Yuedong Yang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 129

Top Venues

Publications

Siying Lin, Juanjuan Yong, Lei Zhang, Xiaolong Chen, Liang Qiao, Weidong Pan, Yuedong Yang, Huiying Zhao
Applying image features of proximal paracancerous tissues in predicting prognosis of patients with hepatocellular carcinoma. Comput. Biol. Medicine 173 (2024)
Jiancong Xie, Jiahua Rao, Junjie Xie, Huiying Zhao, Yuedong Yang
Predicting disease-gene associations through self-supervised mutual infomax graph convolution network. Comput. Biol. Medicine 170 (2024)
Hao Zhang, Jinchao Huang, Junjie Xie, Weifeng Huang, Yuedong Yang, Mingyuan Xu, Jinping Lei, Hongming Chen
GRELinker: A Graph-Based Generative Model for Molecular Linker Design with Reinforcement and Curriculum Learning. J. Chem. Inf. Model. 64 (3) (2024)
Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. CoRR (2024)
Hegang Chen, Yuyin Lu, Zhiming Dai, Yuedong Yang, Qing Li, Yanghui Rao
Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge. Briefings Bioinform. 25 (4) (2024)
Yuansong Zeng, Mai Luo, Ningyuan Shangguan, Peiyu Shi, Junxi Feng, Jin Xu, Ken Chen, Yutong Lu, Weijiang Yu, Yuedong Yang
Deciphering cell types by integrating scATAC-seq data with genome sequences. Nat. Comput. Sci. 4 (4) (2024)
Jing Wang, Sheng Chen, Qianmu Yuan, Jianwen Chen, Danping Li, Lei Wang, Yuedong Yang
Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation. J. Comput. Chem. 45 (8) (2024)
Mai Luo, Yuansong Zeng, Jianing Chen, Ningyuan Shangguan, Wenhao Zhou, Yuedong Yang
Accurately Deciphering Novel Cell Type in Spatially Resolved Single-Cell Data Through Optimal Transport. ISBRA (2) (2024)
Hua Chai, Siyin Lin, Junqi Lin, Minfan He, Yuedong Yang, Yongzhong OuYang, Huiying Zhao
An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome. BMC Bioinform. 25 (1) (2024)
Ken Chen, Yue Zhou, Maolin Ding, Yu Wang, Zhixiang Ren, Yuedong Yang
Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction. Briefings Bioinform. 25 (3) (2024)
Junjie Xie, Sheng Chen, Jinping Lei, Yuedong Yang
DiffDec: Structure-Aware Scaffold Decoration with an End-to-End Diffusion Model. J. Chem. Inf. Model. 64 (7) (2024)
Jiancong Xie, Yi Wang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph. J. Chem. Inf. Model. 64 (6) (2024)
Yuefan Lin, Zixiang Pan, Yuansong Zeng, Yuedong Yang, Zhiming Dai
Detecting novel cell type in single-cell chromatin accessibility data via open-set domain adaptation. Briefings Bioinform. 25 (5) (2024)
Yidong Song, Qianmu Yuan, Sheng Chen, Ken Chen, Yaoqi Zhou, Yuedong Yang
Fast and accurate protein intrinsic disorder prediction by using a pretrained language model. Briefings Bioinform. 24 (4) (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. CoRR (2023)
Bailing Zhou, Maolin Ding, Jing Feng, Baohua Ji, Pingping Huang, Junye Zhang, Xue Yu, Zanxia Cao, Yuedong Yang, Yaoqi Zhou, Jihua Wang
EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning. Briefings Bioinform. 24 (1) (2023)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML (2023)
Hegang Chen, Yuyin Lu, Yuedong Yang, Yanghui Rao
A Drug Combination Prediction Framework Based on Graph Convolutional Network and Heterogeneous Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
Retrieval-based Knowledge Augmented Vision Language Pre-training. CoRR (2023)
Zihui Xue, Yuedong Yang, Radu Marculescu
SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning. IEEE Trans. Computers 72 (11) (2023)
Fudan Zheng, Yuedong Yang, Tianxin Lin, Shaoxu Wu, Yong Li, Yutong Lu, Ying Song, Zhiguang Chen, Huiying Zhao
Accurately Identifying Muscle-Invasive Bladder Cancer from MRI via Weakly Supervised Learning. BIBM (2023)
Yidong Song, Qianmu Yuan, Huiying Zhao, Yuedong Yang
Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures. Briefings Bioinform. 24 (6) (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR (2023)
Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR (2023)
Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR (2023)
Yuedong Yang, Guihong Li, Radu Marculescu
Efficient On-device Training via Gradient Filtering. CoRR (2023)
Siying Lin, Haoyang Zhang, Mengling Qi, David N. Cooper, Yuedong Yang, Yuanhao Yang, Huiying Zhao
Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization. NeuroImage 279 (2023)
Yuedong Yang, Guihong Li, Radu Marculescu
Efficient On-Device Training via Gradient Filtering. CVPR (2023)
Yuansong Zeng, Rui Yin, Mai Luo, Jianing Chen, Zixiang Pan, Yutong Lu, Weijiang Yu, Yuedong Yang
Identifying spatial domain by adapting transcriptomics with histology through contrastive learning. Briefings Bioinform. 24 (2) (2023)
Zhiguang Fan, Yuedong Yang, Mingyuan Xu, Hongming Chen
Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction. CoRR (2023)
Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. NeurIPS (2023)
Fudan Zheng, Luhao Wang, Yuxian Pang, Zhiguang Chen, Yutong Lu, Yuedong Yang, Jianfeng Wu
ShockSurv: A machine learning model to accurately predict 28-day mortality for septic shock patients in the intensive care unit. Biomed. Signal Process. Control. 86 (Part A) (2023)
Deqin Liu, Sheng Chen, Shuangjia Zheng, Sen Zhang, Yuedong Yang
SE(3) Equivalent Graph Attention Network as an Energy-Based Model for Protein Side Chain Conformation. BIBM (2023)
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Chao Xia, Yanqing Shen, Yuedong Yang, Xiaodong Deng, Shitao Chen, Jingmin Xin, Nanning Zheng
Onboard Sensors-Based Self-Localization for Autonomous Vehicle With Hierarchical Map. IEEE Trans. Cybern. 53 (7) (2023)
Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
Retrieval-based Knowledge Augmented Vision Language Pre-training. ACM Multimedia (2023)
Miles McGibbon, Steven R. Shave, Jie Dong, Yumiao Gao, Douglas R. Houston, Jiancong Xie, Yuedong Yang, Philippe Schwaller, Vincent Blay
From intuition to AI: evolution of small molecule representations in drug discovery. Briefings Bioinform. 25 (1) (2023)
Jiahao Zheng, Yuedong Yang, Zhiming Dai
Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering. Briefings Bioinform. 25 (1) (2023)
Qianmu Yuan, Junjie Xie, Jiancong Xie, Huiying Zhao, Yuedong Yang
Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion. Briefings Bioinform. 24 (3) (2023)
Yuansong Zeng, Zhuoyi Wei, Qianmu Yuan, Sheng Chen, Weijiang Yu, Yutong Lu, Jianzhao Gao, Yuedong Yang
Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model. Bioinform. 39 (4) (2023)
Hua Chai, Long-Yi Guo, Minfan He, Zhongyue Zhang, Yuedong Yang
A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction. ICSI (2) (2022)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI (2022)
Xinfeng Wang, Mengling Qi, Chengzhi Dong, Haoyang Zhang, Yuedong Yang, Huiying Zhao
Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram. BIBM (2022)
Xinfeng Wang, Haoyang Zhang, Xuehao Xiu, Mengling Qi, Yuedong Yang, Huiying Zhao
Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits. BIBM (2022)
Yuansong Zeng, Zhuoyi Wei, Fengqi Zhong, Zixiang Pan, Yutong Lu, Yuedong Yang
A parameter-free deep embedded clustering method for single-cell RNA-seq data. Briefings Bioinform. 23 (5) (2022)
Shuangjia Zheng, Youhai Tan, Zhenyu Wang, Chengtao Li, Zhiqing Zhang, Xu Sang, Hongming Chen, Yuedong Yang
Accelerated rational PROTAC design via deep learning and molecular simulations. Nat. Mac. Intell. 4 (9) (2022)
Yuansong Zeng, Zhuoyi Wei, Weijiang Yu, Rui Yin, Yuchen Yuan, Bingling Li, Zhonghui Tang, Yutong Lu, Yuedong Yang
Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks. Briefings Bioinform. 23 (5) (2022)
Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang
Quantitative evaluation of explainable graph neural networks for molecular property prediction. Patterns 3 (12) (2022)
Zhongyue Zhang, Hua Chai, Yi Wang, Zixiang Pan, Yuedong Yang
Cancer survival prognosis with Deep Bayesian Perturbation Cox Network. Comput. Biol. Medicine 141 (2022)
Yuansong Zeng, Zhuoyi Wei, Zixiang Pan, Yutong Lu, Yuedong Yang
A robust and scalable graph neural network for accurate single-cell classification. Briefings Bioinform. 23 (2) (2022)
Ken Chen, Huiying Zhao, Yuedong Yang
Capturing large genomic contexts for accurately predicting enhancer-promoter interactions. Briefings Bioinform. 23 (2) (2022)
Youhai Tan, Lingxue Dai, Weifeng Huang, Yinfeng Guo, Shuangjia Zheng, Jinping Lei, Hongming Chen, Yuedong Yang
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design. J. Chem. Inf. Model. 62 (23) (2022)
Qianmu Yuan, Sheng Chen, Jiahua Rao, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
AlphaFold2-aware protein-DNA binding site prediction using graph transformer. Briefings Bioinform. 23 (2) (2022)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR (2022)
Zixiang Pan, Yuansong Zeng, Yuefan Lin, Weijiang Yu, Haokun Zhang, Yuedong Yang
A Meta-learning based Graph-Hierarchical Clustering Method for Single Cell RNA-Seq Data. BIBM (2022)
Ziwang Huang, Liang Li, Xiang Zhang, Ying Song, Jianwen Chen, Huiying Zhao, Yutian Chong, Hejun Wu, Yuedong Yang, Jun Shen, Yunfei Zha
A coarse-refine segmentation network for COVID-19 CT images. IET Image Process. 16 (2) (2022)
Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, Chang Wen, Atanas Patronov, Dahong Qian, Hongming Chen, Yuedong Yang
Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction. J. Chem. Inf. Model. 62 (5) (2022)
Sijie Mai, Shuangjia Zheng, Ya Sun, Ying Zeng, Yuedong Yang, Haifeng Hu
Dynamic graph dropout for subgraph-based relation prediction. Knowl. Based Syst. 250 (2022)
Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. CoRR (2022)
Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang
To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Fengqi Zhong, Yuansong Zeng, Yubao Liu, Yuedong Yang
SCdenoise: a reference-based scRNA-seq denoising method using semi-supervised learning. BIBM (2022)
Qianmu Yuan, Sheng Chen, Yu Wang, Huiying Zhao, Yuedong Yang
Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning. Briefings Bioinform. 23 (6) (2022)
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Integrating supercomputing and artificial intelligence for life science. Patterns 3 (12) (2022)
Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning. CoRR (2021)
Haoyang Zhang, Junkang Wei, Zifeng Liu, Xun Liu, Yutian Chong, Yutong Lu, Huiying Zhao, Yuedong Yang
DGAT-onco: A differential analysis method to detect oncogenes by integrating functional information of mutations. BIBM (2021)
Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu
PharmKG: a dedicated knowledge graph benchmark for bomedical data mining. Briefings Bioinform. 22 (4) (2021)
Jianwen Chen, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
Structure-aware protein solubility prediction from sequence through graph convolutional network and predicted contact map. J. Cheminformatics 13 (1) (2021)
Sheng Chen, Sen Zhang, Xiongjun Li, Yubao Liu, Yuedong Yang
SEGEM: a Fast and Accurate Automated Protein Backbone Structure Modeling Method for Cryo-EM. BIBM (2021)
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
Communicative Message Passing for Inductive Relation Reasoning. AAAI (2021)
Shuangjia Zheng, Ying Song, Zhang Pan, Chengtao Li, Le Song, Yuedong Yang
Molecular Attributes Transfer from Non-Parallel Data. CoRR (2021)
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
Learning Attributed Graph Representations with Communicative Message Passing Transformer. CoRR (2021)
Hua Chai, Zhongyue Zhang, Yi Wang, Yuedong Yang
Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network. CCF Trans. High Perform. Comput. 3 (3) (2021)
Yi Wang, Zhongyue Zhang, Hua Chai, Yuedong Yang
Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network. BIBM (2021)
Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Ruixuan Wang, Huiying Zhao, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Hua Chai, Xiang Zhou, Zhongyue Zhang, Jiahua Rao, Huiying Zhao, Yuedong Yang
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. Comput. Biol. Medicine 134 (2021)
Shuangjia Zheng, Zengrong Lei, Haitao Ai, Hongming Chen, Daiguo Deng, Yuedong Yang
Deep scaffold hopping with multimodal transformer neural networks. J. Cheminformatics 13 (1) (2021)
Ziwang Huang, Hua Chai, Ruoqi Wang, Haitao Wang, Yuedong Yang, Hejun Wu
Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images. MICCAI (8) (2021)
Jiahao Wang, Shuangjia Zheng, Jianwen Chen, Yuedong Yang
Meta Learning for Low-Resource Molecular Optimization. J. Chem. Inf. Model. 61 (4) (2021)
Xiang Zhou, Hua Chai, Yuansong Zeng, Huiying Zhao, Yuedong Yang
scAdapt: virtual adversarial domain adaptation network for single cell RNA-seq data classification across platforms and species. Briefings Bioinform. 22 (6) (2021)
Pan Zhang, Shuangjia Zheng, Jianwen Chen, Yaoqi Zhou, Yuedong Yang
DeepANIS: Predicting antibody paratope from concatenated CDR sequences by integrating bidirectional long-short-term memory and transformer neural networks. BIBM (2021)
Qianmu Yuan, Jianwen Chen, Huiying Zhao, Yaoqi Zhou, Yuedong Yang
Structure-aware protein-protein interaction site prediction using deep graph convolutional network. Bioinform. 38 (1) (2021)
Ding Ruan, Shuyi Ji, Chenggang Yan, Junjie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao, Changqing Zou, Qionghai Dai
Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions. Patterns 2 (12) (2021)
Yuedong Yang, Zihui Xue, Radu Marculescu
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices. CoRL (2021)
Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
BioNavi-NP: Biosynthesis Navigator for Natural Products. CoRR (2021)
Bailing Zhou, Baohua Ji, Kui Liu, Guodong Hu, Fei Wang, Qingshuai Chen, Ru Yu, Pingping Huang, Jing Ren, Chengang Guo, Huiying Zhao, Hongmei Zhang, Dongbo Zhao, Zhiwei Li, Qiangcheng Zeng, Jiafeng Yu, Yunqiang Bian, Zanxia Cao, Shicai Xu, Yuedong Yang, Yaoqi Zhou, Jihua Wang
EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments. Nucleic Acids Res. 49 (Database-Issue) (2021)
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
Learning Attributed Graph Representation with Communicative Message Passing Transformer. IJCAI (2021)
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction. CoRR (2021)
Yufeng Cai, Xiongjun Li, Zhe Sun, Yutong Lu, Huiying Zhao, Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yaoqi Zhou, Yuedong Yang
SPOT-Fold: Fragment-Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map. J. Comput. Chem. 41 (8) (2020)
Sheng Chen, Zhe Sun, Lihua Lin, Zifeng Liu, Xun Liu, Yutian Chong, Yutong Lu, Huiying Zhao, Yuedong Yang
To Improve Protein Sequence Profile Prediction through Image Captioning on Pairwise Residue Distance Map. J. Chem. Inf. Model. 60 (1) (2020)
Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu
Communicative Message Passing for Inductive Relation Reasoning. CoRR (2020)
Shuangjia Zheng, Yongjian Li, Sheng Chen, Jun Xu, Yuedong Yang
Predicting drug-protein interaction using quasi-visual question answering system. Nat. Mach. Intell. 2 (2) (2020)
Xuan Lv, Zhiguang Chen, Yutong Lu, Yuedong Yang
An End-to-end Oxford Nanopore Basecaller Using Convolution-augmented Transformer. BIBM (2020)
Yuedong Yang, Chao Xia, Xiaodong Deng, Yanqing Shen, Shitao Chen, Nanning Zheng
HeLPS: Heterogeneous LiDAR-based Positioning System for Autonomous Vehicle. IECON (2020)
Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network. BIBM (2020)
Shuangjia Zheng, Yongjian Li, Sheng Chen, Jun Xu, Yuedong Yang
Publisher Correction: Predicting drug-protein interaction using quasi-visual question answering system. Nat. Mach. Intell. 2 (9) (2020)
Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu, Yuedong Yang
Communicative Representation Learning on Attributed Molecular Graphs. IJCAI (2020)
Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks. J. Chem. Inf. Model. 60 (1) (2020)
Yaobin Ke, Jiahua Rao, Huiying Zhao, Yutong Lu, Nong Xiao, Yuedong Yang
Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting. Bioinform. 36 (17) (2020)
Xuan Lv, Jianwen Chen, Yutong Lu, Zhiguang Chen, Nong Xiao, Yuedong Yang
Accurately Predicting Mutation-Caused Stability Changes from Protein Sequences Using Extreme Gradient Boosting. J. Chem. Inf. Model. 60 (4) (2020)
Jack Hanson, Kuldip K. Paliwal, Thomas Litfin, Yuedong Yang, Yaoqi Zhou
Getting to Know Your Neighbor: Protein Structure Prediction Comes of Age with Contextual Machine Learning. J. Comput. Biol. 27 (5) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yuedong Yang