IEEE TNNLS

Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks

Yu Chen, Lingfei Wu, Mohammed J. Zaki

Comments Accepted by TNNLS 2023

Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification

Xuehu Liu, Chenyang Yu, Pingping Zhang, Huchuan Lu

Comments Accepted by TNNLS, including 11 pages,8 figures,8 tables. Modifications may be performed

Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

Isabell Lederer, Rudolf Mayer, Andreas Rauber

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

Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation

Chunyan Wang, Dong Zhang, Liyan Zhang, Jinhui Tang

Comments accepted by TNNLS

Weakly-Supervised Temporal Action Localization with Bidirectional Semantic Consistency Constraint

Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao

Comments accepted by TNNLS

Deep Convolutional Tables: Deep Learning without Convolutions

Shay Dekel, Yosi Keller, Aharon Bar-Hillel

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

HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search

Di Wang, Bo Du, Liangpei Zhang, Dacheng Tao

Comments Accepted by IEEE TNNLS. The code will be released at https://github.com/DotWang/HKNAS

Hierarchical Weight Averaging for Deep Neural Networks

Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li

Comments Accept by TNNLS

Mesh Convolution with Continuous Filters for 3D Surface Parsing

Huan Lei, Naveed Akhtar, Mubarak Shah, Ajmal Mian

Comments Accepted to TNNLS

Progressive Transfer Learning for Dexterous In-Hand Manipulation with Multi-Fingered Anthropomorphic Hand

Yongkang Luo, Wanyi Li, Peng Wang, Haonan Duan, Wei Wei, Jia Sun

Comments 12 pages, 7 figures, submitted to TNNLS

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Rafael Figueiredo Prudencio, Marcos R. O. A. Maximo, Esther Luna Colombini

Comments 21 pages; Final version accepted to IEEE Transactions on Neural Networks and Learning Systems

Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments

Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt, Tor Arne Johansen

Comments Published in IEEE Transactions on Neural Networks and Learning Systems - Special Issue: Reinforcement Learning Based Control: Data-Efficient and Resilient Methods

Transition Propagation Graph Neural Networks for Temporal Networks

Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen

Comments Published by IEEE Transactions on Neural Networks and Learning Systems, 2022

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily

Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu

Comments accepted by TNNLS 2023

Towards Fairness-Aware Federated Learning

Yuxin Shi, Han Yu, Cyril Leung

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification

Di Wang, Bo Du, Liangpei Zhang

Comments Accepted by IEEE TNNLS

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang

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

Granger Causality for Compressively Sensed Sparse Signals

Aditi Kathpalia, Nithin Nagaraj

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

Si-Guo Fang, Dong Huang, Xiao-Sha Cai, Chang-Dong Wang, Chaobo He, Yong Tang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Experimenting with Normalization Layers in Federated Learning on non-IID scenarios

Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci

Comments 10 pages, Submitted to IEEE Transactions on Neural Networks and Learning Systems

Generation of Paths in a Maze using a Deep Network without Learning

Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite, Florentin Wörgötter

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

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak

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

A Survey on Federated Recommendation Systems

Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui

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

Prototype-Guided Memory Replay for Continual Learning

Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang

Comments Accepted by IEEE TNNLS. This is the pre-print version which has not been fully undergone peer review

Quantum-Inspired Support Vector Machine

Chen Ding, Tian-Yi Bao, He-Liang Huang

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 33(12), 7210-7222 (2022)

Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations

Haifeng Li, Jun Cao, Jiawei Zhu, Qinyao Luo, Silu He, Xuyin Wang

Comments 11 pages 8 figs

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2023

Smoothness Analysis of Adversarial Training

Sekitoshi Kanai, Masanori Yamada, Hiroshi Takahashi, Yuki Yamanaka, Yasutoshi Ida

Comments The latest version of this article is published in IEEE Transactions on Neural Networks and Learning Systems (DOI: 10.1109/TNNLS.2023.3244172). 22 pages, 7 figures

InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation

Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu

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

PreCNet: Next-Frame Video Prediction Based on Predictive Coding

Zdenek Straka, Tomas Svoboda, Matej Hoffmann

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

Spatio-Temporal Point Process for Multiple Object Tracking

Tao Wang, Kean Chen, Weiyao Lin, John See, Zenghui Zhang, Qian Xu, Xia Jia

Comments This manuscript is the accepted version for TNNLS(IEEE Transactions on Neural Networks and Learning Systems)