Weiliang Chen

Orcid: 0000-0003-0304-583X

According to our database1, Weiliang Chen authored at least 25 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Novel Faster Fixed-Time Adaptive Control for Robotic Systems With Input Saturation.
IEEE Trans. Ind. Electron., May, 2024

Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation.
CoRR, 2024

2023
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving.
CoRR, 2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge.
CoRR, 2023

A Novel Fast Fixed-Time Control for Robotic Manipulator Based on Disturbance Observer.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

A 10TFLOPS Datacenter-Oriented GPU with 4-Corner Stacked 64GB Memory by The Means of 2.5D Packaging Technology.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale.
Frontiers Neuroinformatics, 2022

The Brain-Inspired Decoder for Natural Visual Image Reconstruction.
CoRR, 2022

Dynamically Reconfigurable Memory Address Mapping for General-Purpose Graphics Processing Unit.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022

2021
In Situ Femtosecond-Laser-Induced Fluorophores on Surface of Polyvinyl Alcohol for H2O/Co2+ Sensing and Data Security.
Sensors, 2021

2019
Face Alignment by Discriminative Feature Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Estimation of Activity Interaction Parameters in Fe-S-j Systems.
Entropy, 2018

Face Alignment by Combining Residual Features in Cascaded Hourglass Network.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Time to Bring Single Neuron Modeling into 3D.
Neuroinformatics, 2017

Parallel STEPS: Large Scale Stochastic Spatial Reaction-Diffusion Simulation with High Performance Computers.
Frontiers Neuroinformatics, 2017

2015
Accurate Reaction-Diffusion Operator Splitting on Tetrahedral Meshes for Parallel Stochastic Molecular Simulations.
CoRR, 2015

2014
The role of dendritic spine morphology in the compartmentalization and delivery of surface receptors.
J. Comput. Neurosci., 2014

Python-based geometry preparation and simulation visualization toolkits for STEPS.
Frontiers Neuroinformatics, 2014

2012
STEPS: efficient simulation of stochastic reaction-diffusion models in realistic morphologies.
BMC Syst. Biol., 2012

2011
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons.
Frontiers Comput. Neurosci., 2011

2009
The performance of associative memory models with biologically inspired connectivity.
PhD thesis, 2009

Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Connectivity graphs and the performance of sparse associative memory models.
Proceedings of the International Joint Conference on Neural Networks, 2008

User Profile Management for Personalized Telecom Service.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Using graph-theoretic measures to predict the performance of associative memory models.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008


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