Category Archives: research

Welcome to visit Dr. Chung-Shou Liao’s lab! Our research mainly focuses on designing efficient algorithms that can be used to solve difficult combinatorial optimization problems from real applications. Our lab has developed approximation algorithms with theoretical analysis for well-known hard … Continue reading →

Honors and Award News 2024.06. Our lab extends the collaboration with Unimicron on two projects: AI Models for Anomaly Pattern Identification and Knowledge Graph for Application Management. 2024.03. Our PI receives 2023 NSTC Outstanding Research Award. 2024.01. Sheng-Yen Ko’s paper, … Continue reading →

Clustering algorithms have been widely studied in many scientific areas, such as data mining, knowledge discovery, bioinformatics and machine learning. More specifically, cluster analysis which is an essential technique for unsupervised learning, aims to find the underlying structure of a … Continue reading →

Machine learning aims at dealing with uncertainty and making predictions about the future scenarios in the unknown environment. The core idea of coping with such uncertainty, or decision making without knowing the information of future input is very similar to … Continue reading →

Modern technologies such as Global Positioning Systems (GPS) and mobile communication have contributed to the development of dynamic navigation planning based on real-time information. However, traffic conditions vary enormously and unpredictable accidents significantly affect planned routes, which increase the problem … Continue reading →

Nowadays online recommendation systems aim at offering a wide range of up-to-date information and providing personalized recommendations since people usually read news shortly. However, existing studies/systems either recommend news from the same media platform or just bring multiple sources of … Continue reading →