| 2024 | ASPLOS | CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. | Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang |
| 2024 | DATE | Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. | Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang |
| 2023 | DATE | ENASA: Towards Edge Neural Architecture Search based on CIM acceleration. | Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han |
| 2023 | ICPADS | Communication-aware Quantization for Deep Learning Inference Parallelization on Chiplet-based Accelerators. | Kaiwei Zou, Songyun Qu, Wen Li, Ying Wang, Huawei Li, Yongpan Liu |
| 2022 | DAC | InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs. | Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li |
| 2022 | DAC | Processing-in-SRAM acceleration for ultra-low power visual 3D perception. | Yuquan He, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang |
| 2021 | DAC | ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator. | Songyun Qu, Bing Li, Ying Wang, Lei Zhang |
| 2020 | DAC | RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. | Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang |