Yaohang Li - RankMe

156 papers A* 3A 2B 7C 4Misc 8Journal 94Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CATH-ddG: towards robust mutation effect prediction on protein-protein interactions out of CATH homologous superfamily. Bioinform. Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang
2025	—	`conf`	Can Language Models Reason About ICD Codes to Guide the Generation of Clinical Notes? ICCABS Ivan Makohon, Jian Wu, Bintao Feng, Yaohang Li
2025	J	`jnl`	Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4. CoRR Ivan Makohon, Mohamad Najafi, Jian Wu, Mathias Brochhausen, Yaohang Li
2025	J	`jnl`	LRTM: Left-Right Transition Matrices for Molecular Association Prediction. IEEE Trans. Comput. Biol. Bioinform. Kai Zheng, Guihua Duan, Mengyun Yang, Wei Wu, Yaohang Li, Jian-Xin Wang
2025	B	`conf`	Towards an Event-Level Analysis in Hadronic Physics Using Generative AI-Based Surrogates. ICTAI Tareq Alghamdi, Jitao Xu, Nesar Ramachandra, Nobuo Sato, Yaohang Li
2024	—	`conf`	BenchLMM: Benchmarking Cross-Style Visual Capability of Large Multimodal Models. ECCV (50) Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, Alex C. Kot
2024	J	`jnl`	Identifying new cancer genes based on the integration of annotated gene sets via hypergraph neural networks. Bioinform. Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang
2024	J	`jnl`	MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot. CoRR Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen
2024	J	`jnl`	TopoLa: a novel embedding framework for understanding complex networks. CoRR Kai Zheng, Qilong Feng, Yaohang Li, Qichang Zhao, Jinhui Xu, Jianxin Wang
2024	J	`jnl`	TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
2024	B	`conf`	Unfolding Particle Detector Acceptance in High Energy Physics with Generative AI. ICTAI Tareq Alghamdi, Tommaso Vittorini, Marco Spreafico, Marco Battaglieri, Nobuo Sato, Yaohang Li
2023	J	`jnl`	A Comparison of Topologically Associating Domain Callers Based on Hi-C Data. IEEE ACM Trans. Comput. Biol. Bioinform. Kun Liu, Hong-Dong Li, Yaohang Li, Jun Wang, Jianxin Wang
2023	J	`jnl`	A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li
2023	J	`jnl`	AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism. IEEE ACM Trans. Comput. Biol. Bioinform. Qichang Zhao, Guihua Duan, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang
2023	J	`jnl`	CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings Bioinform. Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang
2023	J	`jnl`	CellBRF: a feature selection method for single-cell clustering using cell balance and random forest. Bioinform. Yunpei Xu, Hong-Dong Li, Cui-Xiang Lin, Ruiqing Zheng, Yaohang Li, Jinhui Xu, Jianxin Wang
2023	J	`jnl`	DFHiC: a dilated full convolution model to enhance the resolution of Hi-C data. Bioinform. Bin Wang, Kun Liu, Yaohang Li, Jianxin Wang
2023	J	`jnl`	GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Qichang Zhao, Guihua Duan, Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang
2023	J	`jnl`	MSDRP: a deep learning model based on multisource data for predicting drug response. Bioinform. Haochen Zhao, Xiaoyu Zhang, Qichang Zhao, Yaohang Li, Jianxin Wang
2023	J	`jnl`	RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association. IEEE ACM Trans. Comput. Biol. Bioinform. Haochen Zhao, Guihua Duan, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang
2023	J	`jnl`	Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics Kunying Niu, Yifan Wu, Yaohang Li, Min Li
2022	J	`jnl`	A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li
2022	J	`jnl`	Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li
2022	J	`jnl`	BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. Min Li, Zhangli Lu, Yifan Wu, Yaohang Li
2022	J	`jnl`	Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations. IEEE ACM Trans. Comput. Biol. Bioinform. Qichang Zhao, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang
2022	J	`jnl`	Feature and Nuclear Norm Minimization for Matrix Completion. IEEE Trans. Knowl. Data Eng. Mengyun Yang, Yaohang Li, Jianxin Wang
2022	J	`jnl`	IIFDTI: predicting drug-target interactions through interactive and independent features based on attention mechanism. Bioinform. Zhongjian Cheng, Qichang Zhao, Yaohang Li, Jianxin Wang
2022	B	`conf`	Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing. IJCNN Andy Ramlatchan, Yaohang Li
2022	C	`conf`	Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis. ICMLA Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Yaohang Li
2022	J	`jnl`	TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
2021	J	`jnl`	A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li
2021	J	`jnl`	A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2021	A*	`conf`	A Survey of Machine Learning-Based Physics Event Generation. IJCAI Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
2021	J	`jnl`	A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals. Bioinform. Haochen Zhao, Yaohang Li, Jianxin Wang
2021	J	`jnl`	A novel graph attention model for predicting frequencies of drug-side effects from multi-view data. Briefings Bioinform. Haochen Zhao, Kai Zheng, Yaohang Li, Jianxin Wang
2021	J	`jnl`	A survey of machine learning-based physics event generation. CoRR Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid N. Hiller Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li
2021	J	`jnl`	Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang
2021	J	`jnl`	Computational drug repositioning based on multi-similarities bilinear matrix factorization. Briefings Bioinform. Mengyun Yang, Gaoyan Wu, Qichang Zhao, Yaohang Li, Jianxin Wang
2021	J	`jnl`	DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2021	J	`jnl`	De Novo Prediction of Drug-Target Interactions Using Laplacian Regularized Schatten p-Norm Minimization. J. Comput. Biol. Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang
2021	J	`jnl`	DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. Kaili Wang, Renyi Zhou, Yaohang Li, Min Li
2021	—	`ed.`	IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Houston, TX, USA, December 9-12, 2021 BIBM Yufei Huang, Lukasz A. Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward R. Dougherty, Andrzej Kloczkowski, Yaohang Li
2021	—	`conf`	Multi-Label Classification of ICD-10 Coding & Clinical Notes Using MIMIC & CodiEsp. BHI Ivan Makohon, Yaohang Li
2021	J	`jnl`	Parallel computing for genome sequence processing. Briefings Bioinform. You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2021	J	`jnl`	Protein interaction networks: centrality, modularity, dynamics, and applications. Frontiers Comput. Sci. Xiangmao Meng, Wenkai Li, Xiaoqing Peng, Yaohang Li, Min Li
2021	A*	`conf`	Simulation of Electron-Proton Scattering Events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). IJCAI 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
2021	B	`conf`	Variational Autoencoder Inverse Mapper: An End-to-End Deep Learning Framework for Inverse Problems. IJCNN Manal Almaeen, Yasir Alanazi, Nobuo Sato, Wally Melnitchouk, Michelle P. Kuchera, Yaohang Li
2020	—	`conf`	A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code. BIBM Haochen Zhao, Peng Ni, Cheng Yan, Yaohang Li, Jianxin Wang
2020	J	`jnl`	CLPred: a sequence-based protein crystallization predictor using BLSTM neural network. Bioinform. Wenjing Xuan, Ning Liu, Neng Huang, Yaohang Li, Jianxin Wang
2020	J	`jnl`	Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan
2020	—	`conf`	De novo Prediction of Drug-Target Interaction via Laplacian Regularized Schatten-p Norm Minimization. ISBRA Gaoyan Wu, Mengyun Yang, Yaohang Li, Jianxin Wang
2020	J	`jnl`	DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
2020	J	`jnl`	Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification. Monte Carlo Methods Appl. Hao Ji, Michael Mascagni, Yaohang Li
2020	J	`jnl`	Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2020	J	`jnl`	Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
2020	J	`jnl`	Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). CoRR Yasir Alanazi, Nobuo Sato, Tianbo Liu, Wally Melnitchouk, Michelle P. Kuchera, Evan Pritchard, Michael Robertson, Ryan R. Strauss, Luisa Velasco, Yaohang Li
2020	J	`jnl`	United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan
2020	C	`conf`	cFAT-GAN: Conditional Simulation of Electron-Proton Scattering Events with Variate Beam Energies by a Feature Augmented and Transformed Generative Adversarial Network. ICMLA Luisa Velasco, Evan McClellan, Nobuo Sato, Pawel Ambrozewicz, Tianbo Liu, Wally Melnitchouk, Michelle P. Kuchera, Yasir Alanazi, Yaohang Li
2020	J	`jnl`	miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang
2019	—	`conf`	AttentionDTA: prediction of drug-target binding affinity using attention model. BIBM Qichang Zhao, Fen Xiao, Mengyun Yang, Yaohang Li, Jianxin Wang
2019	J	`jnl`	Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
2019	J	`jnl`	Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
2019	J	`jnl`	Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
2019	J	`jnl`	DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
2019	J	`jnl`	Drug repositioning based on bounded nuclear norm regularization. Bioinform. Mengyun Yang, Huimin Luo, Yaohang Li, Jianxin Wang
2019	—	`conf`	LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
2019	J	`jnl`	MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Overlap matrix completion for predicting drug-associated indications. PLoS Comput. Biol. Mengyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2018	—	`conf`	A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan
2018	J	`jnl`	A survey of matrix completion methods for recommendation systems. Big Data Min. Anal. Andy Ramlatchan, Mengyun Yang, Quan Liu, Min Li, Jianxin Wang, Yaohang Li
2018	J	`jnl`	Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang
2018	—	`conf`	Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang
2018	J	`jnl`	Efficient Randomized Algorithms for the Fixed-Precision Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. Wenjian Yu, Yu Gu, Yaohang Li
2018	B	`conf`	Faster Matrix Completion Using Randomized SVD. ICTAI Xu Feng, Wenjian Yu, Yaohang Li
2018	J	`jnl`	Faster Matrix Completion Using Randomized SVD. CoRR Xu Feng, Wenjian Yu, Yaohang Li
2018	—	`conf`	PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li
2018	J	`jnl`	Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang
2018	—	`conf`	Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
2017	J	`jnl`	A Fast Implementation of Singular Value Thresholding Algorithm using Recycling Rank Revealing Randomized Singular Value Decomposition. CoRR Yaohang Li, Wenjian Yu
2017	J	`jnl`	A GPU-based large-scale Monte Carlo simulation method for systems with long-range interactions. J. Comput. Phys. Yihao Liang, Xiangjun Xing, Yaohang Li
2017	J	`jnl`	Block Conjugate Gradient algorithms for least squares problems. J. Comput. Appl. Math. Hao Ji, Yaohang Li
2017	J	`jnl`	Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. IEEE ACM Trans. Comput. Biol. Bioinform. Hao Ji, Yaohang Li, Seth H. Weinberg
2017	—	`conf`	Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm. ISBRA Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
2017	J	`jnl`	Gaussian Variant of Freivalds' Algorithm for Efficient and Reliable Matrix Product Verification. CoRR Hao Ji, Michael Mascagni, Yaohang Li
2017	J	`jnl`	Identifying At-Risk Students for Early Interventions - A Time-Series Clustering Approach. IEEE Trans. Emerg. Top. Comput. Jui-Long Hung, Morgan C. Wang, Shuyan Wang, Maha M. Abdelrasoul, Yaohang Li, Wu He
2017	—	`conf`	Relating Diseases Based on Disease Module Theory. ISBRA Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu
2017	A*	`conf`	Single-Pass PCA of Large High-Dimensional Data. IJCAI Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
2017	J	`jnl`	Single-Pass PCA of Large High-Dimensional Data. CoRR Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
2017	—	`conf`	Validating the Correctness of Outsourced Computational Tasks Using Pseudorandom Number Generators. DASC/PiCom/DataCom/CyberSciTech Yaohang Li, Ravi Mukkamala, Michael Mascagni
2016	J	`jnl`	A Rank Revealing Randomized Singular Value Decomposition (R3SVD) Algorithm for Low-rank Matrix Approximations. CoRR Hao Ji, Wenjian Yu, Yaohang Li
2016	J	`jnl`	A Revisit of Block Power Methods for Finite State Markov Chain Applications. CoRR Hao Ji, Seth H. Weinberg, Yaohang Li
2016	J	`jnl`	A load-balancing workload distribution scheme for three-body interaction computation on Graphics Processing Units (GPU). J. Parallel Distributed Comput. Ashraf Yaseen, Hao Ji, Yaohang Li
2016	—	`conf`	An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. BDCloud-SocialCom-SustainCom Hao Ji, Seth H. Weinberg, Min Li, Jianxin Wang, Yaohang Li
2016	J	`jnl`	Big data-enabled multiscale serviceability analysis for aging bridges Digit. Commun. Networks Yu Liang, Dalei Wu, Guirong Liu, Yaohang Li, Cuilan Gao, Zhongguo John Ma, Weidong Wu
2016	—	`conf`	Coarse-Grained Contact Potential Helps Improve Fold Recognition Sensitivity in Template-Based Protein Structure Modeling. BDCloud-SocialCom-SustainCom Maha M. Abdelrasoul, Yaohang Li
2016	J	`jnl`	Efficient randomized algorithms for adaptive low-rank factorizations of large matrices. CoRR Yu Gu, Wenjian Yu, Yaohang Li
2016	J	`jnl`	FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinform. Ashraf Yaseen, Mais Nijim, Brandon Williams, Lei Qian, Min Li, Jianxin Wang, Yaohang Li
2016	—	`conf`	Malware Sequence Alignment. BDCloud-SocialCom-SustainCom Andrew Dinh, Daniel Brill, Yaohang Li, Wu He
2016	J	`jnl`	Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
2016	J	`jnl`	RCD+: Fast loop modeling server. Nucleic Acids Res. José Ramón López-Blanco, Alejandro Jesús Canosa-Valls, Yaohang Li, Pablo Chacón
2016	—	`conf`	What Differentiates News Articles with Short and Long Shelf Lives? A Case Study on News Articles at Bloomberg.com. BDCloud-SocialCom-SustainCom Wessam Elhefnawy, Jesse Wright, Kumara Kallepalli, Kevin Racheal, Ajay Gupta, Rohit Parimi, Parth Shah, Yaohang Li
2015	—	`ed.`	Bioinformatics Research and Applications - 11th International Symposium, ISBRA 2015, Norfolk, VA, USA, June 7-10, 2015 Proceedings ISBRA Robert W. Harrison, Yaohang Li, Ion I. Mandoiu
2015	—	`conf`	Calcium Ion Fluctuations Alter Channel Gating in a Stochastic Luminal Calcium Release Site Model. ISBRA Hao Ji, Yaohang Li, Seth H. Weinberg
2015	J	`jnl`	Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world. Ind. Manag. Data Syst. Wu He, Jiancheng Shen, Xin Tian, Yaohang Li, Vasudeva Akula, Gongjun Yan, Ran Tao
2015	C	`conf`	Understanding Mobile Banking Applications' Security risks through Blog Mining and the Workflow Technology. ICIS Wu He, Xin Tian, Jiancheng Shen, Yaohang Li
2015	A	`conf`	Using Workflow Technology to Create Scenario-based Workflows for Information Security Education: Scenario-based Workflows (Abstract Only). SIGCSE Wu He, Ashish Kshirsagar, Alexander C. Nwala, Yaohang Li
2014	—	`conf`	An implementation of block conjugate gradient algorithm on CPU-GPU processors. Co-HPC@SC Hao Ji, Masha Sosonkina, Yaohang Li
2014	J	`jnl`	Context-Based Features Enhance Protein Secondary Structure Prediction Accuracy. J. Chem. Inf. Model. Ashraf Yaseen, Yaohang Li
2014	J	`jnl`	Teaching Information Security with Workflow Technology: A Case Study Approach. J. Inf. Syst. Educ. Wu He, Ashish Kshirsagar, Alexander C. Nwala, Yaohang Li
2014	J	`jnl`	Template-based C8-SCORPION: a protein 8-state secondary structure prediction method using structural information and context-based features. BMC Bioinform. Ashraf Yaseen, Yaohang Li
2013	—	`conf`	An improved statistics-based backbone torsion potential energy for protein loop structure modeling. ICCABS Ionel Rata, Kyle Wessells, Yaohang Li
2013	J	`jnl`	Building a Knowledge-Based Statistical Potential by Capturing High-Order Inter-residue Interactions and its Applications in Protein Secondary Structure Assessment. J. Chem. Inf. Model. Yaohang Li, Hui Liu, Ionel Rata, Eric Jakobsson
2013	J	`jnl`	Convergence Analysis of Markov Chain Monte Carlo Linear Solvers Using Ulam-von Neumann Algorithm. SIAM J. Numer. Anal. Hao Ji, Michael Mascagni, Yaohang Li
2013	J	`jnl`	Dinosolve: a protein disulfide bonding prediction server using context-based features to enhance prediction accuracy. BMC Bioinform. Ashraf Yaseen, Yaohang Li
2013	J	`jnl`	High-dimensional MRI data analysis using a large-scale manifold learning approach. Mach. Vis. Appl. Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J. Kumar, Frederic D. McKenzie, Yaohang Li, Jiang Li
2013	—	`conf`	Template-based prediction of protein 8-state secondary structures. ICCABS Ashraf Yaseen, Yaohang Li
2012	J	`jnl`	Accelerating knowledge-based energy evaluation in protein structure modeling with Graphics Processing Units. J. Parallel Distributed Comput. Ashraf Yaseen, Yaohang Li
2012	J	`jnl`	MOMCMC: An efficient Monte Carlo method for multi-objective sampling over real parameter space. Comput. Math. Appl. Yaohang Li
2012	Misc	`conf`	Reusing Random Walks in Monte Carlo Methods for Linear Systems. ICCS Hao Ji, Yaohang Li
2011	—	`conf`	A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. MLMI Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li
2011	J	`jnl`	DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture. New Gener. Comput. Weihang Zhu, Ashraf Yaseen, Yaohang Li
2011	J	`jnl`	Sampling Multiple Scoring Functions Can Improve Protein Loop Structure Prediction Accuracy. J. Chem. Inf. Model. Yaohang Li, Ionel Rata, Eric Jakobsson
2010	—	`conf`	GPU-accelerated differential evolutionary Markov Chain Monte Carlo method for multi-objective optimization over continuous space. BADS@ICAC Weihang Zhu, Yaohang Li
2010	—	`conf`	GPU-accelerated multi-scoring functions protein loop structure sampling. IPDPS Workshops Yaohang Li, Weihang Zhu
2010	C	`conf`	Integrating multiple scoring functions to improve protein loop structure conformation space sampling. CIBCB Yaohang Li, Ionel Rata, Eric Jakobsson
2010	—	`conf`	Study of Computing Consolidation Techniques in Computational Protein Loop Structure Modeling. BICoB Yaohang Li, Douglas Wardell
2009	—	`conf`	A Population-Based Approach for Diversified Protein Loop Structure Sampling. ICCS (1) Yaohang Li
2009	J	`jnl`	A decentralized parallel implementation for parallel tempering algorithm. Parallel Comput. Yaohang Li, Michael Mascagni, Andrey Gorin
2009	J	`jnl`	Hybrid parallel tempering and simulated annealing method. Appl. Math. Comput. Yaohang Li, Vladimir A. Protopopescu, Nikita Arnold, Xinyu Zhang, Andrey Gorin
2009	—	`conf`	Minkowski Functionals Study of Random Number Sequences. ICCS (1) Xinyu Zhang, Seth E. Watts, Yaohang Li, Daniel A. Tortorelli
2009	A	`conf`	Resource-efficient computing paradigm for computational protein modeling applications. IPDPS Yaohang Li, Douglas Wardell, Vincent W. Freeh
2008	Misc	`conf`	A Sensor Information Framework for Integrating and Orchestrating Distributed Sensor Services. PDPTA Yaohang Li, Albert C. Esterline, Cheickna Baber, Kawana Fuller, Michael Burns, Tracy Hansen, Thomas LeFebvre, MarySue Schultz, Mark Govett, Paul Hamer, Ashvin Mysore
2008	J	`jnl`	An adaptive and trustworthy software testing framework on the grid. J. Supercomput. Yaohang Li, Yong-Duan Song
2008	—	`ch.`	Teaching Operating Systems Using Visualization: A Comparative Study. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education Xiaohong Yuan, Barbara T. Pioro, Ricky Archer, Yaohang Li
2007	—	`conf`	Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG. ICCSA (3) Yaohang Li, Michael Mascagni, Andrey Gorin
2007	Misc	`conf`	Efficient Parallel Implementation of Evolutionary Markov Chain Monte Carlo. PDPTA Yaohang Li, Jason Clark, Kenneth W. Williams, Christopher Doss, Yong-Duan Song
2007	J	`jnl`	Trustworthy remote compiling services for grid-based scientific applications. J. Supercomput. Yaohang Li, Daniel Chen, Xiaohong Yuan
2007	—	`conf`	Using packet sniffer simulator in the class: experience and evaluation. ACM Southeast Regional Conference Xiaohong Yuan, Percy Vega, Jinsheng Xu, Huiming Yu, Yaohang Li
2006	Misc	`conf`	Large-scale software unit testing on the grid. GrC Yaohang Li, Tao Dong, Xinyu Zhang, Yong-Duan Song, Xiaohong Yuan
2006	Misc	`conf`	Using Grid Computing for Distributed Software Testing. PDPTA Yong-Duan Song, Tao Dong, Yaohang Li
2005	—	`conf`	A Personal Software Process Tool for Eclipse Environment. Software Engineering Research and Practice Xiaohong Yuan, Percy Vega, Huiming Yu, Yaohang Li
2005	J	`jnl`	Grid-based Quasi-Monte Carlo Applications. Monte Carlo Methods Appl. Yaohang Li, Michael Mascagni
2005	—	`ch.`	Parallel tempering in Rosetta Practice. Advances in Bioinformatics and Its Applications Yaohang Li, Charlie E. M. Strauss, Andrey Gorin
2005	Misc	`conf`	Path Planning for Unmanned Vehicles Using Ant Colony Optimization on a Dynamic Voronoi Diagram. IC-AI Yaohang Li, Tao Dong, Marwan Bikdash, Yong-Duan Song
2005	Misc	`conf`	Secure Remote Compiling Services on the Grid. PDPTA Yaohang Li, Daniel Tsu-Tang Chen, Xiaohong Yuan, Huiming Yu, Albert C. Esterline
2004	J	`jnl`	A Grid Workflow-based Monte Carlo Simultation Environment. Neural Parallel Sci. Comput. Yaohang Li, Michael Mascagni, Robert A. van Engelen, Qin Cai
2004	—	`conf`	Bio-inspired Fault Tolerant and Adaptive System Modeling and Simulation on the Grid. CCCT (1) Yaohang Li, Yongduan Song
2003	J	`jnl`	Analysis of Large-Scale Grid-Based Monte Carlo Applications. Int. J. High Perform. Comput. Appl. Yaohang Li, Michael Mascagni
2003	—	`conf`	Computational Infrastructure for Parallel, Distributed, and Grid-Based Monte Carlo Computations. LSSC Michael Mascagni, Yaohang Li
2003	Misc	`conf`	GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications. PDPTA Yaohang Li, Michael Mascagni, Robert van Engelen
2003	B	`conf`	Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems. CCGRID Yaohang Li, Michael Mascagni, Michael H. Peter
2003	B	`conf`	Improving Performance via Computational Replication on a Large-Scale Computational Grid. CCGRID Yaohang Li, Michael Mascagni
2002	—	`conf`	Grid-Based Monte Carlo Application. GRID Yaohang Li, Michael Mascagni
2001	J	`jnl`	A Quasi-Monte Carlo Method for Elliptic Boundary Value Problems. Monte Carlo Methods Appl. Michael Mascagni, Aneta Karaivanova, Yaohang Li