|
Researchers |
Titles |
Date |
| 黄 文静 |
Frequency-Guided Prior Estimation for Few-Shot Image Classification via Maximum A Posteriori Framework |
2025.9 |
| 崔 烜鋮 |
Multi-scale Pyramid Structure with Movement Feature Masking for Video Temporal Action Detection |
2025.9 |
| 陳 治昕 |
Contourlet Transform-Based Infrared Image Super-Resolution with Visible Light Image Guidance |
2025.9 |
| 周 佳怡 |
A Study of EEG Emotion Recognition Based on Dynamical Graph Convolutional Neural Network with Transformer and Spatial Attention |
2025.9 |
| 金 軒宇 |
Multi-Variate Transformer with Linkage among Various EEG Features for Emotion Recognition |
2025.9 |
| 劉 景純 |
A Study of Wi-Fi based Multi-User Activity Recognition by Cross-modal Supervision |
2025.3 |
| 秦 淮 |
A Study of 3D Occupancy Estimation via Daul Cross-attention Interaction |
2025.3 |
| 胡 書婷 |
A Study of Sequential Recommendation with Subsequence Extraction Improved by Contrastive Learning |
2025.3 |
| 劉 驍 |
Underwater Image Enhancement by Diffusion Transformer with Guidance |
2025.3 |
| 馮 嵐涛 |
Attention-based Heterogeneous Knowledge Distillation Strategy for Vision Transformers and CNNs |
2025.3 |
| 呉 亦然 |
Power Quality Disturbances Classification Based on CNN Combining Knowledge Distillation and Incremental Learning |
2025.3 |
| 欧陽 詩雨 |
Improving Few-Shot Classification via Multimodal Distribution Alignment and Enhanced Distribution Estimation |
2024.9 |
| 何 汝恒 |
RBF Autoencoder Based Models for Nonlinear Regression with Missing Values |
2024.9 |
| 張 丹 |
A Study of Neural Network Based Hybrid Approach for High-dimensional Imbalanced Data Classification |
2024.9 |
| 朱 順安 |
Federated Multi-Label Zero-Shot Learning with Knowledge Graphs |
2024.9 |
| 徐 子欣 |
3D Human Posture Estimation Based on Multi Cross-layer Adaptive Fusion Hypothesis |
2024.9 |
| 陳 子健 |
Fine-tuning Visual-Language Models with Temporal Pyramid Pooling for Video-Text Retrieval |
2024.9 |
| 潘 梓睿 |
A Training-Free Frameworrk for Text-Driven Video Editing |
2024.9 |
| 馮 偉城 |
Dynamic Gate Control Network with Partial Feature Enhancement for Single Image Super-Resolution |
2024.9 |
| 于 永昊 |
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion |
2024.9 |
| 李 柏承 |
Generating Promising Geometry for Few-shot Neural Radiance Fields |
2024.3 |
| 胡 力文 |
Improving Crowded Object Detection with DCNv2 by Multi-stream Attention Mechanism |
2024.3 |
| 銭 坤 |
A Study of Optimizing YOLO Model for Small Object Detection |
2024.3 |
| 張 瑞祺 |
A Pokemon Battle Evaluator System Based on Monte-Carlo Tree Search and Double-Oracle Algorithm |
2024.3 |
| 陳 銘 |
Mask-wearing compliance detection based on improved YOLOv5 |
2023.9 |
| 張 梓渲 |
Multi-scale Detection with Attention Mechanism for High-resolution Images |
2023.9 |
| 瀋 森 |
A Study of Collaborative Filtering Recommender System Based on Graph Neural Networks |
2023.9 |
| 張 文彧 |
Improving Bug Localization with GGNN and Cross Attention Mechanism |
2023.9 |
| 谭 早 |
A Study of Graph Neural Network Based Recommendation System with Global Search |
2023.9 |
| 劉 洋琳 |
An Improved CenterNet for Oriented Face Detection |
2023.9 |
| 熊 一川 |
Multi-level Item Representation Learning for Sequential Recommendation |
2023.3 |
| 蔡 馨仪 |
Contrastive Learning with Hybrid Loss Function for Solving Item Cold-Start Recommendation |
2023.3 |
| 雷 昕健 |
An Optical Flow Model Improved using Global Correlation Information |
2023.3 |
| 薛 子皓 |
A Study of Sparse Anchor-based Object Detection in Crowded Scenes |
2023.3 |
| 張 珙 |
Multi-Scale Dilated Convolution Networks for Skeleton-Based Action Recognition |
2023.3 |
| 侯 超 |
Residual Network with Multi-Level Channel Attention for Image Super-Resolution |
2023.3 |
| 周 一航 |
Lane Detection Based on Self-learnable Line Anchors and Self-attention Mechanism |
2023.3 |
| 王 子妍 |
Robust Generation of Stylizing Portraits via Facial Geometry Priors |
2022.9 |
| 芮 熙鉴 |
Masked Spectrogram Modeling for Music Source Separation |
2022.9 |
| 蘭 天翔 |
A Study on Shift Consistency of Convolutional Neural Networks |
2022.9 |
| 伊 然 |
Object Detection in Aerial Remote Sensing Scenarios |
2022.9 |
| 厳 柯文 |
Predictor-Corrector Euler Networks (PCE-Net) |
2022.9 |
| 劉 剣飛 |
A Study on Recognition of Badminton Players Swing Based on 3D-CNN and Computer Vision |
2022.9 |
| 梁 博 |
A Co-occurrence Matrix-based Multi-View Graph Neural Network |
2022.9 |
| 陳 培鑫 |
Unsupervised Person Re-Identification vai Non-Local Hybrid Attention and Camera Label Constraint |
2022.3 |
| 邵 慧翔 |
High-Precision Image Registration with Reducing Jacobian Determinant of the Deformation Predicted |
2022.3 |
| 江 浩 |
A Study of Domain Adaptation for Microscopy Image Segmentation |
2022.3 |
| 毛 婧琦 |
Image Based Single-View 3D Reconstruction with Soft-Attention Module |
2021.9 |
| 劉 洪志 |
A Study of Improved Building Extraction Network with Multi-scale Feature Fusion Attention Mechanism |
2021.9 |
| 金 洪韬 |
Coarse-To-Fine Contour and Mask Collaborative Network for Accurate Biomedical Image Segmentation |
2021.9 |
| 陳 成 |
A Study of Action Recognition Based on Representative Frame Selection Method |
2021.9 |
| 劉 和 |
A Study on Cold Start Problems in Recommender Systems with Meta-Learned Method |
2021.9 |
| 陳 徳瀚 |
Improving IR-based Bug Localization by Learning Stack Traces Representation with Autoencoder |
2021.3 |
| 丁 寧 |
Hand-Object Interaction 3D Hand Reconstruction Using Graph Convolutional Neural Networks |
2021.3 |
| 宋 健 |
High-Efficiency Flow-Guided Video Object Detection |
2021.3 |
| 張 羽 |
Transformer-based Long-Short Term Sequential Recommendation with Interest Capsules |
2021.3 |
| 王 瓊卓 |
SVM Based One-class Anomaly Detection with a Quasi-linear Kernel in Realistic Settings |
2020.9 |
| 何 振滔 |
Single-View 3D-Object Reconstruction with Projection Loss |
2020.9 |
| 匡 洋鋳 |
SAN: Sampling Adversarial Networks for Zero-Shot Learning |
2020.9 |
| SU Rui |
Video Object Detection with Squeezed GRU and Information Entropy Attention |
2020.9 |
| 曹 博恒 |
An Aspect-Based Co-Attention Model for Recommendation Task |
2020.9 |
| 沈 文涛 |
Denoised-FPN: Robustness of Object Detector against Unseen Noise through Adversarial Training |
2020.9 |
| MANDAL Souraj |
Classification of Music into Human Emotional Moods Using Graph Based Semi-supervised Learning |
2020.9 |
| 楊 于霄 |
Relation Classification with Multi-level Features |
2020.9 |
| 楊 景聿 |
Survival Analysis of Brain Metastases Using Deep Learning Method |
2020.9 |
| 余 俊天 |
A Study of Multilayer Perceptron Pretraining for Composing Quasi-Linear Kernel |
2020.3 |
| 王 鈺龍 |
Composite Relational Network for Click-Through Rate Prediction |
2020.3 |
| 易 衍智 |
Image Captioning Evaluation: A Combined Metrics Method Based on BERTScore |
2020.3 |
| 邹 帥 |
Speckle Noise Reduction in Digital Holograms Based on Spectral Convolutional Neural Networks |
2020.3 |
| 温 進豪 |
Monocular Camera Distance Measurement Based on Keypoint Detection |
2019.9 |
| 陳 家钊 |
A Study of Action Recognition Based on Group-of-Pictures |
2019.9 |
| 張 健申 |
GAN with Reinforcement Learning for Style-Specific Music Generation |
2019.9 |
| 滕 安琪 |
Celestial Spectral Classification Based on Deep Learning Approach |
2019.9 |
| 馬 詩慧 |
A Study of Lip Reading Using Deep Neural Networks |
2019.9 |
| 樊 星宇 |
Arbitrary Scale Image Super-Resolution Based on Deep Residual Networks |
2019.9 |
| 李 岩澤 |
Quasi-linear SVM with Local Offsets for High Dimensional Imbalanced Data Classification |
2019.3 |
| 王 樹宇 |
Return Prediction based on Discriminating Market Styles with Reinforcement Learning |
2019.3 |
| 楊 瑞東 |
Efficient Multi-Category Keypoints Detection of Apparel Using Shifted Pyramid Networks |
2019.3 |
| 李 子王 |
An Improved Attention Mechanism for Sentence Level Sentiment Analysis |
2019.3 |
| 劉 泉 |
A Study of Generative Adversarial Network Based Image Compression |
2019.3 |
| 鄧 航宇 |
A Deep Reinforcement Learning Algorithm for the Protein Folding Problem in the HP Lattice Model |
2019.3 |
| 萧 群逸 |
Arrhythmias Detection Based on Electrocardiogram Using Deep Learning Approach |
2019.3 |
| 王 禹新 |
Margin-based Multiple Instance Learning with Auto-encoder |
2018.9 |
| 崔 宇 |
A Convolutional Auto-encoder Method for Anomaly Detection on System Logs |
2018.9 |
| 孫 一平 |
A Study of Improving Relation Classification by Multiple Granularity Word Selection |
2018.9 |
| 任 彦妮 |
A Study of Deep Quasi-Linear Kernel Construction Using Semi-supervised Variational Model |
2018.9 |
| MIRANDA James |
Selective Feature Extraction via Mutually-Competitive Autoencoder for Protein Function Prediction |
2018.9 |
| 姚 雪芹 |
A Study of Neural Network Based Kernel Learning for Support Vector Machine |
2018.9 |
| 王 煜東 |
Neural Network Based Kernel Learning Method for One-Class Support Vector Machine |
2018.3 |
| 叶 声雲 |
A Study of Neural Programmer-Interpreters with Attention and Deep Residual Network for Generating Codes |
2018.3 |
| 梁 垿 |
Hierarchical Multi-label Classification Using Dynamic Local Multi-layer Perceptrons |
2018.3 |
| 許 匡正 |
A Study of Auto-Encoder Based Feature Fusion for Protein GO Annotation |
2018.3 |
| 江 遠 |
Cascaded Fully Convolutional Networks for Object Boundary Detection |
2018.3 |
| 劉 漢語 |
A Kernel Learning Method to SVR Based Model for Nonlinear System Identification |
2018.3 |
| 周 家億 |
Multi-Channel Sliced Deep RCNN with Residual Network for Text Classification |
2017.9 |
| 楊 凱丹 |
Collaborative Filtering-Based Recommendations with Recurrent Neural Networks |
2017.9 |
| 陳 雅雯 |
Building Multiple Local Classifiers for Nonlinear Classification Using SVM with Quasi-linear Kernel |
2017.9 |
| 袁 欣 |
A Study of Autoencoder Based Feature Extraction for Protein Function Annotation |
2017.9 |
| 方 鵬程 |
Face Generation Based on Generative Adversarial Nets with Perceptual Loss |
2017.9 |
| 李 涵深 |
A Multi-NARX Neural Network Model for Short-term Load Forecasting |
2017.9 |
| 李 鶴 |
A Study of Nonlinear Spatial Filters for EEG Signal Classification |
2017.9 |
| 劉 東航 |
Fast SVM Training on High-Dimensional Large Datasets |
2017.3 |
| 曹 炜 |
Stacked Residual Recurrent Neural Network with Word Weight for Text Classification |
2017.3 |
| 趙 軒 |
Random Forest Based Quasi-Linear Kernel Composition for Support Vector Machine |
2017.3 |
| 王 朋松 |
Quasi-Linear SVM with Offset for Imbalanced Data Classification |
2017.3 |
| 周 思賢 |
A Study of Smartphone User Input Inference Based on Convolutional Neural Network |
2017.3 |
| 王 嘉宇 |
A Study of Backtracking Methods for EDA Based on Protein Folding Prediction on 3D HP Model |
2017.3 |
| 金 成虎 |
準線形サポートベクターマシンを用いた侵入検知に関する研究 |
2016.9 |
| 王 文全 |
Quasi-Linear SVM with Distance Metric Learning for Classification |
2016.9 |
| 朱 楠 |
An Improved Backtracking Method for Protein Folding Based on HP Model Using EDA |
2016.9 |
| 鄧 蓉 |
Multi-Instance Classification Using Quasi-Linear Fuzzy Support Vector Machine |
2016.9 |
| 鄧 盈 |
A Study of Sentiment Analysis Based on Convolutional Neural Network |
2016.9 |
| 楊 達 |
A Fast Fuzzy Support Vector Machine Using Data Selection Based on Mahalanobis Distanc |
2016.9 |
| 李 瑋特 |
Geometry Based Quasi-linear Support Vector Machine for Nonlinear Classification |
2016.3 |
| 張 力 |
Multi-label Learning with Label Correlation Based on RBF Network |
2016.3 |
| 曹 虹蛟 |
Labels' Probability Distribution Based k-labelset Method with Joint Learning for Multi-label Classification |
2016.3 |
| 宋 孟楠 |
A Hybrid Semi-Supervised Method for ClassRBM |
2015.9 |
| 葛 瑞年 |
Quasi-linear One-Class SVM and Its Application to Imbalance Data Classification |
2015.9 |
| 郭 径材 |
An Improved Incremental Training Approach for Support Vector Machine |
2015.9 |
| 張 雯忻 |
An MST Approach to Improving Oversample Method for Imbalanced Dataset Classification |
2015.9 |
| 董 超 |
A Hierarchical SVM Based Multiclass Classification by Using Similarity Clustering |
2015.3 |
| 黃 榆翔 |
A Comparing Study of Feature Selection for SVM-based Evaluation System of Scooter Market |
2015.3 |
| 傅 頔 |
Improving SVM Based Multi-label Classification by Using Label Relationship |
2015.3 |
| 陸 凱 |
An Improved Training Approach to Transductive SVM for Semi-Supervised Data Classification |
2015.3 |
| 林 隽曦 |
An SMO Approach to Fast SVM for Classification of Large Scale Data |
2014.9 |
| 蘇 霖 |
SOM Based Quasi-ARX Model for Nonlinear System Identification |
2014.9 |
| 曾 皓麟 |
Building a Car Consumers Purchase Intention Evaluation System Based on Fuzzy DANP and Weighted SVM Model |
2014.3 |
| 罗 咏欣 |
Enhanced Differencial Evolution by Cleaning Niching Method |
2014.3 |
| 胡 晨龍 |
Fast-one Class SVM Training Using Edge Detection on Large Datasets |
2014.3 |
| 汤 慧煜 |
An Improved Correlation-based Feature Subset Selection Method Using OLS Algorithm |
2014.3 |
| 付 勇 |
Modular SVR Prediction Model with Range Break-out Detection Based Partion |
2014.3 |
| 賀 雯 |
Forex Prediction Using Neural Network by Considering the Influence of Policy |
2013.9 |
| 車 馳 |
Quasi-ARX NN Based Adaptive Control of Nonlinear Systems by Using An Improved Fuzzy Switching Mechanism |
2013.9 |
| 粟 晨 |
Stock Trading Signal Detection Based on SVR and PLR Approaches |
2013.9 |
| 楊 程 |
A Hierarchical Clustering Method with PCA-based Cluster Merging for Quasi-linear SVM |
2013.3 |
| 張 宏灏 |
An Improved SMO Algorithm for Quasi-linear SVM Training |
2013.3 |
| 黄 晟 |
Enhanced Differential Evolution with Self-adaptive Control Parameters |
2013.3 |
| 曾 菁 |
SVRハイブリッド法による準線形ARXニューロファジイモデルの同定 |
2012.3 |
| Xiaoying MA |
Support Vector Machine with Composite Kernel for Gene Function Classification |
2011.9 |
| 于 淼 |
マルチステップ非線形多項式モデルの同定に関する研究 |
2011.3 |
| Feiran SUN |
A Guided Partition Method for Building Multi-SVM System |
2011.3 |
| Shengkai FANG |
Credit Rating Prediction Based on Support Vector Machine |
2011.3 |
| Chungyen HUANG |
Intrusion Detection System Using Fast Training SVM Combined with SMOTE |
2011.3 |
| Gufei SUN |
Overlapping Discriminative Common Spatial Pattern Method for Motor Imagery Brain-Computer Interface |
2010.9 |
| 張 峰 |
ウェーブレットネットワークを用いた準ARXモデルとその同定 |
2010.9 |
| Weiwun SYU |
A Bankruptcy Prediction Method Based on Support Vector Machine Combined with Feature Selection Analysis |
2010.9 |
| Yuling LIN |
Building Stock Evaluation System Based on A Quasi-Linear Regression Model |
2010.9 |
| Zheng JIANG |
Commodity Futures Prediction by Using MOdular SVM |
2010.9 |
| Weifeng GU |
Combining Binary-SVM and Pairwise Label Constraints for Multi-label Classification |
2010.9 |
| Longyuan LUAN |
Adaptive Color Image Clustering System Based on a Two-level Structure |
2009.9 |
| Jian ZHOU |
Multi-label Classification Based on Support Vector Machine |
2009.9 |
| Kuoting CHIEN |
Building a Stock Selection System Based on ANP and Weighted SVM |
2009.9 |
| Jiaxing MA |
Glomerulus Extraction by Using Genetic Algorithm for Edge Patching |
2009.9 |
| Liji CANG |
An Adaptive Threshold Strategy for Multi-label Classification |
2009.9 |
| Bo ZHOU |
An Improved Method for Pattern Recognition in Stock Series |
2009.9 |
| Yiheng XU |
A Cooperative Particle Swarm Optimization for Combinatorial Problems |
2009.3 |
| Qiangwei WANG |
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine |
2009.3 |
| Wenxiang DOU |
Quick Response Multi-Relational Data Mining Based on Genetic Algorithm |
2008.9 |
| Liangpeng MA |
An Improved SVM Classifier with Soft Decision Boundary for Gene Classification |
2008.9 |
| Fei LIU |
Shortest Route Problem Based on Genetic Algorithm |
2008.9 |
| Long LI |
A Novel Invalid Structure Repairing Method for Protein Structure Prediction Using Genetic Algorithm |
2008.9 |
| Tie ZHANG |
A Trading Strategy Based on Moving Average Using Neural Network Predictor |
2008.9 |
| Zhifeng ZHANG |
An Approach of Forex Prediction Based on SVR Network |
2008.9 |
| Wenli WANG |
Stock Trading System Based on Technical Trading Rules by Using Neural Network Approach |
2008.9 |
| Yang CHEN |
An Improved Genetic Algorithm with Reserve Selection for Global Optimization |
2007.9 |
| Jing JI |
An Improved Method for Identification of Quasi-ARMAX Model |
2007.9 |
| Lei HUANG |
Design of Prediction Module for FX Trading System Based on Time Series Analysis |
2007.3 |
| 程 学飛 |
遺伝的アルゴリズムによる非線形多項式モデルの二ステップ同定 |
2007.3 |
| Boyang LI |
Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification |
2006.9 |
| 磯野 功典 |
機能局在型ニューラルネットワークのための効果的な訓練法に関する研究 |
2006.3 |
| Ting HE |
Hybrid Methods Using Genetic Algorithm for Training Overlapping Multi-Neural-Network |
2005.3 |
|
盧 煕彬 |
ホモトピー連続法を用いた準ARXニューラルネットワークのBP学習の性能向上に関する研究 |
2005.3 |
| 李 殷実 |
データベースの構築による非線形多項式モデルの同定に関する研究 |
2005.3 |
