b'Tao Zhang'

research

∙ 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...

9 Tao Zhang, et al. ∙

research

∙ 09/14/2020

Fairness Constraints in Semi-supervised Learning

Fairness in machine learning has received considerable attention. Howeve...

15 Tao Zhang, et al. ∙

research

∙ 08/01/2020

Correlated Data in Differential Privacy: Definition and Analysis

Differential privacy is a rigorous mathematical framework for evaluating...

0 Tao Zhang, et al. ∙

research

∙ 07/19/2020

STAN: Towards Describing Bytecodes of Smart Contract

More than eight million smart contracts have been deployed into Ethereum...

1 Xiaoqi Li, et al. ∙

research

∙ 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...

12 Haoyin Zhou, et al. ∙

research

∙ 07/02/2020

Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture

Model compression and acceleration are attracting increasing attentions ...

0 Jinhua Liang, et al. ∙

research

∙ 06/27/2020

Evolving Metric Learning for Incremental and Decremental Features

Online metric learning has been widely exploited for large-scale data cl...

7 Jiahua Dong, et al. ∙

research

∙ 06/01/2020

Pivotal bootstrap for quantile-based modal regression

In this paper, we develop uniform inference methods for the conditional ...

0 Tao Zhang, et al. ∙

research

∙ 05/08/2020

Feature Location Benchmark for Decomposing and Reusing Android Apps

Software reuse enables developers to reuse architecture, programs and ot...

0 Yutian Tang, et al. ∙

research

∙ 05/02/2020

Differentially Private Collaborative Intrusion Detection Systems For VANETs

Vehicular ad hoc network (VANET) is an enabling technology in modern tra...

0 Tao Zhang, et al. ∙

research

∙ 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...

57 Tao Zhang, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 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 ...

0 Tao Zhang, et al. ∙

research

∙ 11/21/2019

Visual Tactile Fusion Object Clustering

Object clustering, aiming at grouping similar objects into one cluster w...

0 Tao Zhang, et al. ∙

research

∙ 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...

0 Ao Ren, et al. ∙

research

∙ 11/05/2019

Some New Results on Splitter Sets

Splitter sets have been widely studied due to their applications in flas...

0 Zuo Ye, et al. ∙

research

∙ 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...

0 Wenqiang Pu, et al. ∙

research

∙ 09/26/2019

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Incompleteness is a common problem for existing knowledge graphs (KGs), ...

0 Yao Zhu, et al. ∙

research

∙ 09/05/2019

TransSent: Towards Generation of Structured Sentences with Discourse Marker

This paper focuses on the task of generating long structured sentences w...

0 Xing Wu, et al. ∙

research

∙ 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...

0 Xing Wu, et al. ∙

research

∙ 07/24/2019

Mixed-Supervised Dual-Network for Medical Image Segmentation

Deep learning-based medical image segmentation models usually require la...

9 Duo Wang, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 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...

2 Xiaole Zhao, et al. ∙

research

∙ 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...

0 Zhangheng Li, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 06/06/2019

Deep Reinforcement Learning for Multi-objective Optimization

This study proposes an end-to-end framework for solving multi-objective ...

0 Kaiwen Li, et al. ∙

research

∙ 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 ...

0 Duo Wang, et al. ∙

research

∙ 03/28/2019

Imbalanced Sentiment Classification Enhanced with Discourse Marker

Imbalanced data commonly exists in real world, espacially in sentiment-r...

0 Tao Zhang, et al. ∙

research

∙ 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...

0 Jin Yang, et al. ∙

research

∙ 02/18/2019

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

Generative Adversarial Networks (GANs) are powerful tools for reconstruc...

0 Zhongnian Li, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 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...

0 Yiteng Li, et al. ∙

research

∙ 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...

0 Zhao Xiaole, et al. ∙

research

∙ 10/15/2018

Channel Splitting Network for Single MR Image Super-Resolution

High resolution magnetic resonance (MR) imaging is desirable in many cli...

0 Xiaole Zhao, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 09/19/2018

Accelerating Flash Calculation through Deep Learning Methods

In the past two decades, researchers have made remarkable progress in ac...

0 Yu Li, et al. ∙

research

∙ 08/17/2018

Convolutional Neural Networks based Intra Prediction for HEVC

Traditional intra prediction methods for HEVC rely on using the nearest ...

0 Wenxue Cui, et al. ∙

research

∙ 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...

0 Jia-Xing Zhong, et al. ∙

research

∙ 06/19/2018

Blockchain in the Eyes of Developers

The popularity of blockchain technology continues to grow rapidly in bot...

0 He Jiang, et al. ∙

research

∙ 02/13/2018

On the nonexistence of linear perfect Lee codes

In 1968, Golomb and Welch conjectured that there does not exist perfect ...

0 Tao Zhang, et al. ∙

research

∙ 10/23/2017

A Survey of Model Compression and Acceleration for Deep Neural Networks

Deep convolutional neural networks (CNNs) have recently achieved great s...

0 Yu Cheng, et al. ∙

research

∙ 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...

0 Jingjia Huang, et al. ∙

research

∙ 08/07/2016

Bootstrapping Face Detection with Hard Negative Examples

Recently significant performance improvement in face detection was made ...

0 Shaohua Wan, et al. ∙

research

∙ 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...

0 Tao Zhang, et al. ∙

research

∙ 07/20/2016

Modelling Office Energy Consumption: An Agent Based Approach

In this paper, we develop an agent-based model which integrates four imp...

0 Tao Zhang, et al. ∙

research

∙ 05/31/2013

Modelling Electricity Consumption in Office Buildings: An Agent Based Approach

In this paper, we develop an agent-based model which integrates four imp...

0 Tao Zhang, et al. ∙

Tao Zhang

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