8 citations · 8 across the 2 of their papers we have counts for
6 papers
Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs
Jin Bai, Huiyao Zhang, Qi Wen +4
The segmentation of thin linear structures is inherently topology allowbreak-critical, where minor local errors can sever long-range connectivity. While recent State-Space Models (…
Sustainable AI Processing at the Edge
Sébastien Ollivier, Sheng Li, Yue Tang +5
Edge computing is a popular target for accelerating machine learning algorithms supporting mobile devices without requiring the communication latencies to handle them in the cloud.…
Enabling Sparse Winograd Convolution by Native Pruning
Sheng Li, Jongsoo Park, Ping Tak Peter Tang
Sparse methods and the use of Winograd convolutions are two orthogonal approaches, each of which significantly accelerates convolution computations in modern CNNs. Sparse Winograd…
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
Shihao Ji, Nadathur Satish, Sheng Li +1
Word2vec is a widely used algorithm for extracting low-dimensional vector representations of words. State-of-the-art algorithms including those by Mikolov et al. have been parallel…
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park, Sheng Li, Wei Wen +4
Phenomenally successful in practical inference problems, convolutional neural networks (CNN) are widely deployed in mobile devices, data centers, and even supercomputers. The numbe…
Parallelizing Word2Vec in Shared and Distributed Memory
Shihao Ji, Nadathur Satish, Sheng Li +1
Word2Vec is a widely used algorithm for extracting low-dimensional vector representations of words. It generated considerable excitement in the machine learning and natural languag…