Sheng Lin

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Northeastern University

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Zhejiang University

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Syracuse University

Featured Co-authors

Wei Wang
386 publications
Fei Wu
141 publications
Jian Tang
110 publications
Xiang Chen
106 publications
Yanzhi Wang
105 publications
Xiang Ren
104 publications
Yuan Xie
93 publications
Sijia Liu
87 publications
Wei Jiang
73 publications
Bo Chen
73 publications
Yueting Zhuang
64 publications

∙ 01/28/2022

A Secure and Efficient Federated Learning Framework for NLP

In this work, we consider the problem of designing secure and efficient ...

Jieren Deng, et al. ∙

∙ 07/06/2021

CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference

A compact, accurate, and bitwidth-programmable in-memory computing (IMC)...

Zhiyu Chen, et al. ∙

∙ 06/16/2021

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator

Recent works demonstrated the promise of using resistive random access m...

Geng Yuan, et al. ∙

∙ 06/15/2021

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression

Compressing Deep Neural Network (DNN) models to alleviate the storage an...

Sheng Lin, et al. ∙

∙ 09/03/2020

ESMFL: Efficient and Secure Models for Federated Learning

Deep Neural Networks are widely applied to various domains. The successf...

Sheng Lin, et al. ∙

∙ 02/19/2020

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition

Recurrent neural networks (RNNs) based automatic speech recognition has ...

Peiyan Dong, et al. ∙

∙ 01/20/2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

Weight pruning has been widely acknowledged as a straightforward and eff...

Xiaolong Ma, et al. ∙

∙ 01/01/2020

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

With the emergence of a spectrum of high-end mobile devices, many applic...

Wei Niu, et al. ∙

∙ 11/24/2019

A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation

The computing wall and data movement challenges of deep neural networks ...

Geng Yuan, et al. ∙

∙ 11/19/2019

DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks

The rapidly growing parameter volume of deep neural networks (DNNs) hind...

Ao Ren, et al. ∙

∙ 11/04/2019

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices

Deep neural networks (DNNs) have been expanded into medical fields and t...

Hongjia Li, et al. ∙

∙ 09/04/2019

Learning Dynamic Context Augmentation for Global Entity Linking

Despite of the recent success of collective entity linking (EL) methods,...

Xiyuan Yang, et al. ∙

∙ 08/29/2019

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM

The high computation and memory storage of large deep neural networks (D...

Geng Yuan, et al. ∙

∙ 08/27/2019

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

The state-of-art DNN structures involve intensive computation and high m...

Xiaolong Ma, et al. ∙

∙ 07/03/2019

Non-structured DNN Weight Pruning Considered Harmful

Large deep neural network (DNN) models pose the key challenge to energy ...

Yanzhi Wang, et al. ∙

∙ 06/13/2019

KCAT: A Knowledge-Constraint Typing Annotation Tool

Fine-grained Entity Typing is a tough task which suffers from noise samp...

Sheng Lin, et al. ∙

∙ 05/02/2019

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM

Weight quantization is one of the most important techniques of Deep Neur...

Sheng Lin, et al. ∙

∙ 04/30/2019

ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning

The state-of-art DNN structures involve high computation and great deman...

Xiaolong Ma, et al. ∙

∙ 03/23/2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM

Weight pruning and weight quantization are two important categories of D...

Shaokai Ye, et al. ∙

∙ 04/11/2018

Learning Topics using Semantic Locality

The topic modeling discovers the latent topic probability of the given t...

Ziyi Zhao, et al. ∙

∙ 12/13/2017

FFT-Based Deep Learning Deployment in Embedded Systems

Deep learning has delivered its powerfulness in many application domains...

Sheng Lin, et al. ∙