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 However, we do NOT expect you to learn the technologies only since these technologies will be out-of-date one day.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.
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
Natural Language Processing
Summarization, Recommendation, and EDM subject generation
NEWS
Our 4 papers get accepted by ACM Multimedia 2020!
C. H. Sio, Y.-J. Ma, H.-H. Shuai, J.-C. Chen, and W.-H. Cheng, “S^2SiamFC: Self-supervised Fully Convolutional Siamese Network for Visual Tracking,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
Paper, Demo
D.-K. Nguyen, W.-L. Tseng, and H.-H. Shuai, “Domain-Adaptive Object Detection via Uncertainty-Aware Distribution Alignment,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
Paper, Codes
H.-X. Xie, L. Lo, H.-H. Shuai, and W.-H. Cheng, “AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
Paper, Demo
W.-C. Lai, Z.-X. Xia, H.-S. Lin, L.-F. Hsu, H.-H. Shuai, I-H. Jhuo, and W.-H. Cheng, “Trajectory Prediction in Heterogeneous Environment via Attended Ecology Embedding,” ACM International Conference on Multimedia (MM), 2020. (Research Track Paper, accepting rate = 27.8% (472/1698))
Paper, Demo
Summer Trip 2020 @ Taichung
Together with AIMM Lab (2020/7/27-2020/7/29)
Our paper gets accepted by IEEE Sensors Journal!
H.-Y. Chiu, H.-H. Shuai, and P. C.-P. Chao, "Reconstructing QRS Complex from PPG by Transformed Attentional Neural Networks," to appear in IEEE Sensors Journal (accept in May, 2020).
Paper
Source Code
AAAI 2020
2020/2/7-2020/2/12 @ New York Hilton Midtown Hotel
Year-end Party
2020/1/16 @ 銀湯匙泰式火鍋
Our 2 papers get accepted by AAAI 2020
Y.-Z. Song, H.-H. Shuai, S.-L. Yeh, Y.-L. Wu, L.-W. Ku, and W.-C. Peng, "Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation," AAAI Conference on Artificial Intelligence (AAAI), 2020.Demo Website
Y.-H. Chen, P.-Y. Chen, H.-H. Shuai, and W.-C. Peng, "TemPEST: Soft Template-based Personalized EDM Subject Generation Through Collaborative Summarization," AAAI Conference on Artificial Intelligence (AAAI), 2020. Demo Website
ACM MM 2019
2019/10/21-2019/10/25 @ NICE ACROPOLIS Convention Center, France
Our paper gets accepted by MM 2019
Chia-Wei Hsieh, Chieh-Yun Chen, Chien-Lung Chou, Hong-Han Shuai, Jiaying Liu, and Wen-Huang Cheng, "FashionOn: Detail-preserving Image-based Virtual Try-on via Semantic-guided Optimization," ACM International Conference on Multimedia (MM), 2019. Demo Website
Champion of 1st Big Data Analytics for Smart Manufacturing (教育部第一屆全國智慧製造大數據分析競賽首獎)
Yi-Lun Wu and Zhi Rui Tam
1st Japan-Taiwan Workshop on Multimedia & HCI
2019/4/13-2019/4/14 @ NCKU together with Prof. Wen-Huang Cheng and AIMM lab
Our paper gets accepted by CVPR 2019
Hung-Jen Chen, Ka Ming Hui, Szu Yu Wang, Li-Wu Tsao, Hong-Han Shuai, Wen-Huang Cheng, “BeautyGlow: On-Demand Makeup Transfer Framework with Reversible Generative Network,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Demo Website
Year-end Party
2019/1/17 @ 鍋牛鍋物
GLOBECOM 2018
H.-H. Shuai, C.-M. Tsai, Y.-J. Hsu, and T.-C. Hsiao, “On Accelerating Multi-Layered Heterogeneous Network Representation Learning,” IEEE Global Communication Conference (GLOBECOM), 2018.
Workshop on AI & Big Data Analytics
2018/07/09-2018/07/12 @ NCTU
WWW 2018
H.-H. Shuai, Y.-H. Li, C.-C. Feng and W.-C. Peng, “Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments,” International World Wide Web Conference (WWW), 2018. Demo Video
Year-end Party
Together with the labs of Prof. Chang and Prof. Chan (2018/1/23)
Farewell Party for Pei-Yi
Together with Prof. Shen's lab (2017/10/11)
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)
2019/9~
Makeup Transfer, Soma Detection
Yun-Zhu Song
2018/9~(master)
2019/9~
Natural Language Processing
Yi-Syuan Chen
2020/9~
Natural Language Processing, Meta Learning
Thanh Hai Phung
2020/12~
Object Detection
Master Students
Ka Ming Hui
2017/9~
Makeup Transfer, Recommendation for FinTech
Yi-Lun Wu
2019/9~
Generative Adversial Network, Anomaly Detection
Wei-Yu Lin
2019/9~
(co-advised with Prof. Wang)
Reinforcement Learning
Li-Wu Tsao
2020/9~
(co-advised with Prof. Cheng)
Autonomous Driving
Hsiao-Han Lu
2020/9~
Voice Conversion
Yu-Ren Ma
2019/9~
Crowd Density Estimation
Ming-Tse Hsu
2019/9~
Continual Learning
Ya-Fan Yen
2020/9~
Voice Separation
Yu-Chi Chang
2020/9~
Generative Adversarial Nets
Le My Anh
2020/10~
Natural Language Processing
Veterans
Master Students
Cheng-Chun Li
2017/10~2019/2
(co-advised with Prof. Wang)
Reinforcement Learning
(now in MTK)
Dai-Ying Shieh
2017/9~2020/3
Reinforcement Learning, Unity Simulator
Yu-Li Chan
2017/9~2020/3
Anomaly Detection
Hong-Yu Chiu
2018/9~2020/7
Image Completion, PPG Signal Processing
(now in Garmin)
Chon Hou Sio
2018/9~2020/8
Multi-Target Multi-Camera Tracking, Person Re-Identification
(now in RealTek)
Dang-Khoa Nguyen
2018/9~2020/8
Domain Adaptation
Yu-Hsiu Chen
2019/8~2020/8
(co-advised with Prof. Chang)
Personalized Text Generation
(Now in Egis Technology Inc.)
Hsiang-Chun Chang
2018/9~2020/8
Optical Character Recognition
(Now in Micron Technology)
Ping-Yu Chen
2019/9~2020/9
Recommendation System
(Now in GoMore Inc.)
Drop us a line
Address
ED-716, No. 1001, University Road, Hsinchu City, Taiwan.
Phone
+886 3 5712121 #54619
iamshuai[at]gmail[dot]com