Weichen Liu

Weichen Liu

Nanyang Technological University

H-index: 31

Asia-Singapore

About Weichen Liu

Weichen Liu, With an exceptional h-index of 31 and a recent h-index of 21 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Embedded Systems, Multiprocessor Systems, Network-on-Chip.

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

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting

Edge intelligence: From deep learning's perspective

DAG-Order: An Order-Based Dynamic DAG Scheduling for Real-Time Networks-on-Chip

Accelerating Gustavson-based SpMM on Embedded FPGAs with Element-wise Parallelism and Access Pattern-aware Caches

On Hardware-Aware Design and Optimization of Edge Intelligence

Efficient FPGA-based Sparse Matrix-Vector Multiplication with Data Reuse-aware Compression

High-speed and energy-efficient asynchronous carry look-ahead adder

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration

Weichen Liu Information

University

Position

School of Computer Science and Engineering

Citations(all)

2823

Citations(since 2020)

1727

Cited By

1690

hIndex(all)

31

hIndex(since 2020)

21

i10Index(all)

65

i10Index(since 2020)

53

Email

University Profile Page

Nanyang Technological University

Google Scholar

View Google Scholar Profile

Weichen Liu Skills & Research Interests

Embedded Systems

Multiprocessor Systems

Network-on-Chip

Top articles of Weichen Liu

Title

Journal

Author(s)

Publication Date

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting

Xiangzhong Luo

Di Liu

Hao Kong

Shuo Huai

Hui Chen

...

2024/1/22

Edge intelligence: From deep learning's perspective

Di Liu

Hao Kong

Xiangzhong Luo

Shuo Huai

Weichen Liu

2024/1/1

DAG-Order: An Order-Based Dynamic DAG Scheduling for Real-Time Networks-on-Chip

ACM Transactions on Architecture and Code Optimization

Peng Chen

Hui Chen

Weichen Liu

Linbo Long

Wanli Chang

...

2023/12/15

Accelerating Gustavson-based SpMM on Embedded FPGAs with Element-wise Parallelism and Access Pattern-aware Caches

Shiqing Li

Weichen Liu

2023/4/17

On Hardware-Aware Design and Optimization of Edge Intelligence

IEEE Design & Test

Shuo Huai

Hao Kong

Xiangzhong Luo

Di Liu

Ravi Subramaniam

...

2023/8/22

Efficient FPGA-based Sparse Matrix-Vector Multiplication with Data Reuse-aware Compression

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Shiqing Li

Di Liu

Weichen Liu

2023/5/31

High-speed and energy-efficient asynchronous carry look-ahead adder

PloS one

Padmanabhan Balasubramanian

Weichen Liu

2023/10/5

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration

Shuo Huai

Di Liu

Xiangzhong Luo

Hui Chen

Weichen Liu

...

2023/1/16

iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product

Shien Zhu

Shuo Huai

Guochu Xiong

Weichen Liu

2023/8/7

An Efficient Gustavson-based Sparse Matrix-matrix Multiplication Accelerator on Embedded FPGAs

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Shiqing Li

Shuo Huai

Weichen Liu

2023/5/31

CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation

ACM Transactions on Embedded Computing Systems

Shuo Huai

Hao Kong

Xiangzhong Luo

Shiqing Li

Ravi Subramaniam

...

2023/9/9

MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows

Hui Chen

Di Liu

Shiqing Li

Shuo Huai

Xiangzhong Luo

...

2023/1/16

Automated Optical Accelerator Search Toward Superior Acceleration Efficiency, Inference Robustness and Development Speed

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Mengquan Li

Kenli Li

Chao Wu

Gang Liu

Mingfeng Lan

...

2023/7/21

EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Hao Kong

Di Liu

Shuo Huai

Xiangzhong Luo

Ravi Subramaniam

...

2023/5/17

An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning

Shiqing Li

Shien Zhu

Xiangzhong Luo

Tao Luo

Weichen Liu

2023/9/4

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization

Future Generation Computer Systems

Shuo Huai

Di Liu

Hao Kong

Weichen Liu

Ravi Subramaniam

...

2023/5/1

FIONA: Fine-grained Incoherent Optical DNN Accelerator Search for Superior Efficiency and Robustness

Mengquan Li

Kenli Li

Mingfeng Lan

Jie Xiong

Zhuo Tang

...

2023/7/9

Efficient Response Time Bound for Typed DAG Tasks

Qingqiang He

Yongzheng Sun

Mingsong Lv

Weichen Liu

2023/8/30

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI

Hao Kong

Xiangzhong Luo

Shuo Huai

Di Liu

Ravi Subramaniam

...

2023/4/17

Automated Optical Accelerator Search: Expediting Green and Ubiquitous DNN-Powered Intelligence

IEEE Design & Test

Mingfeng Lan

Mengquan Li

Jie Xiong

Weichen Liu

Chubo Liu

...

2023/8/29

See List of Professors in Weichen Liu University(Nanyang Technological University)

Co-Authors

H-index: 64
Yu Wang (汪玉)

Yu Wang (汪玉)

Tsinghua University

H-index: 62
Wang Yi

Wang Yi

Uppsala Universitet

H-index: 37
Liang Feng

Liang Feng

Chongqing University

H-index: 34
Zonghua Gu

Zonghua Gu

Umeå universitet

H-index: 29
Duo Liu

Duo Liu

Chongqing University

H-index: 25
Weiwen Jiang

Weiwen Jiang

University of Notre Dame

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