User profiles for Ka Chun Wong
Ka-Chun WongStanford's top 2% most highly cited scientists (v5,v6,v7) Verified email at cs.toronto.edu Cited by 4886 |
Interaction of fatty acid monolayers with cobalt nanoparticles
Stable colloidal suspension of magnetic nanoparticles is challenging owing to both van der
Waals forces and magnetic dipolar interactions. Thus, it is essential to coat magnetic …
Waals forces and magnetic dipolar interactions. Thus, it is essential to coat magnetic …
Collective human mobility pattern from taxi trips in urban area
We analyze the passengers' traffic pattern for 1.58 million taxi trips of Shanghai, China. By
employing the non-negative matrix factorization and optimization methods, we find that, …
employing the non-negative matrix factorization and optimization methods, we find that, …
Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems
Recently, it was found that most multiobjective particle swarm optimizers (MOPSOs) perform
poorly when tackling many-objective optimization problems (MaOPs). This is mainly …
poorly when tackling many-objective optimization problems (MaOPs). This is mainly …
Impact of traffic volume and composition on the air quality and pedestrian exposure in urban street canyon
A Rakowska, KC Wong, T Townsend, KL Chan… - Atmospheric …, 2014 - Elsevier
Vehicle emissions are identified as a major source of air pollution in metropolitan areas.
Emission control programs in many cities have been implemented as part of larger scale …
Emission control programs in many cities have been implemented as part of larger scale …
Impact analysis of temperature and humidity conditions on electrochemical sensor response in ambient air quality monitoring
P Wei, Z Ning, S Ye, L Sun, F Yang, KC Wong… - Sensors, 2018 - mdpi.com
The increasing applications of low-cost air sensors promises more convenient and cost-effective
systems for air monitoring in many places and under many conditions. However, the …
systems for air monitoring in many places and under many conditions. However, the …
Off-target predictions in CRISPR-Cas9 gene editing using deep learning
Motivation The prediction of off-target mutations in CRISPR-Cas9 is a hot topic due to its
relevance to gene editing research. Existing prediction methods have been developed; however…
relevance to gene editing research. Existing prediction methods have been developed; however…
Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet
RNA-binding proteins play crucial roles in the regulation of gene expression, and understanding
the interactions between RNAs and RBPs in distinct cellular conditions forms the basis …
the interactions between RNAs and RBPs in distinct cellular conditions forms the basis …
Mdm: Molecular diffusion model for 3d molecule generation
Molecule generation, especially generating 3D molecular geometries from scratch (ie, 3D de
novo generation), has become a fundamental task in drug design. Existing diffusion based …
novo generation), has become a fundamental task in drug design. Existing diffusion based …
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing
Our world is moving fast towards the era of the Internet of Things (IoT), which connects all
kinds of devices to digital services and brings significant convenience to our lives. With the …
kinds of devices to digital services and brings significant convenience to our lives. With the …
An external archive-guided multiobjective particle swarm optimization algorithm
The selection of swarm leaders (ie, the personal best and global best), is important in the
design of a multiobjective particle swarm optimization (MOPSO) algorithm. Such leaders are …
design of a multiobjective particle swarm optimization (MOPSO) algorithm. Such leaders are …