Degan Hao

Researcher, Morgan Stanley

Joined

January 2020

Names

Degan Hao (Preferred)

Emails

****@pitt.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Morgan Stanley (morganstanley.com)

2024 – Present

PhD student

University of Pittsburgh (pitt.edu)

2019 – 2024

Intern

Computational Science, Genentech, Inc. (gene.com)

2022 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Shandong Wu

2019 – 2024

Expertise

Agentic AI

2023 – 2026

Survival prediction

2019 – 2025

Adversarial defense

2021 – 2023

Self-training

2020 – 2023

Publications

Adversarially Robust Feature Learning for Breast Cancer Diagnosis
Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu
- CoRR 2024
- Readers: Everyone
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention
Degan Hao, Mohammadreza Negahdar
- ICHI 2023
- Readers: Everyone
Joint Spatiotemporal Attention for Mortality Prediction of Patients with Long COVID
Degan Hao, Mohammadreza Negahdar
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization
Degan Hao, Dooman Arefan, Shandong Wu
- Medical Imaging: Computer-Aided Diagnosis 2022
- Readers: Everyone
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation
Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu
- Published: 01 Jan 2022, Last Modified: 06 Nov 2023
- Artif. Intell. Medicine 2022
- Readers: Everyone
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables
Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
- Published: 01 Jan 2022, Last Modified: 06 Nov 2023
- Artif. Intell. Medicine 2022
- Readers: Everyone
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance
Degan Hao, Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu
- 2020 (modified: 28 Sept 2022)
- IEEE J. Biomed. Health Informatics 2020
- Readers: Everyone

Degan Hao

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Adversarially Robust Feature Learning for Breast Cancer Diagnosis

Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention

Joint Spatiotemporal Attention for Mortality Prediction of Patients with Long COVID

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance

Co-Authors