Annual Summary for 2023

Sorry about the late arrival of my last year’s summary. The end of the pandemic really made my 2023 wonderful, as I have traveled to a lot of places and met a lot of friends.1. MICCAI Accepted My PaperIn my previous <a href="/blog/rethinking-...
Published on May 31, 2024 | 1 min read

Fixing System Errors Before Daemon Services Startup

The Problem I EncounteredSo I have updated the Linux Kernel of a server of our lab yesterday, and hence many packages need to be upgraded to the compatible version as well. There are a few dependency problems during the package updating process, but wi...
Published on December 08, 2023 | 3 min read

Rethinking Instance Representation Learning in Multiple Instance Learning

Recently I have been working on a new Multiple Instance Learning (MIL) framework that can couple the patch representation learning with the bag-level classification. The process has been pretty hard, since I also have to deal with other businesses at the same time. However, I am still very exc...
Published on May 05, 2023 | 3 min read

Annual Summary for 2022

As the third year of this COVID-19 pandemic (and seems like the last year), 2022 is an ordinary but somewhat also special year for me. I got rejected three times on a paper, helped an undergraduate student, upgraded several machines, and started the very beginning of a visiting tour to Hong Ko...
Published on March 20, 2023 | 3 min read

Pathology Data and How to Handle Them

I have to admit that pathology data are really hard to deal with.Whole Slide ImagesA pathology dataset contains many Whole Slide Images (WSI). WSIs are designed to be like microscope images. Therefore, it also includes images of different magnificati...
Published on November 07, 2022 | 4 min read

Large File Transfer between Windows (NTFS) and Linux (Ext4, etc)

Currently I am working on research related to pathology datasets, and as you may know, these images are usually extremely large. For example, a .tif whole slide image from a Phillips machine can cost me about 2.3G disk space, and remember, remember that it is just ONE SINGLE image. For my path...
Published on September 20, 2022 | 3 min read

Pure MLP Methods And What They Are Suitable For

Previously I have spent some time researching pure MLP-based segmentation methods. I did find some amazing work that plays all kinds of tricks on MLP, but still, I gave up on segmentation MLPs in the end. Generally speaking, MLPs are not suitable for dense prediction tasks unless some groundbr...
Published on September 05, 2022 | 3 min read

Parameter Compression Based on Probability Density Function: An Idea

I was thinking about using the probability density function to describe a parameter matrix. I don’t know if it is feasible but theoretically speaking it is at least “runnable”.Why do we need model compressionThere are many reasons to em...
Published on July 20, 2022 | 1 min read

Pooling Should Also Go Non-Local

Convolution has become dominant in visual tasks for a very long time. In recent years, people have argued that convolution lacks the ability to model long-range dependencies and propose to use Non-Lcoal operations to make up for this flaw. For example, in CVPR2018, Xiaolong Wang et al. propose...
Published on April 06, 2022 | 2 min read

3D Vision Transformer: Challenges

Recently I have been working on designing 3D Vision Transformers for medical images. I have found many problems in my experiments, and I will list some of them in this blog.Challenges 1: Computational CostComputational cost can be mainly...
Published on January 10, 2022 | 3 min read

T-Test for Model Performance Evaluation

Recently one of my reviewers asked me to conduct a t-test on my model to verify if it is statistically different from other sota methods. In this blog, I will briefly introduce t-test and tell you how to use it to evaluate your deep-learning models.What is T-Test?...
Published on January 05, 2022 | 3 min read

Annual Summary for 2021

As the second year of this COVID-19 pandemic, 2021 is actually not so bad. Even though our movement was restricted, there are still some unique experiences that worth remembering.1. Attending an International ConferenceThis year ...
Published on December 29, 2021 | 2 min read

Decomposition For Light-Weight Vision Models

Decomposition, as the most intuitive method for reducing memory cost, has been forgotten by people since it usually leads to performance degradation as well. This article reviews decomposition in deep learning and also introduces some great work in this field.In the deep learning era,...
Published on December 20, 2021 | 2 min read

Introductions

Hello, my name is Hongyi and this website is used as my personal page to post new information or blogs. You can find my related publications in the header-&gt;more-&gt;publications. You can ask any questions about my works through any channel I provide publicly (such as leaving a comment under...
Published on December 17, 2021 | 0 min read