A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities. - Shun Li; Yuxuan Tao; Enhao Tang; Ting Xie; Ruiqi Chen 001 (PeerJ 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)

Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks. - Ruiqi Chen 001; Haoyang Zhang; Shun Li; Enhao Tang; Jun Yu 010; Kun Wang 005 (FPL, 2023)

S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. - Shun Li; Ruiqi Chen 001; Enhao Tang; Yajing Liu; Jing Yang; Kun Wang 005 (DATE, 2024)

SDAcc: A Stable Diffusion Accelerator on FPGA via Software-Hardware Co-Design. - Hao Zhou 008; Yang Liu 376; Hongji Wang; Enhao Tang; Shun Li; Yifan Zhang; Kun Wang 005 (FCCM, 2024)

Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks. - Enhao Tang; Shun Li; Ruiqi Chen 001; Hao Zhou 008; Yuhanxiao Ma; Haoyang Zhang; Jun Yu 010; Kun Wang 005 (ACM Trans. Reconfigurable Technol. Syst., 2024)

Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. - Hao Zhou 008; Yang Liu 376; Hongji Wang; Enhao Tang; Shun Li; Yifan Zhang; Guohao Dai; Yongpan Liu; Kun Wang 005 (ASP-DAC, 2025)

AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging. - Enhao Tang; Shun Li; Hao Zhou; Guohao Dai; Jun Lin; Kun Wang (DATE, 2025)

D-GCN: A Dynamic Pruning Accelerator for Deep Graph Convolutional Networks with Hybrid Dataflow. - Shun Li; Hao Zhou 008; Enhao Tang; Yang Liu 376; Shidi Tang; Ming Ling (ACM Great Lakes Symposium on VLSI, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; et al. (CoRR, 2025)