papers

Publications (9)

cs.DC2025

FAFO: Over 1 million TPS on a single node running EVM while still Merkleizing every block

Ryan Zarick, Isaac Zhang, Daniel Wong +4

Current blockchain execution throughput is limited by data contention, reducing execution layer parallelism. Fast Ahead-of-Formation Optimization (FAFO) is the first blockchain tra…

cs.CR2025

vApps: Verifiable Applications at Internet Scale

Isaac Zhang, Kshitij Kulkarni, Tan Li +6

Blockchain technology promises a decentralized, trustless, and interoperable infrastructure. However, widespread adoption remains hindered by issues such as limited scalability, hi…

cs.NI2025

QMDB: Quick Merkle Database

Isaac Zhang, Ryan Zarick, Daniel Wong +4

Quick Merkle Database (QMDB) addresses longstanding bottlenecks in blockchain state management by integrating key-value (KV) and Merkle tree storage into a single unified architect…

cs.NI2023

ColorTrace: Fungible token coloring and attribution

Ryan Zarick, Bryan Pellegrino, Isaac Zhang +2

We formally define the fungible token coloring problem of attributing (coloring) fungible tokens to originating entities (minters), and present, to our knowledge, the first practic…

cs.NI2025

LayerZero

Ryan Zarick, Bryan Pellegrino, Isaac Zhang +2

In this paper, we present the first intrinsically secure and semantically universal omnichain interoperability protocol: LayerZero. Utilizing an immutable endpoint, append-only ver…

cs.CV2019

Scaling Video Analytics on Constrained Edge Nodes

Christopher Canel, Thomas Kim, Giulio Zhou +5

As video camera deployments continue to grow, the need to process large volumes of real-time data strains wide area network infrastructure. When per-camera bandwidth is limited, it…

cs.NI2023

ColorFloat: Constant space token coloring

Ryan Zarick, Bryan Pellegrino, Isaac Zhang +2

We present ColorFloat, a family of O(1) space complexity algorithms that solve the problem of attributing (coloring) fungible tokens to the entity that minted them (minter). Taggin…

eess.IV2022

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms

Jiwoong J. Jeong, Brianna L. Vey, Ananth Reddy +13

Developing and validating artificial intelligence models in medical imaging requires datasets that are large, granular, and diverse. To date, the majority of publicly available bre…

cs.OS2025

ZeroOS: A Universal Modular Library OS for zkVMs

Guangxian Zou, Isaac Zhang, Ryan Zarick +5

zkVMs promise general-purpose verifiable computation through ISA-level compatibility with modern programs and toolchains. However, compatibility extends further than just the ISA;…