李育杰

Secure Aggregation in Federated Learning for Linear Models

應用數學系・共同指導：張書銘

聯邦式學習、同態加密、安全聚合、Federated Learning、Homomorphic Encryption、Secure Aggregation

Multi-document summarization with hierarchical concatenation and sparse attention

數據科學與工程研究所

多篇文章摘要、階層式結合、注意力機制、稀疏性注意力機制、Attention、Transformer、Sparse attention、Rouge、Multi-document summarization、Hierarchical concatenation

Traveling waves in quadratic autocatalytic systems with complexing agent

應用數學系所・共同指導：蔡志強

二次自催化、錯合劑、快速反應、行進波、quadratic autocatalysis、complexing agent、fast reaction、traveling waves

Ensemble-based Targeted Adversarial Training Secure AI System

應用數學系所

對抗性訓練、集成模型、模型穩健性、對抗性攻擊、深度學習、Adversarial training、ensemble model、model robustness、adversarial attack、deep learning

Gaussian Mixture Model with Embedded Topic Modeling

數據科學與工程研究所

主題模型、字嵌入、深度學習、變分自動編碼器、高斯混和模型、topic modeling、word embedding、deep learning、variational autoe-encoder、gaussian mixture model

Two-Step Clustering Adversarial Defense

應用數學系數學建模與科學計算碩士班

深度學習、對抗式防禦、群集函數、對抗式訓練、模型魯棒性、Deep Learning、Adversarial Defense、Clustering Function、Adversarial Training、Model Robustness

A Real-Time Scoring System for Fake News and Disinformation

數據科學與工程研究所

假新聞、不實訊息、支撐向量機、自然語言處裡、機器學習、Fake News、Disinformation、SVM、NLP、Machine Learning

Federated Principal Component Analysis

數據科學與工程研究所

主成分分析、聯邦式學習、分散式學習、大規模機器學習、Principal Component Analysis、Distributed learning、large-scaled machine learning

Dynamic Selection for Multivariate Time Series with Attention Networks

數據科學與工程研究所

多變量時間序列、神經網路、注意力集中模型、Multivariate Time Series、Neural Network、Attention Model

Semi-Supervised Learning via Clustering Representation Space

應用數學系數學建模與科學計算碩士班

半監督式學習、深度學習、分群、semi-supervised learning、deep learning、clustering、embedding latent space

Using Envelope Representation for Myocardial Infarction Classification

應用數學系數學建模與科學計算碩士班

心肌梗塞、心電圖、Envelope、時間序列、K-平均演算法、Myocardial Infarction、ECG、Time series、K-means

An Interpretable Ensemble Deep Learning Model on Malware Classification

數據科學與工程研究所

惡意程式分類、集成模型、可解釋性人工智慧、malware classification、ensemble model、explainable AI

Channel-Aware User-Antenna Coclustering for Networked MIMO Systems

應用數學系所・共同指導：林靖茹

MIMO、CoMP clustering

Continuous Monitoring the Ambient Factors via ε-Smooth Support Vector Regression

應用數學系數學建模與科學計算碩士班

平滑⽀持向量迴歸、覆蓋洞問題、距離反⽐加權法、均勻設計、Smooth support vector regression、Coverage hole problem、Inverse distance weighting、Uniform design

Malware Detection by Binary Structures with Convolutional Neural Network

數據科學與工程研究所

深度學習、機器學習、惡意程式分類、machine learning、deep learning、malware classification

Optimizing Virtual Assistant for Customer Service through Clustering Model Based on Short Sentences Similarity Matrix

數據科學與工程研究所

短句相似度、詞向量、譜分群、拉普拉斯矩陣、short sentences similarity、word to vector、spectral clustering、graph Laplacian

Distributed Consensus Reduced Support Vector Machine

應用數學系數學建模與科學計算碩士班

分散式機器學習、隱私保護、大規模機器學習、Distributed Machine Learning、Privacy Preserving、Large-Scale Machine Learning

Analysis of Subtle Human Activity Recognition Using Wearable Sensors

應用數學系所

⼈類肢體動作辨認、機器學習、穿戴式感知器、⾏為分析、細微事件、human activity recognition、machine learning、wearable sensors、behavior analysis、subtle events

Modeling Bitcoin Transaction-Confirmation Time with Queueing Theory

應用數學系所・共同指導：彭南夫

比特幣、交易確認時間、排隊理論、Bitcoin、transaction-confirmation time、queueing theory

Predicting Online User Purchase Behavior Based on Browsing History

資訊科學與工程研究所・共同指導：彭文志

瀏覽⾜跡、電⼦商務、購買意願、網站互動特徵、循環神經網路、browsing logs、e-commerce、purchase intention、interact features、recurrent neural network

The Detection of Cramped-Synchronized General Movements Based on the Video Analysis

應用數學系數學建模與科學計算碩士班

全身運動評估、腦癱、早產兒、橢圓近似、支持向量機器、general movements、preterm infants、cerebral palsy、ellipse approximation、SVM

Anomaly Detection on High Dimensional Dataset with Online Over-Sampling Principal Component Analysis and Spectral Clustering

應用數學系所

異常偵測、線上學習、多倍樣之主成分分析、譜分群、圖拉普拉斯、擾動理論、Anomaly Detection、Online Updating、Over-Sampling Principal Component Analysis、Spectral Clustering、Graph Laplacian、Perturbation Theory

A Study on Generative Adversarial Net

應用數學系所

深度學習、生成對抗模型、Deep learning、Generative Adversarial Net

Heterogeneous Deep Embedding Network for Fraud Detection in E-commerce Platform

資訊科學與工程研究所・共同指導：彭文志

深層神經網路、機器學習、詐騙偵測、電商系統、fraud detection、deep learning、online auction fraud、online shopping

Virtual Assistant for Customer Service in Text

資訊科學與工程研究所・共同指導：彭文志

深度學習、聊天機器人、Deep Learning、Chatbot

A Survey of Algorithms and Analysis for Stochastic Gradient Methods

應用數學系數學建模與科學計算碩士班

機器學習、最佳化、隨機梯度法、巨量資料、Machine Learning、Optimization、Stochastic Gradient Descent、Large-Scale Problems

Stochastic Newton Method for Large Scale Nonlinear Support Vector Machine

應用數學系數學建模與科學計算碩士班・共同指導：吳金典

隨機最佳化、在線機器學習、支持向量機、非線性支持向量機、縮減核函數技術、二元分類、牛頓法、隨機牛頓法、stochastic optimization、online machine learning、support vector machine、nonlinear support vector machine、reduced kernel trick、binary classification、Newton method、stochastic Newton method