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Publication search results
found 1,200 matches
- 2025
- Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification. Expert Syst. Appl. 259: 125291 (2025) - Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng:
Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction. Pattern Recognit. 158: 110986 (2025) - 2024
- Zixiu Guo, Michael C. Cahalane, Amelia Carbonie:
Online gaming with a purpose: exploring positive personal development achieved through esports play. Behav. Inf. Technol. 43(1): 72-94 (2024) - Li Guo, Anas M. Tahir, Michael Hore, Andrew Collins, Andrew Rideout, Z. Jane Wang:
A multi-task learning model for clinically interpretable sesamoiditis grading. Comput. Biol. Medicine 182: 109179 (2024) - Anas M. Tahir, Li Guo, Rabab K. Ward, Xinhui Yu, Andrew Rideout, Michael Hore, Z. Jane Wang:
Explainable machine learning for assessing upper respiratory tract of racehorses from endoscopy videos. Comput. Biol. Medicine 181: 109030 (2024) - Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, Dong In Kim:
Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception. IEEE Commun. Mag. 62(10): 96-102 (2024) - Shan Liu, Guoqiang Xiao, Michael S. Lew, Xinbo Gao, Song Wu:
Core-attributes enhanced generative adversarial networks for robust image enhancement. Eng. Appl. Artif. Intell. 131: 107799 (2024) - Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible-infrared Person Re-identification. Eng. Appl. Artif. Intell. 133: 107990 (2024) - Song Wu, Xiang Yuan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao:
Deep cross-modal hashing with multi-task latent space learning. Eng. Appl. Artif. Intell. 136: 108944 (2024) - Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024) - Pradeep Kumar, Guo-Liang Shih, Bo-Lin Guo, Siva Kumar Nagi, Yibeltal Chanie Manie, Cheng-Kai Yao, Michael Augustine Arockiyadoss, Peng-Chun Peng:
Enhancing Smart City Safety and Utilizing AI Expert Systems for Violence Detection. Future Internet 16(2): 50 (2024) - Yifan Wang, Haikuan Zhu, Hongbo Li, Guoli Yan, Sagar Buch, Ying Wang, Ewart Mark Haacke, Jing Hua, Zichun Zhong:
ROSE: Multi-level super-resolution-oriented semantic embedding for 3D microvasculature segmentation from low-resolution images. Neurocomputing 599: 128038 (2024) - Christos Koulamas, George J. Kyparisis, Michael L. Pinedo, Guohua Wan:
Erratum to "Competitive Two-Agent Scheduling and Its Applications". Oper. Res. 72(4): 1749-1750 (2024) - Qianlong Wang, Weixian Liao, Yifan Guo, Michael P. McGuire, Wei Yu:
Blockchain-Empowered Federated Learning Through Model and Feature Calibration. IEEE Internet Things J. 11(4): 5770-5780 (2024) - Dehua Liu, Selasi Kwashie, Yidi Zhang, Guangtong Zhou, Michael Bewong, Xiaoying Wu, Xi Guo, Keqing He, Zaiwen Feng:
An efficient approach for discovering Graph Entity Dependencies (GEDs). Inf. Syst. 125: 102421 (2024) - Hua Guo, Michael Scriney, Kecheng Liu:
An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems. Inf. Syst. Frontiers 26(1): 277-300 (2024) - Hua Guo, Michael Scriney, Kecheng Liu:
Correction to: An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems. Inf. Syst. Frontiers 26(2): 849 (2024) - Zuwei Guo, Nahid Ul Islam, Michael B. Gotway, Jianming Liang:
Stepwise incremental pretraining for integrating discriminative, restorative, and adversarial learning. Medical Image Anal. 95: 103159 (2024) - Ramy Hussein, David D. Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Gary Steinberg, Michael E. Moseley, Greg Zaharchuk:
Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks. Medical Image Anal. 93: 103072 (2024) - Qiong Liu, Yu-Jung Tsai, Jean-Dominique Gallezot, Xueqi Guo, Ming-Kai Chen, Darko Pucar, Colin Young, Vladimir Y. Panin, Michael E. Casey, Tianshun Miao, Huidong Xie, Xiongchao Chen, Bo Zhou, Richard E. Carson, Chi Liu:
Population-based deep image prior for dynamic PET denoising: A data-driven approach to improve parametric quantification. Medical Image Anal. 95: 103180 (2024) - Mingkai Tian, Guorong Li, Yuankai Qi, Shuhui Wang, Quan Z. Sheng, Qingming Huang:
Rethink video retrieval representation for video captioning. Pattern Recognit. 156: 110744 (2024) - Yunfeng Liu, Jianshe Yu, Yuming Chen, Zhiming Guo:
Periodic Dynamics of a Reaction-Diffusion-Advection Model with Michaelis-Menten Type Harvesting in Heterogeneous Environments. SIAM J. Appl. Math. 84(5): 1891-1909 (2024) - Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros:
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives. SIAM J. Optim. 34(3): 2314-2349 (2024) - Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hänsch:
Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11194-11207 (2024) - Zhenxiao Zhang, Yuanxiong Guo, Yuguang Fang, Yanmin Gong:
Communication and Energy Efficient Wireless Federated Learning With Intrinsic Privacy. IEEE Trans. Dependable Secur. Comput. 21(4): 4035-4047 (2024) - Rui Wang, Yaming Ding, Zhengwei Xu, Michael S. Zhdanov, Minghao Xian, Yu Zhang, Jun Li, Chao Jiang, Ziqing Guo:
Employing MS-UNets Networks for Multiscale 3-D Gravity Data Inversion: A Case Study in the Nordkapp Basin, Barents Sea. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - Rui Wang, Zhengwei Xu, Changjie Lai, Xuben Wang, Michael S. Zhdanov, Guowei Li, Zhiyao Cheng, Jun Li, Guangdong Zhao, Shengxian Liang, Hua Li, Yuxin Zhang:
Reconstructing 2-D Basement Relief Using Gravity Data by Deep Neuron Network: An Application on Poyang Basin. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Huanyu Guo, Xin Jin, Qian Jiang, Michal Wozniak, Puming Wang, Shaowen Yao:
DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - Guoxin Zhang, Wei Yi, Michail Matthaiou, Pramod K. Varshney:
Direct Target Localization With Low-Bit Quantization in Wireless Sensor Networks. IEEE Trans. Signal Process. 72: 3059-3075 (2024) - Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman:
EVM: Incorporating Model Checking into Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. 30(1): 208-218 (2024)
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