Fangzheng Lin

According to our database, Fangzheng Lin authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Continual-learning-based framework for structural damage recognition.

Jiangpeng Shu, Jiawei Zhang, Reachsak Ly, Fangzheng Lin, Yuanfeng Duan

CoRR, 2024

2023

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability.

Fangzheng Lin, Kasidis Arunruangsirilert, Heming Sun, Jiro Katto

Dataset, June, 2023

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability.

Fangzheng Lin, Kasidis Arunruangsirilert, Heming Sun, Jiro Katto

Dataset, June, 2023

PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression.

Ao Luo, Heming Sun, Jinming Liu, Fangzheng Lin, Jiro Katto

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability.

Fangzheng Lin, Kasidis Arunruangsirilert, Heming Sun, Jiro Katto

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Multistage Spatial Context Models for Learned Image Compression.

Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Spatially clustered varying coefficient model.

Fangzheng Lin, Yanlin Tang, Huichen Zhu, Zhongyi Zhu

J. Multivar. Anal., 2022

A comparative study of attention mechanism and generative adversarial network in facade damage segmentation.

Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu, Raimar J. Scherer

CoRR, 2022

Real-time Learned Image Codec on FPGA.

Heming Sun, Qingyang Yi, Fangzheng Lin, Lu Yu, Jiro Katto, Masahiro Fujita

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Streaming-Capable High-Performance Architecture of Learned Image Compression Codecs.

Fangzheng Lin, Heming Sun, Jiro Katto

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Crack Semantic Segmentation using the U-Net with Full Attention Strategy.

Fangzheng Lin, Jiesheng Yang, Jiangpeng Shu, Raimar J. Scherer

CoRR, 2021

2020

Weighted quantile regression in varying-coefficient model with longitudinal data.

Fangzheng Lin, Yanlin Tang, Zhongyi Zhu

Comput. Stat. Data Anal., 2020