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Tong Xie

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

Peking University

Interests
  • Efficient AI
Education
  • B.E. in Peking University, 2024

Latest

  • Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators
  • NICE: 3D-NAND-based In-Memory-Computing with In-Situ ECC-Protection for Fault-Tolerant and Efficient LLM Inference
  • CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems
  • DRIFT: Harnessing Inherent Fault Tolerance for Efficient and Reliable Diffusion Model Inference
  • DySL-VLA: Efficient Vision-Language-Action Model Inference via Dynamic-Static Layer-Skipping for Robot Manipulation
  • KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning
  • EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
  • SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
  • A 28nm 534.6TOPS/W Mixed-Precision Edge Accelerator for Embodied AI Using Stochastic Computing
  • ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance
  • ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer

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