A Self-adaptive Mechanism Embedded Gravitational Search Algorithm. - Zhenyu Song; Cheng Tang 001; Xingqian Chen; Shuangyu Song; Junkai Ji (ISCID (1), 2019)

Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm. - Shuangyu Song; Xingqian Chen; Cheng Tang 001; Shuangbao Song; Zheng Tang; Yuki Todo (IEEE Access, 2019)

An artificial bee colony algorithm search guided by scale-free networks. - Junkai Ji; Shuangbao Song; Cheng Tang 001; Shangce Gao; Zheng Tang; Yuki Todo (Inf. Sci., 2019)

A Novel Plastic Neural Model with Dendritic Computation for Classification Problems. - Junkai Ji; Minhui Dong; Cheng Tang 001; Jiajun Zhao; Shuangbao Song (ICIC (1), 2020)

Improving Approximate Logic Neuron Model by Means of a Novel Learning Algorithm. - Jiajun Zhao; Minhui Dong; Cheng Tang 001; Junkai Ji; Ying He 006 (ICIC (1), 2020)

Evolutionary Dendritic Neural Model for Classification Problems. - Xiaoxiao Qian; Cheng Tang 001; Yuki Todo; Qiuzhen Lin; Junkai Ji (Complex., 2020)

A novel machine learning technique for computer-aided diagnosis. - Cheng Tang 001; Junkai Ji; Yajiao Tang; Shangce Gao; Zheng Tang; Yuki Todo (Eng. Appl. Artif. Intell., 2020)

An Evolutionary Neuron Model with Dendritic Computation for Classification and Prediction. - Cheng Tang 001; Zhenyu Song; Yajiao Tang; Huimei Tang; Yuxi Wang; Junkai Ji (ICIC (1), 2021)

The Mechanism of Motion Direction Detection from Gray Images. - Yuxiao Hua; Riku Inoue; Cheng Tang 001; Yuki Todo; Zheng Tang (SPML, 2021)

An Efficient Orientation Detection Mechanism Inspired via Orientation-selective Amacrine Cells. - Fenggang Yuan; Cheng Tang 001; Yuki Todo; Zheng Tang (SPML, 2021)

Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism. - Zhenyu Song; Xuemei Yan; Lvxing Zhao; Luyi Fan; Cheng Tang 001; Junkai Ji (Algorithms, 2021)

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. - Minhui Dong; Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Ka-Chun Wong (Appl. Soft Comput., 2021)

Artificial immune system training algorithm for a dendritic neuron model. - Cheng Tang 001; Yuki Todo; Junkai Ji; Qiuzhen Lin; Zheng Tang (Knowl. Based Syst., 2021)

Evolutionary Neural Architecture Design of Liquid State Machine for Image Classification. - Cheng Tang 001; Junkai Ji; Qiuzhen Lin; Yan Zhou (ICASSP, 2022)

A cuckoo search algorithm with scale-free population topology. - Cheng Tang 001; Shuangbao Song; Junkai Ji; Yajiao Tang; Zheng Tang; Yuki Todo (Expert Syst. Appl., 2022)

Adopting a dendritic neural model for predicting stock price index movement. - Yajiao Tang; Zhenyu Song; Yulin Zhu; Maozhang Hou; Cheng Tang 001; Junkai Ji (Expert Syst. Appl., 2022)

A survey on dendritic neuron model: Mechanisms, algorithms and practical applications. - Junkai Ji; Cheng Tang 001; Jiajun Zhao; Zheng Tang; Yuki Todo (Neurocomputing, 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 001; Jianqiang Li 001 (Neurocomputing, 2022)

The mechanism of orientation detection based on color-orientation jointly selective cells. - Bin Li; Yuki Todo; Zheng Tang; Cheng Tang 001 (Knowl. Based Syst., 2022)

A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells. - Cheng Tang 001; Yuki Todo; Junkai Ji; Zheng Tang (Knowl. Based Syst., 2022)

Dendritic Neural Regression Model Trained by Chicken Swarm Optimization Algorithm for Bank Customer Churn Prediction. - Qi Wang; Haiyan Zhang; Junkai Ji; Cheng Tang 001; Yajiao Tang (ICONIP (15), 2023)

A model of the starburst amacrine cell for motion direction detection. - Fenggang Yuan; Hiroyoshi Todo; Cheng Tang 001; Zheng Tang; Yuki Todo (Int. J. Bio Inspired Comput., 2023)

A complex network-based firefly algorithm for numerical optimization and time series forecasting. - Zhenyu Song; Cheng Tang 001; Shuangbao Song; Yajiao Tang; Jinhai Li; Junkai Ji (Appl. Soft Comput., 2023)

Analysis of Adapter in Attention of Change Detection Vision Transformer. - Ryunosuke Hamada; Tsubasa Minematsu; Cheng Tang 001; Atsushi Shimada (ACCV Workshops (1), 2024)

How Do Strategies for Using ChatGPT Affect Knowledge Comprehension? - Li Chen; Gen Li; Boxuan Ma; Cheng Tang 001; Fumiya Okubo; Atsushi Shimada (AIED Companion (1), 2024)

Chaotic Map-Coded Evolutionary Algorithms for Dendritic Neuron Model Optimization. - Haichuan Yang; Yifei Yang; Yuxin Zhang; Cheng Tang 001; Koichi Hashimoto; Yuichi Nagata (CEC, 2024)

QA-Knowledge Attention for Exam Performance Prediction. - Yongle Ren; Cheng Tang 001; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada (EC-TEL (1), 2024)

Automated Recommendations for Revising Lecture Slides Using Reading Activity Data. - Erwin D. López Z.; Cheng Tang 001; Yuta Taniguchi; Fumiya Okubo; Atsushi Shimada (ICCE, 2024)

Binocular Disparity Unveils the Mechanisms of Stereo Feature Selectivity: Orientation and Motion. - Bin Li; Yuki Todo; Zheng Tang; Cheng Tang 001 (IJCNN, 2024)

LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education. - Gen Li; Cheng Tang 001; Li Chen; Daisuke Deguchi; Takayoshi Yamashita; Atsushi Shimada (KSEM (3), 2024)

Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. - Cheng Tang 001; Li Chen; Gen Li; Tsubasa Minematsu; Fumiya Okubo; Yuta Taniguchi; Atsushi Shimada (KSEM (2), 2024)

Educational Data Analysis using Generative AI. - Abdul Berr; Sukrit Leelaluk; Cheng Tang 001; Li Chen; Fumiya Okubo; Atsushi Shimada (LAK Workshops, 2024)

Educational Data Analysis using Generative AI. - Shuaileng Yuan; Sukrit Leelaluk; Cheng Tang 001; Li Chen; Fumiya Okubo; Atsushi Shimada (LAK Workshops, 2024)

Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. - Sukrit Leelaluk; Cheng Tang 001; Tsubasa Minematsu; Yuta Taniguchi; Fumiya Okubo; Takayoshi Yamashita; Atsushi Shimada (IEEE Access, 2024)

Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein-ligand docking. - Shuangbao Song; Cheng Tang 001; Zhenyu Song; Jia Qu; Xingqian Chen (Appl. Soft Comput., 2024)

A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency. - Cheng Tang 001; Yuki Todo; Sachiko Kodera; Rong Sun; Atsushi Shimada; Akimasa Hirata (Neural Networks, 2024)

Hyperspectral Image Classification Based on Double-Hop Graph Attention Multiview Fusion Network. - Ying Cui; Li Luo; Lu Wang 010; Liwei Chen; Shan Gao; Chunhui Zhao 003; Cheng Tang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. - Cheng Tang 001; Junkai Ji; Yuki Todo; Atsushi Shimada; Weiping Ding 001; Akimasa Hirata (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A framework of specialized knowledge distillation for Siamese tracker on challenging attributes. - Yiding Li; Atsushi Shimada; Tsubasa Minematsu; Cheng Tang 001 (Mach. Vis. Appl., 2024)

From Reflections to Motifs: A Graph-Based Analysis of Learners' Knowledge Construction. - Gen Li; Li Chen; Cheng Tang 001; Daisuke Deguchi; Takayoshi Yamashita; Atsushi Shimada (AIED (6), 2025)

EDNMs for Visual Analytics of Learning Behavior and Early Risk Prediction. - Cheng Tang 001; Bin Li; Haichuan Yang; Gen Li; Li Chen; Boxuan Ma; Atsushi Shimada (AIED (2), 2025)

Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction. - Erwin Daniel López Zapata; Cheng Tang 001; Atsushi Shimada (COLING, 2025)

Single-agent vs. Multi-agent LLM Strategies for Automated Student Reflection Assessment. - Gen Li; Li Chen; Cheng Tang 001; Valdemar Svábenský; Daisuke Deguchi; Takayoshi Yamashita; Atsushi Shimada (PAKDD (5), 2025)

Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance. - Sukrit Leelaluk; Cheng Tang 001; Valdemar Svábenský; Atsushi Shimada (SAC, 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 001; Atsushi Shimada (IEEE Access, 2025)

MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification. - Chunyun Meng; Yuki Todo; Cheng Tang 001; Li Luan; Zheng Tang (Eng. Appl. Artif. Intell., 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 001; Li Luan; Zheng Tang (Expert Syst. Appl., 2025)

Multi-granular legal information fusion with adversarial compensation: A hierarchical and logic-aware framework for robust case retrieval. - Chunyun Meng; Cheng Tang 001; Yuki Todo; Weiping Ding 001 (Knowl. Based Syst., 2025)

Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements. - Sijie Xiong; Shuqing Liu; Cheng Tang 001; Fumiya Okubo; Haoling Xiong; Atsushi Shimada (CoRR, 2025)

LECTOR: Summarizing E-book Reading Content for Personalized Student Support. - Erwin Daniel López Zapata; Cheng Tang 001; Valdemar Svábenský; Fumiya Okubo; Atsushi Shimada (CoRR, 2025)