Welcome to SUN Lab

The lab aims at image/video processing, neural network and related hardware acceleration. Some potential research topics are given in the below.

  • Learned image/video compression
  • Generative model
  • FPGA/ASIC acceleration
  • Computer vision

About Me

  • Associate Professor, Faculty of Engineering, Yokohama National University, 2023-Pres.
  • Assistant Professor, Waseda Research Institute for Science and Engineering, Waseda University, 2018-2023.
  • Researcher, NEC Central Research Laboratories, 2017-2018.
  • Doctor, Graduate School of Information, Production and Systems, Waseda University, 2014-2017.
  • Master, Graduate School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 2011-2014.
  • Master, Graduate School of Information, Production and Systems, Waseda University, 2010-2012.
  • Bachelor, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 2007-2011.

Recent Professional Activities

Recent Publications

[2024.03] My paper on algorithm-architecture co-optimization for learned image compression is accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems. [Paper]

[2024.02] One corresponding-author paper is accepted by IEEE Transactions on Broadcasting. [Paper]

[2024.02] One paper is accepted by PCS 2024.

[2024.01] Two papers are accepted by IEEE ISCAS 2024.

[2023.12] One paper "SCP: Spherical-Coordinate-based Learned Point Cloud Compression" is accepted by AAAI 2024.

[2023.11] One paper "High-Efficiency FPGA-Based Approximate Multipliers with LUT Sharing and Carry Switching" is accepted as Extended Abstracts of DATE 2024. [Accepted Papers]

[2023.10] The research is introduced at CEATEC 2023. [Website in Japanese]

[2023.10] I give a tutorial on "End-to-End Learned Image and Video Compression: Design, Implementation, and Computer Vision Applications" at IEEE/CVF ICCV 2023. [Website]

[2023.07] One corresponding-author paper on fast VVC intra encoding algorithm is accepted by Journal of Visual Communication and Image Representation. [Paper]

[2023.05] One corresponding-author paper on low-cost architecture for VVC adaptive loop filter is accepted by IEEE Transactions on Circuits and Systems II: Express Briefs. [Paper]

[2023.04] My lab is created.

[2023.03] One corresponding-author paper on Transformer and CNN-based learned image compression is accepted by IEEE/CVF CVPR 2023, and selected as the highlight paper. [Paper] [Highlight Paper Link] [Pytorch]

[2023.03] I get the Telecommunications Advancement Foundation Award.

[2023.02] One corresponding-author paper on reconfigurable architecture for VVC transform is accepted by IEEE Transactions on Very Large Scale Integration (VLSI) Systems. [Paper]

[2023.01] I give a tutorial on "Advances in Design and Implementation of End-to-End Learned Image and Video Compression" at IEEE/CVF WACV 2023. [Website]

[2022.12] My paper on network quantization for learned image compression is accepted by IEEE Transactions on Circuits and Systems for Video Technology. [Paper]

[2022.12] My paper on FPGA codec system of learned image compression gets the Best Demo Award of IEEE VCIP 2022. [Paper] [Youtube] [Youtube] [Bilibili]

[2022.11] One corresponding-author paper on image coding for machine is selected as Best Paper Award Finalists of PCS 2022. [Paper]

[2022.08] My paper on FPGA architecture design for learned image compression is accepted by IEEE Asian Solid-State Circuits Conference (A-SSCC) 2022. [Paper]

[2021.06] My paper on learned image compression with fixed-point arithmetic gets the Top-10 Best Paper of PCS 2021. [Paper]

[2020.12] My paper on learned intra prediction gets the Best Paper Award of IEEE VCIP 2020. [Paper] [Tensorflow]