| 2026 | AAAI | Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving. | Kangqiao Zhao, Shuo Huai, Xurui Song, Jun Luo |
| 2026 | SENSYS | R | Shuo Huai, Zhixin Xie, Jun Luo |
| 2025 | AAAI | Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images. | Jiayi Kong, Xurui Song, Shuo Huai, Baixin Xu, Jun Luo, Ying He |
| 2025 | CCS | Threat from Windshield: Vehicle Windows as Involuntary Attack Sources on Automotive Voice Assistants. | Penghao Wang, Shuo Huai, Yetong Cao, Chao Liu, Jun Luo |
| 2025 | EMNLP | Dagger Behind Smile: Fool LLMs with a Happy Ending Story. | Xurui Song, Zhixin Xie, Shuo Huai, Jiayi Kong, Jun Luo |
| 2025 | ICASSP | Reenvisioning Skeleton-based Action Recognition Through the Lens of NLP. | Long Cao, Shuo Huai, Jingyao Gai |
| 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 | ISLPED | iMAT: Energy-Efficient In-Memory Acceleration for Ternary Neural Networks With Sparse Dot Product. | Shien Zhu, Shuo Huai, Guochu Xiong, Weichen Liu |
| 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 | DAC | ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. | Shuo Huai, Lei Zhang, Di Liu, Weichen Liu, Ravi Subramaniam |
| 2021 | DATE | HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search. | Xiangzhong Luo, Di Liu, Shuo Huai, Weichen Liu |
| 2019 | DAC | Performance-aware Wear Leveling for Block RAM in Nonvolatile FPGAs. | Shuo Huai, Weining Song, Mengying Zhao, Xiaojun Cai, Zhiping Jia |