activity
20172022
most citedDesign Space Exploration of Neural Network Activation Function Circuits

67 citations · 139 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 4 cited

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

Zhijun Tu, Xinghao Chen, Pengju Ren +1

This paper studies the Binary Neural Networks (BNNs) in which weights and activations are both binarized into 1-bit values, thus greatly reducing the memory usage and computational…

cs.LG2021

Error Loss Networks

Badong Chen, Yunfei Zheng, Pengju Ren

A novel model called error loss network (ELN) is proposed to build an error loss function for supervised learning. The ELN is in structure similar to a radial basis function (RBF)…

cs.CV2020★ 29 cited

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Zhiwei Dong, Guoxuan Li, Yue Liao +3

Keypoint-based detectors have achieved pretty-well performance. However, incorrect keypoint matching is still widespread and greatly affects the performance of the detector. In thi…

cs.RO2020★ 29 cited

Visual Semantic SLAM with Landmarks for Large-Scale Outdoor Environment

Zirui Zhao, Yijun Mao, Yan Ding +2

Semantic SLAM is an important field in autonomous driving and intelligent agents, which can enable robots to achieve high-level navigation tasks, obtain simple cognition or reasoni…

eess.SP2019★ 7 cited

Asymmetric Correntropy for Robust Adaptive Filtering

Badong Chen, Yuqing Xie, Zhuang Li +2

In recent years, correntropy has been seccessfully applied to robust adaptive filtering to eliminate adverse effects of impulsive noises or outliers. Correntropy is generally defin…

cs.LG2019★ 2 cited

Multi-Kernel Correntropy for Robust Learning

Badong Chen, Yuqing Xie, Xin Wang +3

As a novel similarity measure that is defined as the expectation of a kernel function between two random variables, correntropy has been successfully applied in robust machine lear…

cs.NE2018★ 67 cited

Design Space Exploration of Neural Network Activation Function Circuits

Tao Yang, Yadong Wei, Zhijun Tu +4

The widespread application of artificial neural networks has prompted researchers to experiment with FPGA and customized ASIC designs to speed up their computation. These implement…

cs.IT2018

Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Yicong He, Fei Wang, Shiyuan Wang +2

Distributed estimation over networks draws much attraction in recent years. In many situations, due to imperfect information communication among nodes, the performance of tradition…

cs.AR2017★ 1 cited

FASHION: Fault-Aware Self-Healing Intelligent On-chip Network

Pengju Ren, Michel A. Kinsy, Mengjiao Zhu +5

To avoid packet loss and deadlock scenarios that arise due to faults or power gating in multicore and many-core systems, the network-on-chip needs to possess resilient communicatio…