Andrew Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Multiple Instance

Weakly Supervised

Top Venues

Publications

Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR (2024)
Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang
Fast 2-out-of-n ECDSA Threshold Signature. ISPA/BDCloud/SocialCom/SustainCom (2023)
Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR (2023)
Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. CoRR (2023)
Lin Zhong, Yujue Wang, Yong Ding, Jun Du, Kevin He, Andrew Zhang
Distributed Key Derivation for Multi-Party Management of Blockchain Digital Assets. ICPADS (2023)
Bryan Zhao, Andrew Zhang, Blake Watson, Gillian Kearney, Isaac Dale
A Review of Vision-Language Models and their Performance on the Hateful Memes Challenge. CoRR (2023)
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Andrew Zhang, Long Phi Le, Georg Gerber, Anil V. Parwani, Faisal Mahmood
Towards a Visual-Language Foundation Model for Computational Pathology. CoRR (2023)
Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR (2023)
Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR (2023)
Darion Cassel, Su-Chin Lin, Alessio Buraggina, William Wang, Andrew Zhang, Lujo Bauer, Hsu-Chun Hsiao, Limin Jia, Timothy Libert
OmniCrawl: Comprehensive Measurement of Web Tracking With Real Desktop and Mobile Browsers. Proc. Priv. Enhancing Technol. 2022 (1) (2022)
Andrew Zhang, Xiaomin Chen, Ying Luo, Anna Qingfeng Li, William Cheung
Using CMAF to deliver high resolution immersive video with ultra-low end to end latency for live streaming. MHV (2022)
Jason Liu, Daniel J. Spakowicz, Garrett I. Ash, Rebecca Hoyd, Rohan Ahluwalia, Andrew Zhang, Shaoke Lou, Donghoon Lee, Jing Zhang, Carolyn Presley, Ann Greene, Matthew Stults-Kolehmainen, Laura M. Nally, Julien S. Baker, Lisa M. Fucito, Stuart A. Weinzimer, Andrew V. Papachristos, Mark Gerstein
Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions. PLoS Comput. Biol. 17 (8) (2021)
Andrew Zhang, Jennifer Jacobs, Misha Sra, Tobias Höllerer
Multi-View AR Streams for Interactive 3D Remote Teaching. VRST (2021)
Andrew Zhang, Ling Teng, Gil Alterovitz
An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Andrew Zhang, Raghavendra V. P. Kandubai
Access Control Schema for Smart Locks using a Wifi Bridge: An exploration of a smart lock access control system based around the SimSim retrofitting smart lock. ICRAI (2020)
Heather L. Jones, Siri Maley, Mohammadreza Mousaei, David Kohanbash, Warren Whittaker, James Teza, Andrew Zhang, Nikhil Jog, William Whittaker
A Robot for Nondestructive Assay of Holdup Deposits in Gaseous Diffusion Piping. CoRR (2019)
João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC (2019)
Tianbing Xu, Andrew Zhang, Liang Zhao
WALL-E: An Efficient Reinforcement Learning Research Framework. CoRR (2019)
Joao Carreira, Randy H. Katz, Pedro Fonseca, Andrew Zhang, Alexey Tumanov
Cirrus: a Serverless Framework for End-to-end ML Workflows. SoCC (2019)
Henry Kironde, Benjamin D. Morris, Akash Goel, Andrew Zhang, Akshay Narasimha, Shivam Negi, David J. Harris, Deborah Gertrude Digges, Kapil Kumar, Amritanshu Jain, Kunal Pal, Kevinkumar Amipara, Prabh Simran Singh Baweja, Ethan P. White
Retriever: Data Retrieval Tool. J. Open Source Softw. 2 (19) (2017)