2023

Congrats to our team! Our study, "A DEEP LEARNING-BASED HEPATOCELLULAR CARCINOMA STAGING SYSTEM BY MULTI-PHASE COMPUTED TOMOGRAPHY," was invited to be highlighted by AASLD 2023 and was presented in the HCC debrief session!!

Congrats to our team! Our article, "A Multi-Phase Deep Learning Approach for Predicting Hcc Response to Tace Using Complete Computed Tomography," was accepted for the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology that is being held at the Hilton Malta, December 7-9, 2023!!!

Welcome 簡大容, 游欣蓓, 高靖, 林少恩, Muhammad joining our lab!!!

Welcome 蔡政宏 joining our lab!!!

Congratulations to our lab member, Tzu-Chen Huang, for his paper, "Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data," is accepted by 2023 EMBC!!

Congratulations to our lab member, Hsu-Hsiang Chang, for his paper, "Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate," is accepted by 2023 EMBC!!

Congratulations to our lab member, Lok-In Tsui, for his paper, "NG-DTA: Drug-target affinity prediction with n-gram molecular graphs," is accepted by 2023 EMBC!!

Congratulations to our lab member, Yi-Hsien Hsieh, for his paper, "X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction," is accepted by 2023 EMBC!!

2022

Congratulations to our lab member, Bo-Run, Wu, for his paper, "Multi-Cancer Prognosis Prediction with Multi-Task Learning Integrating RNA Sequencing and Clinical Data," is awarded 111 IEEE Taipei Section 碩士論文獎!

Congrats to our team! Our article, "Learning from Small Medical Data - Robust Semi-supervised Cancer Prognosis Classifier with Bayesian Variational Autoencoder," was accepted by Bioinformatics Advances!!!

Congratulations to our lab member, Tanoj for winning Poster Presentation Award by Taiwan Society of Evolution and Computational Biology in Multiomics and Precision Medicine Joint Conference!

Congratulations to our lab member, Pei-Ying Liu, for his paper, "Using Lightweight Self-attention Based Models on High Missing Rate Time Series Electronic Health Records," is awarded 111 中國電機工程學會(The Chinese Institute of Electrical Engineering)「青年論文獎」!

Welcome 徐嬿鎔, 鄧又誠, 游筑鈞, 張舜程, 林宗暐, 簡立誠, Jefferson, Sofia, 劉建甫 joining our lab!!!

2021

Welcome 徐麗茵 joining our lab!!!

Congratulations to our lab member, Andy Hsu 許德丞, for winning the THIRD place in the EMBS Student Paper Competition for the 43rd Annual International Conference of Engineering in Medicine and Biology 2021!!!

Congrats to our team! Our article, "A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks," was accepted by IEEE Transactions on Wireless Communications!!!

Welcome 黃奕翔, 魏嘉芯, 江軍, 黃俊愷, 徐樂然, Berke Uğurlu  joining our lab!!!

Congrats to our team! Our article, "Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction," was accepted by Scientific Reports!!!

Congrats to our Lab! Our journal, "Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning" ranks in 31th of 2020 top 100 most downloaded journals on Scientific Reports!!! Such a big HONOR to us!!!

Congrats to our team! Our article, "A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks, " was accepted by IEEE Transactions on Wireless Communications!!!

2020

Congrats to our team! Our article, "Establishment of an Immunocompetent Metastasis Rat Model with Hepatocyte Cancer Stem Cells," was accepted on Cancers from MDPI Cancers Editorial Office!!!

Congratulations on our lab member, Jane Wu 吳宜臻, being a winner of the IEEE ComSoc Student Travel Grant for Globecom 2020! 

Welcome Tanoj, Junver, 徐顥維, 張舒翔, 黃子宸, 洪明邑 joining our lab!!!

Our paper "Generative Adversarial Networks for Robust Breast Cancer Prognosis Prediction with Limited Data Size" has been accepted for presentation at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20) to be held at the Palais des congrès de Montréal, Montréal, Québec, Canada July 20-24, 2020.

Our paper was accepted to Scientific Reports, a journal of the Nature Research family. Great job for all the team members and co-authors! Paper title: "Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning" 

Congrats to Divyanshu Daiya and Min-Sheng Wu for their paper "Stock Movement Prediction that integrates heterogeneous data sources using Dilated Causal Convolution Networks with Attention," accepted to IEEE ICASSP 2020!!!

Before 2020