chaoyue23

PhD Candidate @ UF ECE

[chaoyue23 @chaoyue23]

Thank you Dr. Fang! I'm deeply grateful for your guidance and support throughout my PhD journey. Couldn’t have asked for a better advisor—or a better lab family. Grateful beyond words! 🙏🎓💫

[Ruogu Fang @RuoguFang]

Ph.D. #5🎉 Congratulations to Chaoyue Sun (@chaoyue23) on successfully defending his dissertation "Advanced Graph Neural Networks for Infectious Disease Dynamics"!

He’s the 5th PhD graduate from SMILE Lab @LabFang. Way to go, Chaoyue! 👏🎓🔥

[Ruogu Fang @RuoguFang]

Super proud of SMILE Lab @LabFang’s member Chaoyue @chaoyue23 who is an exemplar PhD student with dedication, perseverance, and passion for research innovation! @UFBME @ECEflorida

[Ruogu Fang @RuoguFang]

Celebrating our achievements is just as crucial as immersing ourselves in research! 🎉 #LabCelebration! Kudos to @SkylarStolte @AkshaySAshok @PengRocMind @chaoyue23 🥳 @UFBME

[bioRxiv @biorxivpreprint]

DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction https://t.co/7DPgWjecbR #bioRxiv

[chaoyue23 @chaoyue23]

The definition of 3D contrastive coding loss is not clear to me. Why the upper bound of the summation is 2N and is there any constraints for selecting pair v_i and v_ j in the numerator?

[chaoyue23 @chaoyue23]

#SMILEJournalClub Paper "Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis" proposed a pre-training strategy with three proxy tasks for the Swin UNETR model.

[SMILE Fang Lab @LabFang]

SMILE LAB @LabFang Mascot is here! #dalle2’s #AI model generates this cute alligator mascot with cues designed our lab’s mascot competition winner Chaoyue Sun @chaoyue23!

[chaoyue23 @chaoyue23]

Random forests could also do regression work and provide variable importance analysis. I'm wondering what the advantage of causal forests comparing with random forests.

[chaoyue23 @chaoyue23]

#SMILEJournalClub Today's journal club, we studied a paper about the causal forest: "Estimating Treatment Effects with Causal Forests: An Application.", which analyzed the effects of several variables on student achievement.

[chaoyue23 @chaoyue23]

#SMILEJournalClub Today's journal club introduces a paper: Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk. The author develops a GCN-based approach to infant skeleton for Cerebral Palsy detection.

[chaoyue23 @chaoyue23]

A tiny question for figure 4, C. Why the AUC could be greater than 1 for ImageNet?

[chaoyue23 @chaoyue23]

#SMILEJournalClub In this week's journal club, we read paper "RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning", where a radiologic images dataset is created for pertaining models in medical imaging applications.

[chaoyue23 @chaoyue23]

The ROC curve shows the average model performance on 24 settings of training, and the settings include frozen layers and learning rates. I think, normally, we should compare the best performance between ImageNet and RadImageNet.

[chaoyue23 @chaoyue23]

Table 2 is really exciting. It shows how DeepDR system helps healthcare workers, and I'm interested in how the experiments are performed. Also, I'm wondering why there is a clear gap in sensitivity between Moderate NPDR and Severe NPDR, but in Specificity the gap is not clear.

[chaoyue23 @chaoyue23]

In this week's #SMILEJournalClub, we learned DeepDR, a deep learning system designed to detect Diabetic Retinopathy (DR). With three sub-modules for image quality assessment, lesion-aware, and DR level grading, DeepDR provides a comprehensive reference for patients' fundus images

[chaoyue23 @chaoyue23]

For the DR grading sub-network, the labels show different levels of DR. Did they apply any technique to utilize this relationship among labels? (e.g., misclassifying PDR to non-DR receives a larger penalty than misclassifying PDR to severe NPDR)

[SMILE Fang Lab @LabFang]

We are so excited to welcome 8 new members to join SMILE Lab this fall! Ph.D.: Joseph Cox @CoxJosephBME, Ziqian Hunag @ZiqianHuang9, Chaoyue Sun @chaoyue23, Hong Huang. MS: Aysesha Naikodi @ayesha_naikodi, Everett Schwieg @everett_schwieg, Fan Yang @f_yang1 UG: Hely Lin @helylin1

[chaoyue23 @chaoyue23]

The enhanced high-quality multi-modal imaging data with 100,000 participants provide an excellent basis for deploying machine learning or deep learning models for related health-related tasks.

[chaoyue23 @chaoyue23]

https://t.co/oO5UANtMGA
This week's journal club paper describes the collection and generation of the UK Biobank dataset.

[Ruogu Fang @RuoguFang]

We had so much fun and inspiration from our first lab meeting to kick off the Fall 2022 semester! @LabFang has been growing for the past 5 years at @UFBME and it is a tremendous joy to celebrate with all SMILE members who have contributed to our lab’s achievements!