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- affiliation: Ping An Health Technology, Beijing, China
- affiliation: IBM Research, Beijing, China
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Journal Articles
- 2024
[j16]Liang Diao, Xin Tang, Jun Wang, Guotong Xie, Junlin Hu
:
Hierarchical visual-semantic interaction for scene text recognition. Inf. Fusion 102: 102080 (2024)- 2023
- [j15]Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao:
Improving drug-target affinity prediction via feature fusion and knowledge distillation. Briefings Bioinform. 24(3) (2023) - [j14]Xuwu Wang, Lihan Chen, Wei Zhu, Yuan Ni, Guotong Xie, Deqing Yang, Yanghua Xiao:
Multi-task entity linking with supervision from a taxonomy. Knowl. Inf. Syst. 65(10): 4335-4358 (2023) - 2022
- [j13]Guyue Zhang, Yang Yang, Shangliang Xu, Yang Nan, Chuanfeng Lv, Lina Wei, Tianwei Qian, Jun Han, Guotong Xie:
Autonomous localization and segmentation for body composition quantization on abdominal CT. Biomed. Signal Process. Control. 71(Part): 103172 (2022) - [j12]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic fine-grained glomerular lesion recognition in kidney pathology. Pattern Recognit. 127: 108648 (2022) - 2021
- [j11]Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song:
An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. 22(6) (2021) - [j10]Jing Wu, Min Zhao, Tao Li, Jinxiu Sun, Qi Chen, Chengliang Yin, Zhilong Jia, Chenghui Zhao, Gui Lin, Yuan Ni, Guotong Xie, Jinlong Shi, Kunlun He:
HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database J. Biol. Databases Curation 2021 (2021) - [j9]Guyue Zhang, Kaixing Chen, Shangliang Xu, Po Chuan Cho, Yang Nan, Xin Zhou, Chuanfeng Lv, Changsheng Li, Guotong Xie:
Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images. Comput. Medical Imaging Graph. 90: 101929 (2021) - [j8]Cheng Zhang, Jun Wang, Jian He, Peng Gao, Guotong Xie:
Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields. Neurocomputing 438: 280-289 (2021) - [j7]Tiange Chen, Siwan Huang, Guanqiao Li, Yuan Zhang, Ye Li, Jinyi Zhu, Xuanling Shi, Xiang Li, Guotong Xie, Linqi Zhang:
An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19. J. Biomed. Informatics 118: 103800 (2021) - [j6]Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie, Fei Wang:
ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. 5(1): 98-113 (2021) - [j5]Yan Shao, Xiaoying Zhang, Ge Wu, Qingtao Gu, Jiyong Wang, Yanchen Ying, Aihui Feng, Guotong Xie, Qing Kong, Zhiyong Xu:
Prediction of Three-Dimensional Radiotherapy Optimal Dose Distributions for Lung Cancer Patients With Asymmetric Network. IEEE J. Biomed. Health Informatics 25(4): 1120-1127 (2021) - 2020
- [j4]Xiao Xu, Xiaoshuang Liu, Yanni Kang, Xian Xu, Junmei Wang, Yuyao Sun, Quanhe Chen, Xiaoyu Jia, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie:
A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. J. Heal. Informatics Res. 4(4): 365-382 (2020) - 2009
- [j3]Huajun Chen, Bin Lu, Yuan Ni, Guo Tong Xie, Chunying Zhou, Jinhua Mi, Zhaohui Wu:
Mashup by Surfing a Web of Data APIs. Proc. VLDB Endow. 2(2): 1602-1605 (2009) - 2006
- [j2]Yue Pan, Guo Tong Xie, Li Ma, Yang Yang, Zhaoming Qiu, Juhnyoung Lee:
Model-Driven Ontology Engineering. J. Data Semant.: 57-78 (2006) - 2004
- [j1]Zhong Su, Jianmin Jiang, Tao Liu, Guo Tong Xie, Yue Pan:
Market Intelligence Portal: An entity-based system for managing market intelligence. IBM Syst. J. 43(3): 534-545 (2004)
Conference and Workshop Papers
- 2023
- [c127]Wei Zhu, Peng Wang, Yuan Ni, Guotong Xie, Xiaoling Wang:
BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting. ACL (industry) 2023: 500-509 - [c126]Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu:
Unified Demonstration Retriever for In-Context Learning. ACL (1) 2023: 4644-4668 - [c125]Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie:
Global Balanced Text Classification for Stable Disease Diagnosis. ADMA (3) 2023: 214-228 - [c124]Xian Xu, Xiao Xu, Xiang Li, Guotong Xie:
GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. DASFAA (3) 2023: 286-296 - [c123]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun:
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [c122]Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie:
Filter Pruning Via Filters Similarity in Consecutive Layers. ICASSP 2023: 1-5 - [c121]Wei Zhu, Peng Wang, Xiaoling Wang, Yuan Ni, Guotong Xie:
ACF: Aligned Contrastive Finetuning For Language and Vision Tasks. ICASSP 2023: 1-5 - [c120]Lan Wei, Ye Li, Jianying Guo, Xiang Li, Shujiang Mei, Yongsheng Wu, Guotong Xie, Tiejian Feng:
Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. ISAIMS 2023: 496-499 - 2022
- [c119]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) 2022: 2409-2421 - [c118]Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c117]Bingcong Li, Xin Tang, Jun Wang, Liang Diao, Rui Fang, Guotong Xie, Weifu Chen:
Parallel and Robust Text Rectifier for Scene Text Recognition. BMVC 2022: 770 - [c116]Liang Diao, Xin Tang, Jun Wang, Rui Fang, Guotong Xie, Weifu Chen:
Visual-Semantic Transformer for Scene Text Recognition. BMVC 2022: 772 - [c115]Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li:
Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. ICHI 2022: 612-613 - [c114]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL 2022: 1593-1596 - [c113]Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie:
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC 2022: 108-124 - 2021
- [c112]Zhao Guo, Yuan Ni, Keqiang Wang, Wei Zhu, Guotong Xie:
Global Attention Decoder for Chinese Spelling Error Correction. ACL/IJCNLP (Findings) 2021: 1419-1428 - [c111]Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie:
Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. BIBM 2021: 702-705 - [c110]Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie:
Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. BIBM 2021: 1358-1363 - [c109]Wei Zhu, Yilong He, Ling Chai, Yunxiao Fan, Yuan Ni, Guotong Xie, Xiaoling Wang:
paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization. BioNLP@NAACL-HLT 2021: 96-102 - [c108]Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie:
GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning. EMNLP (1) 2021: 3033-3044 - [c107]Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang:
Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. ICDM 2021: 777-786 - [c106]Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie:
Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. ICHI 2021: 311-319 - [c105]Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie:
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI 2021: 2694-2700 - [c104]Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie:
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD 2021: 1120-1128 - [c103]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c102]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c101]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c100]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c99]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c98]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. MICCAI (5) 2021: 270-280 - [c97]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. MICCAI (2) 2021: 341-351 - [c96]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. MICCAI (2) 2021: 515-525 - [c95]Wei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie:
Discovering Better Model Architectures for Medical Query Understanding. NAACL-HLT (Industry Papers) 2021: 230-237 - [c94]Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie:
AutoTrans: Automating Transformer Design via Reinforced Architecture Search. NLPCC (1) 2021: 169-182 - [c93]Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC 2021 - 2020
- [c92]Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie:
Region Focus Network for Joint Optic Disc and Cup Segmentation. AAAI 2020: 751-758 - [c91]Yanni Kang, Xiaoyu Jia, Yiying Hu, Jianying Guo, Xiang Li, Guo Tong Xie, Kaifei Wang:
A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation. AMIA 2020 - [c90]Yingxue Li, Tingyu Chen, Tiange Chen, Xiang Li, Caihong Zeng, Zhihong Liu, Guotong Xie:
An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy. AMIA 2020 - [c89]Lei Zuo, Xin Du, Wei Zhao, Chao Jiang, Shijun Xia, Liu He, Rong Liu, Ribo Tang, Rong Bai, Jianzeng Dong, Xingzhi Sun, Gang Hu, Guotong Xie, Changsheng Ma:
Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning. AMIA 2020 - [c88]Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie:
DeepComp: Which Competing Event Will Hit the Patient First? BIBM 2020: 629-636 - [c87]Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. BMVC 2020 - [c86]Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie, Yanghua Xiao:
Mining Infrequent High-Quality Phrases from Domain-Specific Corpora. CIKM 2020: 1535-1544 - [c85]Fengyi Li, Yang Nan, Xiaoshuai Hou, Chunmei Xie, Jiaping Wang, Chuanfeng Lv, Guo Tong Xie:
Correlation-Guided Network for Fine-Grained Classification of Glomerular lesions in Kidney Histopathology Images. EMBC 2020: 5781-5784 - [c84]Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie:
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) 2020: 1692-1705 - [c83]Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie:
A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. ICHI 2020: 1-9 - [c82]Xiaoshuang Liu, Xiao Xu, Xiang Li, Guotong Xie:
Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data. ICHI 2020: 1-2 - [c81]Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie:
Automatic Student Network Search for Knowledge Distillation. ICPR 2020: 2446-2453 - [c80]Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan:
A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation. ISBI 2020: 341-344 - [c79]Yan Guo, Rui Wang, Xia Zhou, Yang Liu, Lilong Wang, Chuanfeng Lv, Bin Lv, Guotong Xie:
Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus Images. ISBI 2020: 1242-1245 - [c78]Rui Wang, Dongyi Fan, Bin Lv, Min Wang, Qienyuan Zhou, Chuanfeng Lv, Guotong Xie, Lilong Wang:
OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion Network. ISBI 2020: 1561-1564 - [c77]Suhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv:
Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. ISBI 2020: 1570-1573 - [c76]Yang Liu, Dongfang Li, Yan Guo, Xia Zhou, Yanling Dong, Zhen Guo, Guotong Xie, Chuanfeng Lv, Bin Lv:
Hierarchy-Constrained Network for Corneal Tissue Segmentation Based on Anterior Segment OCT Images. ISBI 2020: 1579-1582 - [c75]Chengfen Zhang, Yue Wang, Xinyu Zhao, Yan Guo, Guotong Xie, Chuanfeng Lv, Bin Lv:
Memory-Augmented Anomaly Generative Adversarial Network for Retinal OCT Images Screening. ISBI 2020: 1971-1974 - [c74]Dongyi Fan, Chengfen Zhang, Bin Lv, Lilong Wang, Guanzheng Wang, Min Wang, Chuanfeng Lv, Guotong Xie:
Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images. MICCAI (5) 2020: 685-693 - [c73]Liyu Cao, Yixuan Qiao, Hao Chen, Peng Gao, Yuan Ni, Guo Tong Xie:
A Multiple Models Ensembling Method in TREC Deep Learning. TREC 2020 - [c72]Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie:
PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC 2020 - 2019
- [c71]Xingzhi Sun, Wei Zhao, Lei Zuo, Alexandra Dumitriu, Chuang-Chung Lee, Nan Cui, Xiyang Liao, Tingting Zhao, Xuehan Jiang, Zhuoyang Xu, Gang Hu, Guotong Xie, Hong Wu, Yahua Huang:
Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment. AMIA 2019 - [c70]Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang:
Inpatient2Vec: Medical Representation Learning for Inpatients. BIBM 2019: 1113-1117 - [c69]Wei Zhu, Xiaofeng Zhou, Keqiang Wang, Xun Luo, Xiepeng Li, Yuan Ni, Guotong Xie:
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation. BioNLP@ACL 2019: 380-388 - [c68]Xiang Li, Yanni Kang, Xiaoyu Jia, Junmei Wang, Guotong Xie:
TASP: A Time-Phased Model for Sepsis Prediction. CinC 2019: 1-4 - [c67]Wenxiao Jia, Xiang Li, Kewei Tan, Guotong Xie:
Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. ICHI 2019: 1-4 - [c66]Yanni Kang, Xiaoyu Jia, Xiang Li, Guotong Xie:
Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. ICHI 2019: 1-2 - [c65]Xiaoshuang Liu, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie:
IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. ICHI 2019: 1-2 - [c64]Xiao Xu, Junmei Wang, Xian Xu, Yuyao Sun, Quanhe Chen, Xiang Li, Guotong Xie:
Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. ICHI 2019: 1-3 - [c63]Wei Zhu, Yuan Ni, Guotong Xie, Xiaofeng Zhou, Cai Chen:
The Dr-KGQA System for Automatically Answering Medication Related Questions in Chinese. ICHI 2019: 1-6 - [c62]Xiaofeng Zhou, Yuan Ni, Guotong Xie, Wei Zhu, Cai Chen, Tianhao Wang, Zhigang Pan:
Analysis of the Health Information Needs of Diabetics in China. MedInfo 2019: 487-491 - [c61]Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie:
An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. MedInfo 2019: 1594-1595 - [c60]Yan Guo, Kang Wang, Suhui Yang, Yue Wang, Peng Gao, Guotong Xie, Chuanfeng Lv, Bin Lv:
Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image. OMIA@MICCAI 2019: 9-17 - 2018
- [c59]Yiying Hu, Xiang Li, Wenqing Lei, Guotong Xie:
Group-Based Trajectory Analysis of HIV-1 Patients. AMIA 2018 - 2017
- [c58]Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI 2017: 2824-2830 - [c57]Bibo Hao, Yiqin Yu, Wen Sun, Yingxue Li, Guotong Xie:
Interactive Machine Learning for Medical Research: A Framework to Enhance the Engagement of Clinical Researchers. AMIA 2017 - [c56]Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie:
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA 2017 - [c55]Eryu Xia, Jing Mei, Guotong Xie, Xuejun Li, Zhibin Li, Meilin Xu:
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach. AMIA 2017 - [c54]Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang:
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI 2017 - [c53]Xiuli Li, Hao Zhang, Xiaolu Zhang, Hao Liu, Guotong Xie:
Exploring transfer learning for gastrointestinal bleeding detection on small-size imbalanced endoscopy images. EMBC 2017: 1994-1997 - [c52]Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang:
Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo 2017: 476-480 - [c51]Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu:
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo 2017: 491-495 - [c50]Guo Yu Tang, Yuan Ni, Guo Tong Xie, Xin Li Fan, Yan Ling Shi:
A Deep Learning-Based Method for Similar Patient Question Retrieval in Chinese. MedInfo 2017: 604-608 - [c49]Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li:
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo 2017: 639-643 - [c48]Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie:
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo 2017: 1024-1028 - [c47]Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu:
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo 2017: 1185-1189 - [c46]Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu:
Personal Health Self-Management in a Data Perspective. MedInfo 2017: 1244 - [c45]Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu:
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo 2017: 1277 - [c44]Xiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie:
Lung nodule malignancy prediction using multi-task convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2017: 1013424 - 2016
- [c43]Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie:
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA 2016 - [c42]Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM 2016: 659-668 - [c41]Wen Sun, Bibo Hao, Yiqin Yu, Jing Li, Gang Hu, Guo Tong Xie:
Feature++: Automatic Feature Construction for Clinical Data Analysis. MIE 2016: 547-551 - [c40]Bibo Hao, Wen Sun, Yiqin Yu, Jing Li, Gang Hu, Guotong Xie:
Accelerate Healthcare Data Analytics: An Agile Practice to Perform Collaborative and Reproducible Analyses. MIE 2016: 552-556 - [c39]Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang:
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE 2016: 562-566 - [c38]Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) 2016 - 2015
- [c37]Xiang Li, Gang Hu, Xiaofei Teng, Guotong Xie:
Building Structured Personal Health Records from Photographs of Printed Medical Records. AMIA 2015 - [c36]Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin:
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM 2015: 226-241 - [c35]Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu:
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo 2015: 300-304 - [c34]Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie:
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo 2015: 711-715 - [c33]Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu:
Synthesizing Analytic Evidence to Refine Care Pathways. MIE 2015: 70-74 - [c32]Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE 2015: 190-194 - [c31]Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang:
Analysis of Care Pathway Variation Patterns in Patient Records. MIE 2015: 692-696 - [c30]Wen Sun, Achille Fokoue, Kavitha Srinivas, Anastasios Kementsietsidis, Gang Hu, Guo Tong Xie:
SQLGraph: An Efficient Relational-Based Property Graph Store. SIGMOD Conference 2015: 1887-1901 - 2014
- [c29]Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan:
Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. CIKM 2014: 1359-1368 - [c28]Boliang Chen, Jing Mei, Wen Sun, Ruilong Su, Haofen Wang, Gang Hu, Guotong Xie, Yong Yu:
SPARQL Query Recommendation for Exploring RDF Repositories. CSWS 2014: 3-16 - [c27]Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie:
Embracing case management for computerization of care pathways. MIE 2014: 3-7 - [c26]Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu:
Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE 2014: 23-27 - [c25]Michal Rosen-Zvi, Lavi Shpigelman, Alan Kalton, Omer Weissbrod, Saheed Akindeinde, Soren Benefeldt, Andrew Bentley, Terry Everett, Joseph Jajinskiji, Emmanuel Kweyu, Chalapathy Neti, Joe Saab, Osamuyimen Stewart, Malcolm Ward, Guo Tong Xie:
Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression. MIE 2014: 288-292 - [c24]Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan:
Automatic Variance Analysis of Multistage Care Pathways. MIE 2014: 715-719 - 2013
- [c23]Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason B. Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, Wen Sun:
Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization. CSWS 2013: 90-97 - [c22]Jing Mei, Haifeng Liu, Weijia Shen, Wen Sun, Gang Hu, Guo Tong Xie, Yue Pan:
A Framework for Evaluating Sequential Clinical Interventions with Disease Progression. MedInfo 2013: 947 - [c21]Haifeng Liu, Guo Tong Xie, Jing Mei, Weijia Shen, Wen Sun, Xiang Li:
An Efficacy Driven Approach for Medication Recommendation in Type 2 Diabetes Treatment Using Data Mining Techniques. MedInfo 2013: 1071 - [c20]Spyros Kotoulas, Vanessa López, Martin Stephenson, Pierpaolo Tommasi, Weijia Shen, Gang Hu, Marco Luca Sbodio, Veli Bicer, Anastasios Kementsietsidis, M. Mustafa Rafique, Jason B. Ellis, Thomas Erickson, Kavitha Srinivas, Kevin McAuliffe, Guo Tong Xie, Pol Mac Aonghusa:
Coordinating Social Care and Healthcare using Semantic Web Technologies. ISWC (Posters & Demos) 2013: 169-172 - 2011
- [c19]Jing Mei, Haifeng Liu, Guo Tong Xie, Shengping Liu, Baoyao Zhou:
An OCL-compliant GELLO Engine. MIE 2011: 130-134 - 2010
- [c18]Chunying Zhou, Huajun Chen, Zhipeng Peng, Yuan Ni, Guotong Xie:
A Semantic Bayesian Network for Web Mashup Network Construction. GreenCom/CPSCom 2010: 645-652 - 2009
- [c17]Shengping Liu, Yuan Ni, Jing Mei, Hanyu Li, Guo Tong Xie, Gang Hu, Haifeng Liu, Xueqiao Hou, Yue Pan:
iSMART: Ontology-based Semantic Query of CDA Documents. AMIA 2009 - [c16]Jing Mei, Shengping Liu, Guo Tong Xie, Aditya Kalyanpur, Achille Fokoue, Yuan Ni, Hanyu Li, Yue Pan:
A Practical Approach for Scalable Conjunctive Query Answering on Acyclic EL+\mathcal{EL}^+ Knowledge Base. ISWC 2009: 408-423 - [c15]Feng Shi, Juanzi Li, Jie Tang, Guo Tong Xie, Hanyu Li:
Actively Learning Ontology Matching via User Interaction. ISWC 2009: 585-600 - [c14]Qian Zhong, Hanyu Li, Juanzi Li, Guo Tong Xie, Jie Tang, Lizhu Zhou, Yue Pan:
A gauss function based approach for unbalanced ontology matching. SIGMOD Conference 2009: 669-680 - [c13]Bin Lu, Zhaohui Wu, Yuan Ni, Guo Tong Xie, Chunying Zhou, Huajun Chen:
sMash: semantic-based mashup navigation for data API network. WWW 2009: 1133-1134 - 2008
- [c12]Qian Ma, Hao Wang, Ying Li, Guotong Xie, Feng Liu:
A Semantic QoS-Aware Discovery Framework for Web Services. ICWS 2008: 129-136 - [c11]Shengping Liu, Yang Yang, Guo Tong Xie, Chen Wang, Feng Cao, Cassio Dos Santos, Robert J. Schloss, Yue Pan, Kevin Shank, John Colgrave:
Supporting Ontology-Based Dynamic Property and Classification in WebSphere Metadata Server. ISWC 2008: 861-874 - [c10]Shengping Liu, Yang Yang, Guo Tong Xie, Chen Wang, Feng Cao, Cassio Dos Santos, Robert J. Schloss, Yue Pan, Kevin Shank, John Colgrave:
MDS++: Supporting Ontology-based Dynamic Classification in WebSphere Metadata Server. ISWC (Posters & Demos) 2008 - [c9]Jing Mei, Guo Tong Xie, Shengping Liu, Lei Zhang, Yue Pan:
A System to Enable Relational Persistence and Semantic Web style Access Simultaneously for Objects. ISWC (Posters & Demos) 2008 - [c8]Jing Mei, Guo Tong Xie, Yuan Ni, Shengping Liu, Hanyu Li, Yue Pan:
Making URIs Published on Data Web RDF Dereferencable. ISWC (Posters & Demos) 2008 - [c7]Jing Mei, Guo Tong Xie, Lei Zhang, Shengping Liu, Robert J. Schloss, Yue Pan, Yuan Ni:
UMRR: Towards an Enterprise-Wide Web of Models. ISWC (Posters & Demos) 2008 - 2007
- [c6]Liangzhao Zeng, Hui Lei, Michael J. Dikun, Henry Chang, Guo Tong Xie:
The Design and Implementation of a Semantic Service Mediation System. ICEBE 2007: 3-12 - [c5]Guo Tong Xie, Yang Yang, Shengping Liu, Zhaoming Qiu, Yue Pan, Xiongzhi Zhou:
EIAW: Towards a Business-Friendly Data Warehouse Using Semantic Web Technologies. ISWC/ASWC 2007: 857-870 - 2006
- [c4]Li Ma, Yang Yang, Zhaoming Qiu, Guo Tong Xie, Yue Pan, Shengping Liu:
Towards a Complete OWL Ontology Benchmark. ESWC 2006: 125-139 - [c3]Liangzhao Zeng, Boualem Benatallah, Guo Tong Xie, Hui Lei:
Semantic Service Mediation. ICSOC 2006: 490-495 - [c2]Saartje Brockmans, Robert M. Colomb, Peter Haase, Elisa F. Kendall, Evan K. Wallace, Christopher A. Welty, Guo Tong Xie:
A Model Driven Approach for Building OWL DL and OWL Full Ontologies. ISWC 2006: 187-200 - 2004
- [c1]Lei Zhang, Yong Yu, Jing Lu, Chenxi Lin, Kewei Tu, MingChuan Guo, Zhuo Zhang, Guo Tong Xie, Zhong Su, Yue Pan:
ORIENT: Integrate Ontology Engineering into Industry Tooling Environment. ISWC 2004: 823-838
Parts in Books or Collections
- 2006
- [p1]Robert M. Colomb, Kerry Raymond, Lewis Hart, Patrick Emery, Chris Welty, Guo Tong Xie, Elisa F. Kendall:
The Object Management Group Ontology Definition Metamodel. Ontologies for Software Engineering and Software Technology 2006: 217-247
Informal and Other Publications
- 2024
- [i27]Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie:
Text2MDT: Extracting Medical Decision Trees from Medical Texts. CoRR abs/2401.02034 (2024) - 2023
- [i26]Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie:
Filter Pruning via Filters Similarity in Consecutive Layers. CoRR abs/2304.13397 (2023) - [i25]Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu:
Unified Demonstration Retriever for In-Context Learning. CoRR abs/2305.04320 (2023) - [i24]Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu:
Interactive Molecular Discovery with Natural Language. CoRR abs/2306.11976 (2023) - [i23]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun:
UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR abs/2310.01377 (2023) - 2022
- [i22]Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie:
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR abs/2203.00836 (2022) - [i21]Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu:
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR abs/2203.01670 (2022) - [i20]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology. CoRR abs/2203.05847 (2022) - [i19]Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR abs/2205.11245 (2022) - [i18]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR abs/2205.14660 (2022) - [i17]Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie:
HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR abs/2210.12020 (2022) - 2021
- [i16]Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR abs/2103.13482 (2021) - [i15]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. CoRR abs/2104.05570 (2021) - [i14]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - [i13]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. CoRR abs/2105.01218 (2021) - [i12]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. CoRR abs/2105.01828 (2021) - [i11]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i10]Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie:
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR abs/2106.15332 (2021) - [i9]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR abs/2109.09271 (2021) - [i8]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i7]Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho:
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. CoRR abs/2110.05280 (2021) - [i6]Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie:
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR abs/2110.13567 (2021) - [i5]Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie:
Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. CoRR abs/2112.04744 (2021) - 2020
- [i4]Wei Zhu, Xipeng Qiu, Yuan Ni, Guotong Xie:
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. CoRR abs/2009.10680 (2020) - [i3]Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie:
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. CoRR abs/2012.04829 (2020) - [i2]Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song:
Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR abs/2012.11175 (2020) - 2017
- [i1]Jing Mei, Eryu Xia, Xiang Li, Guotong Xie:
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR abs/1707.09706 (2017)
Coauthor Index
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