He Li

Orcid: 0000-0003-1152-5817

Affiliations:
  • Yanshan University, School of Information Science and Engineering, Qinhuangdao, China (PhD 2022)


According to our database1, He Li authored at least 14 papers between 2019 and 2025.

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

Timeline

Legend:

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Bibliography

2025
An Adversarial Perturbation Attack Method for Crowd Counting With Scope-Restricted Perturbation and Label-Setting Adaption.
IEEE Internet Things J., October, 2025

2024
Cross-modal collaborative feature representation via Transformer-based multimodal mixers for RGB-T crowd counting.
Expert Syst. Appl., 2024

Cross-modal misalignment-robust feature fusion for crowd counting.
Eng. Appl. Artif. Intell., 2024

2023
Direction-aware attention aggregation for single-stage hazy-weather crowd counting.
Expert Syst. Appl., September, 2023

RGB-D Crowd Counting With Cross-Modal Cycle-Attention Fusion and Fine-Coarse Supervision.
IEEE Trans. Ind. Informatics, 2023

CSA-Net: Cross-modal scale-aware attention-aggregated network for RGB-T crowd counting.
Expert Syst. Appl., 2023

Multi-level learning counting via pyramid vision transformer and CNN.
Eng. Appl. Artif. Intell., 2023

2022
Water Cut Measurement of Horizontal Oil-Water Flow Using Trielectrode Capacitance Sensor.
IEEE Trans. Ind. Electron., 2022

Hierarchical pyramid attentive network with spatial separable convolution for crowd counting.
Eng. Appl. Artif. Intell., 2022

2021
A cross-modal fusion based approach with scale-aware deep representation for RGB-D crowd counting and density estimation.
Expert Syst. Appl., 2021

2020
A multi-context representation approach with multi-task learning for object counting.
Knowl. Based Syst., 2020

2019
An object counting network based on hierarchical context and feature fusion.
J. Vis. Commun. Image Represent., 2019

An Automatic Scale-Adaptive Approach With Attention Mechanism-Based Crowd Spatial Information for Crowd Counting.
IEEE Access, 2019

A Novel Combined Conductance Sensor for Water Cut Measurement of Low-Velocity Oil-Water Flow in Horizontal and Slightly Inclined Pipes.
IEEE Access, 2019


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