Search Results for author: Weiping Ding

Found 32 papers, 10 papers with code

Referring Flexible Image Restoration

1 code implementation16 Apr 2024 Runwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue

These situations and requirements shed light on a new challenge in image restoration, where a model must perceive and remove specific degradation types specified by human commands in images with multiple degradations.

Image Restoration

How to characterize imprecision in multi-view clustering?

no code implementations7 Apr 2024 Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding

Moreover, if an object is in the overlapping region of several singleton clusters, it can be assigned to a meta-cluster, defined as the union of these singleton clusters, to characterize the local imprecision in the result.

Clustering Decision Making

Few-Shot Object Detection: Research Advances and Challenges

no code implementations7 Apr 2024 Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You

This paper presents a comprehensive survey to review the significant advancements in the field of FSOD in recent years and summarize the existing challenges and solutions.

Few-Shot Learning Few-Shot Object Detection +2

DE$^3$-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks

no code implementations3 Feb 2024 Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao

DE$^3$-BERT implements a hybrid exiting strategy that supplements classic entropy-based local information with distance-based global information to enhance the estimation of prediction correctness for more reliable early exiting decisions.

Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities

1 code implementation14 Dec 2023 Runwei Guan, Haocheng Zhao, Shanliang Yao, Ka Lok Man, Xiaohui Zhu, Limin Yu, Yong Yue, Jeremy Smith, Eng Gee Lim, Weiping Ding, Yutao Yue

Urban water-surface robust perception serves as the foundation for intelligent monitoring of aquatic environments and the autonomous navigation and operation of unmanned vessels, especially in the context of waterway safety.

Autonomous Navigation Multi-Task Learning +5

Survey on deep learning in multimodal medical imaging for cancer detection

no code implementations4 Dec 2023 Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao

Finally, we discuss the current scope of work and provide directions for the future development of multimodal cancer detection.

object-detection Object Detection

InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity

no code implementations30 Nov 2023 Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang, Weiping Ding

In this study, we introduce a novel brain causal inference model named InfoFlowNet, which leverages the self-attention mechanism to capture associations among electroencephalogram (EEG) time series.

Causal Discovery Causal Inference +3

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning

no code implementations19 Aug 2023 Shiming Chen, Shihuang Chen, Wenjin Hou, Weiping Ding, Xinge You

However, existing GAN-based generative ZSL methods are based on hand-crafted models, which cannot adapt to various datasets/scenarios and fails to model instability.

Generative Adversarial Network Neural Architecture Search +1

A Survey on Fairness-aware Recommender Systems

no code implementations1 Jun 2023 Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

As information filtering services, recommender systems have extremely enriched our daily life by providing personalized suggestions and facilitating people in decision-making, which makes them vital and indispensable to human society in the information era.

Decision Making Fairness +1

GBG++: A Fast and Stable Granular Ball Generation Method for Classification

no code implementations29 May 2023 Qin Xie, Qinghua Zhang, Shuyin Xia, Fan Zhao, Chengying Wu, Guoyin Wang, Weiping Ding

Second, considering the influence of the sample size within the GB on the GB's quality, based on the GBG++ method, an improved GB-based $k$-nearest neighbors algorithm (GB$k$NN++) is presented, which can reduce misclassification at the class boundary.

Outlier Detection

Assessor-Guided Learning for Continual Environments

1 code implementation21 Mar 2023 Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko

This paper proposes an assessor-guided learning strategy for continual learning where an assessor guides the learning process of a base learner by controlling the direction and pace of the learning process thus allowing an efficient learning of new environments while protecting against the catastrophic interference problem.

Continual Learning Incremental Learning +2

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions

no code implementations16 Jan 2023 Shradha Verma, Tripti Goel, M Tanveer, Weiping Ding, Rahul Sharma, R Murugan

Moreover, for accurate diagnosis of SCZ, researchers have used machine learning (ML) algorithms for the past decade to distinguish the brain patterns of healthy and SCZ brains using MRI and fMRI images.

EEG Hallucination

Efficient Evaluation Methods for Neural Architecture Search: A Survey

no code implementations14 Jan 2023 Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan sun

In surveying each category, we further discuss the design principles and analyze the strength and weaknesses to clarify the landscape of existing EEMs, thus making easily understanding the research trends of EEMs.

Neural Architecture Search

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement

1 code implementation10 Jan 2023 Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

The robust performance of SCDNN provides a new perspective to exploit knowledge across deep learning models from time and spectral domains.

Electrocardiography (ECG) Feature Engineering +1

FAF: A novel multimodal emotion recognition approach integrating face, body and text

no code implementations20 Nov 2022 Zhongyu Fang, Aoyun He, Qihui Yu, Baopeng Gao, Weiping Ding, Tong Zhang, Lei Ma

In this paper, we developed a large multimodal emotion dataset, named "HED" dataset, to facilitate the emotion recognition task, and accordingly propose a multimodal emotion recognition method.

Multimodal Emotion Recognition

FedTP: Federated Learning by Transformer Personalization

1 code implementation3 Nov 2022 Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi

Instead of using a vanilla personalization mechanism that maintains personalized self-attention layers of each client locally, we develop a learn-to-personalize mechanism to further encourage the cooperation among clients and to increase the scablability and generalization of FedTP.

Personalized Federated Learning Privacy Preserving

Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction

no code implementations9 Apr 2022 Christian Flores Vega, Jonathan Quevedo, Elmer Escandón, Mehrin Kiani, Weiping Ding, Javier Andreu-Perez

The remarkable performance of the proposed model, EEG-TCFNet, and the general integration of fuzzy units to other classifiers would pave the way for enhanced P300-based BCIs for smart home interaction within natural settings.

Brain Computer Interface Classification +1

A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

no code implementations10 Jan 2022 Shuyin Xia, Cheng Wang, Guoyin Wang, Weiping Ding, Xinbo Gao, JianHang Yu, Yujia Zhai, Zizhong Chen

The granular-ball rough set can simultaneously represent Pawlak rough sets, and the neighborhood rough set, so as to realize the unified representation of the two.

feature selection

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

no code implementations9 Dec 2021 Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

The multi-domain shift problem for the multi-center and multi-scanner studies is therefore nontrivial that is also crucial for a dependable recognition and critical for reproducible and objective diagnosis and prognosis.

Computed Tomography (CT) Weakly-supervised Learning

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network

1 code implementation21 Aug 2020 Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding

In essence, CDE-GAN incorporates dual evolution with respect to the generator(s) and discriminators into a unified evolutionary adversarial framework to conduct effective adversarial multi-objective optimization.

GAN image forensics Generative Adversarial Network +1

Discovering High Utility-Occupancy Patterns from Uncertain Data

no code implementations18 Aug 2020 Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding

To find patterns that can represent the supporting transaction, a recent study was conducted to mine high utility-occupancy patterns whose contribution to the utility of the entire transaction is greater than a certain value.


A General Approach for Using Deep Neural Network for Digital Watermarking

1 code implementation8 Mar 2020 Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin

Technologies of the Internet of Things (IoT) facilitate digital contents such as images being acquired in a massive way.

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples

no code implementations8 Oct 2019 Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew Soon Ong, Weiping Ding

The advantage of NADINE, namely elastic structure and online learning trait, is numerically validated using nine data stream classification and regression problems where it demonstrates performance improvement over prominent algorithms in all problems.

General Classification regression

Effects of Repetitive SSVEPs on EEG Complexity using Multiscale Inherent Fuzzy Entropy

1 code implementation18 Sep 2018 Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin

These results suggest that multiscale inherent fuzzy entropy is an EEG pattern with which brain complexity can be assessed using repetitive SSVEP stimuli.

Signal Processing

Semi-supervised Feature Learning For Improving Writer Identification

no code implementations15 Jul 2018 Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao

In this study, a semi-supervised feature learning pipeline was proposed to improve the performance of writer identification by training with extra unlabeled data and the original labeled data simultaneously.

Data Augmentation

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