b'Miao Zhang'

research

∙ 05/23/2023

Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet

Transonic buffet is a flow instability phenomenon that arises from the i...

0 Jing Wang, et al. ∙

research

∙ 05/14/2023

SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency

Images captured under low-light conditions are often plagued by several ...

0 Miao Zhang, et al. ∙

research

∙ 03/06/2023

Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils

Aerodynamic performance evaluation is an important part of the aircraft ...

0 Hairun Xie, et al. ∙

research

∙ 02/24/2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version

Due to the sweeping digitalization of processes, increasingly vast amoun...

0 David Campos, et al. ∙

research

∙ 02/23/2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Graph neural architecture search (NAS) has gained popularity in automati...

0 Xin Zheng, et al. ∙

research

∙ 12/08/2022

AutoPINN: When AutoML Meets Physics-Informed Neural Networks

Physics-Informed Neural Networks (PINNs) have recently been proposed to ...

0 Xinle Wu, et al. ∙

research

∙ 11/29/2022

Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting

Sensors in cyber-physical systems often capture interconnected processes...

0 Xinle Wu, et al. ∙

research

∙ 11/16/2022

Fair contrastive pre-training for geographic images

Contrastive representation learning is widely employed in visual recogni...

0 Miao Zhang, et al. ∙

research

∙ 10/09/2022

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters

Adapter Tuning, which freezes the pretrained language models (PLMs) and ...

5 Shwai He, et al. ∙

research

∙ 06/21/2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity

Federated Learning (FL) enables training a global model without sharing ...

0 Guanghao Li, et al. ∙

research

∙ 05/05/2022

Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils

Traditional airfoil parametric technique has significant limitation in m...

0 Hairun Xie, et al. ∙

research

∙ 04/09/2022

Segmenting across places: The need for fair transfer learning with satellite imagery

The increasing availability of high-resolution satellite imagery has ena...

0 Miao Zhang, et al. ∙

research

∙ 02/14/2022

Graph Neural Networks for Graphs with Heterophily: A Survey

Recent years have witnessed fast developments of graph neural networks (...

10 Xin Zheng, et al. ∙

research

∙ 12/03/2021

MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection

Weakly supervised salient object detection (WSOD) targets to train a CNN...

0 Yongri Piao, et al. ∙

research

∙ 11/25/2021

BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule

Differentiable Architecture Search (DARTS) has received massive attentio...

0 Miao Zhang, et al. ∙

research

∙ 10/30/2021

MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning

In visual recognition tasks, few-shot learning requires the ability to l...

0 Miao Zhang, et al. ∙

research

∙ 10/08/2021

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

For the goal of automated design of high-performance deep convolutional ...

0 Shengran Hu, et al. ∙

research

∙ 09/04/2021

To be Critical: Self-Calibrated Weakly Supervised Learning for Salient Object Detection

Weakly-supervised salient object detection (WSOD) aims to develop salien...

0 Yongri Piao, et al. ∙

research

∙ 06/24/2021

Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging

Collaborative learning, which enables collaborative and decentralized tr...

0 Liangqiong Qu, et al. ∙

research

∙ 06/22/2021

Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective

With leveraging the weight-sharing and continuous relaxation to enable g...

13 Miao Zhang, et al. ∙

research

∙ 04/13/2021

Learning Multi-modal Information for Robust Light Field Depth Estimation

Light field data has been demonstrated to facilitate the depth estimatio...

0 Yongri Piao, et al. ∙

research

∙ 04/13/2021

Dynamic Fusion Network For Light Field Depth Estimation

Focus based methods have shown promising results for the task of depth e...

0 Yongri Piao, et al. ∙

research

∙ 03/31/2021

Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers

In this paper, we consider a prototypical convex optimization problem wi...

0 Jianchao Bai, et al. ∙

research

∙ 03/17/2021

An Integration Test Order Strategy to Consider Control Coupling

Integration testing is a very important step in software testing. Existi...

0 Shujuan Jiang, et al. ∙

research

∙ 03/12/2021

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

Code comment has been an important part of computer programs, greatly fa...

0 Zhen Yang, et al. ∙

research

∙ 01/05/2021

Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network

This paper investigates a machine learning-based power allocation design...

0 Miao Zhang, et al. ∙

research

∙ 12/30/2020

DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection

Light field data exhibit favorable characteristics conducive to saliency...

0 Yongri Piao, et al. ∙

research

∙ 12/20/2020

Measurement bias: a structural perspective

The causal structure for measurement bias (MB) remains controversial. Ai...

0 Yijie Li, et al. ∙

research

∙ 10/19/2020

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

The detection of thoracic abnormalities challenge is organized by the De...

4 Jie Lian, et al. ∙

research

∙ 07/23/2020

Accurate RGB-D Salient Object Detection via Collaborative Learning

Benefiting from the spatial cues embedded in depth images, recent progre...

0 Wei Ji, et al. ∙

research

∙ 06/02/2020

Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence

Earthquake early warning systems are required to report earthquake locat...

0 Xiong Zhang, et al. ∙

research

∙ 04/22/2020

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

This paper introduces our solution for the Track2 in AI City Challenge 2...

1 Shuting He, et al. ∙

research

∙ 03/04/2020

Resource Allocation Technique for Hybrid TDMA-NOMA System with Opportunistic Time Assignment

In this paper, we develop a resource allocation technique for a hybrid t...

0 Xinchen Wei, et al. ∙

research

∙ 08/30/2019

Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting

In this paper, we investigate different secrecy energy efficiency (SEE) ...

0 Miao Zhang, et al. ∙

research

∙ 07/22/2019

Efficient Novelty-Driven Neural Architecture Search

One-Shot Neural architecture search (NAS) attracts broad attention recen...

0 Miao Zhang, et al. ∙

research

∙ 07/21/2019

High Dimensional Bayesian Optimization via Supervised Dimension Reduction

Bayesian optimization (BO) has been broadly applied to computational exp...

0 Miao Zhang, et al. ∙

research

∙ 01/02/2019

Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization

This paper investigates lung nodule classification by using deep neural ...

0 Miao Zhang, et al. ∙

research

∙ 01/02/2019

Ancient Painting to Natural Image: A New Solution for Painting Processing

Collecting a large-scale and well-annotated dataset for image processing...

2 Tingting Qiao, et al. ∙

research

∙ 09/12/2018

Robust Beamforming for AN Aided MISO SWIPT System with Unknown Eavesdroppers and Non-linear EH Model

This work studies a beamforming design for downlink transmission of a mu...

0 Miao Zhang, et al. ∙

research

∙ 11/15/2017

Human and Machine Speaker Recognition Based on Short Trivial Events

Trivial events are ubiquitous in human to human conversations, e.g., cou...

0 Miao Zhang, et al. ∙

research

∙ 06/22/2017

Speaker Recognition with Cough, Laugh and "Wei"

This paper proposes a speaker recognition (SRE) task with trivial speech...

0 Miao Zhang, et al. ∙

research

∙ 02/24/2017

Understanding Performance of Edge Content Caching for Mobile Video Streaming

Today's Internet has witnessed an increase in the popularity of mobile v...

0 Ge Ma, et al. ∙

Miao Zhang

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