Renjie Wei | 李萌的个人主页

Renjie Wei

PhD Student (2022)

Peking University

兴趣爱好

Efficient AI

教育经历

B.S. in Microelectronics, 2022
Nanjing University

Publications

Renjie Wei, Haochen Huang, Chuyu Qiu, Jinqi Wen, Dehao Xu, 李萌 (2026). MatMoE: Matryoshka Mixture-of-Experts with Dynamic Mixed-Precision Quantization for Efficient Inference. In International Conference on Computer-Aided Design (ICCAD) 2026.

Renjie Wei, Songqiang Xu, Linfeng Zhong, Zebin Yang, Qingyu Guo, Yuan Wang, Runsheng Wang, 李萌 (2025). LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

论文演示文稿

Renjie Wei, Zechun Liu, Yuchen Fan, Runsheng Wang, Ru Huang, 李萌 (2025). SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2025.

论文演示文稿

Tong Xie, Yixuan Hu, Renjie Wei, 李萌, Runsheng Wang, Yuan Wang, Ru Huang (2024). ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2024.

Xin Qiao, Qingyu Guo, Xiyuan Tang, Jiahao Song, Renjie Wei, 李萌, Runsheng Wang, Yuan Wang (2024). A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation. In IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) (2024).

Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, 李萌, Runsheng Wang, Yuan Wang (2024). MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks. In IEEE Custom Integrated Circuits Conference (CICC) 2024.

李萌, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang (2023). Not your father’s stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design. In International Conference on ASIC (ASICON) 2023.

Yixuan Hu, Tengyu Zhang, 李萌, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang (2023). Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network. In Design Automation Conference (DAC) 2023.

Yixuan Hu, Tengyu Zhang, Renjie Wei, 李萌, Runsheng Wang, Yuan Wang, Ru Huang (2023). Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion. In Design, Automation and Test in Europe Conference and Exhibition (DATE) 2023.