Weikang Gong

28 papers Journal 27Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepRMSF: a deep learning-based automated approach for predicting atomic-level flexibility in RNA structure.
Briefings Bioinform.
Chenjie Feng, Xiaowen Sun, Xintao Song, Lei Bao, Weikang Gong, Renmin Han
2026 J jnl
Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning.
CoRR
Ziheng Li, Liu Kang, Feng Xiao, Luxi Xing, Qingyi Si, Zhuoran Li, Weikang Gong, Deqing Yang, Yanghua Xiao, Hongcheng Guo
2025 J jnl
DecoFuse: Decomposing and Fusing the "What", "Where", and "How" for Brain-Inspired fMRI-to-Video Decoding.
CoRR
Chong Li, Jingyang Huo, Weikang Gong, Yanwei Fu, Xiangyang Xue, Jianfeng Feng
2025 J jnl
scValue: value-based subsampling of large-scale single-cell transcriptomic data for machine and deep learning tasks.
Briefings Bioinform.
Li Huang, Weikang Gong, Dongsheng Chen
2024 J jnl
Quality Assessment for Stitched Panoramic Images via Patch Registration and Bidimensional Feature Aggregation.
IEEE Trans. Multim.
Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Ke Gu, Jinjian Wu
2023 J jnl
Identification of metal ion-binding sites in RNA structures using deep learning method.
Briefings Bioinform.
Yanpeng Zhao, Jingjing Wang, Fubin Chang, Weikang Gong, Yang Liu, Chunhua Li
2023 J jnl
Pyramid Feature Aggregation for Hierarchical Quality Prediction of Stitched Panoramic Images.
IEEE Trans. Multim.
Yu Zhou, Weikang Gong, Yanjing Sun, Leida Li, Jinjian Wu, Xinbo Gao
2023 J jnl
Supervised Phenotype Discovery From Multimodal Brain Imaging.
IEEE Trans. Medical Imaging
Weikang Gong, Song Bai, Ying-Qiu Zheng, Stephen M. Smith, Christian F. Beckmann
2023 J jnl
emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model.
Briefings Bioinform.
Shuang Yang, Weikang Gong, Tong Zhou, Xiaohan Sun, Lei Chen, Wenxue Zhou, Chunhua Li
2022 J jnl
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies.
NeuroImage
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
2022 J jnl
Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.
NeuroImage
Ying-Qiu Zheng, Seyedeh-Rezvan Farahibozorg, Weikang Gong, Hossein Rafipoor, Saâd Jbabdi, Stephen M. Smith
2022 J jnl
An ensemble approach to predict binding hotspots in protein-RNA interactions based on SMOTE data balancing and Random Grouping feature selection strategies.
Bioinform.
Tong Zhou, Jie Rong, Yang Liu, Weikang Gong, Chunhua Li
2022 J jnl
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.
Lei Chen, Weikang Gong, Zhongjie Han, Wenxue Zhou, Shuang Yang, Chunhua Li
2022 J jnl
Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation.
Briefings Bioinform.
Weikang Gong, Junjie Wee, Min-Chun Wu, Xiaohan Sun, Chunhua Li, Kelin Xia
2021 J jnl
Accurate brain age prediction with lightweight deep neural networks.
Medical Image Anal.
Han Peng, Weikang Gong, Christian F. Beckmann, Andrea Vedaldi, Stephen M. Smith
2021 J jnl
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction.
BMC Bioinform.
Jingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqian Huang, Jianjun Tan
2021 J jnl
Equally Weighted Multiscale Elastic Network Model and Its Comparison with Traditional and Parameter-Free Models.
J. Chem. Inf. Model.
Weikang Gong, Yang Liu, Yanpeng Zhao, Shihao Wang, Zhongjie Han, Chunhua Li
2021 J jnl
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data.
NeuroImage
Seyedeh-Rezvan Farahibozorg, Janine D. Bijsterbosch, Weikang Gong, Saâd Jbabdi, Stephen M. Smith, Samuel J. Harrison, Mark W. Woolrich
2021 J jnl
Phenotype discovery from population brain imaging.
Medical Image Anal.
Weikang Gong, Christian F. Beckmann, Stephen M. Smith
2021 J jnl
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age.
NeuroImage
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
2021 J jnl
aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Bioinform.
Yang Liu, Weikang Gong, Yanpeng Zhao, Xueqing Deng, Shan Zhang, Chunhua Li
2020 J jnl
Analyses on clustering of the conserved residues at protein-RNA interfaces and its application in binding site identification.
BMC Bioinform.
Zhen Yang, Xueqing Deng, Yang Liu, Weikang Gong, Chunhua Li
2019 J jnl
A powerful and efficient multivariate approach for voxel-level connectome-wide association studies.
NeuroImage
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
2019 J jnl
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.
Bioinform.
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
2019 J jnl
DM-RPIs: Predicting ncRNA-protein interactions using stacked ensembling strategy.
Comput. Biol. Chem.
Shuping Cheng, Lu Zhang, Jianjun Tan, Weikang Gong, Chunhua Li, Xiaoyi Zhang
2019 — conf
Transfer Learning Models on Brain Age Prediction.
ISICDM
Yanhao Ren, Qiang Luo, Weikang Gong, Wenlian Lu
2018 J jnl
Statistical testing and power analysis for brain-wide association study.
Medical Image Anal.
Weikang Gong, Lin Wan, Wenlian Lu, Liang Ma, Fan Cheng, Wei Cheng, Stefan Grünewald, Jianfeng Feng
2018 J jnl
Structured sparse
Pattern Recognit. Lett.
Weikang Gong, Renbo Zhao, Stefan Grünewald