OCEAN: An on-chip incremental-learning enhanced processor with gated recurrent neural network accelerators. - Chixiao Chen; Hongwei Ding; Huwan Peng; Haozhe Zhu; Rui Ma 021; Peiyong Zhang; Xiaolang Yan; Yu Wang 046; Mingyu Wang 001; Hao Min; Chuanjin Richard Shi (ESSCIRC, 2017)

Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs. - Andrew Boutros; Eriko Nurvitadhi; Rui Ma 021; Sergey Gribok; Zhipeng Zhao; James C. Hoe; Vaughn Betz; Martin Langhammer (FPT, 2020)

DO-GPU: Domain Optimizable Soft GPUs. - Rui Ma 021; Jia-Ching Hsu; Tian Tan 007; Eriko Nurvitadhi; Rajesh Vivekanandham; Aravind Dasu; Martin Langhammer; Derek Chiou (FPL, 2021)

Specializing FGPU for Persistent Deep Learning. - Rui Ma 021; Jia-Ching Hsu; Tian Tan 007; Eriko Nurvitadhi; David Sheffield; Rob Pelt; Martin Langhammer; Jaewoong Sim; Aravind Dasu; Derek Chiou (ACM Trans. Reconfigurable Technol. Syst., 2021)

FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems. - Rui Ma 021; Evangelos Georganas; Alexander Heinecke; Sergey Gribok; Andrew Boutros; Eriko Nurvitadhi (IEEE Comput. Archit. Lett., 2022)

Primate: A Framework to Automatically Generate Soft Processors for Network Applications. - Rui Ma 021; Jia-Ching Hsu; Ali Mansoorshahi; Joseph Garvey; Michael Kinsner; Deshanand P. Singh; Derek Chiou (IEEE Comput. Archit. Lett., 2024)

Miniature: Fast AI Supercomputer Networks Simulation on FPGAs. - Yicheng Qian; Ran Shu 001; Rui Ma 021; Yang Wang 053; Derek Chiou; Nadeen Gebara; Luca Piccolboni; Miriam Leeser; Yongqiang Xiong (APNet, 2025)

TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge. - Zhirui Huang; Rui Ma 021; Shijie Cao; Ran Shu 001; Ian Wang; Ting Cao; Chixiao Chen; Yongqiang Xiong (CoRR, 2025)