Weighted quantile regression in varying-coefficient model with longitudinal data. - Fangzheng Lin; Yanlin Tang; Zhongyi Zhu (Comput. Stat. Data Anal., 2020)

Crack Semantic Segmentation using the U-Net with Full Attention Strategy. - Fangzheng Lin; Jiesheng Yang; Jiangpeng Shu; Raimar J. Scherer (CoRR, 2021)

Streaming-Capable High-Performance Architecture of Learned Image Compression Codecs. - Fangzheng Lin; Heming Sun; Jiro Katto (ICIP, 2022)

Real-time Learned Image Codec on FPGA. - Heming Sun; Qingyang Yi; Fangzheng Lin; Lu Yu 003; Jiro Katto; Masahiro Fujita (VCIP, 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)

Spatially clustered varying coefficient model. - Fangzheng Lin; Yanlin Tang; Huichen Zhu; Zhongyi Zhu (J. Multivar. Anal., 2022)

Multistage Spatial Context Models for Learned Image Compression. - Fangzheng Lin; Heming Sun; Jinming Liu 001; Jiro Katto (ICASSP, 2023)

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability. - Fangzheng Lin; Kasidis Arunruangsirilert; Heming Sun; Jiro Katto (ICPP, 2023)

PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression. - Ao Luo; Heming Sun; Jinming Liu 001; Fangzheng Lin; Jiro Katto (VCIP, 2023)

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability. - Fangzheng Lin; Kasidis Arunruangsirilert; Heming Sun; Jiro Katto (Zenodo, 2023)

Recoil: Parallel rANS Decoding with Decoder-Adaptive Scalability. - Fangzheng Lin; Kasidis Arunruangsirilert; Heming Sun; Jiro Katto (Zenodo, 2023)

Real-Time Video Prediction With Fast Video Interpolation Model and Prediction Training. - Shota Hirose; Kazuki Kotoyori; Kasidis Arunruangsirilert; Fangzheng Lin; Heming Sun; Jiro Katto (ICIP, 2024)

Continual-learning-based framework for structural damage recognition. - Jiangpeng Shu; Jiawei Zhang; Reachsak Ly; Fangzheng Lin; Yuanfeng Duan (CoRR, 2024)

Teapot: Efficiently Uncovering Spectre Gadgets in COTS Binaries. - Fangzheng Lin; Zhongfa Wang; Hiroshi Sasaki (CoRR, 2024)

Teapot: Efficiently Uncovering Spectre Gadgets in COTS Binaries. - Fangzheng Lin; Zhongfa Wang; Hiroshi Sasaki 001 (CGO, 2025)