Welcome to BASIC LAB

(Big data Analytics and Social Intelligent Computing Laboratory)

Explore us

About BASIC LAB

Our laboratory was established on August 1st, 2016, in National Chiao Tung University (NCTU), and named Big data Analytics and Social Intelligent Computing Laboratory (BASIC Lab). The focus of our research is on data science for heterogeneous data including biological sensors, images, videos, graphs, texts, and transactions. Specifically, data science is a multifaceted field used to gain insights from complex data. For example, social media data collection, data cleaning, machine learning, and visualization can be applied to analyze the customers’ data and provide insights for e-commerce. Although data science looks sexy, it is challenging to apply it to different kinds of data because of 1) large-scale streaming data, 2) noisy and incomplete data, 3) complicated interplays between different data sources, and 4) lack of ground truth. Therefore, to tackle the challenges, the goal is to design elegant algorithms to effectively and efficiently gain insights from the data. Different kinds of approaches are proposed according to the data characteristics, e.g., deep learning, tensor decomposition, dimension reduction. However, we do NOT expect you to learn the technologies only since these technologies will be out-of-date one day. Try to learn the abilities to learn new things and solve unsolved challenges.

Success is not final; failure is not fatal: It is the courage to continue that counts.

Winston S. Churchill

What we do?

Computer Vision

Generative model, detection, enhancement, and recognition

Social Network Analysis

Group query, user behavior modeling, and online intervention

AI SOC

Model compression and computation acceleration


Internet of Things

Security, sensing data processing, and AI-enabled computation

Reinforcement Learning

Automatic landing, collision-avoidance navigation

FinTech

Recommendation, EDM generation, and churn prediction

NEWS

Our team

Ph.D. Students

Wei-Lun Tseng

2017/9~(master)

2018/9~

AI SOC, Microwave Imaging Techniques for Object Detection

Jui-Yi Tsai

2018/2~

Social Network Analysis, Knowledge Graph Management

Kurt Hung

2018/9~

AOI Anomaly Detection, Image Generative Model


Hung-Jen Chen

2017/9~(master)

2017/9~

Makeup Transfer, Soma Detection


Yun-Zhu Song

2018/9~(master)

2019/9~

Natural Language Processing









Master Students

Dai-Ying Shieh

2017/9~

Reinforcement Learning, Unity Simulator


Ka Ming Hui

2017/9~

​Makeup Transfer, Recommendation for FinTech


Yu-Li Chan

2017/9~

Anomaly Detection






Hong-Yu Chiu

2018/9~

Image Completion, PPG Signal Processing


Chon Hou Sio

2018/9~

Multi-Target Multi-Camera Tracking, Person Re-Identification

Hsiang-Chun Chang

2018/9~

​Optical Character Recognition






Dang-Khoa Nguyen

2018/9~

Model Compression


Yi-Lun Wu

2019/9~

Generative Adversial Network, Anomaly Detection


Ping-Yu Chen

2019/9~

Recommendation System







Wei-Yu Lin

2019/9~

(co-advised with Prof. Wang)

​Reinforcement Learning


Yu-Hsiu Chen

2019/8~

(co-advised with Prof. Chang)

Personalized ​Text Generation


Li-Wu Tsao

2020/9~

(co-advised with Prof. Cheng)

Autonomous Driving






Hsiao-Han Lu

2020/9~

​TBD


Yu-Ren Ma

2019/9~

TBD


Ming-Tse Hsu

2019/9~

TBD


Drop us a line

Address

ED-716, No. 1001, University Road, Hsinchu City, Taiwan.

Phone

+886 3 5712121 #54619


Email

iamshuai[at]gmail[dot]com