Efficient AI

TMXVAR: Twin Microscaling Floating-Point Quantization for Efficient Visual Autoregressive Model Inference on FPGA
面向视觉自回归模型高效推理的双微缩浮点量化方法与FPGA加速器。
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HDA-MoE: Hybrid Parallelism and Dynamic, Adaptive Scheduling for Mixture-of-Experts with 3D Near-Memory Processing
面向3D近存计算架构上高效MoE推理的混合并行映射与动态调度框架。
Haochen Huang, Shuzhang Zhong, Shengxuan Qiu, Zhe Zhang, Shuangchen Li, Cong Li, Dimin Niu, Hongzhong Zheng, Guangyu Sun, Runsheng Wang, 李萌
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Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference
通过前瞻对齐异步推理与优化的边缘运行时，实现视觉-语言-动作模型的实时机载部署。
Zebin Yang, Qi Wang, Yunhe Wang, Xiurui Guo, Bo Yu, Shaoshan Liu, Jiafeng Xu, Hao Dong, 李萌
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MatMoE: Matryoshka Mixture-of-Experts with Dynamic Mixed-Precision Quantization for Efficient Inference
Renjie Wei, Haochen Huang, Chuyu Qiu, Jinqi Wen, Dehao Xu, 李萌
Aging Aware Adaptive Voltage Scaling for Reliable and Efficient AI Accelerators
Tong Xie, Zuodong Zhang, Chao Yang, Yuan Wang, Runsheng Wang, 李萌
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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, Jin Luo, Yaoyu Tao, 李萌
RePart: Efficient Hypergraph Partitioning with Logic Replication Optimization for Multi-FPGA System
Zizhuo Fu, Yifan Zhou, Zhaoxin Lu, Guangyu Sun, Runsheng Wang, 李萌, Yibo Lin
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Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
Zizhuo Fu, Wenxuan Zeng, Runsheng Wang, 李萌
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HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
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TEAM: Temporal–Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration
Linye Wei, Zixiang Luo, Pingzhi Tang, 李萌
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