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20242026
most citedAchieving Energetic Superiority Through System-Level Quantum Circuit Simulation

2 citations · 5 across the 9 of their papers we have counts for

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cs.CV2024

Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras

Zimu Liao, Siyan Chen, Rong Fu +9

Recently, 3D Gaussian Splatting (3DGS) has garnered attention for its high fidelity and real-time rendering. However, adapting 3DGS to different camera models, particularly fisheye…

cs.LG2024

PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training

Haoran Xu, Ziqian Liu, Rong Fu +5

With the evolution of large language models, traditional Transformer models become computationally demanding for lengthy sequences due to the quadratic growth in computation with r…

cs.CV2024★ 1 cited

FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

Guofeng Feng, Siyan Chen, Rong Fu +7

This work introduces FlashGS, an open-source CUDA Python library, designed to facilitate the efficient differentiable rasterization of 3D Gaussian Splatting through algorithmic and…

quant-ph2024★ 2 cited

Achieving Energetic Superiority Through System-Level Quantum Circuit Simulation

Rong Fu, Zhongling Su, Han-Sen Zhong +11

Quantum Computational Superiority boasts rapid computation and high energy efficiency. Despite recent advances in classical algorithms aimed at refuting the milestone claim of Goog…

cs.DC2024★ 1 cited

ZeroPP: Unleashing Exceptional Parallelism Efficiency through Tensor-Parallelism-Free Methodology

Ding Tang, Lijuan Jiang, Jiecheng Zhou +5

Large-scale models rely heavily on 3D parallelism for distributed training, which utilizes tensor parallelism (TP) as the intra-operator parallelism to partition model states acros…