IEEE TNNLS

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks

Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice Ombuki-Berman

Comments 16 pages, 9 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems

AFed: Algorithmic Fair Federated Learning

Huiqiang Chen, Tianqing Zhu, Wanlei Zhou, Wei Zhao

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Privacy-Aware Data Acquisition under Data Similarity in Regression Markets

Shashi Raj Pandey, Pierre Pinson, Petar Popovski

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Node classification in networks via simplicial interactions

Eunho Koo, Tongseok Lim

Comments v3 will be published in the IEEE Transactions on Neural Networks and Learning Systems

Variational Graph Generator for Multi-View Graph Clustering

Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He

Comments accepted by TNNLS

Adaptive Channel Allocation for Robust Differentiable Architecture Search

Chao Li, Jia Ning, Han Hu, Kun He

Comments Accepted by TNNLS

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation

Sucheng Ren, Xiaomeng Li

Comments Accepted by TNNLS

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks

Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang

Comments Accepted by IEEE TNNLS

Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients

Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu

Comments This manuscript is the accepted version for TNNLS

Disentangled Representation Learning for Causal Inference with Instruments

Debo Cheng, Jiuyong Li, Lin Liu, Ziqi Xu, Weijia Zhang, Jixue Liu, Thuc Duy Le

Comments 14 pages, 13 figures and 5 tables. Accepted by TNNLS

Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate

Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren

Comments Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems, 2024

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

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions

Zhenyue Qin, Yiqun Zhang Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon

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

A tree-based kernel for graphs with continuous attributes

Giovanni Da San Martino, Nicolò Navarin, Alessandro Sperduti

Comments This work has been submitted to the IEEE Transactions on Neural Networks and Learning Systems for possible publication

Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction

Siyuan Chen, Jiahai Wang

Comments 20 pages, accepted by IEEE TNNLS

Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient

Yintai Ma, Diego Klabjan, Jean Utke

Comments 18 pages, 11 figures, submitting to IEEE TNNLS

A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems

Siyuan Chen, Xin Du, Jiahai Wang

Comments 23 pages, accepted by IEEE TNNLS

Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos

Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee

Comments This work has been submitted to the IEEE Transactions on Neural Networks and Learning Systems (TNNLS) for possible publication

Automatic Graph Topology-Aware Transformer

Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Fang Liu, Shuyuan Yang

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

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems

Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou

Comments 16 pages, 5 figures, and 9 tables. This work has been accepted by TNNLS

BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck

Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen

Comments This paper is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), code is available at GitHub repository (https://github.com/SJYuCNEL/brain-and-Information-Bottleneck/)

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning

Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling, Xinchao Wang, Yanfeng Wang

Comments Accepted by TNNLS 2024

On exploring the potential of quantum auto-encoder for learning quantum systems

Yuxuan Du, Dacheng Tao

Comments Accepted to IEEE Transactions on Neural Networks and Learning Systems

Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature

Ruikai Yang, Fan He, Mingzhen He, Jie Yang, Xiaolin Huang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning

He Wang, Yang Xu, Zebin Wu, Zhihui Wei

Comments Accepted by TNNLS 2024 Some errors has been corrected

GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection

Yanguang Sun, Hanyu Xuan, Jian Yang, Lei Luo

Comments Accepted at TNNLS 2024

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis

Shashank Kotyan, Tatsuya Ueda, Danilo Vasconcellos Vargas

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

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning

Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2024)

Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network

Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jiangxing Liao, Ran Cheng

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

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system

Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li

Comments 13 pages, 10 figures

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

A Systematic Review on Long-Tailed Learning

Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama

Comments Current Under Revision at IEEE TNNLS. [This is the long/Full-length version of our Long-Tailed Learning Survey paper]