Applied cryptography, zero-knowledge, and decentralized systems

Zhuo Cai (蔡卓)

Research in proof systems, distributed randomness, and blockchain mechanism design.

I am a PhD student in Computer Science and Engineering at HKUST. My work focuses on proof systems, randomness protocols, and strategic questions in decentralized protocols.

Publications

Full publication record.

All 12 papers are listed here. The publications page adds search, tags, and abstracts.

CCS 2026 Accepted

Rogue: Updatable Matrix Lookup Arguments and Applications to Verifiable Databases

C. Pappas Zhuo Cai D. Papadopoulos

ACM SIGSAC Conference on Computer and Communications Security · 2026

To appear.

PODC 2026 Under submission

Delay-Optimal Transaction Order Fairness

Zhuo Caiα A. Goharshadyα

ACM Symposium on Principles of Distributed Computing · 2026

Under review at PODC 2026.

IEEE DAPPS 2026 Under submission

LockFee: Refundable Transaction Admission via Time-Locked Collateral

J. Ballwegα T. Barakbayevaα Zhuo Caiα A. Goharshadyα

IEEE International Conference on Decentralized Applications and Infrastructures · 2026

Under review at IEEE DAPPS 2026.

IJCAI 2025 Published

Smart Contracts for Trustless Sampling of Correlated Equilibria

T. Barakbayevaα Zhuo Caiα A. Goharshadyα K. Keypoorα

International Joint Conference on Artificial Intelligence · 2025

Alphabetical author order with Amir Goharshady.

ePrint 2025 Manuscript

Strategic Mining in Proof-of-Stake with Practical Random Election

Zhuo Cai

IACR Cryptology ePrint Archive · 2025

IACR ePrint 2025/1428.

ICBC 2024 Published

SRNG: An Efficient Decentralized Approach for Secret Random Number Generation

T. Barakbayevaα Zhuo Caiα A. Goharshadyα

IEEE International Conference on Blockchain and Cryptocurrency · 2024

Alphabetical author order with Amir Goharshady.

ICBC 2024 Published

Gas-Efficient Decentralized Random Beacons

V. Abidhaα T. Barakbayevaα Zhuo Caiα A. Goharshadyα

IEEE International Conference on Blockchain and Cryptocurrency · 2024

Alphabetical author order with Amir Goharshady.

OOPSLA 2023 Published

Asparagus: Automated Synthesis of Parametric Gas Upper-Bounds for Smart Contracts

Zhuo Caiα S. Farokhniaα A. Goharshadyα S. Hitarthα

Proceedings of the ACM on Programming Languages · 2023

Alphabetical author order with Amir Goharshady.

ICBC 2023 Published

Trustless and Bias-Resistant Game-Theoretic Distributed Randomness

Zhuo Caiα A. Goharshadyα

IEEE International Conference on Blockchain and Cryptocurrency · 2023

Alphabetical author order with Amir Goharshady.

MARBLE 2023 Published

Game-Theoretic Randomness for Proof-of-Stake

Zhuo Caiα A. Goharshadyα

Workshop on Mathematical Research for Blockchain Economy · 2023

Alphabetical author order with Amir Goharshady.

IEEE Blockchain 2023 Published

PureLottery: Fair Leader Election Without Decentralized Random Number Generation

J. Ballwegα Zhuo Caiα A. Goharshadyα

IEEE International Conference on Blockchain · 2023

Alphabetical author order with Amir Goharshady.

ACL 2021 Published

Towards Visual Question Answering on Pathology Images

X. He* Zhuo Cai* W. Wei Y. Zhang L. Mou E. Xing P. Xie

Annual Meeting of the Association for Computational Linguistics · 2021

* Equal contribution.

Research Directions

Ongoing and planned research.

Topics I am actively working on or planning to pursue, beyond papers already published.

Research Direction Active

Blockchain Incentive Design for Next-Generation Infrastructure

Most transaction fee mechanism (TFM) theory—including the foundations of EIP-1559— assumes a linear chain with one proposer per block in isolation. Real blockchain infrastructure has moved well beyond this model: strategic builders can delay transactions across multiple blocks, DAG-based consensus (Bullshark, Shoal++) runs concurrent proposers across overlapping transaction sets, sharded systems must price cross-shard atomicity, and parallel execution engines (Solana, Monad, Sui) remove ordering constraints while introducing new strategic manipulation via conflict graphs. This direction asks which classical TFM desiderata survive these architectural changes and what new mechanisms are needed to restore incentive compatibility, user welfare, and revenue adequacy. It also studies incentive design for parallel execution: whether conflict injection can be detected and penalized, how MEV manifests under parallelism, and what validator compensation models are viable when transaction ordering is no longer the primary strategic lever.

transaction fee mechanismincentive designblockchain economicsDAG blockchainshardingparallel executionMEV

Publications

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