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- Guohua Geng
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aka: Guang-Gang Geng - Borja Genovés Guzmán
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Publication search results
found 25,361 matches
- 2025
- Chaojie Kan, Shizhe Zhu, Ren Zhuang, Qinglei Wang, Ayan Geng, Chaolan Wang, Mengye Zhou, Ying Shen, Tong Wang, Yi Zhu, Chuan Guo:
Differences in cortical activation characteristics between younger and older adults during single/dual-tasks: A cross-sectional study based on fNIRS. Biomed. Signal Process. Control. 99: 106945 (2025) - Juliette Gerbaux, Guy Desaulniers, Quentin Cappart:
A machine-learning-based column generation heuristic for electric bus scheduling. Comput. Oper. Res. 173: 106848 (2025) - Xiyuan Jia, Zongqing Mao, Zhen Zhang, Qiyun Lv, Xin Wang, Guohua Wu:
Syntax-controlled paraphrases generation with VAE and multi-task learning. Comput. Speech Lang. 89: 101705 (2025) - Guangzhi Sun, Chao Zhang, Ivan Vulic, Pawel Budzianowski, Philip C. Woodland:
Knowledge-aware audio-grounded generative slot filling for limited annotated data. Comput. Speech Lang. 89: 101707 (2025) - Guoqing Chen, Rong Hao, Ming Yang:
Popularity-based multiple-replica cloud storage integrity auditing for big data. Future Gener. Comput. Syst. 163: 107534 (2025) - Shengbo Chen, Shuai Li, Guanghui Wang, Keping Yu:
Finite-horizon energy allocation scheme in energy harvesting-based linear wireless sensor network. Future Gener. Comput. Syst. 162: 107493 (2025) - Yanan Liang, Li Zhu, Meixin Zhang, Xinjun Gao, Guangming Li, Jian Li:
Blockchain based computing power sharing in urban rail transit: System design and performance improvement. Future Gener. Comput. Syst. 163: 107381 (2025) - Shanchen Pang, Luqi Wang, Haiyuan Gui, Sibo Qiao, Xiao He, Zhiyuan Zhao:
UAV-IRS-assisted energy harvesting for edge computing based on deep reinforcement learning. Future Gener. Comput. Syst. 163: 107527 (2025) - Jonathan G. P. dos Santos, Geraldo P. Rocha Filho, Rodolfo Ipolito Meneguette, Rodrigo Bonacin, Gustavo Pessin, Vinícius P. Gonçalves:
Enhancing IoT device security in Kubernetes: An approach adopted for network policies and the SARIK framework. Future Gener. Comput. Syst. 162: 107485 (2025) - Zhixia Teng, Yongliang Li, Zhen Tian, Yingjian Liang, Guohua Wang:
Drug repositioning by collaborative learning based on graph convolutional inductive network. Future Gener. Comput. Syst. 162: 107491 (2025) - Kaimin Zhang, Xing-Wei Wang, Lin Qiu, Enliang Lv, Jingjing Guo, Bo Yi:
JCDC: A blockchain-based framework for secure data storage and circulation in JointCloud. Future Gener. Comput. Syst. 162: 107486 (2025) - Bo Yang, Zhaohui Jiang, Dong Pan, Haoyang Yu, Gui Gui, Weihua Gui:
LFDT-Fusion: A latent feature-guided diffusion Transformer model for general image fusion. Inf. Fusion 113: 102639 (2025) - Guoyun Duan, Hai Zhao, Minjie Cai, Jianhua Sun, Hao Chen:
DFL: A DOM sample generation oriented fuzzing framework for browser rendering engines. Inf. Softw. Technol. 177: 107591 (2025) - Congyi Zhang, Xu He, Hao Sang, Hengzhou Yuan, Dawei Liu, Yang Guo:
A general and accurate pattern search method for various scenarios. Integr. 100: 102281 (2025) - Fei Xu, Yasai Guo, Manting Xie:
A novel multilevel finite element method for a generalized nonlinear Schrödinger equation. J. Comput. Appl. Math. 457: 116280 (2025) - Xiao Lin, Peiyang Su, Weisheng Lu, Hongling Guo:
ModulePacking: A Top-Down Generative Design Approach for Modular Key Plans. J. Comput. Civ. Eng. 39(1) (2025) - Fan Zhang, Po-Wei Li, Yan Gu, Chia-Ming Fan:
A space-time generalized finite difference scheme for long wave propagation based on high-order Korteweg-de Vries type equations. Math. Comput. Simul. 228: 298-312 (2025) - Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu:
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. Pattern Recognit. 158: 110962 (2025) - Xianhua Zeng, Yang Zhuo, Tianxing Liao, Jueqiu Guo:
Cloud-GAN: Cloud Generation Adversarial Networks for anomaly detection. Pattern Recognit. 157: 110866 (2025) - Zipeng Wang, Jihong Yan, Guanzhong Yan, Boshuai Yu:
Multi-scale control and action recognition based human-robot collaboration framework facing new generation intelligent manufacturing. Robotics Comput. Integr. Manuf. 91: 102847 (2025) - Chao Zhang, Qingfeng Xu, Yongrui Yu, Guanghui Zhou, Keyan Zeng, Fengtian Chang, Kai Ding:
A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing. Robotics Comput. Integr. Manuf. 92: 102883 (2025) - 2024
- Guillaume Baldi:
Contributions à la modélisation procédurale de structures cellulaires stochastoques 2D et à leur génération par l'exemple. (Contributions to procedural modeling and by-example generation of 2D cellular stochastic structures). University of Strasbourg, France, 2024 - Jiayuan Gu:
Learning Generalist Robot Manipulation Policies. University of California, San Diego, USA, 2024 - Zhengjun Jing, Xiaolong Xu, Chunseng Gu, Yan Zhang, Qiang Shu:
A Security-enhanced Advertising Platform based on Blockchain and Edge Computing in Generative AI. Appl. Artif. Intell. 38(1) (2024) - Fen Xu, Jian Wang, Minghuan Guo, Zhifeng Wang:
Prediction of Solar Concentration Flux Distribution for a Heliostat Based on Lunar Concentration Image and Generative Adversarial Networks. Appl. Artif. Intell. 38(1) (2024) - Qianghui Guo, Yinglie Jin, Lisa Hui Sun, Shina Xu:
Bijective enumeration of general stacks. Adv. Appl. Math. 158: 102722 (2024) - Jiuqiang Liu, Shenggui Zhang, Guihai Yu:
Generating functions and counting formulas for spanning trees and forests in hypergraphs. Adv. Appl. Math. 155: 102667 (2024) - R. Vijay Anand, Magesh G, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Francesco Benedetto:
Quantum Channel Optimization: Integrating Quantum-Inspired Machine Learning With Genetic Adaptive Strategies. IEEE Access 12: 80397-80417 (2024) - Xun Bao, Weilan Wang, Xiaojuan Wang, Guanzhong Zhao, Huarui Li, Meiling Liu:
Toward Better Generalization of Cross-Domain Few-Shot Classification in Tibetan Character With Contrastive Learning and Meta Fine-Tuning. IEEE Access 12: 134439-134452 (2024) - Maximilian Bäumler, Felix Linke, Günther Prokop:
Categorizing Data-Driven Methods for Test Scenario Generation to Assess Automated Driving Systems. IEEE Access 12: 52030-52050 (2024)
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