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Weikang Gong
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2020 – today
- 2024
- [j23]Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Ke Gu, Jinjian Wu:
Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation. IEEE Trans. Multim. 26: 3354-3365 (2024) - 2023
- [j22]Yanpeng Zhao, Jingjing Wang, Fubin Chang, Weikang Gong, Yang Liu, Chunhua Li:
Identification of metal ion-binding sites in RNA structures using deep learning method. Briefings Bioinform. 24(2) (2023) - [j21]Shuang Yang, Weikang Gong, Tong Zhou, Xiaohan Sun, Lei Chen, Wenxue Zhou, Chunhua Li:
emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model. Briefings Bioinform. 24(4) (2023) - [j20]Weikang Gong, Song Bai, Ying-Qiu Zheng, Stephen M. Smith, Christian F. Beckmann:
Supervised Phenotype Discovery From Multimodal Brain Imaging. IEEE Trans. Medical Imaging 42(3): 834-849 (2023) - [j19]Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Jinjian Wu, Xinbo Gao:
Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images. IEEE Trans. Multim. 25: 4177-4186 (2023) - 2022
- [j18]Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia:
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation. Briefings Bioinform. 23(4) (2022) - [j17]Tong Zhou, Jie Rong, Yang Liu, Weikang Gong, Chunhua Li:
An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies. Bioinform. 38(9): 2452-2458 (2022) - [j16]Lei Chen, Weikang Gong, Zhongjie Han, Wenxue Zhou, Shuang Yang, Chunhua Li:
Key Residues in δ Opioid Receptor Allostery Explored by the Elastic Network Model and the Complex Network Model Combined with the Perturbation Method. J. Chem. Inf. Model. 62(24): 6727-6738 (2022) - [j15]Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Shitong Xiang, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Gunter Schumann, Fengzhu Sun, Jianfeng Feng:
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage 255: 119166 (2022) - [j14]Ying-Qiu Zheng, Seyedeh-Rezvan Farahibozorg, Weikang Gong, Hossein Rafipoor, Saâd Jbabdi, Stephen M. Smith:
Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner. NeuroImage 259: 119418 (2022) - 2021
- [j13]Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li:
aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks. Bioinform. 37(7): 937-942 (2021) - [j12]Jingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqian Huang, Jianjun Tan:
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction. BMC Bioinform. 22(1): 133 (2021) - [j11]Weikang Gong, Yang Liu, Yanpeng Zhao, Shihao Wang, Zhongjie Han, Chunhua Li:
Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models. J. Chem. Inf. Model. 61(2): 921-937 (2021) - [j10]Han Peng, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith:
Accurate brain age prediction with lightweight deep neural networks. Medical Image Anal. 68: 101871 (2021) - [j9]Weikang Gong, Christian F. Beckmann, Stephen M. Smith:
Phenotype discovery from population brain imaging. Medical Image Anal. 71: 102050 (2021) - [j8]Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng:
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. NeuroImage 237: 118188 (2021) - [j7]Seyedeh-Rezvan Farahibozorg, Janine D. Bijsterbosch, Weikang Gong, Saâd Jbabdi, Stephen M. Smith, Samuel J. Harrison, Mark W. Woolrich:
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. NeuroImage 243: 118513 (2021) - 2020
- [j6]Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li:
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification. BMC Bioinform. 21(1): 57 (2020)
2010 – 2019
- 2019
- [j5]Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng:
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35(19): 3771-3778 (2019) - [j4]Shuping Cheng, Lu Zhang, Jianjun Tan, Weikang Gong, Chunhua Li, Xiaoyi Zhang:
DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy. Comput. Biol. Chem. 83 (2019) - [j3]Weikang Gong, Fan Cheng, Edmund T. Rolls, Chun-Yi Zac Lo, Chu-Chung Huang, Shih-Jen Tsai, Albert C. Yang, Ching-Po Lin, Jianfeng Feng:
A powerful and efficient multivariate approach for voxel-level connectome-wide association studies. NeuroImage 188: 628-641 (2019) - [c1]Yanhao Ren, Qiang Luo, Weikang Gong, Wenlian Lu:
Transfer Learning Models on Brain Age Prediction. ISICDM 2019: 278-282 - 2018
- [j2]Weikang Gong, Lin Wan, Wenlian Lu, Liang Ma, Fan Cheng, Wei Cheng, Stefan Grünewald, Jianfeng Feng:
Statistical testing and power analysis for brain-wide association study. Medical Image Anal. 47: 15-30 (2018) - [j1]Weikang Gong, Renbo Zhao, Stefan Grünewald:
Structured sparse K-means clustering via Laplacian smoothing. Pattern Recognit. Lett. 112: 63-69 (2018)
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