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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...
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05/25/2023
Privacy Protectability: An Information-theoretical Approach
Recently, inference privacy has attracted increasing attention. The infe...
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07/05/2022
Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling
In order to be applicable in real-world scenario, Boundary Attacks (BAs)...
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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...
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07/21/2021
A Sparsity Algorithm with Applications to Corporate Credit Rating
In Artificial Intelligence, interpreting the results of a Machine Learni...
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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...
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03/24/2021
Multi-view 3D Reconstruction with Transformer
Deep CNN-based methods have so far achieved the state of the art results...
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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...
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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...
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03/04/2020
Application of Deep Neural Networks to assess corporate Credit Rating
Recent literature implements machine learning techniques to assess corpo...
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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...
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11/16/2019
Distributed Machine Learning through Heterogeneous Edge Systems
Many emerging AI applications request distributed machine learning (ML) ...
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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...
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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...
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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...
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08/30/2019
Adversarial Training Methods for Network Embedding
Network Embedding is the task of learning continuous node representation...
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08/12/2019
Two Dimensional Router: Design and Implementation
Higher dimensional classification has attracted more attentions with inc...
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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 ...
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02/07/2019
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural Networks
With the widespread applications of deep convolutional neural networks (...
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12/29/2018
SPI-Optimizer: an integral-Separated PI Controller for Stochastic Optimization
To overcome the oscillation problem in the classical momentum-based opti...
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04/07/2017