Andrew Zhang

According to our database, Andrew Zhang authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A General-Purpose Self-Supervised Model for Computational Pathology.

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

CoRR, 2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples.

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

CoRR, 2023

Towards a Visual-Language Foundation Model for Computational Pathology.

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

CoRR, 2023

A Review of Vision-Language Models and their Performance on the Hateful Memes Challenge.

Bryan Zhao, Andrew Zhang, Blake Watson, Gillian Kearney, Isaac Dale

CoRR, 2023

Distributed Key Derivation for Multi-Party Management of Blockchain Digital Assets.

Lin Zhong, Yujue Wang, Yong Ding, Jun Du, Kevin He, Andrew Zhang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images.

Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast 2-out-of-n ECDSA Threshold Signature.

Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

OmniCrawl: Comprehensive Measurement of Web Tracking With Real Desktop and Mobile Browsers.

Darion Cassel, Su-Chin Lin, Alessio Buraggina, William Wang, Andrew Zhang, Lujo Bauer, Hsu-Chun Hsiao, Limin Jia, Timothy Libert

Proc. Priv. Enhancing Technol., 2022

Using CMAF to deliver high resolution immersive video with ultra-low end to end latency for live streaming.

Andrew Zhang, Xiaomin Chen, Ying Luo, Anna Qingfeng Li, William Cheung

Proceedings of the MHV '22: Mile-High Video Conference, Denver, Colorado, USA, March 1, 2022

2021

Bayesian structural time series for biomedical sensor data: A flexible modeling framework for evaluating interventions.

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

PLoS Comput. Biol., 2021

An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis.

Andrew Zhang, Ling Teng, Gil Alterovitz

J. Am. Medical Informatics Assoc., 2021

Multi-View AR Streams for Interactive 3D Remote Teaching.

Andrew Zhang, Jennifer Jacobs, Misha Sra, Tobias Höllerer

Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

2020

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.

Andrew Zhang, Raghavendra V. P. Kandubai

Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

2019

A Robot for Nondestructive Assay of Holdup Deposits in Gaseous Diffusion Piping.

Heather L. Jones, Siri Maley, Mohammadreza Mousaei, David Kohanbash, Warren Whittaker, James P. Teza, Andrew Zhang, Nikhil Jog, William Whittaker

CoRR, 2019

WALL-E: An Efficient Reinforcement Learning Research Framework.

Tianbing Xu, Andrew Zhang, Liang Zhao

CoRR, 2019

Cirrus: a Serverless Framework for End-to-end ML Workflows.

João Carreira, Pedro Fonseca, Alexey Tumanov, Andrew Zhang, Randy H. Katz

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2017

Retriever: Data Retrieval Tool.

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

J. Open Source Softw., 2017