Gongyan Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Depth Estimates

Iterative Deepening

Top Venues

Eng. Appl. Artif. Intell.

Publications

Meiling Lin, Gongyan Li, Yuexing Hao
Bridging local and global representations for self-supervised monocular depth estimation. Eng. Appl. Artif. Intell. 133 (2024)
Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu
Knowledge distillation via Noisy Feature Reconstruction. Expert Syst. Appl. 257 (2024)
Huabin Diao, Gongyan Li, Shaoyun Xu, Chao Kong, Wei Wang
Attention Round for post-training quantization. Neurocomputing 565 (2024)
Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu
EBNAS: Efficient binary network design for image classification via neural architecture search. Eng. Appl. Artif. Intell. 120 (2023)
Chaokun Shi, Yuexing Hao, Gongyan Li, Shaoyun Xu
VNGEP: Filter pruning based on von Neumann graph entropy. Neurocomputing 528 (2023)
Meiling Lin, Gongyan Li, Yuexing Hao, Shaoyun Xu
CoG-Trans: coupled graph convolutional transformer for multi-label classification of cherry defects. Neural Comput. Appl. 35 (21) (2023)
Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao
Attention Round for Post-Training Quantization. CoRR (2022)
Huabin Diao, Gongyan Li, Shaoyun Xu, Yuexing Hao
PA-NAS: Partial operation activation for memory-efficient architecture search. Appl. Intell. 52 (8) (2022)
Xiaoye Sun, Gongyan Li, Shaoyun Xu
FSD: feature skyscraper detector for stem end and blossom end of navel orange. Mach. Vis. Appl. 32 (1) (2021)
Huabin Diao, Yuexing Hao, Shaoyun Xu, Gongyan Li
Implementation of Lightweight Convolutional Neural Networks via Layer-Wise Differentiable Compression. Sensors 21 (10) (2021)
Xiaoye Sun, Gongyan Li, Shaoyun Xu
Fastidious Attention Network for Navel Orange Segmentation. CoRR (2020)
Xiaoye Sun, Liyan Ma, Gongyan Li
Multi-vision Attention Networks for On-line Red Jujube Grading. CoRR (2019)
Xiaoye Sun, Shaoyun Xu, Gongyan Li
A Real-Time Tiny Detection Model for Stem End and Blossom End of Navel Orange. CoRR (2019)