Guotong Xie

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 130

Top Venues

Publications

Liang Diao, Xin Tang, Jun Wang, Guotong Xie, Junlin Hu
Hierarchical visual-semantic interaction for scene text recognition. Inf. Fusion 102 (2024)
Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
IAPT: Instruction-Aware Prompt Tuning for Large Language Models. CoRR (2024)
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 (2024)
Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
IAPT: Instance-Aware Prompt Tuning for Large Language Models. ACL (1) (2024)
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)
Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
Filter Pruning via Filters Similarity in Consecutive Layers. CoRR (2023)
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)
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)
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)
Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
Filter Pruning Via Filters Similarity in Consecutive Layers. ICASSP (2023)
Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. DASFAA (3) (2023)
Wei Zhu, Peng Wang, Xiaoling Wang, Yuan Ni, Guotong Xie
ACF: Aligned Contrastive Finetuning For Language and Vision Tasks. ICASSP (2023)
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 (2023)
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) (2023)
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)
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)
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 (2023)
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 (2023)
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 (2022)
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)
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)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
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)
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)
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)
Liang Diao, Xin Tang, Jun Wang, Rui Fang, Guotong Xie, Weifu Chen
Visual-Semantic Transformer for Scene Text Recognition. BMVC (2022)
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)
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 (2022)
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 (2022)
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)
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 (2021)
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 (2021)
Wei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie
Discovering Better Model Architectures for Medical Query Understanding. NAACL-HLT (Industry Papers) (2021)
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) (2021)
Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie
Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD (2021)
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)
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) (2021)
Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie
Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. BIBM (2021)
Zhao Guo, Yuan Ni, Keqiang Wang, Wei Zhu, Guotong Xie
Global Attention Decoder for Chinese Spelling Error Correction. ACL/IJCNLP (Findings) (2021)
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 (2021)
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 (2021)
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 (2021)
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)
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)
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)
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)
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 (2021)
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)
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)
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 (2021)
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)
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)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. BIBM (2021)
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)
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 (2021)
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 (2021)
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)
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)
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Xin Xie, 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 (2021)
Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie
GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning. EMNLP (1) (2021)
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)
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 (2021)
Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie
AutoTrans: Automating Transformer Design via Reinforced Architecture Search. NLPCC (1) (2021)
Yixuan Qiao, Hao Chen, Jun Wang, Peng Gao, Guotong Xie, Tuozhen Liu, Xianbin Ye, Guotong Xie
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC (2021)
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)
Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie
Region Focus Network for Joint Optic Disc and Cup Segmentation. AAAI (2020)
Wei Zhu, Xipeng Qiu, Yuan Ni, Guotong Xie
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. CoRR (2020)
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)
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 (2020)
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) (2020)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Wei Zhu, Xiaoling Wang, Xipeng Qiu, Yuan Ni, Guotong Xie
AutoTrans: Automating Transformer Design via Reinforced Architecture Search. CoRR (2020)
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 (2020)
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)
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)
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)
Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie
Automatic Student Network Search for Knowledge Distillation. ICPR (2020)
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)
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)
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)
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)
Xiang Li, Yanni Kang, Xiaoyu Jia, Junmei Wang, Guotong Xie
TASP: A Time-Phased Model for Sepsis Prediction. CinC (2019)

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Publication Activity (10 Years)

Top Topics

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Guotong Xie