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The facilitating role of phycospheric heterotrophic bacteria in cyanobacterial phosphonate availability and Microcystis bloom maintenance Liang Zhao, Li-Zhou Lin, Ying Zeng, Wen-Kai Teng, Meng-Yun Chen, Jerry J Brand, Ling-Ling Zheng, Nan-Qin Gan, Yong-Hui Gong, Xin-Yi Li, Jin Lv, Ting Chen, Bo-Ping Han, Li-Rong Song, Wen-Sheng Shu June 2023 Microbiome
Association of short-term exposure to ambient fine particle matter with hospital admission risks and costs in China, a case-crossover study Yuze Gao, Jiangshao Gu, Ying Shi, Haibo Wang, Ting Chen, Qian Di April 2023 Global Transitions
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang, Ting Chen February 2023 IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS) Shangzhi Gu, Lixue Wang, Rong Han, Xiaohong Liu, Yizhe Wang, Ting Chen, Zhuozhao Zheng January 2023 Frontiers in Physiology
Detection of sarcopenia using deep learning-based artificial intelligence body part measure system (AIBMS) Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames Yimin Xu, Bowen Zheng, Xiaohong Liu, Tao Wu, Jinxiu Ju, Shijie Wang, Yufan Lian, Hongjun Zhang, Tong Liang, Ye Sang, Rui Jiang, Guangyu Wang, Jie Ren, Ting Chen January 2023 Briefings in Bioinformatics
Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu January 2023 The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2023
Rong Han, Xiaohong Liu, Ting Chen January 2022 2022 IEEE International Conference on Image Processing (ICIP)
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu January 2022 2022 IEEE Conference on Games (CoG)
StackVAE-G: An efficient and interpretable model for time series anomaly detection Wenkai Li, Wenbo Hu, Ting Chen, Ning Chen, Cheng Feng January 2022 AI Open
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning Weijie He, Ting Chen January 2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Microbiome analysis reveals universal diagnostic biomarkers for colorectal cancer across populations and technologies Huarong Zhang, Junling Wu, Daihan Ji, Yijuan Liu, Shuting Lu, Zeman Lin, Ting Chen, Lu Ao January 2022 Frontiers in Microbiology
FOXM1 Promotes Malignant Proliferation of Esophageal Squamous Cell Carcinoma Through Transcriptional Activating CDC6 Xiongfeng Chen, Jingbo Chen, Xunbin Yu, Guishan Lin, Ting Chen January 2022 DNA and Cell Biology
Determine independent gut microbiota-diseases association by eliminating the effects of human lifestyle factors Congmin Zhu, Xin Wang, Jianchu Li, Rui Jiang, Hui Chen, Ting Chen, Yuqing Yang January 2022 BMC microbiology
BSODA: a bipartite scalable framework for online disease diagnosis Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernàndez-Lobato, Ting Chen January 2022 Proceedings of the ACM Web Conference 2022
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction Xuan Zhang, Hui Wu, Ting Chen, Guangyu Wang January 2022 Artificial Intelligence in Medicine
TiKick: towards playing multi-agent football full games from single-agent demonstrations Shiyu Huang, Wenze Chen, Longfei Zhang, Shizhen Xu, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu January 2021 arXiv preprint arXiv:2110.04507
Responses of cyanobacterial aggregate microbial communities to algal blooms Congmin Zhu, Junyi Zhang, Xin Wang, Yuqing Yang, Ning Chen, Zuhong Lu, Qinyu Ge, Rui Jiang, Xuegong Zhang, Yunfeng Yang, others January 2021 Water Research
redPATH: reconstructing the pseudo development time of cell lineages in single-cell RNA-seq data and applications in cancer Kaikun Xie, Zehua Liu, Ning Chen, Ting Chen January 2021 Genomics, Proteomics & Bioinformatics
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu January 2021 arXiv preprint arXiv:2110.03939
Qualitative diagnostic signature for pancreatic ductal adenocarcinoma based on the within-sample relative expression orderings Jie Xia, Huarong Zhang, Qingzhou Guan, Shanshan Wang, Yawei Li, Jiajing Xie, Meifeng Li, Haiyan Huang, Haidan Yan, Ting Chen January 2021 Journal of Gastroenterology and Hepatology
Off-Policy Training for Truncated TD ($?ambda$) Boosted Soft Actor-Critic Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen January 2021 PRICAI 2021: Trends in Artificial Intelligence: 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part III
kldm: Inferring multiple metagenomic association networks based on the variation of environmental factors Yuqing Yang, Xin Wang, Kaikun Xie, Congmin Zhu, Ning Chen, Ting Chen January 2021 Genomics, Proteomics & Bioinformatics
Explainable dynamic multimodal variational autoencoder for the prediction of patients with suspected central precocious puberty Yimin Xu, Xiaohong Liu, Liyan Pan, Xiaojian Mao, Huiying Liang, Guangyu Wang, Ting Chen January 2021 IEEE Journal of Biomedical and Health Informatics
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images Kang Zhang, Xiaohong Liu, Jie Xu, Jin Yuan, Wenjia Cai, Ting Chen, Kai Wang, Yuanxu Gao, Sheng Nie, Xiaodong Xu, others January 2021 Nature Biomedical Engineering
Deep Active Learning For Fibrosis Segmentation Of Chest CT Scans From Covid-19 Patients Xiaohong Liu, Kai Wang, Ting Chen January 2021 2021 IEEE International Conference on Image Processing (ICIP)
Automatic emergency diagnosis with knowledge-based tree decoding Ke Wang, Xuyan Chen, Ning Chen, Ting Chen January 2021 Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence
An Adversarial Collaborative-Learning Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography Ke Wang, Guangyu Wang, Kang Zhang, Ting Chen January 2021 2021 IEEE International Conference on Image Processing (ICIP)
A qualitative transcriptional signature of recurrence risk for stages II--III gastric cancer patients after surgical resection Huarong Zhang, Xiangyu Li, Junling Wu, Jiahui Zhang, Haiyan Huang, Yawei Li, Meifeng Li, Shanshan Wang, Jie Xia, Lishuang Qi, others January 2021 Journal of Gastroenterology and Hepatology
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images Guangyu Wang, Xiaohong Liu, Jun Shen, Chengdi Wang, Zhihuan Li, Linsen Ye, Xingwang Wu, Ting Chen, Kai Wang, Xuan Zhang, others January 2021 Nature biomedical engineering
Svqn: Sequential variational soft q-learning networks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen January 2020
scAIDE: clustering of large-scale single-cell RNA-seq data reveals putative and rare cell types Kaikun Xie, Yu Huang, Feng Zeng, Zehua Liu, Ting Chen January 2020 NAR genomics and bioinformatics
Kiseg: A three-stage segmentation framework for multi-level acceleration of chest ct scans from covid-19 patients Xiaohong Liu, Kai Wang, Ke Wang, Ting Chen, Kang Zhang, Guangyu Wang January 2020 Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV 23
Joint Medical Ontology Representation Learning for Healthcare Predictions Ke Wang, Ning Chen, Ting Chen January 2020 2020 International Joint Conference on Neural Networks (IJCNN)
Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography Kang Zhang, Xiaohong Liu, Jun Shen, Zhihuan Li, Ye Sang, Xingwang Wu, Yunfei Zha, Wenhua Liang, Chengdi Wang, Ke Wang, others January 2020 Cell
Attention u-net for interpretable classification on chest x-ray image Xuan Zhang, Ting Chen January 2020 2020 IEEE international conference on bioinformatics and biomedicine (BIBM)
Anterior segment eye lesion segmentation with advanced fusion strategies and auxiliary tasks Ke Wang, Xiaohong Liu, Kang Zhang, Ting Chen, Guangyu Wang January 2020 Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23
Ambient fine particulate matter and hospital admissions for ischemic and hemorrhagic strokes and transient ischemic attack in 248 Chinese cities Jiangshao Gu, Ying Shi, Ning Chen, Haibo Wang, Ting Chen January 2020 Science of the Total Environment
Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study Jiangshao Gu, Ying Shi, Yifang Zhu, Ning Chen, Haibo Wang, Zongjiu Zhang, Ting Chen January 2020 PLoS Medicine
Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu Congmin Zhu, Junyi Zhang, Muhammad Zohaib Nawaz, Shahid Mahboob, Khalid A Al-Ghanim, Iqrar Ahmad Khan, Zuhong Lu, Ting Chen January 2019 Science of the Total Environment
How Robust is Your Automatic Diagnosis Model? Ke Wang, Guangyu Wang, Ning Chen, Ting Chen January 2019 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Deeptriager: A neural attention model for emergency triage with electronic health records Guangyu Wang, Xiaohong Liu, Ken Xie, Ning Chen, Ting Chen January 2019 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data Hongfei Cui, Hailin Hu, Jianyang Zeng, Ting Chen January 2019 BMC bioinformatics
Dcmn: Double core memory network for patient outcome prediction with multimodal data Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang January 2019 2019 IEEE International Conference on Data Mining (ICDM)
Computer-aided Diagnosis of Ambulatory Electrocardiograms via ASRS: Active-Selection-Random-Selection Xuan Zhang, Guangyu Wang, Ning Chen, Ting Chen January 2019 2019 IEEE International Conference on Healthcare Informatics (ICHI)
Combo-action: Training agent for fps game with auxiliary tasks Shiyu Huang, Hang Su, Jun Zhu, Ting Chen January 2019 Proceedings of the AAAI Conference on Artificial Intelligence
Bone age assessment by deep convolutional neural networks combined with clinical TW3-RUS Xiaohong Liu, Guangyu Wang, Yimin Xu, Ning Chen, Ting Chen January 2019 2019 IEEE international conference on bioinformatics and biomedicine (BIBM)
Automatic Diagnosis with 12-Lead ECG Signals Ke Wang, Xuan Zhang, Haoxi Zhong, Ting Chen January 2019 Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting: First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 1
Alternate succession of aggregate-forming cyanobacterial genera correlated with their attached bacteria by co-pathways Cong-Min Zhu, Jun-Yi Zhang, Rui Guan, Lauren Hale, Ning Chen, Ming Li, Zu-Hong Lu, Qin-Yu Ge, Yun-Feng Yang, Ji-Zhong Zhou, others January 2019 Science of the Total Environment
Ontology-based venous thromboembolism risk factors mining and model developing from medical records Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi, Ting Chen January 2018 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Hairong Lv, Ting Chen, Rui Jiang January 2018 Methods
Identifying group-specific sequences for microbial communities using long k-mer sequence signatures Ying Wang, Lei Fu, Jie Ren, Zhaoxia Yu, Ting Chen, Fengzhu Sun January 2018 Frontiers in microbiology
GePMI: A statistical model for personal intestinal microbiome identification Zicheng Wang, Huazhe Lou, Ying Wang, Ron Shamir, Rui Jiang, Ting Chen January 2018 npj Biofilms and Microbiomes
Dropout training for SVMs with data augmentation Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen January 2018 Frontiers of Computer Science
Approximation Algorithms for the Selection of Robust Tag SNPs Yao-Ting Huang, Kui Zhang, Ting Chen, Kun-Mao Chao January 2018 Handbook of Approximation Algorithms and Metaheuristics
Simultaneous inference of phenotype-associated genes and relevant tissues from GWAS data via Bayesian integration of multiple tissue-specific gene networks Mengmeng Wu, Zhixiang Lin, Shining Ma, Ting Chen, Rui Jiang, Wing Hung Wong January 2017 Journal of Molecular Cell Biology
Reconstructing cell cycle pseudo time-series via single-cell transcriptome data Zehua Liu, Huazhe Lou, Kaikun Xie, Hao Wang, Ning Chen, Oscar M Aparicio, Michael Q Zhang, Rui Jiang, Ting Chen January 2017 Nature communications
Patient outcome prediction via convolutional neural networks based on multi-granularity medical concept embedding Yujuan Feng, Xu Min, Ning Chen, Hu Chen, Xiaolei Xie, Haibo Wang, Ting Chen January 2017 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Leveraging multiple genomic data to prioritize disease-causing indels from exome sequencing data Mengmeng Wu, Ting Chen, Rui Jiang January 2017 Scientific Reports
Large-scale 16S gene assembly using metagenomics shotgun sequences Feng Zeng, Zicheng Wang, Ying Wang, Jizhong Zhou, Ting Chen January 2017 Bioinformatics
Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes Mengmeng Wu, Wanwen Zeng, Wenqiang Liu, Yijia Zhang, Ting Chen, Rui Jiang January 2017 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Genome and epigenome of a novel marine Thaumarchaeota strain suggest viral infection, phosphorothioation DNA modification and multiple restriction systems Nathan A Ahlgren, Yangyang Chen, David M Needham, Alma E Parada, Rohan Sachdeva, Vickie Trinh, Ting Chen, Jed A Fuhrman January 2017 Environmental microbiology
DACE: a scalable DP-means algorithm for clustering extremely large sequence data Linhao Jiang, Yichao Dong, Ning Chen, Ting Chen January 2017 Bioinformatics
COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge Yang Young Lu, Ting Chen, Jed A Fuhrman, Fengzhu Sun January 2017 Bioinformatics
Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding Xu Min, Wanwen Zeng, Ning Chen, Ting Chen, Rui Jiang January 2017 Bioinformatics
2016
Whole genome sequencing and its applications in medical genetics Jiaxin Wu, Mengmeng Wu, Ting Chen, Rui Jiang January 2016 Quantitative Biology
WALT: fast and accurate read mapping for bisulfite sequencing Haifeng Chen, Andrew D Smith, Ting Chen January 2016 Bioinformatics
Tongue coating and the salivary microbial communities vary in children with halitosis Wen Ren, Zhe Xun, Zicheng Wang, Qun Zhang, Xuenan Liu, Hui Zheng, Qian Zhang, Yifei Zhang, Linshuang Zhang, Chunyan Wu, others January 2016 Scientific reports
Reading the underlying information from massive metagenomic sequencing data Xuegong Zhang, Shansong Liu, Hongfei Cui, Ting Chen January 2016 Proceedings of the IEEE
mLDM: a new hierarchical Bayesian statistical model for sparse microbioal association discovery Yuqing Yang, Ning Chen, Ting Chen January 2016 bioRxiv
Global inference of disease-causing single nucleotide variants from exome sequencing data Mengmeng Wu, Ting Chen, Rui Jiang January 2016 BMC bioinformatics
Effect of k-tuple length on sample-comparison with high-throughput sequencing data Ying Wang, Xiaoye Lei, Shun Wang, Zicheng Wang, Nianfeng Song, Feng Zeng, Ting Chen January 2016 Biochemical and biophysical research communications
DeepEnhancer: predicting enhancers by convolutional neural networks Xu Min, Ning Chen, Ting Chen, Rui Jiang January 2016 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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