Guotong Xie - RankMe

138 papers A* 7A 6B 1Misc 11Journal 42Unranked 71

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	ChatMol: interactive molecular discovery with natural language. Bioinform. Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu
2024	J	`jnl`	Hierarchical visual-semantic interaction for scene text recognition. Inf. Fusion Liang Diao, Xin Tang, Jun Wang, Guotong Xie, Junlin Hu
2024	—	`conf`	IAPT: Instance-Aware Prompt Tuning for Large Language Models. ACL (1) Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
2024	J	`jnl`	IAPT: Instruction-Aware Prompt Tuning for Large Language Models. CoRR Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie
2024	J	`jnl`	Text2MDT: Extracting Medical Decision Trees from Medical Texts. CoRR Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie
2024	A*	`conf`	ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun
2023	Misc	`conf`	ACF: Aligned Contrastive Finetuning For Language and Vision Tasks. ICASSP Wei Zhu, Peng Wang, Xiaoling Wang, Yuan Ni, Guotong Xie
2023	—	`conf`	BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting. ACL (industry) Wei Zhu, Peng Wang, Yuan Ni, Guotong Xie, Xiaoling Wang
2023	A*	`conf`	Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 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
2023	Misc	`conf`	Filter Pruning Via Filters Similarity in Consecutive Layers. ICASSP Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
2023	J	`jnl`	Filter Pruning via Filters Similarity in Consecutive Layers. CoRR Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
2023	—	`conf`	GRMI: Graph Representation Learning of Multimodal Data with Incompleteness. DASFAA (3) Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
2023	—	`conf`	Global Balanced Text Classification for Stable Disease Diagnosis. ADMA (3) Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun, Guotong Xie
2023	J	`jnl`	Improving drug-target affinity prediction via feature fusion and knowledge distillation. Briefings Bioinform. Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao
2023	J	`jnl`	Interactive Molecular Discovery with Natural Language. CoRR Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu
2023	J	`jnl`	Multi-task entity linking with supervision from a taxonomy. Knowl. Inf. Syst. Xuwu Wang, Lihan Chen, Wei Zhu, Yuan Ni, Guotong Xie, Deqing Yang, Yanghua Xiao
2023	—	`conf`	Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. ISAIMS Lan Wei, Ye Li, Jianying Guo, Xiang Li, Shujiang Mei, Yongsheng Wu, Guotong Xie, Tiejian Feng
2023	J	`jnl`	UltraFeedback: Boosting Language Models with High-quality Feedback. CoRR Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun
2023	—	`conf`	Unified Demonstration Retriever for In-Context Learning. ACL (1) Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu
2023	J	`jnl`	Unified Demonstration Retriever for In-Context Learning. CoRR Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, Xipeng Qiu
2022	—	`conf`	A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. ACL (Findings) Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation. CoRR Tianxiang Sun, Xiangyang Liu, Wei Zhu, Zhichao Geng, Lingling Wu, Yilong He, Yuan Ni, Guotong Xie, Xuanjing Huang, Xipeng Qiu
2022	J	`jnl`	Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology. CoRR Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang
2022	J	`jnl`	Automatic fine-grained glomerular lesion recognition in kidney pathology. Pattern Recognit. Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang
2022	J	`jnl`	Autonomous localization and segmentation for body composition quantization on abdominal CT. Biomed. Signal Process. Control. Guyue Zhang, Yang Yang, Shangliang Xu, Yang Nan, Chuanfeng Lv, Lina Wei, Tianwei Qian, Jun Han, Guotong Xie
2022	—	`conf`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 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
2022	J	`jnl`	CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
2022	Misc	`conf`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	J	`jnl`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	—	`conf`	Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. ICHI Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li
2022	J	`jnl`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie
2022	A	`conf`	Parallel and Robust Text Rectifier for Scene Text Recognition. BMVC Bingcong Li, Xin Tang, Jun Wang, Liang Diao, Rui Fang, Guotong Xie, Weifu Chen
2022	—	`conf`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	J	`jnl`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	A	`conf`	Visual-Semantic Transformer for Scene Text Recognition. BMVC Liang Diao, Xin Tang, Jun Wang, Rui Fang, Guotong Xie, Weifu Chen
2021	J	`jnl`	ALeRT-COVID: Attentive Lockdown-awaRe Transfer Learning for Predicting COVID-19 Pandemics in Different Countries. J. Heal. Informatics Res. Yingxue Li, Wenxiao Jia, Junmei Wang, Jianying Guo, Qin Liu, Xiang Li, Guotong Xie, Fei Wang
2021	J	`jnl`	An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2021	J	`jnl`	An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19. J. Biomed. Informatics Tiange Chen, Siwan Huang, Guanqiao Li, Yuan Zhang, Ye Li, Jinyi Zhu, Xuanling Shi, Xiang Li, Guotong Xie, Linqi Zhang
2021	—	`conf`	AutoTrans: Automating Transformer Design via Reinforced Architecture Search. NLPCC (1) Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie
2021	J	`jnl`	Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields. Neurocomputing Cheng Zhang, Jun Wang, Jian He, Peng Gao, Guotong Xie
2021	J	`jnl`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR 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
2021	—	`conf`	DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin
2021	J	`jnl`	DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin
2021	A*	`conf`	Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning. KDD Zhuo Liu, Yanxuan Li, Xingzhi Sun, Fei Wang, Gang Hu, Guotong Xie
2021	—	`conf`	Discovering Better Model Architectures for Medical Query Understanding. NAACL-HLT (Industry Papers) Wei Zhu, Yuan Ni, Xiaoling Wang, Guotong Xie
2021	—	`conf`	Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang
2021	—	`conf`	Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. ICHI Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie
2021	—	`conf`	GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning. EMNLP (1) Wei Zhu, Xiaoling Wang, Yuan Ni, Guotong Xie
2021	—	`conf`	Global Attention Decoder for Chinese Spelling Error Correction. ACL/IJCNLP (Findings) Zhao Guo, Yuan Ni, Keqiang Wang, Wei Zhu, Guotong Xie
2021	J	`jnl`	HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database J. Biol. Databases Curation 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
2021	—	`conf`	Inpatinets' FWA Detection: Mismatch between the Clinical Path and Medical Condition. BIBM Xuehan Jiang, Rui Tang, Xingzhi Sun, Gang Hu, Guotong Xie
2021	—	`conf`	Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. MICCAI (5) Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison
2021	J	`jnl`	Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. CoRR Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison
2021	—	`conf`	Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. MICCAI (2) Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021	J	`jnl`	Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. CoRR Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021	J	`jnl`	Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images. Comput. Medical Imaging Graph. Guyue Zhang, Kaixing Chen, Shangliang Xu, Po Chuan Cho, Yang Nan, Xin Zhou, Chuanfeng Lv, Changsheng Li, Guotong Xie
2021	J	`jnl`	Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. CoRR 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
2021	—	`conf`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie
2021	A*	`conf`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
2021	J	`jnl`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
2021	J	`jnl`	Prediction of Three-Dimensional Radiotherapy Optimal Dose Distributions for Lung Cancer Patients With Asymmetric Network. IEEE J. Biomed. Health Informatics Yan Shao, Xiaoying Zhang, Ge Wu, Qingtao Gu, Jiyong Wang, Yanchen Ying, Aihui Feng, Guotong Xie, Qing Kong, Zhiyong Xu
2021	A*	`conf`	Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. ICDM Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang
2021	—	`conf`	Representation Learning for Multi-omics Data with Heterogeneous Gene Regulatory Network. BIBM Xiaoshuang Liu, Xian Xu, Xiao Xu, Xiang Li, Guotong Xie
2021	—	`conf`	SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2021	J	`jnl`	SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2021	—	`conf`	Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 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
2021	J	`jnl`	Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR 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
2021	J	`jnl`	Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao
2021	—	`conf`	Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao
2021	J	`jnl`	Superpixel-Based Building Damage Detection from Post-earthquake Very High Resolution Imagery Using Deep Neural Networks. CoRR Jun Wang, Zhoujing Li, Yixuan Qiao, Qiming Qin, Peng Gao, Guotong Xie
2021	—	`conf`	Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. MICCAI (2) Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021	J	`jnl`	Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. CoRR Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021	J	`jnl`	Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie
2021	—	`conf`	paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization. BioNLP@NAACL-HLT Wei Zhu, Yilong He, Ling Chai, Yunxiao Fan, Yuan Ni, Guotong Xie, Xiaoling Wang
2020	—	`conf`	A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. ICHI Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie
2020	J	`jnl`	A Multi-directional Approach for Missing Value Estimation in Multivariate Time Series Clinical Data. J. Heal. Informatics Res. Xiao Xu, Xiaoshuang Liu, Yanni Kang, Xian Xu, Junmei Wang, Yuyao Sun, Quanhe Chen, Xiaoyu Jia, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
2020	—	`conf`	A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation. ISBI Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan
2020	Misc	`conf`	An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy. AMIA Yingxue Li, Tingyu Chen, Tiange Chen, Xiang Li, Caihong Zeng, Zhihong Liu, Guotong Xie
2020	J	`jnl`	AutoRC: Improving BERT Based Relation Classification Models via Architecture Search. CoRR Wei Zhu, Xipeng Qiu, Yuan Ni, Guotong Xie
2020	B	`conf`	Automatic Student Network Search for Knowledge Distillation. ICPR Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie
2020	—	`conf`	DeepComp: Which Competing Event Will Hit the Patient First? BIBM Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie
2020	—	`conf`	Estimating the number of imported COVID-19 risks by traffic from other districts using population mobility data. ICHI Xiaoshuang Liu, Xiao Xu, Xiang Li, Guotong Xie
2020	—	`conf`	Hierarchy-Constrained Network for Corneal Tissue Segmentation Based on Anterior Segment OCT Images. ISBI Yang Liu, Dongfang Li, Yan Guo, Xia Zhou, Yanling Dong, Zhen Guo, Guotong Xie, Chuanfeng Lv, Bin Lv
2020	Misc	`conf`	Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning. AMIA 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
2020	J	`jnl`	Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2020	—	`conf`	Lesion-Aware Segmentation Network for Atrophy and Detachment of Pathological Myopia on Fundus Images. ISBI Yan Guo, Rui Wang, Xia Zhou, Yang Liu, Lilong Wang, Chuanfeng Lv, Bin Lv, Guotong Xie
2020	—	`conf`	Memory-Augmented Anomaly Generative Adversarial Network for Retinal OCT Images Screening. ISBI Chengfen Zhang, Yue Wang, Xinyu Zhao, Yan Guo, Guotong Xie, Chuanfeng Lv, Bin Lv
2020	A	`conf`	Mining Infrequent High-Quality Phrases from Domain-Specific Corpora. CIKM Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie, Yanghua Xiao
2020	—	`conf`	OCT Image Quality Evaluation Based on Deep and Shallow Features Fusion Network. ISBI Rui Wang, Dongyi Fan, Bin Lv, Min Wang, Qienyuan Zhou, Chuanfeng Lv, Guotong Xie, Lilong Wang
2020	—	`conf`	PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie
2020	—	`conf`	Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images. MICCAI (5) Dongyi Fan, Chengfen Zhang, Bin Lv, Lilong Wang, Guanzheng Wang, Min Wang, Chuanfeng Lv, Guotong Xie
2020	—	`conf`	Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie
2020	A*	`conf`	Region Focus Network for Joint Optic Disc and Cup Segmentation. AAAI Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie
2020	A	`conf`	Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. BMVC Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li
2020	J	`jnl`	Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. CoRR Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie
2020	—	`conf`	Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. ISBI Suhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv
2019	—	`conf`	An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. MedInfo Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie
2019	—	`conf`	Analysis of the Health Information Needs of Diabetics in China. MedInfo Xiaofeng Zhou, Yuan Ni, Guotong Xie, Wei Zhu, Cai Chen, Tianhao Wang, Zhigang Pan
2019	—	`conf`	Estimating Missing Values in Multivariate-Time-Series Clinical Data using Gradient Boosting Tree on Temporal and Cross-variable Features. ICHI Xiao Xu, Junmei Wang, Xian Xu, Yuyao Sun, Quanhe Chen, Xiang Li, Guotong Xie
2019	—	`conf`	IEEE ICHI Data Analytics Challenge on Missing data Imputation by Amelia II. ICHI Xiaoshuang Liu, Xinyue Ma, Xiaoyan Meng, Xiang Li, Guotong Xie
2019	—	`conf`	Inpatient2Vec: Medical Representation Learning for Inpatients. BIBM Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jianmin Wang
2019	Misc	`conf`	Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment. AMIA 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
2019	—	`conf`	PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation. BioNLP@ACL Wei Zhu, Xiaofeng Zhou, Keqiang Wang, Xun Luo, Xiepeng Li, Yuan Ni, Guotong Xie
2019	—	`conf`	Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network. ICHI Wenxiao Jia, Xiang Li, Kewei Tan, Guotong Xie
2019	—	`conf`	Structure-Aware Noise Reduction Generative Adversarial Network for Optical Coherence Tomography Image. OMIA@MICCAI Yan Guo, Kang Wang, Suhui Yang, Yue Wang, Peng Gao, Guotong Xie, Chuanfeng Lv, Bin Lv
2019	—	`conf`	TASP: A Time-Phased Model for Sepsis Prediction. CinC Xiang Li, Yanni Kang, Xiaoyu Jia, Junmei Wang, Guotong Xie
2019	—	`conf`	The Dr-KGQA System for Automatically Answering Medication Related Questions in Chinese. ICHI Wei Zhu, Yuan Ni, Guotong Xie, Xiaofeng Zhou, Cai Chen
2019	—	`conf`	Using Temporal Feature Aggregation and Gradient Boosting Tree on Missing Data Imputation. ICHI Yanni Kang, Xiaoyu Jia, Xiang Li, Guotong Xie
2018	Misc	`conf`	Group-Based Trajectory Analysis of HIV-1 Patients. AMIA Yiying Hu, Xiang Li, Wenqing Lei, Guotong Xie
2017	—	`conf`	Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li
2017	Misc	`conf`	Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie
2017	—	`conf`	Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu
2017	J	`jnl`	Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories. CoRR Jing Mei, Eryu Xia, Xiang Li, Guotong Xie
2017	—	`conf`	Exploring transfer learning for gastrointestinal bleeding detection on small-size imbalanced endoscopy images. EMBC Xiuli Li, Hao Zhang, Xiaolu Zhang, Hao Liu, Guotong Xie
2017	—	`conf`	Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu
2017	—	`conf`	Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie
2017	—	`conf`	Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang
2017	Misc	`conf`	Interactive Machine Learning for Medical Research: A Framework to Enhance the Engagement of Clinical Researchers. AMIA Bibo Hao, Yiqin Yu, Wen Sun, Yingxue Li, Guotong Xie
2017	Misc	`conf`	Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach. AMIA Eryu Xia, Jing Mei, Guotong Xie, Xuejun Li, Zhibin Li, Meilin Xu
2017	—	`conf`	Lung nodule malignancy prediction using multi-task convolutional neural network. Computer-Aided Diagnosis Xiuli Li, Yueying Kao, Wei Shen, Xiang Li, Guotong Xie
2017	—	`conf`	Personal Health Self-Management in a Data Perspective. MedInfo Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu
2017	—	`conf`	Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu
2017	—	`conf`	Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang
2016	—	`conf`	Accelerate Healthcare Data Analytics: An Agile Practice to Perform Collaborative and Reproducible Analyses. MIE Bibo Hao, Wen Sun, Yiqin Yu, Jing Li, Gang Hu, Guotong Xie
2016	—	`conf`	Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
2016	A*	`conf`	Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie
2016	—	`conf`	Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang
2015	—	`conf`	Analysis of Care Pathway Variation Patterns in Patient Records. MIE Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang
2015	Misc	`conf`	Building Structured Personal Health Records from Photographs of Printed Medical Records. AMIA Xiang Li, Gang Hu, Xiaofei Teng, Guotong Xie
2015	A	`conf`	Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin
2015	—	`conf`	Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie
2014	—	`conf`	Automatic Variance Analysis of Multistage Care Pathways. MIE Xiang Li, Haifeng Liu, Shilei Zhang, Jing Mei, Guotong Xie, Yiqin Yu, Jing Li, Geetika T. Lakshmanan
2014	—	`conf`	Care Pathway Workbench: Evidence Harmonization from Guideline and Data. MIE Yiqin Yu, Haifeng Liu, Jing Li, Xiang Li, Jing Mei, Guotong Xie, Adam Perer, Fei Wang, Jianying Hu
2014	—	`conf`	Embracing case management for computerization of care pathways. MIE Jing Mei, Jing Li, Yiqin Yu, Xiang Li, Haifeng Liu, Guotong Xie
2014	—	`conf`	SPARQL Query Recommendation for Exploring RDF Repositories. CSWS Boliang Chen, Jing Mei, Wen Sun, Ruilong Su, Haofen Wang, Gang Hu, Guotong Xie, Yong Yu
2013	—	`conf`	Promoting Integrated Social and Medical Care through Semantic Integration and Context Visualization. CSWS Weijia Shen, Guotong Xie, Kavitha Srinivas, Anastasios Kementsietsidis, Jason B. Ellis, Thomas Erickson, Kevin McAuliffe, Gang Hu, Wen Sun
2010	—	`conf`	A Semantic Bayesian Network for Web Mashup Network Construction. GreenCom/CPSCom Chunying Zhou, Huajun Chen, Zhipeng Peng, Yuan Ni, Guotong Xie
2008	A	`conf`	A Semantic QoS-Aware Discovery Framework for Web Services. ICWS Qian Ma, Hao Wang, Ying Li, Guotong Xie, Feng Liu