activity
20092021
most citedDeepCity: A Feature Learning Framework for Mining Location Check-ins

24 citations · 80 across the 26 of their papers we have counts for

collaborators

27 papers

eess.SY2021

Target Control of Asynchronous Boolean Networks

Cui Su, Jun Pang

We study the target control of asynchronous Boolean networks, to identify efficacious interventions that can drive the dynamics of a given Boolean network from any initial state to…

eess.SY2020★ 3 cited

A Dynamics-based Approach for the Target Control of Boolean Networks

Cui Su, Jun Pang

We study the target control problem of asynchronous Boolean networks, to identify a set of nodes, the perturbation of which can drive the dynamics of the network from any initial s…

eess.SY2020★ 2 cited

Sequential Control of Boolean Networks with Temporary and Permanent Perturbations

Cui Su, Jun Pang

Direct cell reprogramming makes it feasible to reprogram abundant somatic cells into desired cells. It has great potential for regenerative medicine and tissue engineering. In this…

cs.LO2019

Characterising Probabilistic Alternating Simulation for Concurrent Games

Chenyi Zhang, Jun Pang

Probabilistic game structures combine both nondeterminism and stochasticity, where players repeatedly take actions simultaneously to move to the next state of the concurrent game.…

eess.SY2019★ 1 cited

Online Observability of Boolean Control Networks

Guisen Wu, Liyun Dai, Zhiming Liu +2

Observabililty is an important topic of Boolean control networks (BCNs). In this paper, we propose a new type of observability named online observability to present the sufficient…

cs.CR2018

Formal Analysis of an E-Health Protocol

Naipeng Dong, Hugo Jonker, Jun Pang

Given the sensitive nature of health data, security and privacy in e-health systems is of prime importance. It is crucial that an e-health system must ensure that users remain priv…