Dan Wang | DeepAI

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Wei Zhang
393 publications
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119 publications
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Qi Li
109 publications
Xiaojiang Du
89 publications
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86 publications
Zhi Chen
83 publications
Liang Zhang
76 publications
Liqiang Nie
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Shu Yang
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Heyan Huang
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∙ 09/09/2023

Generation and Recombination for Multifocus Image Fusion with Free Number of Inputs

Multifocus image fusion is an effective way to overcome the limitation o...

0 Huafeng Li, et al. ∙

∙ 05/25/2023

Privacy Protectability: An Information-theoretical Approach

Recently, inference privacy has attracted increasing attention. The infe...

0 Siping Shi, et al. ∙

∙ 07/05/2022

Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling

In order to be applicable in real-world scenario, Boundary Attacks (BAs)...

0 Dan Wang, et al. ∙

∙ 06/10/2022

Generalizable Neural Radiance Fields for Novel View Synthesis with Transformer

We propose a Transformer-based NeRF (TransNeRF) to learn a generic neura...

0 Dan Wang, et al. ∙

∙ 07/21/2021

A Sparsity Algorithm with Applications to Corporate Credit Rating

In Artificial Intelligence, interpreting the results of a Machine Learni...

0 Dan Wang, et al. ∙

∙ 07/06/2021

On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation

On edge devices, data scarcity occurs as a common problem where transfer...

0 Zimu Zheng, et al. ∙

∙ 03/24/2021

Multi-view 3D Reconstruction with Transformer

Deep CNN-based methods have so far achieved the state of the art results...

53 Dan Wang, et al. ∙

∙ 10/17/2020

Is Image Encoding Beneficial for Deep Learning in Finance? An Analysis of Image Encoding Methods for the Application of Convolutional Neural Networks in Finance

In 2012, SEC mandated all corporate filings for any company doing busine...

0 Dan Wang, et al. ∙

∙ 08/19/2020

Organizing Virtual Conferences through Mirrors: The ACM e-Energy 2020 Experience

The emergence of the world-wide COVID-19 pandemic has forced academic co...

0 Dan Wang, et al. ∙

∙ 03/04/2020

Application of Deep Neural Networks to assess corporate Credit Rating

Recent literature implements machine learning techniques to assess corpo...

0 Parisa Golbayani, et al. ∙

∙ 02/05/2020

CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks

With the great success of networks, it witnesses the increasing demand f...

6 Dan Wang, et al. ∙

∙ 11/16/2019

Distributed Machine Learning through Heterogeneous Edge Systems

Many emerging AI applications request distributed machine learning (ML) ...

0 Hanpeng Hu, et al. ∙

∙ 10/06/2019

Mobile APP User Attribute Prediction by Heterogeneous Information Network Modeling

User-based attribute information, such as age and gender, is usually con...

0 Hekai Zhang, et al. ∙

∙ 09/28/2019

W-RNN: News text classification based on a Weighted RNN

Most of the information is stored as text, so text mining is regarded as...

0 Dan Wang, et al. ∙

∙ 09/04/2019

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution

This paper studies the problem of cross-network node classification to o...

0 Quanyu Dai, et al. ∙

∙ 08/30/2019

Adversarial Training Methods for Network Embedding

Network Embedding is the task of learning continuous node representation...

2 Quanyu Dai, et al. ∙

∙ 08/12/2019

Two Dimensional Router: Design and Implementation

Higher dimensional classification has attracted more attentions with inc...

0 Shu Yang, et al. ∙

∙ 02/26/2019

Market-Based Model in CR-WSN: A Q-Probabilistic Multi-agent Learning Approach

The ever-increasingly urban populations and their material demands have ...

0 Dan Wang, et al. ∙

∙ 02/07/2019

CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks

With the widespread applications of deep convolutional neural networks (...

0 Xinrui Cui, et al. ∙

∙ 12/29/2018

SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization

To overcome the oscillation problem in the classical momentum-based opti...

28 Dan Wang, et al. ∙

∙ 04/07/2017

Supervised Deep Hashing for Hierarchical Labeled Data

Recently, hashing methods have been widely used in large-scale image ret...

0 Dan Wang, et al. ∙

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