| 2026 | DATE | ReBIT: A ReRAM-Based In-Situ Training Accelerator with Robustness Against Stochasticity. | Peng Dang, Wei Wang, Yintao He, Huawei Li |
| 2026 | ISCA | OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration. | Xueying Wu, Baijun Zhou, Zhihui Gao, Yuzhe Fu, Qilin Zheng, Yintao He, Hai Li |
| 2025 | ASPLOS | PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System. | Yintao He, Haiyu Mao, Christina Giannoula, Mohammad Sadrosadati, Juan Gmez-Luna, Huawei Li, Xiaowei Li, Ying Wang, Onur Mutlu |
| 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 |
| 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 | DAC | Drift: Leveraging Distribution-based Dynamic Precision Quantization for Efficient Deep Neural Network Acceleration. | Lian Liu, Zhaohui Xu, Yintao He, Ying Wang, Huawei Li, Xiaowei Li, Yinhe Han |
| 2024 | DATE | Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. | Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang |
| 2023 | DAC | AmgR: Algebraic Multigrid Accelerated on ReRAM. | Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng 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 |
| 2021 | DAC | TARe: Task-Adaptive in-situ ReRAM Computing for Graph Learning. | Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li |
| 2020 | DAC | Towards State-Aware Computation in ReRAM Neural Networks. | Yintao He, Ying Wang, Xiandong Zhao, Huawei Li, Xiaowei Li |
| 2019 | ICCAD | An Agile Precision-Tunable CNN Accelerator based on ReRAM. | Yintao He, Ying Wang, Yongchen Wang, Huawei Li, Xiaowei Li |