Dawei Li | DeepAI

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Featured Co-authors

Jie Zhang
215 publications
Bin Wang
167 publications
Ke Li
159 publications
C. -C. Jay Kuo
151 publications
Liang Zhao
139 publications
Yu Sun
127 publications
Yang Chen
117 publications
Kai Xu
104 publications
Yiyu Shi
93 publications
Yong Jiang
86 publications
Cong Liu
76 publications

∙ 06/09/2023

Assisting Language Learners: Automated Trans-Lingual Definition Generation via Contrastive Prompt Learning

The standard definition generation task requires to automatically produc...

0 Hengyuan Zhang, et al. ∙

∙ 05/09/2023

TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection

The first ACM/IEEE TinyML Design Contest (TDC) held at the 41st Internat...

0 Zhenge Jia, et al. ∙

∙ 04/06/2023

NTK-SAP: Improving neural network pruning by aligning training dynamics

Pruning neural networks before training has received increasing interest...

0 Yite Wang, et al. ∙

∙ 10/02/2022

Fine-grained Contrastive Learning for Definition Generation

Recently, pre-trained transformer-based models have achieved great succe...

0 Hengyuan Zhang, et al. ∙

∙ 04/06/2022

C3KG: A Chinese Commonsense Conversation Knowledge Graph

Existing commonsense knowledge bases often organize tuples in an isolate...

0 Dawei Li, et al. ∙

∙ 01/19/2022

CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices

The core issue of cyberspace detecting and mapping is to accurately iden...

0 Dawei Li, et al. ∙

∙ 03/17/2021

Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss

Cyber attacks pose crucial threats to computer system security, and put ...

10 Boxiang Dong, et al. ∙

∙ 01/01/2021

On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method

The Barzilai-Borwein (BB) method has demonstrated great empirical succes...

0 Dawei Li, et al. ∙

∙ 12/14/2020

A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK

A reasonable prediction of infectious diseases transmission process unde...

0 Yuxuan Zhang, et al. ∙

∙ 07/02/2020

The Global Landscape of Neural Networks: An Overview

One of the major concerns for neural network training is that the non-co...

14 Ruoyu Sun, et al. ∙

∙ 11/04/2019

Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks

Does over-parameterization eliminate sub-optimal local minima for neural...

0 Tian Ding, et al. ∙

∙ 08/24/2019

Customized OCT images compression scheme with deep neural network

We customize an end-to-end image compression framework for retina OCT im...

36 Pengfei Guo, et al. ∙

∙ 08/12/2019

An overlapping-free leaf segmentation method for plant point clouds

Automatic leaf segmentation, as well as identification and classificatio...

6 Dawei Li, et al. ∙

∙ 07/02/2019

An Integrated Image Filter for Enhancing Change Detection Results

Change detection is a fundamental task in computer vision. Despite signi...

2 Dawei Li, et al. ∙

∙ 03/26/2019

Efficient Incremental Learning for Mobile Object Detection

Object detection models shipped with camera-equipped mobile devices cann...

8 Dawei Li, et al. ∙

∙ 03/20/2019

Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML

Lifelong learning, the problem of continual learning where tasks arrive ...

20 Jie Zhang, et al. ∙

∙ 03/19/2019

Class-incremental Learning via Deep Model Consolidation

Deep neural networks (DNNs) often suffer from "catastrophic forgetting" ...

12 Junting Zhang, et al. ∙

∙ 02/03/2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression

State-of-the-art deep model compression methods exploit the low-rank app...

12 Jie Zhang, et al. ∙

∙ 12/28/2018

Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations

In this paper, we study the loss surface of the over-parameterized fully...

0 Dawei Li, et al. ∙

∙ 06/04/2018

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices

Recurrent neural networks (RNNs) achieve cutting-edge performance on a v...

2 Jie Zhang, et al. ∙

∙ 03/13/2018

LCANet: End-to-End Lipreading with Cascaded Attention-CTC

Machine lipreading is a special type of automatic speech recognition (AS...

0 Kai Xu, et al. ∙

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