Zhi Huang, PhD
Assistant Professor of Pathology and Laboratory Medicine
Department: Pathology and Laboratory Medicine
Contact information
3700 Hamilton Walk Room D204
Philadelphia, PA 19104
Philadelphia, PA 19104
Office: 3133679531
Education:
BS (Automation)
Xi'an Jiaotong University, 2015.
MS (Electrical and Computer Engineering)
Purdue University, Indianapolis, 2016.
PhD (Electrical and Computer Engineering)
Purdue University, West Lafayette, 2021.
Permanent linkBS (Automation)
Xi'an Jiaotong University, 2015.
MS (Electrical and Computer Engineering)
Purdue University, Indianapolis, 2016.
PhD (Electrical and Computer Engineering)
Purdue University, West Lafayette, 2021.
Description of Research Expertise
Artificial IntelligenceMachine Learning
Computer Vision
Large Language Model
Image Analysis
Digital Pathology
Computational Medicine
Selected Publications
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D Manning, James Zou: Quantifying large language model usage in scientific papers. Nature Human Behaviour August 2025.Melissa E Murray, Colin Smith, Vilas Menon, C Dirk Keene, Ed Lein, Michael Hawrylycz, Adriano Aguzzi, Brett Benedetti, Katja Brose, Kelsey Caetano-Anolles, Maria Inmaculada Cobos Sillero, John F Crary, Philip L De Jager, Arline Faustin, Margaret E Flanagan, Ozgun Gokce, Seth GN Grant, Lea T Grinberg, David A Gutman, Elizabeth MC Hillman, Zhi Huang, David J Irwin, David T Jones, Alifiya Kapasi, Celeste M Karch, Walter T Kukull, Tammaryn Lashley, Edward B Lee, Thomas Lehner, Laura Parkkinen, Maria Pedersen, Dominique Pritchett, Matthew H Rutledge, Julie A Schneider, William W Seeley, Claire E Shepherd, Tara L Spires-Jones, Judith A Steen, Margaret Sutherland, Sanja Vickovic, Bin Zhang, David J Stewart, Michael J Keiser, Jacob W Vogel, Brittany N Dugger, Hemali Phatnani: Accelerating biomedical discoveries in brain health through transformative neuropathology of aging and neurodegeneration. Neuron July 2025.
Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li: Can textual gradient work in federated learning? International Conference on Learning Representations 2025 April 2025.
Jacob S Leiby, Alexandro E Trevino, Aaron T Mayer, Zhenqin Wu, Dokyoon Kim, Zhi Huang: Generalized Representation Learning for Multimodal Histology Imaging Data Through Vision-Language Modeling. International Conference on Learning Representations (ICLR) 2025 Workshop LMRL March 2025.
Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Pan Lu, Zhi Huang, Carlos Guestrin, James Zou: Optimizing generative AI by backpropagating language model feedback. Nature March 2025.
Huang Z, Yang E, Shen J, Gratzinger D, Eyerer F, Liang B, Nirschl J, Bingham D, Dussaq AM, Kunder C, Rojansky R, Gilbert A, Chang-Graham AL, Howitt BE, Liu Y, Ryan EE, Tenney TB, Zhang X, Folkins A, Fox EJ, Montine KS, Montine TJ, Zou J.: A pathologist-AI collaboration framework for enhancing diagnostic accuracies and efficiencies. Nat Biomed Eng no volume(no issue), Jun 2024 Notes: doi: 10.1038/s41551-024-01223-5.
Liu R, Wang L, Rizzo S, Garmhausen MR, Pal N, Waliany S, McGough S, Lin YG, Huang Z, Neal J, Copping R, Zou J.: Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients. Cell Rep Med 5(3): 101444, Mar 2024 Notes: doi: 10.1016/j.xcrm.2024.101444. Epub 2024 Feb 29.
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D Manning, James Y Zou: Mapping the increasing use of llms in scientific papers. Conference on Language Modeling 2024.
Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A McFarland, James Y Zou: Monitoring ai-modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews. International Conference on Machine Learning 2024.
Montine KS, Berson E, Phongpreecha T, Huang Z, Aghaeepour N, Zou JY, MacCoss MJ, Montine TJ.: Understanding the molecular basis of resilience to Alzheimer's disease. Front Neurosci 17(no issue): 1311157, Dec 2023 Notes: doi: 10.3389/fnins.2023.1311157.