Neural Networks, Volume 169

Volume 169, January 2024

Learning Systems

• 
  Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin:
  Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. 1-10
• 
  Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
  Graph-based methods coupled with specific distributional distances for adversarial attack detection. 11-19

Engineering and Applications

• 
  Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, Yilong Zang:
  Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning. 20-31

Mathematical and Computational Analysis

• 
  Caicai Zheng, Cheng Hu, Juan Yu, Shiping Wen:
  Saturation function-based continuous control on fixed-time synchronization of competitive neural networks. 32-43

Learning Systems

• 
  Haoran Jiang, Zhihao Sun, Yingjie Tian:
  ComCo: Complementary supervised contrastive learning for complementary label learning. 44-56

Reviews

• 
  Hayato Idei, Yuichi Yamashita:
  Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models. 57-74

Learning Systems

• 
  Shaohui Wang, Youjia Shao, Na Tian, Wencang Zhao:
  Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics. 75-82

Mathematical and Computational Analysis

• 
  Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang:
  Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization. 83-91

Learning Systems

• 
  Xiaofang Meng, Zhouhong Li, Jinde Cao:
  Almost periodic quasi-projective synchronization of delayed fractional-order quaternion-valued neural networks. 92-107

Engineering and Applications

• 
  Deyang Zhou, Lu Xu, Tianlei Wang, Shaonong Wei, Feng Gao, Xiaoping Lai, Jiuwen Cao:
  M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network. 108-119
• 
  Wenyuan Ying, Tianyang Dong, Jing Fan:
  An efficient multi-scale learning method for image super-resolution networks. 120-133
• 
  Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, Chen Wang, Wenzhu Wang, Xue Li:
  Adaptive class augmented prototype network for few-shot relation extraction. 134-142

Neuroscience

• 
  Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, Shenqiang Wang, Pengda Wang:
  BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. 143-153

Learning Systems

• 
  Yao Gou, Min Li, Yusen Zhang, Zhuzhen He, Yujie He:
  Few-shot image generation with reverse contrastive learning. 154-164
• 
  Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang:
  Deterministic learning-based neural identification and knowledge fusion. 165-180

Mathematical and Computational Analysis

• 
  Zicong Xia, Yang Liu, Jun Wang:
  An event-triggered collaborative neurodynamic approach to distributed global optimization. 181-190

Learning Systems

• 
  Xiaoquan Ke, Man-Wai Mak, Helen M. Meng:
  Automatic selection of spoken language biomarkers for dementia detection. 191-204

Cognitive Science

• 
  Drazen Domijan, Mateja Maric:
  An interactive cortical architecture for perceptual organization by accentuation. 205-225

Mathematical and Computational Analysis

• 
  Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, Yuichiro Wada, Kosaku Takanashi, Tomonori Yamada, Takafumi Kanamori:
  Denoising cosine similarity: A theory-driven approach for efficient representation learning. 226-241

Learning Systems

• 
  Vladimir Cherkassky, Eng Hock Lee:
  To understand double descent, we need to understand VC theory. 242-256

Mathematical and Computational Analysis

• 
  Tran Anh Tuan, Long Phi Hoang, Dung D. Le, Tran Ngoc Thang:
  A framework for controllable Pareto front learning with completed scalarization functions and its applications. 257-273

Learning Systems

• 
  Hong Peng, Xin Xiong, Min Wu, Jun Wang, Qian Yang, David Orellana-Martín, Mario J. Pérez-Jiménez:
  Reservoir computing models based on spiking neural P systems for time series classification. 274-281

Cognitive Science

• 
  Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, Hyun-Woo Kim, Seong-Whan Lee:
  Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos. 282-292

Engineering and Applications

• 
  Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin:
  Heterogeneous context interaction network for vehicle re-identification. 293-306

Reviews

• 
  Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari:
  A survey on few-shot class-incremental learning. 307-324

Learning Systems

• 
  Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu:
  Boosting fine-tuning via Conditional Online Knowledge Transfer. 325-333
• 
  Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Lei Chen, Weiping Qin, Youquan Wang:
  Balanced influence maximization in social networks based on deep reinforcement learning. 334-351
• 
  Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang:
  Multi-scale feature selection network for lightweight image super-resolution. 352-364

Engineering and Applications

• 
  Shiyi Kong, Jun Ai, Minyan Lu, Yiang Gong:
  GRAND: GAN-based software runtime anomaly detection method using trace information. 365-377

Learning Systems

• 
  Yangyang Xu, Zengmao Wang, Xiaoping Zhang:
  Leveraging spatial residual attention and temporal Markov networks for video action understanding. 378-387

Engineering and Applications

• 
  Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee:
  Temporal shuffling for defending deep action recognition models against adversarial attacks. 388-397

Neuroscience

• 
  Zhongqi Lin, Zengwei Zheng:
  FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. 398-416

Learning Systems

• 
  Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen:
  Discriminative multimodal learning via conditional priors in generative models. 417-430
• 
  Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
  Nonparametric tensor ring decomposition with scalable amortized inference. 431-441

Engineering and Applications

• 
  Ke Chen, Ying Weng, Akram Hosseini, Tom Dening, Guokun Zuo, Yiming Zhang:
  A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis. 442-452

Learning Systems

• 
  Hui Wu, Yuting He, Yidong Chen, Yu Bai, Xiaodong Shi:
  Improving few-shot relation extraction through semantics-guided learning. 453-461

Mathematical and Computational Analysis

• 
  Philipp Christian Petersen, Anna Sepliarskaia:
  VC dimensions of group convolutional neural networks. 462-474

Learning Systems

• 
  Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang:
  Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning. 475-484

Neuroscience

• 
  Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, Tingwen Huang, Leszek Rutkowski:
  Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel. 485-495

Learning Systems

• 
  Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang:
  Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network. 496-505

Mathematical and Computational Analysis

• 
  Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
  AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. 506-519
• 
  Hongliang Liu, Jun Cheng, Jinde Cao, Iyad A. Katib:
  Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters. 520-531

Learning Systems

• 
  Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning:
  Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification. 532-541
• 
  Meiling Li, Yangfu Zhu, Shicheng Li, Bin Wu:
  HG-PerCon: Cross-view contrastive learning for personality prediction. 542-554
• 
  Hamdan Abdellatef, Lina J. Karam:
  Reduced-complexity Convolutional Neural Network in the compressed domain. 555-571
• 
  Florian Bacho, Dominique F. Chu:
  Low-variance Forward Gradients using Direct Feedback Alignment and momentum. 572-583
• 
  Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
  Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. 584-596
• 
  Xiaojian Ding, Yi Li, Shilin Chen:
  Maximum margin and global criterion based-recursive feature selection. 597-606

Mathematical and Computational Analysis

• 
  Fuqiang Wu, Hao Meng, Jun Ma:
  Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor. 607-621

Erratum

• 
  Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
  Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. 622

Learning Systems

• 
  Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding:
  AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. 623-636

Reviews

• 
  Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, Muhammad Tanveer, Rajashree Nayak:
  A survey on cancer detection via convolutional neural networks: Current challenges and future directions. 637-659

Engineering and Applications

• 
  Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
  Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. 660-672

Mathematical and Computational Analysis

• 
  Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, Nadezhda Gorbacheva, Jinde Cao:
  Neurodynamic approaches for multi-agent distributed optimization. 673-684

Engineering and Applications

• 
  Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, Zifan Lin, Kemal Polat, Fayadh Alenezi:
  Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism. 685-697
• 
  Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt:
  A benchmarking protocol for SAR colorization: From regression to deep learning approaches. 698-712

Learning Systems

• 
  Clara I. López-González, Esther Gascó, Fredy Barrientos-Espillco, Eva Besada-Portas, Gonzalo Pajares:
  Filter pruning for convolutional neural networks in semantic image segmentation. 713-732

Mathematical and Computational Analysis

• 
  Jianping Zhou, Xiaofeng Ma, Zhilian Yan, Sabri Arik:
  Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design. 733-743

Erratum

• 
  Miaohui Zhang, Kaifang Li, Jianxin Ma, Xile Wang:
  Asymmetric double networks mutual teaching for unsupervised person Re-identification. 744-755

Learning Systems

• 
  Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang:
  Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. 756-763
• 
  Yurou Chen, Fengyi Zhang, Zhiyong Liu:
  Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms. 764-777
• 
  Juntong Yun, Du Jiang, Li Huang, Bo Tao, Shangchun Liao, Ying Liu, Xin Liu, Gongfa Li, Disi Chen, Baojia Chen:
  Grasping detection of dual manipulators based on Markov decision process with neural network. 778-792

Editorial

• 
  Taro Toyoizumi, DeLiang Wang:
  A surge of submissions. 793-794