activity
20042025
most citedPerformance Prediction in Major League Baseball by Long Short-Term Memory Networks

4 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025

Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations

Chia-Heng Yu, Yen-Lung Tsai

Traditional Retrieval-Augmented Generation (RAG) systems employ brute-force inner product search to retrieve the top-k most similar documents, then combined with the user query and…

cs.CL2025

ScoreRAG: A Retrieval-Augmented Generation Framework with Consistency-Relevance Scoring and Structured Summarization for News Generation

Pei-Yun Lin, Yen-lung Tsai

This research introduces ScoreRAG, an approach to enhance the quality of automated news generation. Despite advancements in Natural Language Processing and large language models, c…

cs.LG2022★ 4 cited

Performance Prediction in Major League Baseball by Long Short-Term Memory Networks

Hsuan-Cheng Sun, Tse-Yu Lin, Yen-Lung Tsai

Player performance prediction is a serious problem in every sport since it brings valuable future information for managers to make important decisions. In baseball industries, ther…

stat.ML2018★ 1 cited

An Application of HodgeRank to Online Peer Assessment

Tse-Yu Lin, Yen-Lung Tsai

Bias and heterogeneity in peer assessment can lead to the issue of unfair scoring in the educational field. To deal with this problem, we propose a reference ranking method for an…

cs.CV2017

Variational Grid Setting Network

Yu-Neng Chuang, Zi-Yu Huang, Yen-Lung Tsai

We propose a new neural network architecture for automatic generation of missing characters in a Chinese font set. We call the neural network architecture the Variational Grid Sett…

math.AG2011

Working with Tropical Meromorphic Functions of One Variable

Yen-lung Tsai

In this paper, we survey and study definitions and properties of tropical polynomials, tropical rational functions and in general, tropical meromorphic functions, emphasizing pract…