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2020 – today
- 2024
[j9]Peiyan Jia, Chen Chen, Delong Zhang, Yulong Sang, Lei Zhang
:
Semantic segmentation of deep learning remote sensing images based on band combination principle: Application in urban planning and land use. Comput. Commun. 217: 97-106 (2024)- [j8]Suiyan Wang, Jiaye Tian, Pengfei Liang, Xuefang Xu, Zhuoze Yu, Siyuan Liu, Delong Zhang:
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data. Eng. Appl. Artif. Intell. 133: 108146 (2024) - [c11]Delong Zhang, Chong Ye, Fei He:
P4Inv: Inferring Packet Invariants for Verification of Stateful P4 Programs. INFOCOM 2024: 2129-2138 - [c10]Delong Zhang, Yi-Xing Peng, Xiao-Ming Wu, Ancong Wu, Weishi Zheng:
PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement. ACM Multimedia 2024: 6326-6334 - [i2]Delong Zhang, Yi-Xing Peng, Xiao-Ming Wu, Ancong Wu, Wei-Shi Zheng:
PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement. CoRR abs/2408.05543 (2024) - 2023
- [j7]Yingying Huang, Frank E. Pollick, Ming Liu, Delong Zhang:
Gabor and Non-Gabor Neural Representations Are Shared between Visual Perception and Mental Imagery. J. Cogn. Neurosci. 35(6): 1045-1060 (2023) - [c9]Tianrun Chen, Ying Zang, Jia Zhang, Delong Zhang:
High-quality label-free prediction of fluorescence images through stimulated Raman scattering imaging and recurrent deep neural network. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i1]Zi-Yu Khoo, Delong Zhang, Stéphane Bressan:
What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field. CoRR abs/2312.08944 (2023) - 2022
- [j6]Huawei Xu, Ming Liu, Delong Zhang:
How does the brain represent the semantic content of an image? Neural Networks 154: 31-42 (2022) - [c8]Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang:
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. AAAI 2022: 9849-9857 - [c7]Weilin Luo, Rongzhen Ye, Hai Wan, Shaowei Cai, Biqing Fang, Delong Zhang:
Improving Local Search Algorithms via Probabilistic Configuration Checking. AAAI 2022: 10283-10290 - [c6]Zi-Yu Khoo, Delong Zhang, Stéphane Bressan:
What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field. DEXA (2) 2022: 297-302 - [c5]Weilin Luo, Hai Wan, Jianfeng Du, Xiaoda Li, Yuze Fu, Rongzhen Ye, Delong Zhang:
Teaching LTLf Satisfiability Checking to Neural Networks. IJCAI 2022: 3292-3298 - [c4]Weilin Luo, Hai Wan, Delong Zhang, Jianfeng Du, Hengdi Su:
Checking LTL Satisfiability via End-to-end Learning. ASE 2022: 21:1-21:13 - 2021
- [c3]Delong Zhang, Zhijun Ye, Huipeng Chen, Peng Zhou, Jiliang Luo:
Research on Digital Twin Model and Visualization of Power Transformer. ICNSC 2021: 1-5 - 2020
- [j5]Longze Wang, Jing Wu, Rongfang Yuan, Delong Zhang, Jinxin Liu, Siyu Jiang, Yan Zhang, Meicheng Li:
Dynamic Adaptive Cross-Chain Trading Mode for Multi-Microgrid Joint Operation. Sensors 20(21): 6096 (2020) - [c2]Delong Zhang, Mengqun Jin, Peng Cao:
ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. BIBM 2020: 2153-2160 - [c1]Mengqun Jin, Delong Zhang, Peng Cao:
AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. ISICDM 2020: 177-181
2010 – 2019
- 2019
- [j4]Delong Zhang, Zhenni Gao, Bishan Liang, Junchao Li, Yuxuan Cai, Zengjian Wang, Mengxia Gao, Bingqing Jiao, Ruiwang Huang, Ming Liu:
Eyes Closed Elevates Brain Intrinsic Activity of Sensory Dominance Networks: A Classifier Discrimination Analysis. Brain Connect. 9(2): 221-230 (2019) - 2017
- [j3]Zhenni Gao, Delong Zhang, Aiying Liang, Bishan Liang, Zengjian Wang, Yuxuan Cai, Junchao Li, Mengxia Gao, Xiaojin Liu, Song Chang, Bingqing Jiao, Ruiwang Huang, Ming Liu:
Exploring the Associations Between Intrinsic Brain Connectivity and Creative Ability Using Functional Connectivity Strength and Connectome Analysis. Brain Connect. 7(9): 590-601 (2017) - 2014
- [j2]Delong Zhang, Jiaqing Qiao, Jun-Bao Li, Liyan Qiao, Shu-Chuan Chu, John F. Roddick:
Optimizing Matrix Mapping with Data Dependent Kernel for Image Classification. J. Inf. Hiding Multim. Signal Process. 5(1): 72-79 (2014)
2000 – 2009
- 2003
- [j1]Shangwang Tan, Bolian Liu, Delong Zhang:
Extreme tournaments with given primitive exponents. Australas. J Comb. 28: 81-92 (2003)
Coauthor Index
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