activity
20202025
most citedSmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile

11 citations · 15 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Optimizing 3D Gaussian Splattering for Mobile GPUs

Md Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh +5

Image-based 3D scene reconstruction, which transforms multi-view images into a structured 3D representation of the surrounding environment, is a common task across many modern appl…

cs.LG2024★ 11 cited

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile

Wei Niu, Md Musfiqur Rahman Sanim, Zhihao Shu +5

This work is motivated by recent developments in Deep Neural Networks, particularly the Transformer architectures underlying applications such as ChatGPT, and the need for performi…

cs.RO2021★ 1 cited

Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card

Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan +5

Autonomous driving is of great interest in both research and industry. The high cost has been one of the major roadblocks that slow down the development and adoption of autonomous…

cs.CV2021★ 3 cited

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices

Xuan Shen, Geng Yuan, Wei Niu +5

The rapid development of autonomous driving, abnormal behavior detection, and behavior recognition makes an increasing demand for multi-person pose estimation-based applications, e…

cs.LG2021

A Compression-Compilation Framework for On-mobile Real-time BERT Applications

Wei Niu, Zhenglun Kong, Geng Yuan +7

Transformer-based deep learning models have increasingly demonstrated high accuracy on many natural language processing (NLP) tasks. In this paper, we propose a compression-compila…

cs.CL2020

Real-Time Execution of Large-scale Language Models on Mobile

Wei Niu, Zhenglun Kong, Geng Yuan +7

Pre-trained large-scale language models have increasingly demonstrated high accuracy on many natural language processing (NLP) tasks. However, the limited weight storage and comput…