Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
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, and Ru Huang.
DATE 2024
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-based Fault Tolerance
Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, and Meng Li.
DAC 2025
A 28nm 534.6TOPS/W Mixed-Precision Edge Accelerator for Embodied AI Using Stochastic Computing
Tengyu Zhang, Tong Xie, Haoyang Luo, Yixuan Hu, Yaoyu Tao, Xiyuan Tang, Yuan Wang, Runsheng Wang, and Meng Li.
ASSCC 2025
The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization
Meng Li, Tong Xie, Zuodong Zhang, and Runsheng Wang.
ASICON 2025
SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, and Meng Li.
ICCAD 2025
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, and Meng Li.
NeurIPS 2025
CREATE: Cross-layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems
Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, and Meng Li.
ASPLOS 2026
Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators
Tong Xie, Zuodong Zhang, Chao Yang, Yuan Wang, Runsheng Wang, and Meng Li.
ISEDA 2026
NICE: 3D-NAND-based In-Memory-Computing with In-Situ ECC-Protection for Fault-Tolerant and Efficient LLM Inference
Boyi Fu, Weikai Xu, Tong Xie, Yaoyu Tao, Jin Luo, Meng Li, and Ru Huang.
ISEDA 2026
STSCA: Scalable Tensor-Train Stochastic Computing With Stabilized Arithmetic for High-Dimensional Nonlinear Operators
Xincheng Feng, Tong Xie, Ngai Wong, and Meng Li.
IEEE NANO 2026
DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference
Jinqi Wen*, Tong Xie*, Runsheng Wang, and Meng Li.
DAC 2026
DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
Zebin Yang, Yijiahao Qi, Tong Xie, Bo Yu, Shaoshan Liu, and Meng Li.
DAC 2026
KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, and Meng Li.
DAC 2026
talks
teaching
Device Design and Applications for Modern Integrated Circuits
Peking University, 2025
Teaching Assistant (Spring 2025).
Analysis and Design of VLSI Circuit (Practice)
Peking University, 2026
Teaching Assistant (Spring 2026).