GNA: Reconfigurable and Efficient Architecture for Generative Network Acceleration. - Jiale Yan; Shouyi Yin; Fengbin Tu; Leibo Liu; Shaojun Wei (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Updated Lagrangian Particle Hydrodynamics (ULPH) modeling and simulation of multiphase flows. - Jiale Yan; Shaofan Li; A-Man Zhang; Xingyu Kan; Peng-Nan Sun (J. Comput. Phys., 2019)

Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets. - Jiale Yan; Hiroaki Ito; Ángel López García-Arias; Yasuyuki Okoshi; Hikari Otsuka; Kazushi Kawamura; Thiem Van Chu; Masato Motomura (LoG, 2023)

TT-MLP: Tensor Train Decomposition on Deep MLPs. - Jiale Yan; Kota Ando; Jaehoon Yu; Masato Motomura (IEEE Access, 2023)

Sparse-Sparse Matrix Multiplication Accelerator on FPGA featuring Distribute-Merge Product Dataflow. - Yuta Nagahara; Jiale Yan; Kazushi Kawamura; Masato Motomura; Thiem Van Chu (ASPDAC, 2024)

Efficient COO to CSR Conversion for Accelerating Sparse Matrix Processing on FPGA. - Yuta Nagahara; Jiale Yan; Kazushi Kawamura; Masato Motomura; Thiem Van Chu (ICCE, 2024)

Enhance membership inference attacks in federated learning. - Xinlong He; Yang Xu; Sicong Zhang; Weida Xu; Jiale Yan (Comput. Secur., 2024)

TTF-GNN: Memory-Efficient GNNs via Tensor Train Decomposition and Network Folding. - Hiroaki Ito; Jiale Yan; Kazushi Kawamura; Masato Motomura; Thiem Van Chu; Daichi Fujiki (COOL CHIPS, 2025)

Stealthy Backdoor Attack against Video Recognition Models. - Jiale Yan; Bo Zhao; Chunyu Yang (ICASSP, 2025)

BingoGCN: Towards Scalable and Efficient GNN Acceleration with Fine-Grained Partitioning and SLT. - Jiale Yan; Hiroaki Ito; Yuta Nagahara; Kazushi Kawamura; Masato Motomura; Thiem Van Chu; Daichi Fujiki (ISCA, 2025)

EUN: Enhanced unlearnable examples generation approach for privacy protection. - Xiaotian Chen; Yang Xu; Sicong Zhang; Jiale Yan; Weida Xu; Xinlong He (Comput. Vis. Image Underst., 2025)

Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning. - Hiroaki Ito; Jiale Yan; Hikari Otsuka; Kazushi Kawamura; Masato Motomura; Thiem Van Chu; Daichi Fujiki (Trans. Mach. Learn. Res., 2025)

Updated Lagrangian particle hydrodynamics (ULPH) simulations of underwater bubble motions in three-dimensional space. - Xingyu Kan; Jiale Yan; Shaofan Li; Jingzhu Wang; Yiwei Wang; Yonggang Chen (Eng. Comput., 2025)

DMSA: An Efficient Architecture for Sparse-Sparse Matrix Multiplication Based on Distribute-Merge Product Dataflow. - Yuta Nagahara; Jiale Yan; Kazushi Kawamura; Daichi Fujiki; Masato Motomura; Thiem Van Chu (IEEE Trans. Very Large Scale Integr. Syst., 2025)