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2020 – today
- 2023
[j307]Wencheng Han, Hao Li
, Maoguo Gong:
Multi-regularization sparse reconstruction based on multifactorial multiobjective optimization. Appl. Soft Comput. 136: 110122 (2023)- [j306]Tianqi Gao, Hao Li, Maoguo Gong, Mingyang Zhang, Wenyuan Qiao:
Superpixel-based multiobjective change detection based on self-adaptive neighborhood-based binary differential evolution. Expert Syst. Appl. 212: 118811 (2023) - [j305]Yongquan Liang, Qiuyu Song, Zhongying Zhao, Hui Zhou, Maoguo Gong:
BA-GNN: Behavior-aware graph neural network for session-based recommendation. Frontiers Comput. Sci. 17(6): 176613 (2023) - [j304]Jingwei Kou, Tao Zhan, Deyun Zhou, Yu Xie, Zhengshang Da, Maoguo Gong:
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements. Neurocomputing 517: 173-187 (2023) - [j303]Yuan Gao, Yew-Soon Ong, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Shanfeng Wang:
Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. 10(6, March 15): 5519-5529 (2023) - [j302]Yu Li, Lingling Huang, Weifeng Gao, Zhifang Wei, Tianqi Huang, Jingwei Xu, Maoguo Gong:
History information-based Hill-Valley technique for multimodal optimization problems. Inf. Sci. 631: 15-30 (2023) - [j301]Genghui Li, Lindong Xie, Zhenkun Wang, Huajun Wang, Maoguo Gong:
Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization. Inf. Sci. 634: 423-442 (2023) - [j300]Hui Zhou, Maoguo Gong, Shanfeng Wang, Yuan Gao, Zhongying Zhao:
SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. Knowl. Based Syst. 260: 110120 (2023) - [j299]Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang:
Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. 263: 110283 (2023) - [j298]Ke Pan, Maoguo Gong, Yuan Gao:
Privacy-enhanced generative adversarial network with adaptive noise allocation. Knowl. Based Syst. 272: 110576 (2023) - [j297]Qianlong Dang, Weifeng Gao, Maoguo Gong:
Dual transfer learning with generative filtering model for multiobjective multitasking optimization. Memetic Comput. 15(1): 3-29 (2023) - [j296]Mingyang Zhang, Hanhong Zheng, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery. Pattern Recognit. 138: 109354 (2023) - [j295]Xiaolong Fan, Maoguo Gong, Yue Wu:
Markov clustering regularized multi-hop graph neural network. Pattern Recognit. 139: 109518 (2023) - [j294]Lingling Liu, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Property of decision variables-inspired location strategy for multiobjective optimization. Swarm Evol. Comput. 77: 101226 (2023) - [j293]Yue Wu, Yue Zhang, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1413-1426 (2023) - [j292]Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng:
Modeling Cardinality in Image Hashing. IEEE Trans. Cybern. 53(1): 114-123 (2023) - [j291]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-Negative Matrix Factorization. IEEE Trans. Cybern. 53(2): 1093-1105 (2023) - [j290]Dongyuan Li, Xiaoke Ma, Maoguo Gong:
Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. IEEE Trans. Cybern. 53(3): 1653-1666 (2023) - [j289]Weifeng Gao, Zhifang Wei, Maoguo Gong, Gary G. Yen:
Solving Expensive Multimodal Optimization Problem by a Decomposition Differential Evolution Algorithm. IEEE Trans. Cybern. 53(4): 2236-2246 (2023) - [j288]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j287]Zhao Wang, Maoguo Gong, Peng Li, Fei Xie, Mingyang Zhang:
A Bilevel Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization. IEEE Trans. Evol. Comput. 27(2): 355-369 (2023) - [j286]Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma:
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 357-374 (2023) - [j285]Jianrui Chen, Tingting Zhu, Maoguo Gong, Zhihui Wang:
A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 552-564 (2023) - [j284]Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu:
Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j283]Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi:
Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j282]Jianzhao Li, Maoguo Gong, Huilin Liu, Yourun Zhang, Mingyang Zhang, Yue Wu:
Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j281]Mingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang:
Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j280]Yue Wu, Qianlin Yao, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao:
PANet: A Point-Attention Based Multi-Scale Feature Fusion Network for Point Cloud Registration. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j279]Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j278]Genghui Li, Zhenkun Wang, Maoguo Gong:
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2758-2769 (2023) - [j277]Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3284-3297 (2023) - 2022
- [j276]Tianheng Zhang, Jianli Zhao, Qiuxia Sun, Bin Zhang, Jianjian Chen, Maoguo Gong:
Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery. Appl. Intell. 52(7): 7761-7776 (2022) - [j275]Yun Liu, Shujuan Ji, Qiang Fu, Jianli Zhao, Zhongying Zhao, Maoguo Gong:
Latent semantic-enhanced discrete hashing for cross-modal retrieval. Appl. Intell. 52(14): 16004-16020 (2022) - [j274]Zhao Wang, Maoguo Gong, Peng Li, Jie Gu, Weidong Tian:
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition. Appl. Soft Comput. 116: 108297 (2022) - [j273]Hongbing Li, Shanfeng Wang, Qiang Chen, Maoguo Gong, Liwan Chen:
IPSMT: Multi-objective optimization of multipath transmission strategy based on improved immune particle swarm algorithm in wireless sensor networks. Appl. Soft Comput. 121: 108705 (2022) - [j272]Wencheng Han, Hao Li, Maoguo Gong:
Automatic binary and ternary change detection in SAR images based on evolutionary multiobjective optimization. Appl. Soft Comput. 125: 109200 (2022) - [j271]Weifeng Gao, Qianlong Dang, Maoguo Gong:
An adaptive framework to select the coordinate systems for evolutionary algorithms. Appl. Soft Comput. 129: 109585 (2022) - [j270]Lining Xing, Mingyang Zhang, Hao Li, Maoguo Gong, Jinghui Yang, Kesheng Wang:
Local search driven periodic scheduling for workflows with random task runtime in clouds. Comput. Ind. Eng. 168: 108033 (2022) - [j269]Ning Cao, Shujuan Ji, Dickson K. W. Chiu, Maoguo Gong:
A deceptive reviews detection model: Separated training of multi-feature learning and classification. Expert Syst. Appl. 187: 115977 (2022) - [j268]Jianli Zhao, Shidong Zheng, Huan Huo, Maoguo Gong, Tianheng Zhang, Lijun Qu:
Fast weighted CP decomposition for context-aware recommendation with explicit and implicit feedback. Expert Syst. Appl. 204: 117591 (2022) - [j267]Jianli Zhao, Tianheng Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong:
A novel initialization method of fixed point continuation for recommendation systems. Expert Syst. Appl. 210: 118346 (2022) - [j266]Jieyi Liu, Maoguo Gong, Mingyang Zhang, Hao Li, Shanshan Zhao:
An anti-jamming method in multistatic radar system based on convolutional neural network. IET Signal Process. 16(2): 220-231 (2022) - [j265]Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical multimodal transformer to summarize videos. Neurocomputing 468: 360-369 (2022) - [j264]Mulin Chen, Maoguo Gong, Xuelong Li:
Robust doubly stochastic graph clustering. Neurocomputing 475: 15-25 (2022) - [j263]Lijia Ma, Zengyang Shao, Lingling Li, Jiaxiang Huang, Shiqiang Wang, Qiuzhen Lin, Jian-Qiang Li, Maoguo Gong, Asoke K. Nandi:
Heuristics and metaheuristics for biological network alignment: A review. Neurocomputing 491: 426-441 (2022) - [j262]Yun Liu, Shujuan Ji, Qiang Fu, Dickson K. W. Chiu, Maoguo Gong:
An efficient dual semantic preserving hashing for cross-modal retrieval. Neurocomputing 492: 264-277 (2022) - [j261]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Unified dual-label semi-supervised learning with top-k feature selection. Neurocomputing 501: 875-888 (2022) - [j260]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested crowd instance localization with dilated convolutional swin transformer. Neurocomputing 513: 94-103 (2022) - [j259]Jianli Zhao, Hao Li, Lijun Qu, Qinzhi Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong:
DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems. Inf. Sci. 596: 222-235 (2022) - [j258]Weifeng Gao, Wei Xu, Maoguo Gong, Gary G. Yen:
A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization. Inf. Sci. 606: 531-548 (2022) - [j257]Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
Multiple source transfer learning for dynamic multiobjective optimization. Inf. Sci. 607: 739-757 (2022) - [j256]Qianlong Dang, Weifeng Gao, Maoguo Gong:
An efficient mixture sampling model for gaussian estimation of distribution algorithm. Inf. Sci. 608: 1157-1182 (2022) - [j255]Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie:
A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. Inf. Sci. 611: 649-659 (2022) - [j254]Qianlong Dang, Weifeng Gao, Maoguo Gong, Shuai Yang:
Multi-objective multitasking optimization based on positive knowledge transfer mechanism. Inf. Sci. 612: 322-343 (2022) - [j253]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Maoguo Gong:
An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization. Inf. Sci. 612: 1127-1144 (2022) - [j252]Zengyang Shao, Lijia Ma, Qiuzhen Lin, Jianqiang Li, Maoguo Gong, Asoke K. Nandi:
PMCDM: Privacy-preserving multiresolution community detection in multiplex networks. Knowl. Based Syst. 244: 108542 (2022) - [j251]Tongfei Liu, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Hao Li:
Landslide Inventory Mapping Method Based on Adaptive Histogram-Mean Distance With Bitemporal VHR Aerial Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j250]Tao Zhan, Maoguo Gong, Xiangming Jiang, Wei Zhao:
Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j249]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34(8): 6547-6567 (2022) - [j248]Hanhong Zheng, Maoguo Gong, Tongfei Liu, Fenlong Jiang, Tao Zhan, Di Lu, Mingyang Zhang:
HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images. Pattern Recognit. 129: 108717 (2022) - [j247]Junyu Gao, Maoguo Gong, Xuelong Li:
Global Multi-Scale Information Fusion for Multi-Class Object Counting in Remote Sensing Images. Remote. Sens. 14(16): 4026 (2022) - [j246]Hongyu Zhao, Kaiyuan Feng, Yue Wu, Maoguo Gong:
An Efficient Feature Extraction Network for Unsupervised Hyperspectral Change Detection. Remote. Sens. 14(18): 4646 (2022) - [j245]Jieyi Liu, Maoguo Gong, Zhao Nie, Hao Li, Jingyao Liu, Shanshan Zhao:
Subset Selection Strategies Based on Target Positioning Characteristics for Anti-Jamming Technology. Remote. Sens. 14(24): 6230 (2022) - [j244]Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang:
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction. Swarm Evol. Comput. 75: 101153 (2022) - [j243]Xiaoke Ma, Peng Gang Sun, Maoguo Gong:
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 305-316 (2022) - [j242]Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j241]Kaiyuan Feng, Xia Fei, Maoguo Gong, A. Kai Qin, Hao Li, Yue Wu:
An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5790-5802 (2022) - [j240]Jia Liu, Maoguo Gong, Zedong Tang, A. Kai Qin, Hao Li, Fenlong Jiang:
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6599-6614 (2022) - [j239]Mingyang Zhang, Maoguo Gong, Haibo He, Shengqi Zhu:
Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification. IEEE Trans. Cybern. 52(5): 2981-2993 (2022) - [j238]Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j237]Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello:
A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. 52(5): 3495-3509 (2022) - [j236]Zedong Tang, Maoguo Gong, Yue Wu, A. Kai Qin, Kay Chen Tan:
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52(7): 6745-6758 (2022) - [j235]Qiuzhen Lin, Xunfeng Wu, Lijia Ma, Jianqiang Li, Maoguo Gong, Carlos A. Coello Coello:
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(4): 631-645 (2022) - [j234]Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 136-149 (2022) - [j233]Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, Alex Kai Qin:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 300-314 (2022) - [j232]Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie:
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 818-827 (2022) - [j231]Maoguo Gong, Fenlong Jiang, Alex Kai Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang:
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j230]Maoguo Gong, Jianzhao Li, Yourun Zhang, Yue Wu, Mingyang Zhang:
Two-Path Aggregation Attention Network With Quad-Patch Data Augmentation for Few-Shot Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j229]Xiangming Jiang, Yizhe Zhao, Maoguo Gong, Tao Zhan, Mingyang Zhang:
A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j228]Qiang Li, Maoguo Gong, Yuan Yuan, Qi Wang:
Symmetrical Feature Propagation Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j227]Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang:
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j226]Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao:
Self-Supervised Monocular Depth Estimation With Multiscale Perception. IEEE Trans. Image Process. 31: 3251-3266 (2022) - [j225]Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu:
Heuristic 3D Interactive Walks for Multilayer Network Embedding. IEEE Trans. Knowl. Data Eng. 34(7): 3309-3321 (2022) - [j224]Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, Alex Kai Qin:
Exploring Temporal Information for Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3754-3764 (2022) - [j223]Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang:
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 244-256 (2022) - [j222]Yue Wu, Jiaheng Li, Yongzhe Yuan, A. Kai Qin, Qiguang Miao, Maoguo Gong:
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4257-4270 (2022) - [j221]Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu:
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7172-7184 (2022) - [j220]Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7400-7413 (2022) - [j219]Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong:
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7806-7817 (2022) - [j218]Lijia Ma, Xiao Zhang, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Asoke K. Nandi:
Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3808-3821 (2022) - [c101]Yue Wu, Jiaming Liu, Maoguo Gong, Wenping Ma, Qiguang Miao:
Centralized Motion-Aware Enhancement for Single Object Tracking on Point Clouds. CCIS 2022: 186-192 - [c100]Yue Wu, Hangqi Ding, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma:
Evolutionary Multitasking for Coarse-to-Fine Point Cloud Registration with Chaotic Opposition Search Strategy. CICAI (1) 2022: 293-304 - [c99]Pu Xiong, Xiangming Jiang, Runyu Wang, Hao Li, Yue Wu, Maoguo Gong:
Evolutionary Multitasking Optimization for Multiobjective Hyperspectral Band Selection. CICAI (3) 2022: 374-385 - [c98]Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi:
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. IJCNN 2022: 1-8 - [c97]Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi:
Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification. IJCNN 2022: 1-8 - [i23]Yue Wu, Yibo Liu, Maoguo Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma:
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism. CoRR abs/2205.02996 (2022) - [i22]Yiheng Lu, Maoguo Gong, Wei Zhao, Kaiyuan Feng, Hao Li:
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification. CoRR abs/2208.04588 (2022) - [i21]Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng:
Entropy Induced Pruning Framework for Convolutional Neural Networks. CoRR abs/2208.06660 (2022) - [i20]Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang:
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach. CoRR abs/2210.05676 (2022) - [i19]Mingyang Zhang, Ziqi Di, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification. CoRR abs/2211.07316 (2022) - [i18]Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration. CoRR abs/2212.05679 (2022) - 2021
- [j217]Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong:
Federated matrix factorization for privacy-preserving recommender systems. Appl. Soft Comput. 111: 107700 (2021) - [j216]Jianzhao Li, Hao Li, Yiting Liu, Maoguo Gong:
Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction. Appl. Soft Comput. 111: 107713 (2021) - [j215]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j214]Peipei Zhao, Qiguang Miao, Hang Yao, Xiangzeng Liu, Ruyi Liu, Maoguo Gong:
CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification. IET Image Process. 15(14): 3718-3727 (2021) - [j213]