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09/25/2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
A growing specter in the rise of machine learning is whether the decisio...
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09/14/2020
Fairness Constraints in Semi-supervised Learning
Fairness in machine learning has received considerable attention. Howeve...
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08/01/2020
Correlated Data in Differential Privacy: Definition and Analysis
Differential privacy is a rigorous mathematical framework for evaluating...
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07/19/2020
STAN: Towards Describing Bytecodes of Smart Contract
More than eight million smart contracts have been deployed into Ethereum...
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07/16/2020
Re-weighting and 1-Point RANSAC-Based PnP Solution to Handle Outliers
The ability to handle outliers is essential for performing the perspecti...
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07/02/2020
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Model compression and acceleration are attracting increasing attentions ...
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06/27/2020
Evolving Metric Learning for Incremental and Decremental Features
Online metric learning has been widely exploited for large-scale data cl...
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06/01/2020
Pivotal bootstrap for quantile-based modal regression
In this paper, we develop uniform inference methods for the conditional ...
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05/08/2020
Feature Location Benchmark for Decomposing and Reusing Android Apps
Software reuse enables developers to reuse architecture, programs and ot...
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05/02/2020
Differentially Private Collaborative Intrusion Detection Systems For VANETs
Vehicular ad hoc network (VANET) is an enabling technology in modern tra...
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04/13/2020
k-decay: A New Method For Learning Rate Schedule
It is well known that the learning rate is the most important hyper-para...
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04/02/2020
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
Named entity typing (NET) is a classification task of assigning an entit...
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12/12/2019
Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks
The development of the Internet of Things (IoT) generates a significant ...
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11/21/2019
Visual Tactile Fusion Object Clustering
Object clustering, aiming at grouping similar objects into one cluster w...
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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...
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11/05/2019
Some New Results on Splitter Sets
Splitter sets have been widely studied due to their applications in flas...
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10/08/2019
Overcoming DoF Limitation in Robust Beamforming: A Penalized Inequality-Constrained Approach
A well-known challenge in beamforming is how to optimally utilize the de...
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09/26/2019
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Incompleteness is a common problem for existing knowledge graphs (KGs), ...
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09/05/2019
TransSent: Towards Generation of Structured Sentences with Discourse Marker
This paper focuses on the task of generating long structured sentences w...
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08/21/2019
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
This paper focuses on the task of sentiment transfer on non-parallel tex...
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07/24/2019
Mixed-Supervised Dual-Network for Medical Image Segmentation
Deep learning-based medical image segmentation models usually require la...
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07/17/2019
Optimal Sampling for Generalized Linear Models under Measurement Constraints
Suppose we are using a generalized linear model to predict a scalar outc...
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07/07/2019
FC^2N: Fully Channel-Concatenated Network for Single Image Super-Resolution
Most current image super-resolution (SR) methods based on deep convoluti...
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06/28/2019
ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network
In recent years, memory-augmented neural networks(MANNs) have shown prom...
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06/14/2019
Data-Driven Machine Learning Techniques for Self-healing in Cellular Wireless Networks: Challenges and Solutions
For enabling automatic deployment and management of cellular networks, t...
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06/06/2019
Deep Reinforcement Learning for Multi-objective Optimization
This study proposes an end-to-end framework for solving multi-objective ...
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04/04/2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Few-shot learning aims to learn classifiers for new classes with only a ...
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03/28/2019
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Imbalanced data commonly exists in real world, espacially in sentiment-r...
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02/27/2019
Profile and Globe Tests of Mean Surfaces for Two-Sample Bivariate Functional Data
Multivariate functional data has received considerable attention but tes...
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02/18/2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Generative Adversarial Networks (GANs) are powerful tools for reconstruc...
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02/08/2019
Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation
Deception is a technique to mislead human or computer systems by manipul...
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01/27/2019
Acceleration of the NVT-flash calculation for multicomponent mixtures using deep neural network models
Phase equilibrium calculation, also known as flash calculation, has been...
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01/19/2019
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network
Spatial resolution is a critical imaging parameter in magnetic resonance...
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10/15/2018
Channel Splitting Network for Single MR Image Super-Resolution
High resolution magnetic resonance (MR) imaging is desirable in many cli...
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10/01/2018
A Game-Theoretic Foundation of Deception: Knowledge Acquisition and Fundamental Limits
Deception is a technique to mislead human or computer systems by manipul...
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09/19/2018
Accelerating Flash Calculation through Deep Learning Methods
In the past two decades, researchers have made remarkable progress in ac...
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08/17/2018
Convolutional Neural Networks based Intra Prediction for HEVC
Traditional intra prediction methods for HEVC rely on using the nearest ...
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07/09/2018
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
Weakly supervised temporal action detection is a Herculean task in under...
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06/19/2018
Blockchain in the Eyes of Developers
The popularity of blockchain technology continues to grow rapidly in bot...
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02/13/2018
On the nonexistence of linear perfect Lee codes
In 1968, Golomb and Welch conjectured that there does not exist perfect ...
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10/23/2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
Deep convolutional neural networks (CNNs) have recently achieved great s...
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06/22/2017
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning
Existing action detection algorithms usually generate action proposals t...
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08/07/2016
Bootstrapping Face Detection with Hard Negative Examples
Recently significant performance improvement in face detection was made ...
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07/20/2016
Simulating user learning in authoritative technology adoption: An agent based model for council-led smart meter deployment planning in the UK
How do technology users effectively transit from having zero knowledge a...
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07/20/2016
Modelling Office Energy Consumption: An Agent Based Approach
In this paper, we develop an agent-based model which integrates four imp...
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05/31/2013