| 2026 | ASPLOS | Ouroboros: Wafer-Scale SRAM CIM with Token-Grained Pipelining for Large Language Model Inference. | Yiqi Liu, Yudong Pan, Mengdi Wang, Shixin Zhao, Haonan Zhu, Yinhe Han, Lei Zhang, Ying Wang |
| 2026 | ISCA | AutoFHE: An Automatic Hardware Generation Framework for Domain-Specific FHE Accelerators. | Yibo Du, Cangyuan Li, Bing Li, Mengdi Wang, Lian Liu, Shixin Zhao, Yinhe Han, Ying Wang |
| 2025 | ASPLOS | Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators. | Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang |
| 2025 | HPCA | Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM. | Lian Liu, Shixin Zhao, Bing Li, Haimeng Ren, Zhaohui Xu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang |
| 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 |
| 2015 | ICMLC | The failure analysis of extreme learning machine on big data and the counter measure. | Pm-Zhou Zhang, Shixin Zhao, Xi-Zhao Wang |
| 2014 | ICMLC | Extreme Learning Machine for Interval-Valued Data. | Shixin Zhao, Xizhao Wang |