Login / Signup
Runbin Shi
ORCID
Publication Activity (10 Years)
Years Active: 2015-2023
Publications (10 Years): 23
Top Topics
High Scalability
Deep Learning
Xilinx Virtex
Neural Network
Top Venues
CoRR
DAC
ACM Trans. Reconfigurable Technol. Syst.
FPT
</>
Publications
</>
Wenqi Jiang
,
Shigang Li
,
Yu Zhu
,
Johannes de Fine Licht
,
Zhenhao He
,
Runbin Shi
,
Cédric Renggli
,
Shuai Zhang
,
Theodoros Rekatsinas
,
Torsten Hoefler
,
Gustavo Alonso
Co-design Hardware and Algorithm for Vector Search.
SC
(2023)
Wenqi Jiang
,
Shigang Li
,
Yu Zhu
,
Johannes de Fine Licht
,
Zhenhao He
,
Runbin Shi
,
Cédric Renggli
,
Shuai Zhang
,
Theodoros Rekatsinas
,
Torsten Hoefler
,
Gustavo Alonso
Co-design Hardware and Algorithm for Vector Search.
CoRR
(2023)
Runbin Shi
,
Kaan Kara
,
Christoph Hagleitner
,
Dionysios Diamantopoulos
,
Dimitris Syrivelis
,
Gustavo Alonso
Exploiting HBM on FPGAs for Data Processing.
ACM Trans. Reconfigurable Technol. Syst.
15 (4) (2022)
Abishek Ramdas
,
Michael Giardino
,
Runbin Shi
,
Adam Turowski
,
David Cock
,
Gustavo Alonso
,
Timothy Roscoe
ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures.
CoRR
(2022)
Tong Jian
,
Yifan Gong
,
Zheng Zhan
,
Runbin Shi
,
Nasim Soltani
,
Zifeng Wang
,
Jennifer G. Dy
,
Kaushik R. Chowdhury
,
Yanzhi Wang
,
Stratis Ioannidis
Radio Frequency Fingerprinting on the Edge.
IEEE Trans. Mob. Comput.
21 (11) (2022)
Tong Geng
,
Ang Li
,
Tianqi Wang
,
Chunshu Wu
,
Yanfei Li
,
Runbin Shi
,
Wei Wu
,
Martin C. Herbordt
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference.
IEEE Trans. Parallel Distributed Syst.
32 (1) (2021)
Sung-En Chang
,
Yanyu Li
,
Mengshu Sun
,
Runbin Shi
,
Hayden K. H. So
,
Xuehai Qian
,
Yanzhi Wang
,
Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
HPCA
(2021)
He Li
,
Ameer Abdelhadi
,
Runbin Shi
,
Jiliang Zhang
,
Qiang Liu
Adversarial Hardware With Functional and Topological Camouflage.
IEEE Trans. Circuits Syst. II Express Briefs
68 (5) (2021)
Junjie Liu
,
Zhe Xu
,
Runbin Shi
,
Ray C. C. Cheung
,
Hayden Kwok-Hay So
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.
ICLR
(2020)
Tong Geng
,
Ang Li
,
Runbin Shi
,
Chunshu Wu
,
Tianqi Wang
,
Yanfei Li
,
Pouya Haghi
,
Antonino Tumeo
,
Shuai Che
,
Steven K. Reinhardt
,
Martin C. Herbordt
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing.
MICRO
(2020)
Runbin Shi
,
Peiyan Dong
,
Tong Geng
,
Yuhao Ding
,
Xiaolong Ma
,
Hayden Kwok-Hay So
,
Martin C. Herbordt
,
Ang Li
,
Yanzhi Wang
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks.
CoRR
(2020)
Junjie Liu
,
Zhe Xu
,
Runbin Shi
,
Ray C. C. Cheung
,
Hayden Kwok-Hay So
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.
CoRR
(2020)
Sung-En Chang
,
Yanyu Li
,
Mengshu Sun
,
Runbin Shi
,
Hayden Kwok-Hay So
,
Xuehai Qian
,
Yanzhi Wang
,
Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework.
CoRR
(2020)
Runbin Shi
,
Yuhao Ding
,
Xuechao Wei
,
He Li
,
Hang Liu
,
Hayden Kwok-Hay So
,
Caiwen Ding
FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability.
DAC
(2020)
Runbin Shi
,
Yuhao Ding
,
Xuechao Wei
,
Hang Liu
,
Hayden Kwok-Hay So
,
Caiwen Ding
FTDL: An FPGA-tailored Architecture for Deep Learning Systems.
FPGA
(2020)
Runbin Shi
,
Peiyan Dong
,
Tong Geng
,
Yuhao Ding
,
Xiaolong Ma
,
Hayden Kwok-Hay So
,
Martin C. Herbordt
,
Ang Li
,
Yanzhi Wang
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks.
ICS
(2020)
Sung-En Chang
,
Yanyu Li
,
Mengshu Sun
,
Weiwen Jiang
,
Runbin Shi
,
Xue Lin
,
Yanzhi Wang
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework.
CoRR
(2020)
Runbin Shi
,
Justin S. J. Wong
,
Hayden Kwok-Hay So
High-Throughput Line Buffer Microarchitecture for Arbitrary Sized Streaming Image Processing.
J. Imaging
5 (3) (2019)
Runbin Shi
,
Junjie Liu
,
Hayden Kwok-Hay So
,
Shuo Wang
,
Yun Liang
E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System.
DAC
(2019)
Runbin Shi
,
Justin S. J. Wong
,
Edmund Y. Lam
,
Kevin K. Tsia
,
Hayden Kwok-Hay So
A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy.
IEEE Trans. Biomed. Circuits Syst.
13 (4) (2019)
Justin S. J. Wong
,
Runbin Shi
,
Maolin Wang
,
Hayden Kwok-Hay So
Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory.
FPT
(2017)
Zheng Xu
,
Runbin Shi
,
Zhihao Sun
,
Yaqi Li
,
Yuanjia Zhao
,
Chenjian Wu
A Heterogeneous System for Real-Time Detection with AdaBoost.
HPCC/SmartCity/DSS
(2016)
Maurice Peemen
,
Runbin Shi
,
Sohan Lal
,
Ben H. H. Juurlink
,
Bart Mesman
,
Henk Corporaal
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision.
DATE
(2016)
Runbin Shi
,
Zheng Xu
,
Zhihao Sun
,
Maurice Peemen
,
Ang Li
,
Henk Corporaal
,
Di Wu
A Locality Aware Convolutional Neural Networks Accelerator.
DSD
(2015)
Xiaoying Qiu
,
Leilei Miao
,
Runbin Shi
,
Zhiwei Wang
,
Liang Liu
,
Di Wu
A programmable baseband processor for massive MIMO uplink multi-user detection.
ASICON
(2015)