Spatial-Temporal Evolution and Regional Differentiation Features of Urbanization in China from 2003 to 2013. - Peiyu Zhang; Jianjun Pan; Longtao Xie; Tao Zhou 006; Haoran Bai; Yanxiang Zhu (ISPRS Int. J. Geo Inf., 2019)

Homologous G Protein-Coupled Receptors Boost the Modeling and Interpretation of Bioactivities of Ligand Molecules. - Jiansheng Wu; Yi Sun; Wallace K. B. Chan; Yanxiang Zhu; Wenyong Zhu; Wanqing Huang; Haifeng Hu 004; Shancheng Yan; Tao Pang; Xiaoyan Ke; Fei Li (J. Chem. Inf. Model., 2020)

An improved discrete consensus algorithm for reactive power sharing considering communication delay condition. - Yingwen Long; Yanxiang Zhu (J. Intell. Fuzzy Syst., 2020)

Transfer learning with molecular graph convolutional networks for accurate modeling and representation of bioactivities of ligands targeting GPCRs without sufficient data. - Jiansheng Wu; Chuangchuang Lan; Zheming Mei; Xiaohuyan Chen; Yanxiang Zhu; Haifeng Hu 004; Yemin Diao (Comput. Biol. Chem., 2022)

Disclosing incoherent sparse and low-rank patterns inside homologous GPCR tasks for better modelling of ligand bioactivities. - Jiansheng Wu; Chuangchuang Lan; Xuelin Ye; Jiale Deng; Wanqing Huang; Xueni Yang; Yanxiang Zhu; Haifeng Hu 004 (Frontiers Comput. Sci., 2022)

Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks. - Ruiqi Chen 001; Haoyang Zhang; Yuhanxiao Ma; Enhao Tang; Shun Li; Yanxiang Zhu; Jun Yu 010; Kun Wang 005 (FPGA, 2023)

Vina-FPGA: A Hardware-Accelerated Molecular Docking Tool With Fixed-Point Quantization and Low-Level Parallelism. - Ming Ling; Qingde Lin; Ruiqi Chen 001; Haimeng Qi; Mengru Lin; Yanxiang Zhu; Jiansheng Wu (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Preventing short violations in clock routing with an SVM classifier before powerplanning and placement. - Qi Liu; Ming Ling; Yanxiang Zhu; Yibo Rui; Rui Wang (Microelectron. J., 2024)

Vina-FPGA-Cluster: Multi-FPGA Based Molecular Docking Tool With High-Accuracy and Multi-Level Parallelism. - Ming Ling; Zhihao Feng; Ruiqi Chen 001; Yi Shao; Shidi Tang; Yanxiang Zhu (IEEE Trans. Biomed. Circuits Syst., 2024)

ATE-GCN: An FPGA-Based Graph Convolutional Network Accelerator with Asymmetrical Ternary Quantization. - Ruiqi Chen 001; Jiayu Liu; Shidi Tang; Yang Liu; Yanxiang Zhu; Ming Ling; Bruno Da Silva (DATE, 2025)

FPGA-Based Approximate Multiplier for FP8. - Ruiqi Chen 001; Yangxintong Lyu; Han Bao; Jiayu Liu; Yanxiang Zhu; Shidi Tang; Ming Ling; Bruno da Silva 001 (FCCM, 2025)