IEEE TNNLS

Vision-based Learning for Drones: A Survey

Jiaping Xiao, Rangya Zhang, Yuhang Zhang, Mir Feroskhan

机构 * School of Mechanical and Aerospace Engineering, Nanyang Technological University（机械与航空航天工程学院，南洋理工大学） 纠错

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2025

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices

Zhengyi Zhong, Weidong Bao, Ji Wang, Jianguo Chen, Lingjuan Lyu, Wei Yang Bryan Lim

机构 * Laboratory for Big Data and Decision（大数据与决策实验室） ； National University of Defense Technology（国防科技大学） ； School of Software Engineering（软件学院） 纠错

Comments Accepted by TNNLS 2025

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning

Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang

机构 * Department of Computing, The Hong Kong Polytechnic University（计算系，香港理工大学） ； School of Electronic and Information Engineering, South China University of Technology（电子与信息工程学院，华南理工大学） 纠错

Comments Journal revision; Codes are available at \url{https://github.com/YBZh/Point-DAE}

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2025

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives

Xuan Wu, Di Wang, Lijie Wen, Yubin Xiao, Chunguo Wu, Yuesong Wu, Chaoyu Yu, Douglas L. Maskell, You Zhou

机构 * Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin university（教育部符号计算与知识工程重点实验室、计算机科学与技术学院、吉林大学） ； Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly（卓越老龄化主动生活联合研究中心） ； School of Software, Tsinghua University（软件学院、清华大学） ； College of Computing and Data Science, Nanyang Technological University（计算与数据科学学院、南洋理工大学） 纠错

Comments submitted to TNNLS

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu

机构 * School of Computing and Data Science, The University of Hong Kong（计算与数据科学学院，香港大学） ； AI Lab, Deepwise Healthcare（深睿医疗AI实验室） ； Department of Biomedical Informatics, Harvard Medical School（生物医学信息学系，哈佛医学院） ； Department of Computer Science, The University of Hong Kong（计算机科学系，香港大学） ； School of Information Science and Technology, ShanghaiTech University（信息科学与技术学院，上海科技大学） 纠错

Comments Accepted by IEEE TNNLS

A Survey and Evaluation of Adversarial Attacks for Object Detection

Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen

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

Broad Critic Deep Actor Reinforcement Learning for Continuous Control

Shiron Thalagala, Pak Kin Wong, Xiaozheng Wang, Tianang Sun

Comments 11 pages, The final published version is available at: https://ieeexplore.ieee.org/document/10957827 (DOI: 10.1109/TNNLS.2025.3554082)

Journal ref IEEE Transactions on Neural Networks and Learning Systems, pp. 1-8, 2025

Universal Approximation Theorem and error bounds for quantum neural networks and quantum reservoirs

Lukas Gonon, Antoine Jacquier

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2025

Exploring Dynamic Transformer for Efficient Object Tracking

Jiawen Zhu, Xin Chen, Haiwen Diao, Shuai Li, Jun-Yan He, Chenyang Li, Bin Luo, Dong Wang, Huchuan Lu

Comments Accepted by TNNLS

Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles

Sorin Grigorescu, Mihai Zaha

Comments 21 pages, 14 figures, journal paper

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2025

Data Cleansing for GANs

Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara

Comments Accepted for IEEE Transactions on Neural Networks and Learning Systems (TNNLS, 2025). Journal extention of https://openreview.net/forum?id=opHLcXxYTC_

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems

Joseph A. Vincent, Mac Schwager

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems. arXiv admin note: text overlap with arXiv:2011.11609

Vision-based Multi-future Trajectory Prediction: A Survey

Renhao Huang, Hao Xue, Maurice Pagnucco, Flora Salim, Yang Song

Comments Accepted by TNNLS 2025

Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction

Jianan Li, Huan Chen, Wangcai Zhao, Rui Chen, Tingfa Xu

Comments Accepted by TNNLS

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning

Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhengping Che, Chengxiang Yin, Chi Harold Liu, Feiferi Feng, Jian Tang

Comments 19 pages, 4 figures, IEEE Transactions on Neural Networks and Learning Systems (2024)

EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition

Yi Ding, Chengxuan Tong, Shuailei Zhang, Muyun Jiang, Yong Li, Kevin Lim Jun Liang, Cuntai Guan

Comments 12 pages, 9 figures. This work has been accepted by IEEE TNNLS

Situation-based memory in spiking neuron-astrocyte network

Susanna Gordleeva, Yuliya A. Tsybina, Mikhail I. Krivonosov, Ivan Y. Tyukin, Victor B. Kazantsev, Alexey A. Zaikin, Alexander N. Gorban

Comments 38 pages, 11 figures, 4 tables

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 1, pp. 881-895, Jan. 2025

Training-Free Restoration of Pruned Neural Networks

Keonho Lee, Minsoo Kim, Dong-Wan Choi

Comments Under Review in TNNLS since May 2022

Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework

Dongliang Zhou, Haijun Zhang, Kai Yang, Linlin Liu, Han Yan, Xiaofei Xu, Zhao Zhang, Shuicheng Yan

Comments This paper was accepted by IEEE TNNLS

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing

Yuhao Zhou, Yuxin Tian, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv

Comments Accepted by TNNLS. arXiv admin note: text overlap with arXiv:2302.13562

TopoCL: Topological Contrastive Learning for Time Series

Namwoo Kim, Hyungryul Baik, Yoonjin Yoon

Comments Submitted to TNNLS (under review)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning

Zhixiang Shen, Zhao Kang

Comments 14 pages

Journal ref IEEE Transactions on Neural Networks and Learning Systems 2025

Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport Problems

Jianming Huang, Xun Su, Zhongxi Fang, Hiroyuki Kasai

Comments 26 pages, 4 figures, 6 tables

Journal ref IEEE Transactions on Neural Networks and Learning Systems, early access(2024)1-12

Multi-Label Contrastive Learning for Abstract Visual Reasoning

Mikołaj Małkiński, Jacek Mańdziuk

Journal ref IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Issue 2, February 2024, Pages 1941-1953

Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation

Yunzhi Zhuge, Hongyu Gu, Lu Zhang, Jinqing Qi, Huchuan Lu

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

UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

Yixia Li, Rong Xiang, Yanlin Song, Jing Li

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems. Project page is live at https://uni-poll.github.io . Code are available at https://github.com/X1AOX1A/UniPoll

CDC: A Simple Framework for Complex Data Clustering

Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan

Comments Accepted by TNNLS

Decoupled Prioritized Resampling for Offline RL

Yang Yue, Bingyi Kang, Xiao Ma, Qisen Yang, Gao Huang, Shiji Song, Shuicheng Yan

Comments published on IEEE TNNLS

Hyperbolic Binary Neural Network

Jun Chen, Jingyang Xiang, Tianxin Huang, Xiangrui Zhao, Yong Liu

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

Towards Mitigating Architecture Overfitting on Distilled Datasets

Xuyang Zhong, Chen Liu

Comments Accepted by TNNLS