IEEE TNNLS

NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification

Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

Comments accepted by TNNLS

Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity

Chang Gao, Tobi Delbruck, Shih-Chii Liu

Comments Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems, 2022

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Self-Paced Deep Regression Forests with Consideration of Ranking Fairness

Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu

Comments The article is submitted to TNNLS, and is under review

Reservoir Memory Machines as Neural Computers

Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer

Comments In print at the special issue 'New Frontiers in Extremely Efficient Reservoir Computing' of IEEE TNNLS

Journal ref IEEE Transactions on Neural Networks and Learning Systems 33 (2022) 2575-2585

Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning

Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet Kondoz

Comments Accepted for publication on IEEE Transactions on Neural Networks and Learning Systems

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction

Lingbo Liu, Zewei Yang, Guanbin Li, Kuo Wang, Tianshui Chen, Liang Lin

Comments This work has been accepted by IEEE Transactions on Neural Networks and Learning Systems

RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis

Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta, Francois-Xavier Devailly, Wissem Maazoun, Patrick Cardinal

Comments Paper submitted to IEEE Transactions on Neural Networks and Learning Systems

Sub-Architecture Ensemble Pruning in Neural Architecture Search

Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu

Comments Accepted by TNNLS. This work was done when the first author was a visiting research scholar at Texas A&M University

SiReN: Sign-Aware Recommendation Using Graph Neural Networks

Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin

Comments 15 pages, 5 figures, 3 tables; to appear in the IEEE Transactions on Neural Networks and Learning Systems (Special Issue on Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications) (Please cite our journal version that will appear in an upcoming issue.)

Learning Selective Sensor Fusion for States Estimation

Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS). arXiv admin note: text overlap with arXiv:1903.01534

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks

Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi

Comments 8 pages, 7 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences

Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang

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

Adaptive Block Floating-Point for Analog Deep Learning Hardware

Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David Widemann

Comments 13 pages including Appendix, 7 figures, under submission at IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Cluster-based Input Weight Initialization for Echo State Networks

Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Comments Accepted for publication in IEEE Transactions on Neural Network and Learning System (TNNLS), 2022

Convex Subspace Clustering by Adaptive Block Diagonal Representation

Yunxia Lin, Songcan Chen

Comments accepted by IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 14 pages, 14 figures, 10 tables

Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

Yixiao Ge, Feng Zhu, Dapeng Chen, Rui Zhao, Xiaogang Wang, Hongsheng Li

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

Single-Frame based Deep View Synchronization for Unsynchronized Multi-Camera Surveillance

Qi Zhang, Antoni B. Chan

Comments Accepted to IEEE TNNLS

Federated Generalized Face Presentation Attack Detection

Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022. arXiv admin note: substantial text overlap with arXiv:2005.14638

Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Brain Tumor Segmentation

Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth Behrman

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2021

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey

Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Weixing Zheng, Wenli Du, Feng Qian, Juergen Kurths

Comments This paper has been accepted by IEEE TNNLS

Duality-Gated Mutual Condition Network for RGBT Tracking

Andong Lu, Cun Qian, Chenglong Li, Jin Tang, Liang Wang

Comments Accepted at TNNLS-2022

GTNet: A Tree-Based Deep Graph Learning Architecture

Nan Wu, Chaofan Wang

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

A Comprehensive Survey on Community Detection with Deep Learning

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

Comments 29 Pages

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022: 1-21

DR-GAN: Distribution Regularization for Text-to-Image Generation

Hongchen Tan, Xiuping Liu, Baocai Yin, Xin Li

Comments Accepted by TNNLS

MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification

Hongchen Tan, Xiuping Liu, Baocai Yin, Xin Li

Comments Accepted by TNNLS

Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions

Sangmin Woo, Junhyug Noh, Kangil Kim

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

A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification

Heng-Chao Li, Wen-Shuai Hu, Wei Li, Jun Li, Qian Du, Antonio Plaza

Comments 16 pages, 10 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 747-761, Feb. 2022

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang

Comments Accepted to IEEE TNNLS

Model Pruning Enables Efficient Federated Learning on Edge Devices

Yuang Jiang, Shiqiang Wang, Victor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas

Comments Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Random Hyperboxes

Thanh Tung Khuat, Bogdan Gabrys

Comments @20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2021)