Jichen Li

22 papers 70 citations h-index 3 2020–2026

An Efficient and Robust Committee Structure for Sharding Blockchain

Nowadays, sharding is deemed as a promising way to save traditional blockchain protocols from their low scalability. However, such technique also brings several potential risks and huge...

Insightful Mining Equilibria

The selfish mining attack, arguably the most famous game-theoretic attack in blockchain, indicates that the Bitcoin protocol is not incentive-compatible. Most subsequent works mainly focus on...

CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding

Traditional public distributed ledgers have not been able to scale-out well and work efficiently. Sharding is deemed as a promising way to solve this problem. By partitioning all nodes into small...

Profit Reallocation Mechanisms in Tree-based Data Trading

Markets for data promise to unlock its economic value, yet in practice they remain far less active than expected---one reason is that those who supply data are not rewarded for the value it...

2026-09

Scalable Composition of Byzantine Agreements under Reorder Attacks

Byzantine agreement (BA) is a foundational building block in distributed systems, and the security analysis of BA protocols under multi-instance executions has attracted increasing attention....

2026-09

Time Is Money: Incentivized Causal Transaction Ordering

Front-running is a subtle and persistent problem for blockchains. A blockchain is a stateful virtual machine executing instructions called transactions. Users earn rewards by publishing functional...

2026-07

Incentivizing Data Trading via Profit Reallocation

Data trading is a central approach to data circulation, yet data markets remain far less active than expected. A primary bottleneck is the lack of effective economic incentives. Existing...

2026-06

Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach

Strategic mining attacks, such as selfish mining, exploit blockchain consensus protocols by deviating from honest behavior to maximize rewards. Markov Decision Process (MDP) analysis faces...

2025-02