Zhishan Li

Orcid: 0000-0002-3608-0319

According to our database1, Zhishan Li authored at least 19 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks.
IEEE Trans. Intell. Transp. Syst., August, 2024

Large-scale seismic soil-structure interaction analysis via efficient finite element modeling and multi-GPU parallel explicit algorithm.
Comput. Aided Civ. Infrastructure Eng., June, 2024

Adaptive multi-scale TF-net for high-resolution time-frequency representations.
Signal Process., January, 2024

Towards efficient filter pruning via adaptive automatic structure search.
Eng. Appl. Artif. Intell., 2024

A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Towards accurate dense pedestrian detection via occlusion-prediction aware label assignment and hierarchical-NMS.
Pattern Recognit. Lett., October, 2023

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023

Lightweight Cryptography Implementation for Internet of Things Network on FPGA.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022
Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering.
IEEE Trans. Instrum. Meas., 2022

PBDE: an effective post-processing method based on box density for object detection.
Appl. Intell., 2022

A Transformer-Based Object Detector with Coarse-Fine Crossing Representations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Efficient Framework for Detection and Recognition of Numerical Traffic Signs.
Proceedings of the IEEE International Conference on Acoustics, 2022

CICC: Channel Pruning via the Concentration of Information and Contributions of Channels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
An Effective Face Anti-Spoofing Method via Stereo Matching.
IEEE Signal Process. Lett., 2021

Correction to: A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021

A compression pipeline for one-stage object detection model.
J. Real Time Image Process., 2021

2020
Tool Orientation Optimization for Disk Milling Process Based on Torque Balance Method.
Symmetry, 2020

PBDE: An Effective Method for Filtering False Positive Boxes in Object Detection.
Proceedings of the 16th International Conference on Control, 2020

2019
Multi-Objective Parameter Optimization for Disc Milling Process of Titanium Alloy Blisk Channels.
Symmetry, 2019


  Loading...