activity
20182021
most citedEffective Neural Solution for Multi-Criteria Word Segmentation

2 citations · 3 across the 4 of their papers we have counts for

collaborators

8 papers

cs.DC2021

EDSC: An Event-Driven Smart Contract Platform

Mudabbir Kaleem, Keshav Kasichainula, Rabimba Karanjai +4

This paper presents EDSC, a novel smart contract platform design based on the event-driven execution model as opposed to the traditionally employed transaction-driven execution mod…

cs.CC2020

Computational Complexity Characterization of Protecting Elections from Bribery

Lin Chen, Ahmed Sunny, Lei Xu +5

The bribery problem in election has received considerable attention in the literature, upon which various algorithmic and complexity results have been obtained. It is thus natural…

cs.CR2020

Nonlinear Blockchain Scalability: a Game-Theoretic Perspective

Lin Chen, Lei Xu, Zhimin Gao +3

Recent advances in the blockchain research have been made in two important directions. One is refined resilience analysis utilizing game theory to study the consequences of selfish…

cs.CR2019

Private and Atomic Exchange of Assets over Zero Knowledge Based Payment Ledger

Zhimin Gao, Lei Xu, Keshav Kasichainula +3

Bitcoin brings a new type of digital currency that does not rely on a central system to maintain transactions. By benefiting from the concept of decentralized ledger, users who do…

cs.CR2018

Efficient Public Blockchain Client for Lightweight Users

Lei Xu, Lin Chen, Zhimin Gao +2

Public blockchains provide a decentralized method for storing transaction data and have many applications in different sectors. In order for users to track transactions, a simple m…

cs.DS2018

Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm

Lin Chen, Lei Xu, Shouhuai Xu +2

Bribery in election (or computational social choice in general) is an important problem that has received a considerable amount of attention. In the classic bribery problem, the br…