| 2025 | MEMOCODE | Coherence-Aware Task Graph Modeling for Realistic Application. | Guochu Xiong, Xiangzhong Luo, Weichen Liu |
| 2025 | SENSYS | Poster Abstract: Mobile Vision Dynamic Layer Dropping against Adversarial Attacks. | Zimo Ma, Xiangzhong Luo, Qun Song, Rui Tan |
| 2025 | SENSYS | Demo Abstract: Parameterized Stochastic Ensemble Defense for Object Detection. | Yuting Wu, Dongfang Guo, Xiangzhong Luo, Qun Song, Rui Tan |
| 2024 | ASPDAC | 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 |
| 2024 | DAC | 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 |
| 2023 | ASPDAC | MUGNoC: A Software-Configured Multicast-Unicast-Gather NoC for Accelerating CNN Dataflows. | Hui Chen, Di Liu, Shiqing Li, Shuo Huai, Xiangzhong Luo, Weichen Liu |
| 2023 | ASPDAC | Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient in-Memory Acceleration. | Shuo Huai, Di Liu, Xiangzhong Luo, Hui Chen, Weichen Liu, Ravi Subramaniam |
| 2023 | DAC | 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 |
| 2023 | DATE | 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 |
| 2023 | FPL | An Efficient Sparse LSTM Accelerator on Embedded FPGAs with Bandwidth-Oriented Pruning. | Shiqing Li, Shien Zhu, Xiangzhong Luo, Tao Luo, Weichen Liu |
| 2022 | ASPDAC | HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs. | Hao Kong, Di Liu, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam |
| 2022 | DAC | 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 |
| 2022 | ICCAD | 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 |
| 2022 | ICCD | 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 |
| 2021 | DATE | HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. | Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu |
| 2020 | ICCD | EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems. | Xiangzhong Luo, Di Liu, Hao Kong, Weichen Liu |
| 2017 | IGARSS | Leaf chlorophyll content estimation from sentinel-2 MSI data. | Qingmiao Ma, Jing M. Chen, Yingjie Li, Holly Croft, Xiangzhong Luo, Ting Zheng, Sophia Zamaria |