Xiangzhong Luo

According to our database, Xiangzhong Luo authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems.

Shuo Huai, Hao Kong, Shiqing Li, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Embed. Syst. Lett., June, 2024

Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Weichen Liu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

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, Shiqing Li, Guochu Xiong, Weichen Liu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

On Hardware-Aware Design and Optimization of Edge Intelligence.

Shuo Huai, Hao Kong, Xiangzhong Luo, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

IEEE Des. Test, December, 2023

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

Shuo Huai, Hao Kong, Xiangzhong Luo, Shiqing Li, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

ACM Trans. Embed. Comput. Syst., October, 2023

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

IEEE Trans. Computers, April, 2023

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

Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI.

Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning.

Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

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

Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

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

Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond.

Xiangzhong Luo, Di Liu, Shuo Huai, Hao Kong, Hui Chen, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs.

Hui Chen, Peng Chen, Xiangzhong Luo, Shuo Huai, Weichen Liu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Bringing AI to edge: From deep learning's perspective.

Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam

Neurocomputing, 2022

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems.

Shuo Huai, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware.

Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search.

Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2022

HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs.

Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems.

Hui Chen, Zihao Zhang, Peng Chen, Xiangzhong Luo, Shiqing Li, Weichen Liu

ACM Trans. Embed. Comput. Syst., 2021

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search.

Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Person Re-Identification Via Pose-Aware Multi-Semantic Learning.

Xiangzhong Luo, Luan H. K. Duong, Weichen Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems.

Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2018

Application of Deep Learning in Analog Circuit Sizing.

Zhenyu Wang, Xiangzhong Luo, Zheng Gong

Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

2017

Leaf chlorophyll content estimation from sentinel-2 MSI data.

Qingmiao Ma, Jing M. Chen, Yingjie Li, Holly Croft, Xiangzhong Luo, Ting Zheng, Sophia Zamaria

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2013

Analysis of the Phenology in the Mongolian Plateau by Inter-Comparison of Global Vegetation Datasets.

Lijuan Miao, Yibo Luan, Xiangzhong Luo, Qiang Liu, John C. Moore, Reshmita Nath, Bin He, Feng Zhu, Xuefeng Cui

Remote. Sens., 2013

Assessing Performance of NDVI and NDVI3g in Monitoring Leaf Unfolding Dates of the Deciduous Broadleaf Forest in Northern China.

Xiangzhong Luo, Xiaoqiu Chen, Lin Xu, Ranga B. Myneni, Zaichun Zhu

Remote. Sens., 2013