Zhikang Liu

Orcid: 0000-0002-4562-1252

According to our database1, Zhikang Liu authored at least 16 papers between 2016 and 2024.

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

Timeline

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Links

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Bibliography

2024
A Self-Supervised Contrastive Denoising Autoencoder-Based Noise Suppression Method for Micro Thrust Measurement Signals Processing.
IEEE Trans. Instrum. Meas., 2024

2023
An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors.
J. Chem. Inf. Model., December, 2023

High-Accurate Robust Total Variation Denoising Algorithm With Adjustable Exponential Upper Bound Function for Micro-Thrust Measurement.
IEEE Trans. Instrum. Meas., 2023

SVMDformer: A Semi-Supervised Vehicular Misbehavior Detection Framework Based on Transformer in IoV.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

SimpleNet: A Simple Network for Image Anomaly Detection and Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Spatial-Temporal Attentive LSTM for Vehicle-Trajectory Prediction.
ISPRS Int. J. Geo Inf., 2022

GTMS: A Gated Linear Unit Based Trust Management System for Internet of Vehicles Using Blockchain Technology.
Proceedings of the IEEE International Conference on Trust, 2022

Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021
Label-guided Attention Distillation for lane segmentation.
Neurocomputing, 2021

Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing.
CoRR, 2021

An effective digitization method for CTG paper report with binary background grids taken by smartphone.
Comput. Methods Programs Biomed., 2021

2019
自动驾驶场景中增强深度学习的时空特征提取方法 (Spatio-temporal Features Extraction of Traffic Based on Deep Neural Network).
计算机科学, 2019

2018
SMC: Single-Stage Multi-location Convolutional Network for Temporal Action Detection.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Action recognition with low observational latency via part movement model.
Multim. Tools Appl., 2017

Improving human action recognitionby temporal attention.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Stacked Overcomplete Independent Component Analysis for Action Recognition.
Proceedings of the Computer Vision - ACCV 2016, 2016


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