Wenhao Zhang （张文豪） | Shanghai Jiao Tong University

About Me

I am an Assistant Professor in the School of Automation and Intelligent Sensing at Shanghai Jiao Tong University (SJTU). Previously, I was a postdoctoral scientist at Cedars-Sinai Medical Center and a Ph.D. student in the Department of Computer Science at the University of California, Los Angeles (UCLA).

My research focuses on transforming healthcare through artificial intelligence and causal inference, with a specific emphasis on developing novel AI methodologies to improve the diagnosis and treatment strategies for cardiovascular disease. I address key challenges such as integrating complex multimodal data and bridging the gap in individualized decision-making, with the goal of enabling AI-powered precision diagnosis and personalized care in real-world clinical settings.

News

[May. 2025] Joined Shanghai Jiao Tong University as an Assistant Professor.
[Feb. 2025] Our work Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction has been accepted by npj Digital Medicine(IF: 15.4, 2021).
[Sep. 2024] Our work Automating Revascularization Decision Support: Clinical Application of Artificial Intelligence received the Barry L. Zaret Young Investigator Award @ ASNC 2024
[Sep. 2022] Our work Range of Motion Sensors for Monitoring Recovery of Total Knee Arthroplasty received the best paper award (honorable mention) at IEEE BHI-BSN Conference 2022.
[July. 2022] Our work ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique received the best paper award at CONF-CDS 2022.

Selected Publications

npj Digit. Med.

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction

Anna M Marcinkiewicz*, Wenhao Zhang*, Aakash Shanbhag, Robert JH Miller, Mark Lemley, Giselle Ramirez, Mikolaj Buchwald, Aditya Killekar, Paul B Kavanagh, Attila Feher, Edward J Miller, Andrew J Einstein, Terrence D Ruddy, Joanna X Liang, Valerie Builoff, David Ouyang, Daniel S Berman, Damini Dey, Piotr J Slomka (*Co-first authors)

Nature npj Digital Medicine

PDF Code

ASNC

Automating Revascularization Decision Support Clinical Application of Artificial Intelligence

Wenhao Zhang, Robert JH Miller, Krishna K Patel, Aakash Shanbhag, Joanna X Liang, Marcelo F DiCarli, Sharmila Dorbala, Andrew J Einstein, Mathews Fish, M Timothy Hauser, Philipp A Kaufmann, Edward J Miller, Terrence D Ruddy, Timothy M Bateman, Monica Martins, Tali Sharir, Julian Halcox, Wanda Acampa, Damini Dey, Daniel Berman, Piotr Slomka

American Society of Nuclear Cardiology 2024

PDF Barry L. Zaret Young Investigator Award

CONF-CDS

ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique

M Cao, T Zhao, Y Li, Wenhao Zhang*, P Benharash, R Ramezani* (*Corresponding authors)

The 4th International Conference on Computing and Data Science (CONF-CDS), 2022.

PDF Code Best Paper Award

Causal inference in medicine and in health policy A summary

Wenhao Zhang, Ramin Ramezani, Arash Naeim

HANDBOOK ON COMPUTER LEARNING AND INTELLIGENCE Volume 2 Deep Learning, Intelligent Control and Evolutionary Computation (Chapter 6)

PDF

The Web Conference

Large-scale causal approaches to debiasing post-click conversion rate estimation with multi-task learning

Wenhao Zhang*, W Bao*, XY Liu, K Yang, Q Lin, H Wen, R Ramezani (*Co-first authors)

Proceedings of the web conference (The Web Conference), 2020

PDF Oral Presentation

Grants

National Institutes of Health, 5R35HL161195-03, $7,000,000, Patient- specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial Intelligence, 2022-2029 (Participated)
National Institutes of Health, 5R01EB034586-03, $2,800,000, Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT, 2022-2026 (Participated)
National Institutes of Health, R01HS024394-01, $1,500,000, Sensing in At Risk Populations (SARP): Monitoring performance status, activities of daily living, and independence to promote safe outcomes for elderly patients in rehab, the home and long-term care, 2016 - 2019 (Participated)