Oral presentation at PANDA Challenge Workshop (MICCAI 2020)
October 08, 2020
We present our work “Gleason grading of biopsies using an attention-based multi-resolution model ensembled with LGBM and XGBoost” in the PANDA challenge workshop of MICCAI 2020. We won “Best Presentation Award” runner-up. Read More
PhD defended!
September 23, 2020
Today is a big day for me. After five-year’s study, I have successfully defended my PhD dissertation “Improving Data Efficiency on Histopathology Image Analysis Using Deep Learning”. I am really grateful to everyone’s support and encouragement throughout my phd journey.
Paper accepted by Machine Vision and Application (Springer)
May 30, 2020
Our paper “Semi-supervised Learning using Adversarial Training with Good and Bad Samples” has been accepted by Machine Vision and Application (Springer). In this study, we combine good synthetic images and bad images (complementary data) to boost image classification accuracy in semi-supervised learning scenario. Read More
Facebook social search
May 11, 2020
Our paper “A Social Search Model for Large Scale Social Networks” is online now. In this paper, we present facebook solution to large-scale social search by first introducing a social retrieval mechanism, and then investigate novel deep neural networks for the ranking problem. Read More
Paper accepted by CVPR 2019 workshops
June 13, 2019
Our paper “Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach” has been accepted by CVPR LID 2019 workshop. Our paper “An attention-based multi-resolution model for prostate whole slide imageclassification and localization” has been accepted by CVPR MVD 2019 workshop. Read More
Paper accepted by NIPS ML4H 2018 workshop
November 13, 2018
Our paper “Semi-supervised Rare Disease Detection Using Generative Adversarial Network” has been accepted by NIPS ML4H 2018 workshop. We provide a semi-supervised learning framework for rare disease detection. In addition, I am awarded a travel grant. Read More
Paper published in IEEE Trans on Medical Imaging
October 02, 2018
Our paper “Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images” has been accepted by IEEE Trans on Medical Imaging. We provide a multi-task learning framework on prostate cancer diagnosis and gleason grading. Read More
Paper published in Neural Computation
September 30, 2018
Our paper “A Basic Phase Diagram of Neuronal Dynamics” has been accepted by Neural Computation. We construct a brain phase diagram using neuromorphic chip and compare it with clinical data. Read More
2018 Machine Learning Summer Intern at IQVIA
July 01, 2018
Started three months machine learning research internship at IQVIA. IQVIA, formerly Quintiles IMS Holdings, Inc., is an American multinational company serving the combined industries of health information technologies and clinical research. Read More
Talk on GRS: Advanced Health Informatics, Hong Kong, China
June 17, 2018
Talk “Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images” was given on GRS: Advanced Health Informatics, Hong Kong, China Read More