IEEE TNNLS

Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Ran Tao

Comments 15 pages, 13 figures, 11 tables

Journal ref IEEE Transactions on Neural Networks and Learning Systems,2024

Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation

Giorgio Morales, John W. Sheppard

Comments Accepted at the IEEE Transactions on Neural Networks and Learning Systems

Journal ref G. Morales and J. W. Sheppard, "Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation," in IEEE Transactions on Neural Networks and Learning Systems, 2023

Understanding Pooling in Graph Neural Networks

Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi

Comments 10 pages, 6 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems (Volume: 35, Issue: 2, February 2024)

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

Daniele Grattarola, Daniele Zambon, Cesare Alippi, Lorenzo Livi

Comments 14 pages, 8 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems (Volume: 31, Issue: 6, June 2020)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization

Ziming Wang, Shuang Lian, Yuhao Zhang, Xiaoxin Cui, Rui Yan, Huajin Tang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

AdaptiveClick: Clicks-aware Transformer with Adaptive Focal Loss for Interactive Image Segmentation

Jiacheng Lin, Jiajun Chen, Kailun Yang, Alina Roitberg, Siyu Li, Zhiyong Li, Shutao Li

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS). The source code is publicly available at https://github.com/lab206/AdaptiveClick

A Generative Shape Compositional Framework to Synthesise Populations of Virtual Chimaeras

Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi

Comments 15 pages, 4 figures, 4 tables. Accepted by IEEE Transactions on Neural Networks and Learning Systems

Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation

Lian Xu, Mohammed Bennamoun, Farid Boussaid, Wanli Ouyang, Ferdous Sohel, Dan Xu

Comments Accepted at IEEE Transactions on Neural Networks and Learning Systems. arXiv admin note: substantial text overlap with arXiv:2107.11787

Transferability-Guided Cross-Domain Cross-Task Transfer Learning

Yang Tan, Enming Zhang, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang

Comments This work is accepted by IEEE TNNLS. Please see the official version https://ieeexplore.ieee.org/abstract/document/10420486.Copyright may be transferred without notice, after which this version may no longer be accessible

Practical Transferability Estimation for Image Classification Tasks

Yang Tan, Yang Li, Shao-Lun Huang

Comments This paper is not the latest version. Please refer to Transferability-Guided Cross-Domain Cross-Task Transfer Learning (IEEE TNNLS'24) for more details.https://ieeexplore.ieee.org/abstract/document/10420486

Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs

Tianyu Zhang, Chengbin Hou, Rui Jiang, Xuegong Zhang, Chenghu Zhou, Ke Tang, Hairong Lv

Comments Accepted by IEEE TNNLS

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning

M. A. Ganaie, M. Sajid, A. K. Malik, M. Tanveer

Comments IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2024

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

Deng-Ping Fan, Zheng Lin, Jia-Xing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng

Comments Accepted in TNNLS20. 15 pages, 12 figures. Code: https://github.com/DengPingFan/D3NetBenchmark

Journal ref IEEE Transactions on neural networks and learning systems, 2021, 32(5): 2075-2089

Estimating counterfactual treatment outcomes over time in complex multiagent scenarios

Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda

Comments 16 pages, 11 figures. Accepted in IEEE Transactions on Neural Networks and Learning Systems

Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting

Mingyue Guo, Binghui Chen, Zhaoyi Yan, Yaowei Wang, Qixiang Ye

Comments Multidomain learning; Domain-guided virtual classifier; Instance-specific batch normalization

Journal ref IEEE Transactions on Neural Networks and Learning Systems,2024

A Novel Generator with Auxiliary Branch for Improving GAN Performance

Seung Park, Yong-Goo Shin

Journal ref IEEE transactions on neural networks and learning systems 2024

Learning to Predict Gradients for Semi-Supervised Continual Learning

Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2024

Image Deblurring by Exploring In-depth Properties of Transformer

Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma

Comments accept by IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2024

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images

Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Yan Luo, Chang Wen Chen

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees

Richeng Jin, Yufan Huang, Xiaofan He, Huaiyu Dai, Tianfu Wu

Journal ref Part of this work is published in IEEE Transactions on Neural Networks and Learning Systems, 2024

Projected Belief Networks With Discriminative Alignment for Acoustic Event Classification: Rivaling State of the Art CNNs

Paul M. Baggenstoss, Kevin Wilkinghoff, Felix Govaers, Frank Kurth

Comments 15 Pages. Submitted to IEEE-TNNLS

Information Recovery-Driven Deep Incomplete Multiview Clustering Network

Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

Comments Accepted by TNNLS 2023. Please contact me if you have any questions: liucl1996@163.com. The code is available at: https://github.com/justsmart/RecFormer

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks

Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Chowdhury, Amith Khandakar, Anas Tahir

Comments arXiv admin note: substantial text overlap with arXiv:2110.02215

Journal ref in IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 9363-9374, Nov. 2023

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

Chaoxi Niu, Guansong Pang, Ling Chen

Comments Accepted to TNNLS

AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets

Yuqing Zhao, Divya Saxena, Jiannong Cao

Comments This article has been accepted by TNNLS

Distance Guided Generative Adversarial Network for Explainable Binary Classifications

Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan

Comments 12 pages, 8 figures. This work has been submitted to the IEEE TNNLS for possible publication. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media

On the Size and Width of the Decoder of a Boolean Threshold Autoencoder

Tatsuya Akutsu, Avraham A. Melkman

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2023

Understanding Deep Learning via Decision Boundary

Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao

Comments Accepted by IEEE TNNLS

Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting

Jiaqi Gao, Zhizhong Huang, Yiming Lei, Hongming Shan, James Z. Wang, Fei-Yue Wang, Junping Zhang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning

Xingqun Qi, Muyi Sun, Zijian Wang, Jiaming Liu, Qi Li, Fang Zhao, Shanghang Zhang, Caifeng Shan

Comments Accepted to IEEE TNNLS