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Xiangzhong Luo
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2020 – today
- 2024
- [j12]Shuo Huai
, Hao Kong
, Shiqing Li, Xiangzhong Luo
, Ravi Subramaniam
, Christian Makaya
, Qian Lin, Weichen Liu
:
EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems. IEEE Embed. Syst. Lett. 16(2): 174-177 (2024) - [c16]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Shiqing Li, Guochu Xiong, Weichen Liu:
Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. ASPDAC 2024: 250-255 - 2023
- [j11]Shuo Huai
, Hao Kong
, Xiangzhong Luo
, Di Liu
, Ravi Subramaniam
, Christian Makaya
, Qian Lin, Weichen Liu
:
On Hardware-Aware Design and Optimization of Edge Intelligence. IEEE Des. Test 40(6): 149-162 (2023) - [j10]Xiangzhong Luo
, Di Liu
, Hao Kong
, Shuo Huai, Hui Chen
, Weichen Liu
:
SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. IEEE Trans. Computers 72(4): 1081-1094 (2023) - [j9]Xiangzhong Luo
, Di Liu
, Hao Kong
, Shuo Huai, Hui Chen
, Weichen Liu
:
LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(6): 1784-1797 (2023) - [j8]Hao Kong
, Di Liu
, Shuo Huai, Xiangzhong Luo
, Ravi Subramaniam
, Christian Makaya
, Qian Lin, Weichen Liu
:
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 4657-4670 (2023) - [j7]Shuo Huai
, Hao Kong
, Xiangzhong Luo
, Shiqing Li
, Ravi Subramaniam
, Christian Makaya
, Qian Lin, Weichen Liu
:
CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation. ACM Trans. Embed. Comput. Syst. 22(5s): 123:1-123:25 (2023) - [c15]Shuo Huai
, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam:
Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. ASP-DAC 2023: 234-239 - [c14]Hui Chen, Di Liu, Shiqing Li, Shuo Huai
, Xiangzhong Luo, Weichen Liu:
MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. ASP-DAC 2023: 308-313 - [c13]Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. DAC 2023: 1-6 - [c12]Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu:
EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. DATE 2023: 1-2 - [c11]Shiqing Li, Shien Zhu
, Xiangzhong Luo, Tao Luo, Weichen Liu:
An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. FPL 2023: 42-48 - 2022
- [j6]Di Liu
, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI to edge: From deep learning's perspective. Neurocomputing 485: 297-320 (2022) - [j5]Xiangzhong Luo
, Di Liu
, Shuo Huai
, Hao Kong
, Hui Chen
, Weichen Liu
:
Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1799-1812 (2022) - [j4]Hui Chen
, Peng Chen
, Xiangzhong Luo
, Shuo Huai
, Weichen Liu
:
LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5232-5245 (2022) - [c10]Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. ASP-DAC 2022: 708-713 - [c9]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. CODES+ISSS 2022: 1-2 - [c8]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. DAC 2022: 475-480 - [c7]Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin:
Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. ICCAD 2022: 109:1-109:9 - [c6]Shuo Huai
, Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam, Christian Makaya, Qian Lin:
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. ICCD 2022: 627-634 - [i3]Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms. CoRR abs/2208.14446 (2022) - 2021
- [j3]Hui Chen, Zihao Zhang, Peng Chen, Xiangzhong Luo, Shiqing Li, Weichen Liu:
MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems. ACM Trans. Embed. Comput. Syst. 20(5s): 54:1-54:21 (2021) - [c5]Xiangzhong Luo, Di Liu, Shuo Huai
, Weichen Liu:
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. DATE 2021: 418-421 - [i2]Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu:
HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. CoRR abs/2103.08325 (2021) - 2020
- [c4]Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu:
EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. ICCD 2020: 288-295 - [c3]Xiangzhong Luo, Luan H. K. Duong, Weichen Liu:
Person Re-Identification Via Pose-Aware Multi-Semantic Learning. ICME 2020: 1-6 - [i1]Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI To Edge: From Deep Learning's Perspective. CoRR abs/2011.14808 (2020)
2010 – 2019
- 2018
- [c2]Zhenyu Wang, Xiangzhong Luo, Zheng Gong:
Application of Deep Learning in Analog Circuit Sizing. CSAI/ICIMT 2018: 571-575 - 2017
- [c1]Qingmiao Ma, Jing M. Chen, Yingjie Li, Holly Croft
, Xiangzhong Luo
, Ting Zheng
, Sophia Zamaria:
Leaf chlorophyll content estimation from sentinel-2 MSI data. IGARSS 2017: 2915-2918 - 2013
- [j2]Xiangzhong Luo
, Xiaoqiu Chen
, Lin Xu, Ranga B. Myneni
, Zaichun Zhu
:
Assessing Performance of NDVI and NDVI3g in Monitoring Leaf Unfolding Dates of the Deciduous Broadleaf Forest in Northern China. Remote. Sens. 5(2): 845-861 (2013) - [j1]Lijuan Miao, Yibo Luan, Xiangzhong Luo
, Qiang Liu, John C. Moore, Reshmita Nath, Bin He, Feng Zhu, Xuefeng Cui:
Analysis of the Phenology in the Mongolian Plateau by Inter-Comparison of Global Vegetation Datasets. Remote. Sens. 5(10): 5193-5208 (2013)
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