A programmable baseband processor for massive MIMO uplink multi-user detection. - Xiaoying Qiu; Leilei Miao; Runbin Shi; Zhiwei Wang; Liang Liu 002; Di Wu (ASICON, 2015)

A Locality Aware Convolutional Neural Networks Accelerator. - Runbin Shi; Zheng Xu; Zhihao Sun; Maurice Peemen; Ang Li 006; Henk Corporaal; Di Wu (DSD, 2015)

The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision. - Maurice Peemen; Runbin Shi; Sohan Lal; Ben H. H. Juurlink; Bart Mesman; Henk Corporaal (DATE, 2016)

A Heterogeneous System for Real-Time Detection with AdaBoost. - Zheng Xu; Runbin Shi; Zhihao Sun; Yaqi Li; Yuanjia Zhao; Chenjian Wu (HPCC/SmartCity/DSS, 2016)

Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory. - Justin S. J. Wong; Runbin Shi; Maolin Wang 002; Hayden Kwok-Hay So (FPT, 2017)

E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System. - Runbin Shi; Junjie Liu; Hayden Kwok-Hay So; Shuo Wang 009; Yun Liang 001 (DAC, 2019)

High-Throughput Line Buffer Microarchitecture for Arbitrary Sized Streaming Image Processing. - Runbin Shi; Justin S. J. Wong; Hayden Kwok-Hay So (J. Imaging, 2019)

A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy. - Runbin Shi; Justin S. J. Wong; Edmund Y. Lam; Kevin K. Tsia; Hayden Kwok-Hay So (IEEE Trans. Biomed. Circuits Syst., 2019)

FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. - Runbin Shi; Yuhao Ding; Xuechao Wei; He Li 008; Hang Liu 001; Hayden Kwok-Hay So; Caiwen Ding (DAC, 2020)

FTDL: An FPGA-tailored Architecture for Deep Learning Systems. - Runbin Shi; Yuhao Ding; Xuechao Wei; Hang Liu 001; Hayden Kwok-Hay So; Caiwen Ding (FPGA, 2020)

Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. - Junjie Liu; Zhe Xu 008; Runbin Shi; Ray C. C. Cheung; Hayden Kwok-Hay So (ICLR, 2020)

CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. - Runbin Shi; Peiyan Dong; Tong Geng; Yuhao Ding; Xiaolong Ma; Hayden Kwok-Hay So; Martin C. Herbordt; Ang Li 006; Yanzhi Wang (ICS, 2020)

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. - Tong Geng; Ang Li 006; Runbin Shi; Chunshu Wu; Tianqi Wang; Yanfei Li; Pouya Haghi; Antonino Tumeo; Shuai Che; Steven K. Reinhardt; Martin C. Herbordt (MICRO, 2020)

MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Weiwen Jiang; Runbin Shi; Xue Lin 001; Yanzhi Wang (CoRR, 2020)

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. - Sung-En Chang; Yanyu Li; Mengshu Sun; Runbin Shi; Hayden K. H. So; Xuehai Qian; Yanzhi Wang; Xue Lin 001 (HPCA, 2021)

Adversarial Hardware With Functional and Topological Camouflage. - He Li 008; Ameer Abdelhadi; Runbin Shi; Jiliang Zhang 002; Qiang Liu 011 (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. - Tong Geng; Ang Li 006; Tianqi Wang; Chunshu Wu; Yanfei Li; Runbin Shi; Wei Wu 016; Martin C. Herbordt (IEEE Trans. Parallel Distributed Syst., 2021)

ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures. - Abishek Ramdas; Michael Giardino; Runbin Shi; Adam Turowski; David A. Cock; Gustavo Alonso; Timothy Roscoe (CoRR, 2022)

Radio Frequency Fingerprinting on the Edge. - Tong Jian; Yifan Gong 004; Zheng Zhan 001; Runbin Shi; Nasim Soltani; Zifeng Wang 002; Jennifer G. Dy; Kaushik R. Chowdhury; Yanzhi Wang; Stratis Ioannidis (IEEE Trans. Mob. Comput., 2022)

Exploiting HBM on FPGAs for Data Processing. - Runbin Shi; Kaan Kara; Christoph Hagleitner; Dionysios Diamantopoulos; Dimitris Syrivelis; Gustavo Alonso (ACM Trans. Reconfigurable Technol. Syst., 2022)

Co-design Hardware and Algorithm for Vector Search. - Wenqi Jiang 001; Shigang Li 002; Yu Zhu; Johannes de Fine Licht; Zhenhao He; Runbin Shi; Cédric Renggli; Shuai Zhang 007; Theodoros Rekatsinas; Torsten Hoefler; Gustavo Alonso (SC, 2023)