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ORCIDIEEE Transactions on Emerging Topics in Computational Intelligence, Volume 9
Volume 9, Number 1, February 2025
- Geng Han
, Jiachen Zhao, Lele Zhang, Fang Deng:
A Survey of Human-Object Interaction Detection With Deep Learning. 3-26 - Asit Barman, Swalpa Kumar Roy, Swagatam Das, Paramartha Dutta:
Exploring the Horizons of Meta-Learning in Neural Networks: A Survey of the State-of-the-Art. 27-42 - Hu Peng, Zhongtian Luo, Tian Fang, Qingfu Zhang:
Micro Many-Objective Evolutionary Algorithm With Knowledge Transfer. 43-56 - Hai-Nan Wei, Guo-Qiang Zeng, Kang-Di Lu, Guang-Gang Geng, Jian Weng:
MoAR-CNN: Multi-Objective Adversarially Robust Convolutional Neural Network for SAR Image Classification. 57-74 - Weiwei Guang, Xin Wang, Lihua Tan, Jian Sun, Tingwen Huang:
Prescribed-Time Optimal Consensus for Switched Stochastic Multiagent Systems: Reinforcement Learning Strategy. 75-86 - Haiqiao Wu, Dapeng Oliver Wu, Peng Gong:
SR-ABR: Super Resolution Integrated ABR Algorithm for Cloud-Based Video Streaming. 87-98 - Tianyi Qin, Bo Peng, Jianjun Lei, Jiahui Song, Liying Xu, Qingming Huang:
3D-IMMC: Incomplete Multi-Modal 3D Shape Clustering via Cross Mapping and Dual Adaptive Fusion. 99-108 - Shuijia Li, Rui Wang, Wenyin Gong, Zuowen Liao, Ling Wang:
A Co-Evolutionary Dual Niching Differential Evolution Algorithm for Nonlinear Equation Systems Optimization. 109-118 - Xiaoyong Tang, Juan Zhang, Ronghui Cao, Wenzheng Liu:
A Collaborative Multi-Component Optimization Model Based on Pattern Sequence Similarity for Electricity Demand Prediction. 119-130 - Chao Wang, Mengmeng Cao, Hao Jiang, Xiaoshu Xiang, Xing-yi Zhang:
A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems. 131-144 - Lei Zhang, Chaofan Qin, Haipeng Yang, Zishan Xiong, Renzhi Cao, Fan Cheng:
A Diversified Population Migration-Based Multiobjective Evolutionary Algorithm for Dynamic Community Detection. 145-159 - Wenjing Li, Can Chen, Junfei Qiao:
A Hub-Based Self-Organizing Algorithm for Feedforward Small-World Neural Network. 160-175 - Jingcan Zhu, Jie Jin, Chaoyang Chen, Lianghong Wu, Ming Lu, Aijia Ouyang:
A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography. 176-191 - Shuai Zhao, Jie Tian, Jie Fu, Jie Chen, Jinming Wen:
FeaMix: Feature Mix With Memory Batch Based on Self-Consistency Learning for Code Generation and Code Translation. 192-201 - Jing Xu, Wentao Shi, Pan Gao, Qizhu Li, Zhengwei Wang:
MUSTER: A Multi-Scale Transformer-Based Decoder for Semantic Segmentation. 202-212 - Weihua Xu, Qinyuan Bu:
Feature Selection Using Generalized Multi-Granulation Dominance Neighborhood Rough Set Based on Weight Partition. 213-227 - Hongzong Li, Jun Wang:
A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization. 228-239 - Nianzeng Yuan, Junhuai Li, Bangyong Sun:
Global Cross-Attention Network for Single-Sensor Multispectral Imaging. 240-252 - Hai Wang, Shilin Zhu, Long Chen, Yicheng Li, Yingfeng Cai:
OccludedInst: An Efficient Instance Segmentation Network for Automatic Driving Occlusion Scenes. 253-270 - Mayank Lovanshi, Vivek Tiwari, Rajesh Ingle, Swati Jain:
3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model. 271-280 - Esther Rodrigo Bonet, Nikos Deligiannis:
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders. 281-291 - Huajin Tang, Pengjie Gu, Jayawan H. B. Wijekoon, MHD Anas Alsakkal, Ziming Wang, Jiangrong Shen, Rui Yan, Gang Pan:
Neuromorphic Auditory Perception by Neural Spiketrum. 292-303 - Qingling Zhu, Yaojian Xu, Qiuzhen Lin, Zhong Ming, Kay Chen Tan:
Clustering-Based Short-Term Wind Speed Interval Prediction With Multi-Objective Ensemble Learning. 304-317 - Xiaofeng Liu, Zhihong Liu, Jie Li, Xiang Zhang:
Semi-Supervised Contrastive Learning for Time Series Classification in Healthcare. 318-331 - Fei Li, Yujie Yang, Yuhao Liu, Yuanchao Liu, Muyun Qian:
Bi-Level Model Management Strategy for Solving Expensive Multi-Objective Optimization Problems. 332-346 - Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong:
Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem. 347-364 - Chuangquan Chen, Zhencheng Li, Kit Ian Kou, Jie Du, Chen Li, Hongtao Wang, Chi-Man Vong:
Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition. 365-380 - Aparajita Khan, Pradipta Maji:
Graph Learning With Riemannian Optimization for Multi-View Integrative Clustering. 381-393 - Salah-ud-din Khokhar, Akif Nadeem, Arslan A. Rizvi, Muhammad Yasir Noor:
Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System. 394-405 - Fei Qi, Junyu Li, Yue Zhang, Weitian Huang, Bin Hu, Hongmin Cai:
Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition. 406-418 - Gavin Black, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan:
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models. 419-430 - Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Camouflage Is All You Need: Evaluating and Enhancing Transformer Models Robustness Against Camouflage Adversarial Attacks. 431-443 - Sibo Cheng, Hector Chassagnon, Matthew Kasoar, Yike Guo, Rossella Arcucci:
Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale. 444-454 - Qiangqiang Shen, Xuanqi Zhang, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen:
Dual Completion Learning for Incomplete Multi-View Clustering. 455-467 - Zhen Hong, Minjie Chen, Rui Wang, Mingyuan Yan, Dehua Zheng, Changting Lin, Jie Su, Meng Han:
Active Learning-Based Backtracking Attack Against Source Location Privacy of Cyber-Physical System. 468-479 - Huangxu Sheng, Hai-Lin Liu, Yutao Lai, Shaoda Zeng, Lei Chen:
Hierarchical Encoding Method for Retinal Segmentation Evolutionary Architecture Search. 480-493 - Yueying Luo, Wenbo Liu, Kangjian He, Dan Xu, Hongzhen Shi, Hao Zhang:
CycleFusion: Automatic Annotation and Graph-to-Graph Transaction Based Cycle-Consistent Adversarial Network for Infrared and Visible Image Fusion. 494-508 - Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao:
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. 509-521 - Yantao Li, Chao Fan, Huafeng Qin, Shaojiang Deng, Mounim A. El-Yacoubi, Gang Zhou:
Deep Reinforcement Learning-Based Feature Extraction and Encoding for Finger-Vein Verification. 522-536 - Mengdan Liang, Junmin Li:
Global Bipartite Exact Consensus of Unknown Nonlinear Multi-Agent Systems With Switching Topologies: Iterative Learning Approach. 537-551 - Bing Liu, Di Yuan, Xiaofang Li:
APR-Net Tracker: Attention Pyramidal Residual Network for Visual Object Tracking. 552-564 - Jin Huang, Ming Xiao:
Symmetric Regularized Sequential Latent Variable Models With Adversarial Neural Networks. 565-575 - Jeffrey J. Dale, James M. Keller, Aquila Galusha:
StreamSoNGv2: Online Classification of Data Streams Using Growing Neural Gas. 576-589 - Lin Sun, Qifeng Zhang, Weiping Ding, Tianxiang Wang, Jiucheng Xu:
FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection With Fuzzy Mutual Information. 590-606 - Xiulin Zheng, Pei-Pei Li, Xindong Wu:
An Automatic Paper-Reviewer Recommendation Algorithm Based on Depth and Breadth. 607-616 - Jingjing Liu, Manlong Feng, Xianchao Xiu, Wanquan Liu, Xiaoyang Zeng:
Efficient and Robust Sparse Linear Discriminant Analysis for Data Classification. 617-629 - Tianxu Wu, Shuo Ye, Shuhuang Chen, Qinmu Peng, Xinge You:
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions. 630-640 - Xin Luo, Gaosheng Liu, Zhi Lu, Kun Li, Jing-Yu Yang:
Efficient Low-Light Light Field Enhancement With Progressive Feature Interaction. 641-653 - Ya Li, Shaojun Ji, Qinghui Hong:
Circuit Implementation of Memristive Fuzzy Logic for Blood Pressure Grading Quantification. 654-667 - Junpeng Li, Shuying Huang, Changchun Hua, Yana Yang:
Learning From Pairwise Confidence Comparisons and Unlabeled Data. 668-680 - Jiajun Wen, Xi Chen, Heng Kong, Junhong Zhang, Zhihui Lai, Linlin Shen:
Subspace Sequentially Iterative Leaning for Semi-Supervised SVM. 681-694 - Ye Wang, Yi Zhu, Yun Li, Jipeng Qiang, Yunhao Yuan, Xindong Wu:
Clickbait Detection via Prompt-Tuning With Titles Only. 695-705 - Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind:
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification. 706-716 - Jiaqiang Jiang, Haohui Ding, Haixia Wang, Rui Yan:
Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. 717-728 - Shengwen Li, Suzhen Huang, Xuyang Cheng, Renyao Chen, Yi Zhou, Shunping Zhou, Hong Yao, Junfang Gong:
Transfer Learning-Based Region Statistical Data Completion via Double Graphs. 729-739 - Linhao Zhang, Li Jin, Guangluan Xu, Xiaoyu Li, Xian Sun:
COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport. 740-756 - Joonho Seon, Seongwoo Lee, Young Ghyu Sun, Soo Hyun Kim, Dong In Kim, Jin Young Kim:
Least Information Spectral GAN With Time-Series Data Augmentation for Industrial IoT. 757-769 - Wensheng Li, Jing Zhang, Li Zhuo:
Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios. 770-784 - Lien-Wu Chen, Hao-Wei Huang, Yi-Ju Chen, Ming-Fong Tsai:
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization. 785-797 - Chunming Xiao, Yonghui Huang, Haonan Huang, Qibin Zhao, Guoxu Zhou:
Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering. 798-809 - Yi Zhu, Hui Shen, Yun Li, Jipeng Qiang, Yun-Hao Yuan, Xindong Wu:
Convert Cross-Domain Classification Into Few-Shot Learning: A Unified Prompt-Tuning Framework for Unsupervised Domain Adaptation. 810-821 - Heng Zhang, Lifeng Zhu:
Differentiable Collaborative Patches for Neural Scene Representations. 822-831 - Mei Zhong, Jinde Cao, Heng Liu:
Adaptive Neural Network Optimal Backstepping Control of Strict Feedback Nonlinear Systems via Reinforcement Learning. 832-847 - Daohan Yu, Liqing Qiu:
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models. 848-860 - Junjian Li, Honglong Chen, Zhe Li, Anqing Zhang, Xiaomeng Wang, Xingang Wang, Feng Xia:
Generative Adversarial Network Based Image-Scaling Attack and Defense Modeling. 861-873 - Yifei Sun, Zhuo Liu, Yaochu Jin, Xin Sun, Yifei Cao, Jie Yang:
Global and Cluster Structural Balance via a Priority Strategy Based Memetic Algorithm. 874-888 - Xiaofeng Zou, Cen Chen, Luochuan Zhang, Shengyang Li, Joey Tianyi Zhou, Wei Wei, Kenli Li:
Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks. 889-903 - Jian Zhu, Xiaoye Chen, Wensheng Gan, Zefeng Chen, Philip S. Yu:
Targeted Mining Precise-Positioning Episode Rules. 904-917 - Haibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding, Zhi-Hui Zhan:
Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection From Chest X-Ray Images. 918-932 - Tian-Yu Xiang, Xiao-Hu Zhou, Xiao-Liang Xie, Shiqi Liu, Hong-Jun Yang, Zhen-Qiu Feng, Mei-Jiang Gui, Hao Li, De-Xing Huang, Xiu-Ling Liu, Zeng-Guang Hou:
Learning EEG Motor Characteristics via Temporal-Spatial Representations. 933-945 - Lin Guo, Xiujuan Lei, Lian Liu, Ming Chen, Yi Pan:
DualC: Drug-Drug Interaction Prediction Based on Dual Latent Feature Extractions. 946-960 - Behnam Zeinali, Di Zhuang, J. Morris Chang:
ESAI: Efficient Split Artificial Intelligence via Early Exiting Using Neural Architecture Search. 961-971 - Ting-En Chao, Yu Huang, Hao Dai, Gary G. Yen, Vincent S. Tseng:
Early Time Series Anomaly Prediction With Multi-Objective Optimization. 972-987 - Ngoc Duy Pham, Khoa Tran Phan, Naveen Chilamkurti:
Enhancing Accuracy-Privacy Trade-Off in Differentially Private Split Learning. 988-1000 - Gan Ruan, Leandro L. Minku, Zhao Xu, Xin Yao:
Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network. 1001-1018 - Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. 1019-1033 - Hongfeng You, Xiaobing Chen, Kun Yu, Guangbo Fu, Fei Mao, Xin Ning, Xiao Bai, Weiwei Cai:
Feature Autonomous Screening and Sequence Integration Network for Medical Image Classification. 1034-1048 - Jianfeng Lu, Hangjian Zhang, Pan Zhou, Xiong Wang, Chen Wang, Dapeng Oliver Wu:
FedLaw: Value-Aware Federated Learning With Individual Fairness and Coalition Stability. 1049-1062 - Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi:
From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media. 1063-1077 - Zhiye Bai, Shenggang Li, Heng Liu:
Fuzzy Composite Learning Control of Uncertain Fractional-Order Nonlinear Systems Using Disturbance Observer. 1078-1090
Volume 9, Number 2, April 2025
- Qing Guo, Ruofei Wang, Rui Huang, Renjie Wan, Shuifa Sun, Yuxiang Zhang:
IDET: Iterative Difference-Enhanced Transformers for High-Quality Change Detection. 1093-1106 - Dongyang Zhang, Shuang Liang, Tao He, Jie Shao, Ke Qin:
CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. 1107-1118 - Zhenghao Feng, Lu Wen, Jianghong Xiao, Yuanyuan Xu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Diffusion-Based Radiotherapy Dose Prediction Guided by Inter-Slice Aware Structure Encoding. 1119-1129 - Jian Cheng, Tian Zhang, Shuang Zhang, Huimin Ren, Guo Yu, Xiliang Zhang, Shangce Gao, Lianbo Ma:
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction. 1130-1142 - Jun Zhao, Yongfeng Lv, Zhangu Wang, Ziliang Zhao:
Adaptive Q-Learning Based Model-Free $H_{\infty }$ Control of Continuous-Time Nonlinear Systems: Theory and Application. 1143-1152 - Priyobrata Mondal, Faizanuddin Ansari, Swagatam Das:
CCO: A Cluster Core-Based Oversampling Technique for Improved Class-Imbalanced Learning. 1153-1165 - Anirban Lekharu, Avik Samanta, Arijit Sur, Moumita Patra:
Content-Aware Caching at the Mobile Edge Network Using Federated Learning. 1166-1176 - Meng Ma, Hongping Gan:
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction. 1177-1188 - Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang:
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer. 1189-1201 - Fan Li, Hang Zhou, Huafeng Li, Yafei Zhang, Zhengtao Yu:
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation. 1202-1215 - Adyasha Sahu, Pradeep Kumar Das, Indraneel Paul, Sukadev Meher:
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours Using Different Modalities. 1216-1225 - Emrah Hancer, Bing Xue, Mengjie Zhang:
A Many-Objective Diversity-Guided Differential Evolution Algorithm for Multi-Label Feature Selection in High-Dimensional Datasets. 1226-1237 - Kesheng Chen, Wenjian Luo, Qi Zhou, Yujiang liu, Peilan Xu, Yuhui Shi:
A Novel Immune Algorithm for Multiparty Multiobjective Optimization. 1238-1252 - Zewei Liu, Chunqiang Hu, Tao Xiang, Pengfei Hu, Xingwang Li, Jiguo Yu:
A Novel Sparrow Search Scheme Based on Enhanced Differential Evolution Operator. 1253-1268 - Pritam Paral, Saibal Ghosh, Sankar K. Pal, Amitava Chatterjee:
Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images. 1269-1280 - Rahul Sharma, Tripti Goel, M. Tanveer, Mujahed Aldhaifallah:
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine. 1281-1291 - Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao:
MENTOR: Guiding Hierarchical Reinforcement Learning With Human Feedback and Dynamic Distance Constraint. 1292-1306 - Yanghe Zou, Peilan Xu, Hao Dai, Heng Song, Wenjian Luo:
Swarm Optimization With Intra- and Inter-Hierarchical Competition for Large-Scale Berth Allocation and Crane Assignment. 1307-1321 - Yufeng Feng, Weiguo Sheng, Zidong Wang, Gang Xiao, Qi Li, Li Li, Zuling Wang:
Memetic Differential Evolution With Adaptive Niching Selection and Diversity-Driven Strategies for Multimodal Optimization. 1322-1339 - Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He, Jun Lin, Yang Zeng:
Class Discriminative Knowledge Distillation. 1340-1351 - Xiaoxu Jiang, Qingda Chen, Jinliang Ding, Xingyi Zhang:
Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions. 1352-1366 - Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. 1367-1378 - Di Wu, Yuanpeng Hu, Kechen Liu, Jing Li, Xianmin Wang, Song Deng, Nenggan Zheng, Xin Luo:
An Outlier-Resilient Autoencoder for Representing High-Dimensional and Incomplete Data. 1379-1391 - Xiaohua Wu, Lin Li, Xiaohui Tao, Jingling Yuan, Haoran Xie:
Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation. 1392-1405 - Huangke Chen, Guohua Wu, Rui Wang, Witold Pedrycz:
Population Stream-Driven Scalable Evolutionary Many-Objective Optimization. 1406-1417 - Junpeng Li, Jiahe Qin, Changchun Hua, Yana Yang:
Binary Classification From $M$-Tuple Similarity-Confidence Data. 1418-1427 - Qiaomei Han, Xianbin Wang, Weiming Shen, Yanjun Shi:
AdaFML: Adaptive Federated Meta Learning With Multi-Objectives and Context-Awareness in Dynamic Heterogeneous Networks. 1428-1440 - Guoquan Huang, Guanyu Lin, Li Ning, Yicheng Xu, Chee Peng Lim, Yong Zhang:
Trustworthy Federated Fine-Tuning for Industrial Chains Demand Forecasting. 1441-1453 - Jiayu Ye, Dan Pan, An Zeng, Yiqun Zhang, Qiuping Chen, Yang Liu:
MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease. 1454-1468 - Guoxing Wen, Yanfen Song, Zijun Li, Bin Li:
Optimized Leader-Follower Consensus Control of Multi-QUAV Attitude System Using Reinforcement Learning and Backstepping. 1469-1479 - Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns. 1480-1489 - Haonan Zheng, Xinyang Deng, Wen Jiang:
A Tunable Framework for Joint Trade-Off Between Accuracy and Multi-Norm Robustness. 1490-1501 - Tuhinangshu Gangopadhyay, Tanushree Meena, Debojyoti Pal, Sudipta Roy:
A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring. 1502-1513 - Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng:
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive. 1514-1526 - Ming-Long Wu, De-Rong Huang, Jhih-Shan Cheng:
Deep Learning Quantitative Susceptibility Mapping With Reduced Training Time Based on Local Field Transformation. 1527-1538 - Hai Wang, Guirong Zhang, Long Chen, Yicheng Li, Tong Luo, Yingfeng Cai:
ME-Seg&DLS-Net: A Dataset and a Network for Autonomous Driving Based on Multi-Element Semantic Segmentation of Pavement. 1539-1555 - Xun Zhou, Songbai Liu, A. Kai Qin, Kay Chen Tan:
Evolutionary Neural Architecture Search for Transferable Networks. 1556-1568 - Zhenhua Shi, Shuang Huang, Lihua Wu, Qiang Zhang, Xiangpeng Zhang, Yahao Cao, Yuanbao Chen, Yunfei Lv:
TSK Fuzzy System Optimization for High-Dimensional Regression Problems. 1569-1580 - Hong-Bo Zhang, Wei-Xiang Pan, Ji-Xiang Du, Qing Lei, Yan Chen, Jing-Hua Liu:
Adversarial Attention Networks for Early Action Recognition. 1581-1594 - Liang Ran, Huaqing Li, Lifeng Zheng, Jun Li:
Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms. 1595-1609 - Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Bingbing Jiang, Kui Yu, Xindong Wu:
Causal Feature Selection With Imbalanced Data. 1610-1626 - Yisong Jia, Huihui Pan, Jue Wang, Weichao Sun:
CSP-Lite: Real-Time and Efficient Keypoint-Based Pedestrian Detection. 1627-1637 - Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara:
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis. 1638-1649 - Jin Yu, Ya Zhang, Changyin Sun:
Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games. 1650-1658 - Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Multi-Medium Image Enhancement With Attentive Deformable Transformers. 1659-1672 - Jingchao Wang, Guoheng Huang, Guo Zhong, Xiaochen Yuan, Chi-Man Pun, Jinxun Wang, Jianqi Liu:
A Novel Hypercomplex Graph Convolution Refining Mechanism. 1673-1687 - Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai:
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. 1688-1698 - Chaoxu Mu, Zhuo Tang, Ke Wang:
Optimal Cooperative Control of Multi-Agent Systems Through Event-Triggered Model-Free Reinforcement Learning. 1699-1711 - Kaixuan Li, Shibo Jiang, Rui Zhang, Jianfeng Qiu, Lei Zhang, Lixia Yang, Fan Cheng:
SMEM: A Subspace Merging Based Evolutionary Method for High-Dimensional Feature Selection. 1712-1727 - Zixiao Yu, Lele Fu, Yongyong Chen, Zhiling Cai, Guoqing Chao:
Hyper-Laplacian Regularized Concept Factorization in Low-Rank Tensor Space for Multi-View Clustering. 1728-1742 - Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zhe-Rui Yang, Xiao-Dong Liao, Chang-Dong Wang, Min Chen:
MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation. 1743-1755 - Qi Liu, Jie Wei, Thomas Penzel, Maarten De Vos, Yuan Zhang, Zhiyi Huang, Mikhail Poluektov, Yulan Zhu, Chenyu Li:
ActiveSleepLearner: Less Annotation Budget for Better Large-Scale Sleep Staging. 1756-1765 - Zheng Zhou, Yongyong Chen, Yicong Zhou:
Simultaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dictionary for Color Image Denoising. 1766-1779 - Xinyao Liu, Junchang Xin, Qi Shen, Chuangang Li, Zhihong Huang, Zhiqiong Wang:
End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation. 1780-1794 - Qi Lai, Chi-Man Vong, Sai-Qi Shi, C. L. Philip Chen:
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information. 1795-1804 - Tian Zhang, Jian Cheng, Lijie Miao, Hanning Chen, Qing Li, Qiang He, Jianhui Lyu, Lianbo Ma:
Multi-Hop Reasoning With Relation Based Node Quality Evaluation for Sparse Medical Knowledge Graph. 1805-1816 - Hangjun Che, Chenglu Li, Man-Fai Leung, Deqiang Ouyang, Xiangguang Dai, Shiping Wen:
Robust Hypergraph Regularized Deep Non-Negative Matrix Factorization for Multi-View Clustering. 1817-1829 - Liping Sun, Fan Huang, Xiaoyao Zheng, Liangmin Guo, Qingying Yu, Zhenghua Chen, Yonglong Luo:
Density Peaks Clustering Based on Label Propagation and K-Mutual-Nearest Neighbors. 1830-1842 - Zhe Peng, Zhifeng Lu, Xiao Mao, Feng Ye, Kuihua Huang, Guohua Wu, Ling Wang:
Multi-Ship Dynamic Weapon-Target Assignment via Cooperative Distributional Reinforcement Learning With Dynamic Reward. 1843-1859 - Chiuzu Chilumbu, Qi-Xian Huang, Hung-Min Sun:
Utilizing a DenseSwin Transformer Model for the Classification of Maize Plant Pathology in Early and Late Growth Stages: A Case Study of Its Utilization Among Zambian Farmers. 1860-1872 - Kesheng Zhang, Wen Yu, Tianyou Chai:
Dual-Scale Attributed Graph Transformer for Extracting Spatial-Temporal Features With Applications in Quality Index Prediction. 1873-1884 - Lianfang Ma, Jianhui Chen, Jiajin Huang, Yiyu Yao, Ning Zhong:
Event Causal Relation Extraction in Brain Connectomics: A Model Utilizing Weighted Joint Constrained Learning. 1885-1896 - Junzhe Zhang, Gexin Liu, Junteng Zhang, Dandan Ding, Zhan Ma:
DeepPCC: Learned Lossy Point Cloud Compression. 1897-1909 - Chunyan Diao, Dafang Zhang, Wei Liang, Man Jiang, Kuanching Li:
A Novel Attention-Based Dynamic Multi-Graph Spatial-Temporal Graph Neural Network Model for Traffic Prediction. 1910-1923 - Sen Yang, Zhenmin Wang, Wenlong Song, Changqun Yang:
The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++. 1924-1933 - Amit Kumar Bhuyan, Hrishikesh Dutta, Subir Biswas:
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning. 1934-1946 - Meijun Fu, Xiaomin Wang, Jun Wang, Zhang Yi:
Generative Probabilistic Meta-Learning for Few-Shot Image Classification. 1947-1960 - Peixuan Ge, Tao Yan, Pak Kin Wong, Zheng Li, In Neng Chan, Hon Ho Yu, Chon In Chan, Liang Yao, Ying Hu, Shan Gao:
Simultaneous Segmentation and Classification of Esophageal Lesions Using Attention Gating Pyramid Vision Transformer. 1961-1975 - Shaoqi Sun, Hui Liu, Kele Xu, Bo Ding:
Leaders and Collaborators: Addressing Sparse Reward Challenges in Multi-Agent Reinforcement Learning. 1976-1989 - Chuyuan Wei, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang, Mohsen Guizani:
Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation. 1990-2000 - Arpita Sarkar, Malay Bhattacharyya, Utpal Garain, Saibal Kumar Pal, Shantanu, Sanghamitra Bandyopadhyay, Nikhil R. Pal:
Leveraging Synergy to Design Neural Differential Distinguishers for Lightweight Block Ciphers. 2001-2013 - Jiahao Zheng, Yu Tang, Dapeng Wu:
Triplet Bridge for Zero-Shot Sketch-Based Image Retrieval. 2014-2025 - Naiyao Liang, Zuyuan Yang, Wei Han, Zhenni Li, Shengli Xie:
Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion. 2026-2032 - Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib:
Deep Analysis of Visual Product Reviews. 2033-2038 - Siguang Chen, Jianhua Shen:
Exploitation Maximization of Unlabeled Data for Federated Semi-Supervised Learning. 2039-2044 - Xun Shen:
Generative Model Predictive Control: Approximating MPC Law With Generative Models. 2045-2051 - Bouthaina Slika, Fadi Dornaika, Karim Hammoudi:
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images. 2052-2058 - Wei Zhang, Junjie Chen, Shiping Wen, Tingwen Huang:
Event-Triggered Random Delayed Impulsive Consensus of Multi-Agent Systems With Time-Varying Delay. 2059-2064 - Jie Yang, Chin-Teng Lin:
Toward Autonomous Distributed Clustering. 2065-2072 - Collin Beaudoin, Koustubh Phalak, Swaroop Ghosh:
Predicting Side Effect of Drug Molecules Using Recurrent Neural Networks. 2073-2078
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