IEEE TNNLS

Learning Smooth Representation for Unsupervised Domain Adaptation

Guanyu Cai, Lianghua He, Mengchu Zhou, Hesham Alhumade, Die Hu

Comments Code is available at https://github.com/CuthbertCai/SRDA. Accepted by IEEE Transactions on Neural Networks and Learning Systems

Lyapunov-based uncertainty-aware safe reinforcement learning

Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Lifelong Mixture of Variational Autoencoders

Fei Ye, Adrian G. Bors

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network

Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang

Comments Submitted to IEEE-TNNLS SI-Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications

Neural Networks as Geometric Chaotic Maps

Ziwei Li, Sai Ravela

Comments in IEEE Transactions on Neural Networks and Learning Systems

Transductive Zero-Shot Hashing for Multilabel Image Retrieval

Qin Zou, Zheng Zhang, Ling Cao, Long Chen, Song Wang

Comments 15 pages

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2020

A Taxonomy for Neural Memory Networks

Ying Ma, Jose Principe

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

A Novel Graph based Trajectory Predictor with Pseudo Oracle

Biao Yang, Guocheng Yan, Pin Wang, Chingyao Chan, Xiang Song, Yang Chen

Comments 17 apges, 8 figures

Journal ref already published by TNNLS 2021

Deep Subdomain Adaptation Network for Image Classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He

Comments published on TNNLS

Multivariate Uncertainty in Deep Learning

Rebecca L. Russell, Christopher Reale

Comments To be published in IEEE Transactions on Neural Networks and Learning Systems

DONet: Dual-Octave Network for Fast MR Image Reconstruction

Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao

Comments arXiv admin note: substantial text overlap with arXiv:2104.05345

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

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

Jingliang Duan, Yang Guan, Shengbo Eben Li, Yangang Ren, Bo Cheng

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

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach

Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu

Comments Accepted by IEEE TNNLS 2021

Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation

Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo Xu

Comments Final Version. Accepted by IEEE Transactions on Neural Networks and Learning Systems

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi

Comments Paper accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Article DOI: 10.1109/TNNLS.2021.3083152

Network Pruning using Adaptive Exemplar Filters

Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye

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

Filter Sketch for Network Pruning

Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji

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

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang

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

Drill the Cork of Information Bottleneck by Inputting the Most Important Data

Xinyu Peng, Jiawei Zhang, Fei-Yue Wang, Li Li

Comments 11 pages, to be published in IEEE Transactions on Neural Networks and Learning Systems

FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval

Xin Liu, Xingzhi Wang, Yiu-ming Cheung

Comments 16 pages, 7 figures

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

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

Comments 15 pages, 5 figures, 6 tables. Published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

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

Network Together: Node Classification via Cross network Deep Network Embedding

Xiao Shen, Quanyu Dai, Sitong Mao, Fu-lai Chung, Kup-Sze Choi

Comments Codes and Datasets are available at https://github.com/shenxiaocam/CDNE. Please cite our paper as: X. Shen, Q. Dai, S. Mao, F. Chung and K. Choi, "Network Together: Node Classification via Cross-Network Deep Network Embedding," in IEEE Transactions on Neural Networks and Learning Systems, early access, Jun. 4, 2020

Journal ref IEEE Trans. Neural. Netw. Learn. Syst., vol. 32, no. 5, pp. 1935-1948, 2021

q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators

Frank Nielsen, Ke Sun

Comments 12 pages, 5 figures, 1 table

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2020)

CSTNet: A Dual-Branch Convolutional Network for Imaging of Reactive Flows using Chemical Species Tomography

Yunfan Jiang, Jingjing Si, Rui Zhang, Godwin Enemali, Bin Zhou, Hugh McCann, Chang Liu

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu

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

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition

Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang

Comments To appear in IEEE Transactions ON Neural Networks and Learning Systems. We prove that dynamically adapting network architectures tailored for each domain task along with weight finetuning benefits in both efficiency and effectiveness, compared to the existing image recognition pipeline that only tunes the weights regardless of the architecture

Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach

Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic

Comments Accepted at IEEE Transactions on Neural Networks and Learning Systems

Regular Polytope Networks

Federico Pernici, Matteo Bruni, Claudio Baecchi, Alberto Del Bimbo

Comments arXiv admin note: substantial text overlap with arXiv:1902.10441

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

Multi-Graph Transformer for Free-Hand Sketch Recognition

Peng Xu, Chaitanya K. Joshi, Xavier Bresson

Comments This paper has been accepted by IEEE TNNLS

Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories

Wei Zhang, Xin Lai, Jianyong Wang

Comments 12 pages, Published in IEEE TNNLS (Key source code added)