IEEE BIBM 2019 Accepted Papers

Regular Papers

Paper ID	Authors & Paper Title
B214	Wei Zhong, Zhongping Cao, Xuemei Guo, and Guoli Wang, A Novel Framework for Maternal ECG Removal from Single-Channel Abdominal Recording
B225	Jie Li, Zhun Zhao, Li Zhou, and Yadong Wang, Y-SPCR: A new dimensionality reduction method for gene expression data classification
B238	Zhaolin Hong, Lvxing Zhu, and Haoran Zheng, Predicting gene-disease associations via graph embedding and graph convolutional networks
B242	Xingyi Li, Ju Xiang, Fang-Xiang Wu, and Min Li, DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis
B243	Fei Liu, Ena Yamamoto, Katsunobu Shirahama, Tsubasa Saitoh, Shuhei Aoyama, Yumiko Harada, Ryutaro Murakami, and Hiroshi Matsuno, Pattern formation analysis by colored Petri nets with quantitative manipulation of a gene
B248	Sivani Tadepalli, Nasrin Akhter, Daniel Barbara, and Amarda Shehu, Identifying Near-Native Protein Structures via Anomaly Detection
B250	Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, and Jiawei Han, Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion
B258	Jianrong Wang, Ruixuan Zhang, Xi Wei, Xuewei Li, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, and Ruiguo Yu, An Attention based Semi-supervised Neural Network for Thyroid Nodules Segmentation
B259	Lorenzo Madeddu, Giovanni Stilo, and Paola Velardi, Predicting Disease Genes Using Connectivity and Functional Features
B269	SHIYU LIU, JIA YAO, and Mehul Motani, Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks
B271	Peng yuzhong, Ziqiao Zhang, Qizhi Jiang, Jihong Guan, and Shuigeng Zhou, TOP: towards better toxicity prediction using deep mixed molecular representation learning
B275	Ziling Fan, Kian Ghaffari, Amber Alley, and Habtom Ressom, Metabolite identification using artificial neural network model
B291	min zeng, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, and Min Li, LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques
B298	Guangsheng Wu and Juan Liu, Predicting Drug-disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition
B306	Lu Wang, Dongxiao Zhu, Ming Dong, and Elizabeth Towner, Prioritization of Multi-Level Risk Factors for Obesity
B311	Zoe Moore, Carter Sifferman, Shaniah Tullis, Mengxuan Ma, Rachel Proffitt, and Marjorie Skubic, Depth Sensor-Based In-Home Daily Activity Recognition and Assessment System for Stroke Rehabilitation
B313	Xiaochan Wang, Yuchong Gong, Jing Yi, and Wen Zhang, Predicting gene-disease associations from the heterogeneous network using graph embedding
B320	Xinlei LI, Dawei YANG, Lizhe QI, Fufeng LI, and Wenqiang Zhang, Automatic Tongue Image Segmentation For Real-Time Remote Diagnosis
B322	Viswam Nathan, Md Mahbubur Rahman, Korosh Vatanparvar, Ebrahim Nemati, and Jilong Kuang, Extraction of Voice Parameters from Continuous Running Speech for Pulmonary Disease Monitoring
B323	Jing Hu, Haomin Gan, Xiaolong Zhang, and Nansheng Chen, Identification of protein hot regions by combing structure-based classification, energy-based clustering and sequence-based conservation in evolution
B327	Yuxing Wang, Kaiyin Zhou, Jin-Dong Kim, Kevin Cohen, Mina Gachloo, Yuxin Ren, Shanghui Nie, Xuan Qin, Panzhong Lu, and Jinbo Xia, An Active Gene Annotation Corpus and Its Application on Anti-epilepsy Drug Discovery
B332	Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, and Tingting He, An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention
B337	Rick Wertenbroek and Yann Thoma, Acceleration of the Pair-HMM forward algorithm on FPGA with cloud integration for GATK
B341	Shichao Liu, Ziyang Huang, Yang Qiu, Yi-Ping Phoebe Chen, and Wen Zhang, Structural Network Embedding using Multi-modal Deep Auto-encoders for Predicting Drug-drug Interactions
B343	Hansheng Li, Baosheng Kang, Lei Cui, Yuxin Kang, Feihong Liu , Wenli Hui, Chunbao Wang, Jun Feng, and Lin Yang, Global Bank: A Guided Pathway of Encoding and Decoding for Pathological Image Analysis
B350	Huaqing Li, Haluk Dogan, and Juan Cui, A New Approach to Batch Effect Removal Based on Distribution Matching in Latent Space
B355	Sizhe Li, Jiawei Zhang, Chunyang Ruan, and Yanchun Zhang, Multi-Stage Attention-Unet for Wireless Capsule Endoscopy Image Bleeding Area Segmentation
B361	Sajjad Fouladvand, Michelle Mielke, Maria Vassilaki, Jennifer Sauver, Ronald Petersen, and Sunghwan Sohn, Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records
B364	Fan Yang, Zhongping Yu, Xiaolu Gan, Kaibiao Lin, Quan Zou, and Yifeng Zeng, Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records
B366	Pengshuai Yang, Yupeng Zhai, Lin Li, Hairong Lv, Jigang Wang, Chengzhan Zhu, and Rui Jiang, Liver Histopathological Image Retrieval Based on Deep Metric Learning
B370	Wanlu Zhang, Qigang Wang, and Mei Li, Medical Image Collaborative Training Based on Multi-Blockchain
B380	Han Wang, Yuning Yang, Jiawen Yu, Xi Wang, Pingping Sun, Dawei Zhao, and Dong Xu, DMCTOP: Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network
B381	Yongping Du, Wenyang Guo, and Yiliang Zhao, Hierarchical Question-Aware Context Learning with Augmented Data for Biomedical Question Answering
B388	Jincai Yang, Shunping Ma, and Xingpeng Jiang, LncRNA-disease Association Prediction Based on Autoencoder and Rotation Forest
B397	Ke Wang, Guangyu Wang, Ning Chen, and Ting Chen, How Robust is Your Automatic Diagnosis Model?
B399	Xiang Chen, Fang-Xiang Wu, Jin Chen, and Min Li, DoRC: Discovery of rare cells from ultra-large scRNA-seq data
B403	Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, and Ping He, Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
B409	Yanzhen Xu, Xiaohan Zhao, Shuai Liu, Shichao Liu, Yanqing Niu, Wen Zhang, and Leyi Wei, LncPred-IEL: A Long Non-coding RNA Prediction Method using Iterative Ensemble Learning
B417	Shuang Zhou, Xiang Yue, Xinran Xu, Shichao Liu, Wen Zhang, and Yanqing Niu, LncRNA-miRNA interaction prediction from the heterogeneous network through graph embedding ensemble learning
B422	Ankur Agrawal and Kashifuddin Qazi, A Machine Learning Approach for Quality Assurance of SNOMED CT
B423	Qing Zhu, Chang Han, Qiang Zhu, Tingting He, and Xingpeng Jiang, Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction
B431	Yuwen Chen and Jiangtao Ren, Automatic ICD code assignment utilizing textual descriptions and hierarchical structure of ICD code
B432	Genshen Yan, Shen Liang, Yanchun Zhang, and Fan Liu, Fusing Transformer Model with Temporal Features for ECG Heartbeat Classification
B438	Jie Zeng, Guoxian Yu, Jun Wang, Maozu Guo, and Xiangliang Zhang, DMIL-III: Isoform-isoform interaction prediction using deep multi-instance learning
B440	Shuai Li, Yuting Guo, Wenfeng Song, Zhennan Pang, Bo Zhang, and Hong Qin, Fine-Grained Thyroid Nodule Classification via Multi-Semantic Attention Network
B450	Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, and Yike Guo, Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
B453	Hong Zhang, Fei Ren, Zhonglie Wang, Xiaosong Rao, Li Li, Junbo Hao, Rui Yan, Jiancheng Luo, Ming Du, and Fa Zhang, Predicting Tumor Mutational Burden from Liver Cancer Pathological Images Using Convolutional Neural Network
B455	Xingyu Liao, Xiankai Zhang, Fang-Xiang Wu, and Jianxin Wang, de novo repeat detection based on the third generation sequencing reads
B464	Yuan An, Siling Chen, Nicholas Locantore, Matthew Allinder, Divya Mohan, and Russell Bowler, The Utility of Shapelets for Analyzing Physical Activity of COPD Patients and non-COPD controls
B472	Amine M. Remita and Abdoulaye Baniré Diallo, Statistical Linear Models in Virus Genomic Alignment-free Classification: Application to Hepatitis C Viruses
B480	Jinduo Liu, Junzhong Ji, Liuyi Yao, and Aidong Zhang, Estimating Brain Effective Connectivity in fMRI Data by Non-stationary Dynamic Bayesian Networks
B484	Juncheng Ding and Wei Jin, OverlapLDA: A Generative Approach for Literature-Based Discovery
B493	Lan Huang, Huimin Luo, Fang-Xiang Wu, and Jianxin Wang, Drug and disease similarity calculation platform for drug repositioning
B495	Wei Wang, Qiqige Wuyun, and Kevin Liu, An Application of Random Walk Resampling to Phylogenetic HMM Inference and Learning
B506	Boxin Guan, Yuhai Zhao, Yuan Li, and Ying Yin, Ant Colony Optimization with Self-Evolving Parameter for Detecting Epistatic Interactions
B508	Yuyou Weng, Chen Lin, Xiangxiang Zeng, Xiangrong Liu, Yun Liang, and Hui Li, Drug Target Interaction Prediction using Multi-task Learning and Co-attention
B509	Haohan Wang, Yibing Wei, Mengxin Cao, Min Xu, Wei Wu, and Eric Xing, Deep Inductive Matrix Completion for Biomedical Interaction Prediction
B521	Wenyi Yang and Lei Deng, PNAB: Prediction of protein-nucleic acid binding affinity using heterogeneous ensemble models
B522	Xuezhi Xie, Yuanyuan Han, and Kaizhong Zhang, MHCherryPan, a novel model to predict the bindingaffinity of pan-specific class I HLA-peptide
B532	Hao Fei, Yafeng Ren, and Donghong Ji, Recognizing Nested Named Entity in Biomedical Texts: A Neural Network Model with Multi-Task Learning
B537	Zhe Sun, Shaoliang Peng, Yaning Yang, Xiaoqi Wang, and Fei Li, A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets
B538	Jinxiong lv, Shikui Tu, and Lei Xu, A two-variate phenotype-targeted test for detection of phenotypic biomarkers on breast cancer
B539	Neng Huang, Fan Nie, Peng Ni, Feng Luo, and Jianxin Wang, SACall: a neural network basecaller for Oxford Nanopore sequencing data
B549	Zeming Liu, Chengzhi Hong, Meng Gao, Yi-Ping Phoebe Chen, Wen Zhang, and Feng Liu, Detection of Cell Types from Single-cell RNA-seq Data using Similarity via Kernel Preserving Learning Embedding
B555	Zhenghua Xu, Chang Qi, and Guizhi Xu, Semi-supervised Attention-guided CycleGAN for Data Augmentation in Medical Image
B562	Yanjun Li, Mohammad A. Rezaei, Chenglong Li, and Xiaolin Li, DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
B563	Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, and Jianxin Wang, Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution
B565	Fan Yang, Tanvi Banerjee, Mark Panaggio, Daniel Abrams, and Nirmish Shah, Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data
B566	Zhirui Liao, Ronghui You, Xiaodi Huang, Xiaojun Yao, Tao Huang, and Shanfeng Zhu, DeepDock: Enhancing Ligand-protein Interaction Prediction by a Combination of Ligand and Structure Information
B570	Jiangyue Tang Jiangyue Tang, Ziyu Gan Ziyu Gan, and Xuan Yang Xuan Yang, Cardiac Motion Tracking in Short-axis MRI using Siamese Convolution Network
B574	Jingli Wu, Ke Pan, Kai Zhu, and Qirong Cai, Identifying Common Driver Pathways based on Pan-cancer Data
B577	Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, and Yuanyuan Jia, Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network
B578	Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu, and Jianxin Wang, Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data
B579	Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng, and Yan-Bin Wang, Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information
B582	Lei Deng, Youzhi Liu, Yechuan Shi, and Hui Liu, A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins
B594	Zhilong Lv, Rui Yan, Xinyu Liu, Zhongke Wu, Yicheng Zhu, Shiwei Sun, Fa Zhang, Xingce Wang, and Xiaohua Wan, Cerebrovascular Segmentation Algorithm based on Focused Multi-Gaussians model and weighted 3D Markov Random Field
B599	Lei Deng, Xin sun, and Jingpu Zhang, DKCirc2GO: Predicting Gene Ontology of circRNAs Using Dual KATZ Approach
B616	Jinli Zhang, Xiaohua Hu, Zongli Jiang, Bo Song, and Wei Quan, Predicting Disease-related Associations based on Graph Attention Adversarial Network
B618	Vineetha Menon and Shantia Yarahmadian, Wavelet-Based Compression and Estimation of the N-State Stochastic Microtubule Signal
B626	Xing Hu, Shaoliang Peng, Chengnian Long, and Lijun Wei, vGuard: A Spatio-temporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain
B627	Mengyuan Wang, Huiru Zheng, Haiying Wang, Richard Dewhurst, and Rainer Roehe, A knowledge driven mutual information-based analytical framework for the identification of rumen metabolites
B629	Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, and Meng Jiang, CTGA: Graph-based Biomedical Literature Search
B631	Xin Chen, Xien Liu, and Ji Wu, Drug-drug Interaction Prediction with Graph Representation Learning
B636	Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, and Min Xu, Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms
B638	Omar Ibrahim, James Keller, and Mihail Popescu, An Unsupervised Framework for Detecting Early Signs of Illness in Eldercare
B639	Ashish Pandey, Zhen Lyu, Trupti Joshi, and Prasad Calyam, OnTimeURB: Multi-Cloud Resource Brokering for Bioinformatics Workflows
B645	Artem Shelmanov, Vadim Liventsev, and Dmitry Dylov, Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts
B660	Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang, and Xiaoqing Peng, A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data
B665	Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric Xing, and Min Xu, Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification
B669	Xiao Shou, Georgios Mavroudeas, Alexander New, Kofi Arhin, Jason Kuruzovich, Malik Magdon-Ismail, and Kristin Bennett, Supervised Mixture Models for Population Health
B670	Qichang zhao, Fen Xiao, Mengyun Yang, Yaohang Li, and Jianxin Wang, AttentionDTA: prediction of drug–target binding affinity using attention model
B671	Qi Li and Tijana Milenkovic, Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork
B677	Suganya Chandrababu and Dhundy Bastola, Multi-Stage Probabilistic Bipartite Graph Algorithm - Effect of Herbal Medicines on the Gut Ecosystem
B682	Fei He, Rui Wang, Yanxin Gao, Duolin Wang, Yang Yu, Dong Xu, and Xiaowei Zhao, Protein Ubiquitylation and Sumoylation Site Prediction Based on Ensemble and Transfer Learning
B687	Yidan Zhang, Lei Duan, Huiru Zheng, Jesse Li-Ling, Bin Hu, Ruiqi Qin, and Chengxin He, SCENARIO: Discovery of Similar Aspects for Gene Similarity Explanation from Gene Information Network
B691	Ziying Yang, Guoxian Yu, Jiantao Yu, Maozu Guo, and Jun Wang, CoPath: discovering cooperative driver pathways using greedy mutual exclusivity and bi-clustering
B696	Yue Zhao, Pujan Joshi, and Dong-Guk Shin, Recurrent Neural Network for Gene Regulation Network Construction on Time Series Expression Data
B706	Lingzhi Zhu, Guihua Duan, Cheng Yan, and Jianxin Wang, Prediction of Microbe-Drug Associations Based on KATZ Measure
N205	Jun Chen, Jingbo Zhou, Zhenhui Shi, Bin Fan, and Chengliang Luo, Knowledge Abstraction Matching for Medical Question Answering

Short Papers

Paper ID	Authors & Paper Title
B211	Bo Lu and Xiong-Hui Zhou, Ensemble Classifier based on gene synergistic network improves breast cancer outcome prediction
B217	qing li, Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks
B221	Jianye Zhang and Peng Yin, Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder
B224	Jianyuan Lin, Xiangxiang Zeng, Yun Zuo, and Xiangrong Liu, A Deep Neural Network for Antimicrobial Peptide Recognition
B227	Wenbo Zheng, Shaocong Mo, Xin Jin, and Yili Qu, Forest Representation Learning with Multiscale Contour Feature Learning for Leaf Cultivar Classification
B230	Xiangmao Meng, Xiaoqing Peng, Fang-Xiang Wu, and Min Li, Detecting protein complex based on hierarchical compressing network embedding
B257	Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, and Nathan Jacobs, Joint 2D-3D Breast Cancer Classification
B261	Rishi Saripalle, Representing UMLS knowledge using FHIR Terminological Resources
B263	guang-ri quan and guang-ri quan, An Approximate Alignment Algorithm and Bidirectional Fuzzy Index for Next Generation Sequencing
B268	Yacong Li, Kuanquan Wang, Qince Li, Cunjin Luo, Xiangyun Bai, and Henggui Zhang, Effect of Funny Current’s Properties on Creating Engineered Biological Pacemaker
B270	Qi Niu, Shaoliang Peng, Xiang-li-lan Zhang, Shuai-cheng Li, Xiang-Cheng Xie, and Yi-Gang Tong, LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing
B282	XIWEI TANG, BIHAI ZHAO, and QIU XIAO, A Novel Algorithm for Prioritizing Disease Candidate Genes from the Weighted PPI Network
B284	Wei Peng, Lun Li, Wei Dai, Jielin Du, and Wei Lan, Predicting protein functions through non-negative matrix factorization regularized by protein-protein interaction network and gene functional information
B286	Dongyuan Li and Xiaoke Ma, Nonnegative Matrix Factorization for Dynamic Modules in Cancer Temporal Attribute Networks
B288	Fan Hu, Jiaxin Jiang, and Peng Yin, Interpretable Prediction of Protein-Ligand Interaction by Convolutional Neural Network
B292	Yuanke Zhong, Jing Li, Jie Liu, Yan Zheng, Xuequn Shang, and Jialu Hu, Deep learning enables accurate alignment of single cell RNA-seq data
B294	Abdullah Baihan and Sanguthevar Rajasekaran, Efficient Sequential and Parallel Algorithms for Incremental Record Linkage Using Complete Linkage Clustering
B305	Sahar Tavakoli and Shibu Yooseph, Algorithms for inferring multiple microbial networks
B319	Chenrui Zhang, Xiaoqing Lyu, Yifeng Huang, Zhi Tang, and Zhenming Liu, Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning
B334	Zhangxing Bian, Siyu Xia, Chao Xia, and Ming Shao, Weakly Supervised Vitiligo Segmentation in Skin Image through Saliency Propagation
B338	Chengbin Huang, Weiting Chen, and Guitao Cao, Automatic Epileptic Seizure Detection via Attention-Based CNN-BiRNN
B344	Lei Chen, Hong Song, Qiang Li, Yutao Cui, Jian Yang, and Xiaohua Tony Hu, Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network
B347	Bolin Chen, Manting Yang, Li Gao, and Xuequn Shang, Identifying functional evolution processes according to the pathological stages of colorectal cancer
B349	Chunlei Tang, Zhikun Zhang, Joseph Plasek, Yun Xiong, Min-Jeoung Kang, Patricia Dykes, David Bates, and Li Zhou, Data Reconstruction Based on Temporal Expressions in Clinical Notes
B360	Nasrin Akhter, Raviteja Vangara, Gopinath Chennupati, Boian Alexandrov, Hristo Djidjev, and Amarda Shehu, Non-Negative Matrix Factorization for Selection of Near-Native Protein Tertiary Structures
B367	Xuewei Li, Hongqian Shen, Mei Yu, Xi Wei, Jialin Zhu, Jie Gao, Zhiqiang Liu, Yulin Zhang, and Ruiguo Yu, Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images
B376	Jing Zhu, Zihan Wang, Shuai Zeng, Xiaowei Li, Bin Hu, Xin Zhang, Chen Xia, Lan Zhang, and Zhijie Ding, Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM
B377	Zexiong Liu Zexiong Liu and Xuan Yang Xuan Yang, A Squeeze Convolutional Network For MRI Right Ventricle Segmentation
B384	Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, and Ting Chen, DeepTriager: A Neural Attention Model for Emergency Triage with Electronic Health Records
B385	Xiaohong Liu, Guangyu Wang, Yiming Xu, Ning Chen, and Ting Chen, Bone Age Assessment by Deep Convolutional Neural Networks Combined with Clinical TW3-RUS
B387	Bei Zhao, Yuliang Shi, Kun Zhang, and Zhongmin Yan, Health Insurance Anomaly Detection Based on Dynamic Heterogeneous Information Network
B389	Xiangwen Wang, Yonggang Lu, Zhenyu Lu, Xingcheng Ran, and Jiaxuan Liu, A Weighted Voting Algorithm for Detecting Reliable Common Lines in Single Particle Cryo-EM
B395	Zhe Quan, Yan Guo, Xuan Lin, Zhi-Jie Wang, and Xiangxiang Zeng, GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction
B398	Diana Diaz, Aliccia Bollig-Fisher, and Alexander Kotov, CP Decomposition for Integrative Disease Subtyping
B401	Yongjian Ren, Kun Zhang, and Yuliang Shi, Survival Prediction from Longitudinal Health Insurance Data using Graph Pattern Mining
B413	zhangli lu, yake wang, min zeng, and Min Li, HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding
B416	Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, and Junyuan Xie, Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen
B418	Gaocai Dong, Jingya Yang, Dongdong Zhang, and Jing Peng, A Systematic Framework for Drug Repurposing based on Literature Mining
B439	Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, and Jianmin Wang, Inpatient2Vec: Medical Representation Learning for Inpatients
B442	Chen Yang, Hui Gao, Xuan Yang, Suiyu Huang, Yulong Kan, and Jianxiao Liu, BnBeeEpi: An Approach of Epistasis Mining Based on Artificial Bee Colony Algorithm Optimizing Bayesian Network
B445	Zhichang Zhang and Ruifang Zhang, Combined Self-attention Mechanism For Biomedical Event Trigger Identification
B448	Weidi Wang, Yu Fang, Xue Jiang, Wu Huang, Zhen Wang, and Guan Ning Lin, Varying Mutational Classes Illuminate Differential Genetic Patterns Between Schizophrenia and Bipolar Disorder
B461	Kimia Ameri and Kathryn Cooper, Network Analysis of Antibiotic Resistance Identifies Compelling Mutations across Pathways
B468	Cheng Jiang, Jie Cao, Craig Williamson, Venkatakrishna Rajajee, Jonathan Gryak, Kayvan Najarian, and Reza Soroushmehr, Midline Shift vs Mid-Surface Shift: Correlation with Outcome of Traumatic Brain Injuries
B473	Daniel Gutstein, Enid Montague, Jacob Furst, and Daniela Raicu, Optical Flow, Positioning, and Eye Coordination: Automating the Annotation of Physician-Patient Interactions
B475	Dongdong Ren, Jinbao Li, Lingli Li, and Haiwei Pan, Low Dose CT Image Denoising Using Multi-level Feature Fusion Network and Edge Constraints
B478	Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, and Yike Guo, Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
B486	Emily Stroup, Yuan Luo, and L. Nelson Sanchez-Pinto, Phenotyping Multiple Organ Dysfunction Syndrome Using Temporal Trends in Critically Ill Children
B499	Ying Yu, Min Li, Fang-Xiang Wu, and Jianxin Wang, Tentative diagnosis prediction via deep understanding of patient narratives
B516	Tanvir Alam, Mohammad Islam, Sebastian Schmeier, Mowafa Househ, and Dena A. Al-Thani, DeePEL: Deep learning architecture to recognize p-lncRNA and e-lncRNA promoters
B518	Haohan Wang, Changpeng Lu, Wei Wu, and Eric Xing, Graph-structured Sparse Mixed Models for Genetic Association with Confounding Factors Correction
B523	Jialin Wang, Dake He, Ye Wang, Jiangang Ma, Yanchun Zhang, Jiaqiu Shen, and Xiaoyuan Hong, Overlook Graph Representation for Absence Epilepsy Classification
B524	Jeonghee Jo, Hyun-Soo Choi, and Sungroh Yoon, Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data
B526	Limin Yu, Xianjun Shen, Xingpeng Jiang, Jincai Yang, Yujuan Yang, and Duo Zhong, Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module
B529	Rasoul Sali, Lubaina Ehsan, Kamran Kowsari, Marium Khan, Christopher A. Moskaluk, Sana Syed, and Donald E. Brown, CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
B533	Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, and Ming Zhang, Predictive Multi-level Patient Representations from Electronic Health Records
B536	xinyuan wang and Jiangtao Ren, Semi-supervised learning for classification on Chinese drug treatment questions
B540	Lei Deng, Hui Wu, and Hui Liu, D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence
B541	Weijie Liu, Guangyu Wang, Anpeng Huang, and Ping Wang, NIV-NGM - A Novel Non-invasive Blood Glucose Monitoring Method based on Near-infrared Videos
B542	Qingfeng Wang, Jun Huang, Zhiqin Liu, Jie-Zhi Cheng, Ying Zhou, Qiyu Liu, Yaobin Wang, Xuehai Zhou, and Chao Wang, Higher-order Transfer Learning for Pulmonary Nodule Attribute Prediction in Chest CT Images
B544	Jianjun Zhu, Shuang Song, Shuai Guo, Danni Ai, Jingfan Fan, Hong Song, Ping Liang, and Jian Yang, Monte Carlo Tree Search for 3D/2D Registration of Vessel Graphs
B547	Zhong Ran, Li Xusheng, Sun Xia, Fu Chengcheng, Jiang Xingpeng, and He Tingting, Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM
B550	Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, and Yi Chang, Multi-classification of Cancer Samples based on Co-expression Analyses
B554	Liang Qiao, Hongkun Yu, Kunpeng Wang, Ruixin Sun, Wenlai Zhao, and Guangwen Yang, Large-scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures
B556	Lei Wang, Bo Wang, and Zhenghua Xu, Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net
B558	Junmin Zhao and Jingpu Zhang, A Protein Complex Identification Algorithm Based on essential protein
B573	Ruican Li, Hui Li, Wei Guo, and Lizhen Cui, Biclsutering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors
B575	Ah Ra Lee, Min Gyu Kim, and Il Kon Kim, SHAREChain: Healthcare data sharing framework using Blockchain-registry and FHIR
B585	Jeffrey Ruffolo, Zhaoyu Li, and Yi Shang, MUFold-Contact and TPCref: New Methods for Protein Structure Contact Prediction and Refinement
B592	Ling Tian, Jianliang Gao, Jianxin Wang, and Xiaohua Hu, Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks
B595	Stephane Deparis, Pierpaolo Tommasi, Alessandra Pascale, Hicham Rifai, Julie Doyle, and John Dinsmore, Building a Risk Model for the Patient-centred Care of Multiple Chronic Diseases
B610	Zhaohui Liang, Jun Liu, Honglai Zhang, Jimmy Xiangji Huang, Ziping Li, and Stephen Chan, Patient Entity Recognition by Automatic EHR Context Understanding and Deep Learning
B620	Andrea Gulino, Eirini Stamoulakatou, Arif Canakoglu, and Pietro Pinoli, Analysis and Visualization of Mutation Enrichments for Selected Genomic Regions and Cancer Types
B623	Heming Yao, Keith Aaronson, Lu Lu, Jonathan Gryak, Kayvan Najarian, and Jessica Golbus, Using Fuzzy Neural Network in Clinical Decision Support for Patients with Advanced Heart Failure
B634	Polyane Wercelens, Waldeyr da Silva, Klayton Castro, Aletéia Araújo, Sérgio Lifschitz, and Maristela Holanda, Data Provenance Management of Bioinformatics Workflows in Federated Clouds
B637	Chunjiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, and Minghu Song, Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing
B640	Xiang Li, Variational Autoencoder based Latent Factor Decoding of Multichannel EEG for Emotion Recognition
B641	Tuan Tran, Tania Rajpersaud, and Chinwe Ekenna, Predicting the Expression Profile for Plasmodium Falciparum Genes during the Blood Stage Life Cycle
B642	S. M. Iqbal Morshed and Shibu Yooseph, SOF: An Efficient String Graph Construction Algorithm
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