| 2026 | ISCA | DIAMoND: Dynamic Inference for Adaptive Edge MOE with Heterogeneous In-NAND and Near-DRAM Compute Architecture. | Ling Liang, Tianyang Luo, Shuzhang Zhong, Dongxue Zhao, Qichao Ma, Renjie Wei, Jingyu Wang, Meng Li, Guangyu Sun, Zongwei Wang, Yimao Cai |
| 2025 | DATE | SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. | Renjie Wei, Zechun Liu, Yuchen Fan, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | DATE | LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design. | Renjie Wei, Songqiang Xu, Linfeng Zhong, Zebin Yang, Qingyu Guo, Yuan Wang, Runsheng Wang, Meng Li |
| 2024 | DATE | ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. | Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang |
| 2023 | DAC | Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. | Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang |
| 2023 | DATE | Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. | Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang |
| 2023 | ICCAD | READ: Reliability-Enhanced Accelerator Dataflow Optimization Using Critical Input Pattern Reduction. | Zuodong Zhang, Renjie Wei, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang |