Tong Xie

PhD Student (co-advised w/ Prof. Runsheng Wang, 2024)

Peking University

Interests
  • Efficient AI
Education

  • B.E. in Peking University, 2024

Publications

Tong Xie, Zuodong Zhang, Chao Yang, Yuan Wang, Runsheng Wang, Meng Li (2026). Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators. In International Symposium of Electronic Design Automation (ISEDA) 2026.

Paper

Boyi Fu, Weikai Xu, Tong Xie, Jin Luo, Yaoyu Tao, Meng Li (2026). NICE: 3D-NAND-based In-Memory-Computing with In-Situ ECC-Protection for Fault-Tolerant and Efficient LLM Inference. In International Symposium of Electronic Design Automation (ISEDA) 2026.

Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li (2026). CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. In International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2026.

Paper

Jinqi Wen, Tong Xie, Runsheng Wang, Meng Li (2026). DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference. In Design Automation Conference (DAC) 2026.

Paper

Zebin Yang, Yijiahao Qi, Tong Xie, Bo Yu, Shaoshan Liu, Meng Li (2026). DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation. In Design Automation Conference (DAC) 2026.

Paper

Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li (2026). KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning. In Design Automation Conference (DAC) 2026.

Paper

Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li (2025). EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval. In Conference on Neural Information Processing Systems (NeurIPs) 2025.

Paper

Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, Meng Li (2025). SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding. In International Conference on Computer-Aided Design (ICCAD) 2025.

Paper

Tengyu Zhang, Tong Xie, Haoyang Luo, Yixuan Hu, Yaoyu Tao, Xiyuan Tang, Yuan Wang, Runsheng Wang, Meng Li (2025). A 28nm 534.6TOPS/W Mixed-Precision Edge Accelerator for Embodied AI Using Stochastic Computing. In Asian Solid-State Circuits Conference (A-SSCC) 2025.

Paper

Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li (2025). ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. In Design Automation Conference (DAC) 2025.

Paper Project Slides

Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, 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.

Paper