Jenq Kuen Lee

Jenq Kuen Lee

National Tsing Hua University

H-index: 20

Asia-Taiwan

About Jenq Kuen Lee

Jenq Kuen Lee, With an exceptional h-index of 20 and a recent h-index of 7 (since 2020), a distinguished researcher at National Tsing Hua University, specializes in the field of Optimizing compiler, Compilers for low-power, OpenCL compilers, AI compilers.

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

SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions

Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV

Support of Sparse Tensor Computing for MLIR HLS

Auto-tuning Fixed-point Precision with TVM on RISC-V Packed SIMD Extension

Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures

Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot

Efficient Realization of Decision Trees for Real-Time Inference

Accelerating AI Applications with Sparse Matrix Compression in Halide

Jenq Kuen Lee Information

University

Position

Professor of Computer Science Taiwan

Citations(all)

1824

Citations(since 2020)

276

Cited By

1611

hIndex(all)

20

hIndex(since 2020)

7

i10Index(all)

48

i10Index(since 2020)

3

Email

University Profile Page

National Tsing Hua University

Google Scholar

View Google Scholar Profile

Jenq Kuen Lee Skills & Research Interests

Optimizing compiler

Compilers for low-power

OpenCL compilers

AI compilers

Top articles of Jenq Kuen Lee

Title

Journal

Author(s)

Publication Date

SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions

arXiv preprint arXiv:2309.16509

Ju-Hung Li

Jhih-Kuan Lin

Yung-Cheng Su

Chi-Wei Chu

Lai-Tak Kuok

...

2023/9/28

Enhancing LLVM Optimizations for Linear Recurrence Programs on RVV

Hung-Ming Lai

Jenq-Kuen Lee

Yuan-Shin Hwang

2023/8/7

Support of Sparse Tensor Computing for MLIR HLS

Geng-Ming Liang

Chao-Lin Lee

Robert Lai

Jenq-Kuen Lee

2023/8/7

Auto-tuning Fixed-point Precision with TVM on RISC-V Packed SIMD Extension

ACM Transactions on Design Automation of Electronic Systems

Chun-Chieh Yang

Yi-Ru Chen

Hui-Hsin Liao

Yuan-Ming Chang

Jenq-Kuen Lee

2023/3/22

Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures

arXiv preprint arXiv:2303.12128

Jia-Hui Su

Chen-Hua Lu

Jenq Kuen Lee

Andrea Coluccio

Fabrizio Riente

...

2023/3/21

Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot

Connection Science

Chao-Lin Lee

Chun-Ping Chung

Sheng-Yuan Cheng

Jenq-Kuen Lee

Robert Lai

2023/12/31

Efficient Realization of Decision Trees for Real-Time Inference

ACM transactions on embedded computing systems

Kuan-Hsun Chen

Chiahui Su

Christian Hakert

Sebastian Buschjäger

Chao-Lin Lee

...

2022/10/18

Accelerating AI Applications with Sparse Matrix Compression in Halide

Journal of Signal Processing Systems

Chao-Lin Lee

Chen-Ting Chao

Wei-Hsu Chu

Ming-Yu Hung

Jenq-Kuen Lee

2022/11/3

The Support of MLIR HLS Adaptor for LLVM IR

Geng-Ming Liang

Chuan-Yue Yuan

Meng-Shiun Yuan

Tai-Liang Chen

Kuan-Hsun Chen

...

2022/8/29

Efficient Support of the Scan Vector Model for RISC-V Vector Extension

Hung-Ming Lai

Jenq-Kuen Lee

2022/8/29

Register-Pressure Aware Predicator for Length Multiplier of RVV

Meng-Shiuan Shih

Hung-Ming Lai

Chao-Lin Lee

Chung-Kai Chen

Jenq-Kuen Lee

2022/8/29

Case Study: Design Strategies for Enabling Visual Application Blocks of Bluetooth Library

IEEE Access

Tai-Liang Chen

I-An Su

Jenq-Kuen Lee

2022/5/16

NNBlocks: a Blockly framework for AI computing

The Journal of Supercomputing

Tai-Liang Chen

Yi-Ru Chen

Meng-Shiun Yu

Jenq-Kuen Lee

2021/8

Pointer-Based Divergence Analysis for OpenCL 2.0 Programs

ACM Transactions on Parallel Computing (TOPC)

Shao-Chung Wang

Lin-Ya Yu

Li-An Her

Yuan-Shin Hwang

Jenq-Kuen Lee

2021/10/15

Support NNEF execution model for NNAPI

The Journal of Supercomputing

Yuan-Ming Chang

Chia-Yu Sung

Yu-Chien Sheu

Meng-Shiun Yu

Min-Yih Hsu

...

2021/9

Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM

Hui-Hsin Liao

Chao-Lin Lee

Jenq-Kuen Lee

Wei-Chih Lai

Ming-Yu Hung

...

2021/8/9

Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions

Che-Chia Lin

Chao-Lin Lee

Jenq-Kuen Lee

Howard Wang

Ming-Yu Hung

2021/8/9

Experiment and enabled flow for GPGPU-sim simulators with fixed-point instructions

Journal of Systems Architecture

Chao-Lin Lee

Min-Yih Hsu

Bing-Sung Lu

Ming-Yu Hung

Jenq-Kuen Lee

2020/12/1

Enabling android nnapi flow for tvm runtime

Ming-Yi Lai

Chia-Yu Sung

Jenq-Kuen Lee

Ming-Yu Hung

2020/8/17

Devise sparse compression schedulers to enhance fasttext methods

Chen-Ting Chao

Wei-Hsu Chu

Chao-Lin Lee

Jenq-Kuen Lee

Ming-Yu Hung

...

2020/8/17

See List of Professors in Jenq Kuen Lee University(National Tsing Hua University)