Yaohang Li

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 93

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

CoRR

Bioinform.

Briefings Bioinform.

Publications

Kai Zheng, Qilong Feng, Yaohang Li, Qichang Zhao, Jinhui Xu, Jianxin Wang
TopoLa: a novel embedding framework for understanding complex networks. CoRR (2024)
Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. 25 (3) (2024)
Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot. CoRR (2024)
Yunpei Xu, Hong-Dong Li, Cui-Xiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang
CellBRF: a feature selection method for single-cell clustering using cell balance and random forest. Bioinform. 39 (Supplement-1) (2023)
Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Bin Wang, Kun Liu, Yaohang Li, Jianxin Wang
DFHiC: a dilated full convolution model to enhance the resolution of Hi-C data. Bioinform. 39 (5) (2023)
Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang
AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Kunying Niu, Yifan Wu, Yaohang Li, Min Li
Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics 143 (2023)
Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings Bioinform. 24 (1) (2023)
Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang
A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang
MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinform. 39 (9) (2023)
Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Manal Almaeen, Yasir Alanazi, Nobuo Sato, W. Melnitchouk, Yaohang Li
Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. ICMLA (2022)
Qichang Zhao, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Min Li, Zhangli Lu, Yifan Wu, Yaohang Li
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38 (7) (2022)
Mengyun Yang, Yaohang Li, Jianxin Wang
Feature and Nuclear Norm Minimization for Matrix Completion. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR (2022)
Andy Ramlatchan, Yaohang Li
Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing. IJCNN (2022)
Zhongjian Cheng, Qichang Zhao, Yaohang Li, Jianxin Wang
IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism. Bioinform. 38 (17) (2022)
Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang
Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22 (2) (2021)
Xiangmao Meng, Wenkai Li, Xiaoqing Peng, Yaohang Li, Min Li
Protein interaction networks: centrality, modularity, dynamics, and applications. Frontiers Comput. Sci. 15 (1) (2021)
Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
A Survey of Machine Learning-Based Physics Event Generation. IJCAI (2021)
Haochen Zhao, Yaohang Li, Jianxin Wang
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals. Bioinform. 37 (18) (2021)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Pawel Ambrozewicz, Florian Hauenstein, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). IJCAI (2021)
Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Kaili Wang, Renyi Zhou, Yaohang Li, Min Li
DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. 22 (5) (2021)
Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang
De Novo Prediction of Drug-Target Interactions Using Laplacian Regularized Schatten p-Norm Minimization. J. Comput. Biol. 28 (7) (2021)
Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, W. Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
A survey of machine learning-based physics event generation. CoRR (2021)
Ivan Makohon, Yaohang Li
Multi-Label Classification of ICD-10 Coding & Clinical Notes Using MIMIC & CodiEsp. BHI (2021)
Manal Almaeen, Yasir Alanazi, Nobuo Sato, W. Melnitchouk, Michelle P. Kuchera, Yaohang Li
Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. IJCNN (2021)
Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang
A novel graph attention model for predicting frequencies of drug-side effects from multi-view data. Briefings Bioinform. 22 (6) (2021)
You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Parallel computing for genome sequence processing. Briefings Bioinform. 22 (5) (2021)
Mengyun Yang, Gaoyan Wu, Qichang Zhao, Yaohang Li, Jianxin Wang
Computational drug repositioning based on multi-similarities bilinear matrix factorization. Briefings Bioinform. 22 (4) (2021)
Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li
cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. ICMLA (2020)
Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Haochen Zhao, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang
A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code. BIBM (2020)
Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Hao Ji, Michael Mascagni, Yaohang Li
Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification. Monte Carlo Methods Appl. 26 (4) (2020)
Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan
Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36 (4) (2020)
Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. (6) (2020)
Yasir Alanazi, Nobuo Sato, Tianbo Liu, W. Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). CoRR (2020)
Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang
De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization. ISBRA (2020)
Mengyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Overlap matrix completion for predicting drug-associated indications. PLoS Comput. Biol. 15 (12) (2019)
Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. 34 (1) (2019)
Mengyun Yang, Huimin Luo, Yaohang Li, Jianxin Wang
Drug repositioning based on bounded nuclear norm regularization. Bioinform. 35 (14) (2019)
Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. (16) (2019)
Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Qichang Zhao, Fen Xiao, Mengyun Yang, Yaohang Li, Jianxin Wang
AttentionDTA: prediction of drug-target binding affinity using attention model. BIBM (2019)
Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. 2 (4) (2019)
Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM (2019)
Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang
Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM (2018)
Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang
Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. 34 (19) (2018)
Xu Feng, Wenjian Yu, Yaohang Li
Faster Matrix Completion Using Randomized SVD. CoRR (2018)
Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM (2018)
Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA (2018)
Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang Li
A survey of matrix completion methods for recommendation systems. Big Data Min. Anal. 1 (4) (2018)
Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) (2018)
Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang
Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. 34 (11) (2018)
Xu Feng, Wenjian Yu, Yaohang Li
Faster Matrix Completion Using Randomized SVD. ICTAI (2018)
Wenjian Yu, Yu Gu, Yaohang Li
Efficient Randomized Algorithms for the Fixed-Precision Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. 39 (3) (2018)
Hao Ji, Michael Mascagni, Yaohang Li
Gaussian Variant of Freivalds' Algorithm for Efficient and Reliable Matrix Product Verification. CoRR (2017)
Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
Single-Pass PCA of Large High-Dimensional Data. CoRR (2017)
Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu
Relating Diseases Based on Disease Module Theory. ISBRA (2017)
Hao Ji, Yaohang Li
Block Conjugate Gradient algorithms for least squares problems. J. Comput. Appl. Math. 317 (2017)
Yaohang Li, Ravi Mukkamala, Michael Mascagni
Validating the Correctness of Outsourced Computational Tasks Using Pseudorandom Number Generators. DASC/PiCom/DataCom/CyberSciTech (2017)
Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
Single-Pass PCA of Large High-Dimensional Data. IJCAI (2017)
Yihao Liang, Xiangjun Xing, Yaohang Li
A GPU-based large-scale Monte Carlo simulation method for systems with long-range interactions. J. Comput. Phys. 338 (2017)
Yaohang Li, Wenjian Yu
A Fast Implementation of Singular Value Thresholding Algorithm using Recycling Rank Revealing Randomized Singular Value Decomposition. CoRR (2017)
Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm. ISBRA (2017)
Jui-Long Hung, Morgan C. Wang, Shuyan Wang, Maha M. Abdelrasoul, Yaohang Li, Wu He
Identifying At-Risk Students for Early Interventions - A Time-Series Clustering Approach. IEEE Trans. Emerg. Top. Comput. 5 (1) (2017)
Hao Ji, Yaohang Li, Seth H. Weinberg
Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Andrew Dinh, Daniel Brill, Yaohang Li, Wu He
Malware Sequence Alignment. BDCloud-SocialCom-SustainCom (2016)
Yu Gu, Wenjian Yu, Yaohang Li
Efficient randomized algorithms for adaptive low-rank factorizations of large matrices. CoRR (2016)
Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinform. 17 (S-8) (2016)
Maha M. Abdelrasoul, Yaohang Li
Coarse-Grained Contact Potential Helps Improve Fold Recognition Sensitivity in Template-Based Protein Structure Modeling. BDCloud-SocialCom-SustainCom (2016)
Hao Ji, Seth H. Weinberg, Yaohang Li
A Revisit of Block Power Methods for Finite State Markov Chain Applications. CoRR (2016)
Hao Ji, Seth H. Weinberg, Min Li, Jianxin Wang, Yaohang Li
An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. BDCloud-SocialCom-SustainCom (2016)
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206 (2016)
José Ramón López-Blanco, Alejandro Jesús Canosa-Valls, Yaohang Li, Pablo Chacón
RCD+: Fast loop modeling server. Nucleic Acids Res. 44 (Webserver-Issue) (2016)
Yu Liang, Dalei Wu, Guirong Liu, Yaohang Li, Cuilan Gao, Zhongguo John Ma, Weidong Wu
. Digit. Commun. Networks 2 (3) (2016)
Hao Ji, Wenjian Yu, Yaohang Li
A Rank Revealing Randomized Singular Value Decomposition (R3SVD) Algorithm for Low-rank Matrix Approximations. CoRR (2016)
Wessam Elhefnawy, Jesse Wright, Kumara Kallepalli, Kevin Racheal, Ajay Gupta, Rohit Parimi, Parth Shah, Yaohang Li
What Differentiates News Articles with Short and Long Shelf Lives? A Case Study on News Articles at Bloomberg.com. BDCloud-SocialCom-SustainCom (2016)
Ashraf Yaseen, Hao Ji, Yaohang Li
A load-balancing workload distribution scheme for three-body interaction computation on Graphics Processing Units (GPU). J. Parallel Distributed Comput. 87 (2016)
Wu He, Ashish Kshirsagar, Alexander C. Nwala, Yaohang Li
Using Workflow Technology to Create Scenario-based Workflows for Information Security Education: Scenario-based Workflows (Abstract Only). SIGCSE (2015)
Wu He, Xin Tian, Jiancheng Shen, Yaohang Li
Understanding Mobile Banking Applications' Security risks through Blog Mining and the Workflow Technology. ICIS (2015)
Hao Ji, Yaohang Li, Seth H. Weinberg
Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. ISBRA (2015)
Wu He, Jiancheng Shen, Xin Tian, Yaohang Li, Vasudeva Akula, Gongjun Yan, Ran Tao
Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world. Ind. Manag. Data Syst. 115 (9) (2015)
Hao Ji, Masha Sosonkina, Yaohang Li
An implementation of block conjugate gradient algorithm on CPU-GPU processors. Co-HPC@SC (2014)
Wu He, Ashish Kshirsagar, Alexander C. Nwala, Yaohang Li
Teaching Information Security with Workflow Technology: A Case Study Approach. J. Inf. Syst. Educ. 25 (3) (2014)
Ashraf Yaseen, Yaohang Li
Template-based C8-SCORPION: a protein 8-state secondary structure prediction method using structural information and context-based features. BMC Bioinform. 15 (S-8) (2014)

Yaohang Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yaohang Li