Cheng Tang

Assistant Professor (Tenured)

Kyushu University

Japan

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About

Cheng Tang is an Assistant Professor (Tenured) at Kyushu University in Japan. His research areas include time series forecasting, legal information fusion, education technology, and image analysis. Recent articles highlight his work on enhancing nonlinear dependencies in forecasting models, and developing robust case retrieval frameworks based on adversarial compensation. Additionally, he explores advancements in convolutional neural networks and educational data analysis through innovative approaches.

Articles (18)

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2025

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2024

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2023

Collaborators (4)

Fumiya Okubo

Associate Professor

Kyushu University

JAPAN

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Atsushi Shimada

Kyushu University

JAPAN

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YUKI TODO

Kanazawa University

JAPAN

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Akimasa Hirata

Director/ Professor

Nagoya Institute of Technology

JAPAN

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Cheng Tang

Research Interests

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Articles (18)

Enhancing nonlinear dependencies of Mamba via negative feedback for time series forecasting

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

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

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

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

Enhancing Convolutional Neural Network Robustness Against Image Noise via an Artificial Visual System

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

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

Sensitivity of Electrocardiogram on Electrode-Pair Locations for Wearable Devices: Computational Analysis of Amplitude and Waveform Distortion

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model

A Hardware-Based Orientation Detection System Using Dendritic Computation

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

An Improved Weighted Cross-Entropy-Based Convolutional Neural Network for Auxiliary Diagnosis of Pneumonia

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

Assessing Residential Building Energy Efficiency Using Evolutionary Dendritic Neural Regression

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

Automated Recommendations for Revising Lecture Slides Using Reading Activity Data

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

Collaborators (4)

Fumiya Okubo

Atsushi Shimada

YUKI TODO

Akimasa Hirata

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