing Zhao, Luyi Fan, Cheng Tang, Junkai Ji

Algorithms, 2021

An Efficient Orientation Detection Mechanism Inspired via Orientation-selective Amacrine Cells.

Fenggang Yuan, Cheng Tang, Yuki Todo, Zheng Tang

Proceedings of the SPML 2021: 4th International Conference on Signal Processing and Machine Learning, Beijing, China, August 18, 2021

The Mechanism of Motion Direction Detection from Gray Images.

Yuxiao Hua, Riku Inoue, Cheng Tang, Yuki Todo, Zheng Tang

Proceedings of the SPML 2021: 4th International Conference on Signal Processing and Machine Learning, Beijing, China, August 18, 2021

An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction.

Cheng Tang, Zhenyu Song, Yajiao Tang, Huimei Tang, Yuxi Wang, Junkai Ji

Proceedings of the Intelligent Computing Theories and Application, 2021

2020

A novel machine learning technique for computer-aided diagnosis.

Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo

Eng. Appl. Artif. Intell., 2020

Evolutionary Dendritic Neural Model for Classification Problems.

Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

Complex., 2020

Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm.

Jiajun Zhao, Minhui Dong, Cheng Tang, Junkai Ji, Ying He

Proceedings of the Intelligent Computing Theories and Application, 2020

A Novel Plastic Neural Model with Dendritic Computation for Classification Problems.

Junkai Ji, Minhui Dong, Cheng Tang, Jiajun Zhao, Shuangbao Song

Proceedings of the Intelligent Computing Theories and Application, 2020

2019

An artificial bee colony algorithm search guided by scale-free networks.

Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo

Inf. Sci., 2019

Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm.

Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, Yuki Todo

IEEE Access, 2019

A Self-adaptive Mechanism Embedded Gravitational Search Algorithm.

Zhenyu Song, Cheng Tang, Xingqian Chen, Shuangyu Song, Junkai Ji

Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019