Haofeng Chen

Orcid: 0000-0002-6036-5744

According to our database1, Haofeng Chen authored at least 21 papers between 2012 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
PDCISTA-Net: Model-Driven Deep Learning Reconstruction Network for Electrical Impedance Tomography-Based Tactile Sensing.
IEEE Trans. Ind. Informatics, January, 2025

2024
Correcting Non-Uniform Sensitivity in EIT Tactile Sensing via Jacobian Vector Approximation.
IEEE Robotics Autom. Lett., 2024

KGCF: Social relationship-aware graph collaborative filtering for recommendation.
Inf. Sci., 2024

CPFI-EIT: A CNN-PINN Framework for Full-Inverse Electrical Impedance Tomography on Non-Smooth Conductivity Distributions.
CoRR, 2024

A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT).
CoRR, 2024

Pseudo-Domain Adversarial Networks with Electrical Impedance Tomography for Electrode Offset Error.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Enhancing Tactile Sensing in Robotics: Dual-Modal Force and Shape Perception with EIT-based Sensors and MM-CNN.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Real-time Monitoring of Two-phase Flow Using Electrical Impedance Tomography with Convolutional Neural Network.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022
Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography.
IEEE Trans. Computational Imaging, 2022

A convolutional neural network based electrical impedance tomography method for skin-like hydrogel sensing.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
A Bio-Impedance Analysis Method Based on Human Hand Anatomy for Hand Gesture Recognition.
IEEE Trans. Instrum. Meas., 2021

Home Action Genome: Cooperative Compositional Action Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Quasi-Dense Similarity Learning for Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Quasi-Dense Instance Similarity Learning.
CoRR, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Towards Material Classification of Scenes Using Active Thermography.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Surrogate assisted optimization of particle reinforced metal matrix composites.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing.
CoRR, 2017

2012
HighSSR: high-throughput SSR characterization and locus development from next-gen sequencing data.
Bioinform., 2012


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