Performance-aware Wear Leveling for Block RAM in Nonvolatile FPGAs. - Shuo Huai; Weining Song; Mengying Zhao; Xiaojun Cai; Zhiping Jia (DAC, 2019)

ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. - Shuo Huai; Lei Zhang 072; Di Liu 002; Weichen Liu; Ravi Subramaniam (DAC, 2021)

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

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)

EDLAB: A Benchmark for Edge Deep Learning Accelerators. - Hao Kong; Shuo Huai; Di Liu 002; Lei Zhang 072; Hui Chen 016; Shien Zhu; Shiqing Li; Weichen Liu; Manu Rastogi; Ravi Subramaniam; Madhu Athreya; M. Anthony Lewis (IEEE Des. Test, 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)

iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. - Shien Zhu; Shuo Huai; Guochu Xiong; Weichen Liu (ISLPED, 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)

Latency-constrained DNN architecture learning for edge systems using zerorized batch normalization. - Shuo Huai; Di Liu 002; Hao Kong; Weichen Liu; Ravi Subramaniam; Christian Makaya; Qian Lin 001 (Future Gener. Comput. Syst., 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)

An Efficient Gustavson-Based Sparse Matrix-Matrix Multiplication Accelerator on Embedded FPGAs. - Shiqing Li; Shuo Huai; 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)

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection. - Vikash Sathiamoorthy; Shuo Huai; Hao Kong; Di Liu 002; Wendy Yong Yi Loy; Christian Makaya; Daren Ho; Ravi Subramaniam; Qian Lin 001; Weichen Liu (ACM Great Lakes Symposium on VLSI, 2024)

A Fruit-Tree Mapping System for Semi-Structured Orchards Based on Multi-Sensor-Fusion SLAM. - Bingjie Tang; Zhiyang Guo; Chuanrong Huang; Shuo Huai; Jingyao Gai (IEEE Access, 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)

Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images. - Jiayi Kong 002; Xurui Song; Shuo Huai; Baixin Xu; Jun Luo 001; Ying He 001 (AAAI, 2025)

Reenvisioning Skeleton-based Action Recognition Through the Lens of NLP. - Long Cao; Shuo Huai; Jingyao Gai (ICASSP, 2025)

Dagger Behind Smile: Fool LLMs with a Happy Ending Story. - Xurui Song; Zhixin Xie; Shuo Huai; Jiayi Kong 002; Jun Luo 001 (CoRR, 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)