Gongyan Li

According to our database, Gongyan Li authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CSAFD: Cross-scale attention fusion decoder for medical image segmentation.

Xiaoshan Pan, Bin Yao, Yuzhao Liu, Jing Guo, Gongyan Li

Signal Image Video Process., April, 2026

DPMB-Net: Dual-Level Perturbation and Multi-Scale Boundary Attention for Semi-Supervised Temporomandibular Joint Segmentation.

Xiaoshan Pan, Bin Yao, Jing Guo, Yuzhao Liu, Gongyan Li

IEEE Access, 2026

2025

Self-distillation enhanced adaptive pruning of convolutional neural networks.

Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang, Shuai Liu, Yuefeng He

Pattern Recognit., 2025

Enhancing PIBT for Multi-Agent Path Finding via MLP-Based Candidate Selection and Priority Perturbation.

Ping Du, Gongyan Li

IEEE Access, 2025

2024

PCCFormer: Parallel coupled convolutional transformer for image super-resolution.

Bowen Hou, Gongyan Li

Vis. Comput., December, 2024

Attention Round for post-training quantization.

Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang

Neurocomputing, January, 2024

Decoupling foreground and background with Siamese ViT networks for weakly-supervised semantic segmentation.

Meiling Lin, Gongyan Li, Shaoyun Xu, Yuexing Hao, Shu Zhang

Neurocomputing, 2024

Knowledge distillation via Noisy Feature Reconstruction.

Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu

Expert Syst. Appl., 2024

Bridging local and global representations for self-supervised monocular depth estimation.

Meiling Lin, Gongyan Li, Yuexing Hao

Eng. Appl. Artif. Intell., 2024

Training Is Execution: A Reinforcement Learning-Based Collision Avoidance Algorithm for Volatile Scenarios.

Jian Ban, Gongyan Li

IEEE Access, 2024

2023

CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects.

Meiling Lin, Gongyan Li, Yuexing Hao, Shaoyun Xu

Neural Comput. Appl., July, 2023

VNGEP: Filter pruning based on von Neumann graph entropy.

Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu

Neurocomputing, April, 2023

EBNAS: Efficient binary network design for image classification via neural architecture search.

Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu

Eng. Appl. Artif. Intell., April, 2023

2022

Attention Round for Post-Training Quantization.

Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao

CoRR, 2022

PA-NAS: Partial operation activation for memory-efficient architecture search.

Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao

Appl. Intell., 2022

2021

Implementation of Lightweight Convolutional Neural Networks via Layer-Wise Differentiable Compression.

Huabin Diao, Yuexing Hao, Shaoyun Xu, Gongyan Li

Sensors, 2021

FSD: feature skyscraper detector for stem end and blossom end of navel orange.

Xiaoye Sun, Gongyan Li, Shaoyun Xu

Mach. Vis. Appl., 2021

2020

Fastidious Attention Network for Navel Orange Segmentation.

Xiaoye Sun, Gongyan Li, Shaoyun Xu

CoRR, 2020

2019

A Real-Time Tiny Detection Model for Stem End and Blossom End of Navel Orange.

Xiaoye Sun, Shaoyun Xu, Gongyan Li

CoRR, 2019

Multi-vision Attention Networks for On-line Red Jujube Grading.

Xiaoye Sun, Liyan Ma, Gongyan Li

CoRR, 2019