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)

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)

Leaf chlorophyll content estimation from sentinel-2 MSI data. - Qingmiao Ma; Jing M. Chen; Yingjie Li; Holly Croft; Xiangzhong Luo; Ting Zheng; Sophia Zamaria (IGARSS, 2017)

Application of Deep Learning in Analog Circuit Sizing. - Zhenyu Wang; Xiangzhong Luo; Zheng Gong (CSAI/ICIMT, 2018)

EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Weichen Liu (ICCD, 2020)

Person Re-Identification Via Pose-Aware Multi-Semantic Learning. - Xiangzhong Luo; Luan H. K. Duong; Weichen Liu (ICME, 2020)

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Shuo Huai; Weichen Liu (DATE, 2021)

MARCO: A High-performance Task Mapping and Routing Co-optimization Framework for Point-to-Point NoC-based Heterogeneous Computing Systems. - Hui Chen 016; Zihao Zhang; Peng Chen 027; Xiangzhong Luo; Shiqing Li; Weichen Liu (ACM Trans. Embed. Comput. Syst., 2021)

HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. - Hao Kong; Di Liu 002; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam (ASP-DAC, 2022)

Work-in-Progress: What to Expect of Early Training Statistics? An Investigation on Hardware-Aware Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (CODES+ISSS, 2022)

You only search once: on lightweight differentiable architecture search for resource-constrained embedded platforms. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (DAC, 2022)

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware. - Hao Kong; Di Liu 002; Shuo Huai; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (ICCAD, 2022)

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems. - Shuo Huai; Di Liu 002; Hao Kong; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (ICCD, 2022)

Bringing AI to edge: From deep learning's perspective. - Di Liu 002; Hao Kong; Xiangzhong Luo; Weichen Liu; Ravi Subramaniam (Neurocomputing, 2022)

LAMP: Load-Balanced Multipath Parallel Transmission in Point-to-Point NoCs. - Hui Chen 016; Peng Chen 027; Xiangzhong Luo; Shuo Huai; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond. - Xiangzhong Luo; Di Liu 002; Shuo Huai; Hao Kong; Hui Chen 016; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. - Hui Chen 016; Di Liu 002; Shiqing Li; Shuo Huai; Xiangzhong Luo; Weichen Liu (ASP-DAC, 2023)

Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. - Shuo Huai; Di Liu 002; Xiangzhong Luo; Hui Chen 016; Weichen Liu; Ravi Subramaniam (ASP-DAC, 2023)

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning. - Hao Kong; Di Liu 002; Xiangzhong Luo; Shuo Huai; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (DAC, 2023)

EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI. - Hao Kong; Xiangzhong Luo; Shuo Huai; Di Liu 002; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (DATE, 2023)

An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. - Shiqing Li; Shien Zhu; Xiangzhong Luo; Tao Luo 014; Weichen Liu (FPL, 2023)

SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (IEEE Trans. Computers, 2023)

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 001; Weichen Liu (ACM Trans. Embed. Comput. Syst., 2023)

On Hardware-Aware Design and Optimization of Edge Intelligence. - Shuo Huai; Hao Kong; Xiangzhong Luo; Di Liu 002; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (IEEE Des. Test, 2023)

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI. - Hao Kong; Di Liu 002; Shuo Huai; Xiangzhong Luo; Ravi Subramaniam; Christian Makaya; Qian Lin 001; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Shiqing Li; Guochu Xiong; Weichen Liu (ASPDAC, 2024)

Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Weichen Liu (DAC, 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 001; Weichen Liu (IEEE Embed. Syst. Lett., 2024)

Domino-Pro-Max: Toward Efficient Network Simplification and Reparameterization for Embedded Hardware Systems. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Guochu Xiong; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Learning Cache Coherence Traffic for NoC Routing Design. - Guochu Xiong; Xiangzhong Luo; Weichen Liu (ACM Great Lakes Symposium on VLSI, 2025)

Poster Abstract: Mobile Vision Dynamic Layer Dropping against Adversarial Attacks. - Zimo Ma; Xiangzhong Luo; Qun Song 001; Rui Tan 001 (SenSys, 2025)

Demo Abstract: Parameterized Stochastic Ensemble Defense for Object Detection. - Yuting Wu; Dongfang Guo; Xiangzhong Luo; Qun Song 001; Rui Tan 001 (SenSys, 2025)

Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision. - Xiangzhong Luo; Di Liu 002; Hao Kong; Shuo Huai; Hui Chen 016; Guochu Xiong; Weichen Liu (ACM Trans. Embed. Comput. Syst., 2025)