Jianming Tong

Jianming Tong

Georgia Institute of Technology

H-index: 3

North America-United States

About Jianming Tong

Jianming Tong, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Computer Architecture, Network on Chip, Deep Learning Accelerators, Privacy-preserving Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors

Hardware-Software co-design for real-time latency-accuracy navigation in tinyML applications

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs

FPGA-Based High-Performance Real-Time Emulation of Radar System Using Direct Path Compute Model

PAF-FHE: Low-Cost Accurate Non-Polynomial Operator Polynomial Approximation in Fully Homomorphic Encryption Based ML Inference

A High Performance Computing Architecture for Real-Time Digital Emulation of RF Interactions

Subgraph stationary hardware-software inference co-design

Jianming Tong Information

University

Position

___

Citations(all)

54

Citations(since 2020)

54

Cited By

2

hIndex(all)

3

hIndex(since 2020)

3

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Jianming Tong Skills & Research Interests

Computer Architecture

Network on Chip

Deep Learning Accelerators

Privacy-preserving Computing

Top articles of Jianming Tong

Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption

arXiv preprint arXiv:2404.03216

2024/4/4

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors

2023/10/29

Hardware-Software co-design for real-time latency-accuracy navigation in tinyML applications

IEEE Micro

2023/9/20

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

2023/8/16

FPGA-Based High-Performance Real-Time Emulation of Radar System Using Direct Path Compute Model

2023/6/11

PAF-FHE: Low-Cost Accurate Non-Polynomial Operator Polynomial Approximation in Fully Homomorphic Encryption Based ML Inference

2023/5/11

Subgraph stationary hardware-software inference co-design

Proceedings of Machine Learning and Systems

2023/3/18

A configurable architecture for efficient sparse fir computation in real-time radio frequency systems

2022/6/19

Enabling Real-time DNN Switching via Weight-Sharing

The 2nd Architecture, Compiler, and System Support for Multi-model DNN Workloads Workshop (ACSMD 2022). New York, NY, USA. https://research. facebook. com/file/703126461319360/enabling-real-timednn-switching-via-weight-sharing. pdf

2022

ac2SLAM: FPGA Accelerated High-Accuracy SLAM with Heapsort and Parallel Keypoint Extractor

2021/12/6

Smmr-explore: Submap-based multi-robot exploration system with multi-robot multi-target potential field exploration method

2021/5/30

Pit: Processing-in-transmission with fine-grained data manipulation networks

IEEE Transactions on Computers

2020/12/30

COCOA: Content-oriented configurable architecture based on highly-adaptive data transmission networks

2020/9/7

See List of Professors in Jianming Tong University(Georgia Institute of Technology)

Co-Authors

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