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Yang Xiang 0003
Person information
- affiliation: Pengcheng Laboratory, Shenzhen, China
- affiliation (former): Harbin Institute of Technology, Shenzhen Graduate School, Intelligent Computing Research Center, China
Other persons with the same name
- Yang Xiang — disambiguation page
- Yang Xiang 0001 — Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, VIC, Australia (and 4 more)
- Yang Xiang 0002 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Yang Xiang 0004 — University of Guelph, School of Computer Science, Canada (and 5 more)
- Yang Xiang 0005 — Tongji University, State Key Laboratory of Marine Geology, Shanghai, China
Other persons with a similar name
- Xiangyang Li (aka: Xiang-Yang Li) — disambiguation page
- Xiang-Yang Li 0001 (aka: Xiangyang Li 0001) — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (and 1 more)
- Xiang-Yang Li 0003 — China University of Petroleum-Beijing, College of Geophysics, China (and 1 more)
- Alex X. Liu (aka: Xiang-Yang Alex Liu) — Michigan State University, East Lansing, Department of Computer Science and Engineering (and 1 more)
- Xiangyang Wang (aka: Xiang-yang Wang, Xiang-Yang Wang) — disambiguation page
- Xiangyang Wang 0001 (aka: Xiang-Yang Wang 0001) — Liaoning Normal University, Dalian, China
- Bing Xiang Yang
- Shengxiang Yang (aka: Sheng-Xiang Yang) — De Montfort University, School of Computer Science and Informatics, Leicester, UK (and 4 more)
- Shun Xiang Yang
- Xiang Yang
- show all similar names
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2020 – today
- 2024
- [j37]Hao Chen, Junjie Zhang, Yang Xiang, Shengye Lu, Buzhou Tang:
TSOANet: Time-Sensitive Orthogonal Attention Network for medical event prediction. Artif. Intell. Medicine 153: 102885 (2024) - [j36]Xutao Guo, Yang Xiang, Yanwu Yang, Chenfei Ye, Yue Yu, Heather Ting Ma:
Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Comput. Biol. Medicine 180: 108933 (2024) - [j35]Xianjie Mo, Yang Xiang, Youcheng Pan, Yongshuai Hou, Ping Luo:
MGCoT: Multi-Grained Contextual Transformer for table-based text generation. Expert Syst. Appl. 250: 123742 (2024) - [j34]Jianping He, Fang Li, Jianfu Li, Xinyue Hu, Yi Nian, Yang Xiang, Jingqi Wang, Qiang Wei, Yiming Li, Hua Xu, Cui Tao:
Prompt Tuning in Biomedical Relation Extraction. J. Heal. Informatics Res. 8(2): 206-224 (2024) - [j33]Tiantian Zhu, Yang Qin, Ming Feng, Qingcai Chen, Baotian Hu, Yang Xiang:
BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 374-385 (2024) - [j32]Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, Xiangping Wu:
BaSFormer: A Balanced Sparsity Regularized Attention Network for Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2125-2140 (2024) - [j31]Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang, Heather Ting Ma:
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning. IEEE Trans. Medical Imaging 43(1): 108-121 (2024) - [c33]Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song:
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization. AAAI 2024: 18363-18371 - [c32]Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, Yukang Lin:
Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models. LREC/COLING 2024: 10565-10577 - [c31]Xianjie Mo, Yang Xiang, Youcheng Pan, Yongshuai Hou, Ping Luo:
Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction. IJCNN 2024: 1-9 - 2023
- [j30]Meng Zhang, Madhuri Sankaranarayanapillai, Jingcheng Du, Yang Xiang, Frank J. Manion, Marcelline R. Harris, Cooper Stansbury, Huy Anh Pham, Cui Tao:
Machine learning-based donor permission extraction from informed consent documents. BMC Bioinform. 24(1): 477 (2023) - [j29]Tiantian Zhu, Yang Xiang, Qingcai Chen, Yang Qin, Baotian Hu, Wentai Zhang:
Fine-grained biomedical knowledge negation detection via contrastive learning. Knowl. Based Syst. 272: 110575 (2023) - [j28]Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma:
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging. Medical Image Anal. 89: 102916 (2023) - [j27]Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang:
Multimodal Data Matters: Language Model Pre-Training Over Structured and Unstructured Electronic Health Records. IEEE J. Biomed. Health Informatics 27(1): 504-514 (2023) - [j26]Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang:
SHAPE: A Sample-Adaptive Hierarchical Prediction Network for Medication Recommendation. IEEE J. Biomed. Health Informatics 27(12): 6018-6028 (2023) - [c30]Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang:
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. EMNLP 2023: 5742-5753 - [c29]Ying Xiong, Xin Yang, Linjing Liu, Ka-Chun Wong, Qingcai Chen, Yang Xiang, Buzhou Tang:
EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation. EMNLP (Findings) 2023: 8760-8771 - [c28]Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang, Ting Ma:
Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks. ICASSP 2023: 1-5 - [c27]Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Bo Peng, Hua Huang, Yang Xiang, Ting Ma:
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation. ISBI 2023: 1-5 - [c26]Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye, Heather Ting Ma:
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. MIDL 2023: 1006-1018 - [c25]Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang:
TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. WWW 2023: 1714-1722 - [i13]Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang:
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation. CoRR abs/2309.05675 (2023) - [i12]Shuoran Jiang, Qingcai Chen, Yang Xiang, Youcheng Pan, Xiangping Wu:
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning. CoRR abs/2310.16062 (2023) - [i11]Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song:
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization. CoRR abs/2312.15184 (2023) - 2022
- [j25]Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang:
CATNet: Cross-event attention-based time-aware network for medical event prediction. Artif. Intell. Medicine 134: 102440 (2022) - [j24]Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang:
Multi-channel fusion LSTM for medical event prediction using EHRs. J. Biomed. Informatics 127: 104011 (2022) - [j23]Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang:
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. J. Biomed. Informatics 128: 104035 (2022) - [j22]Hao Peng, Ying Xiong, Yang Xiang, Hui Wang, Hui Xu, Buzhou Tang:
Biomedical named entity normalization via interaction-based synonym marginalization. J. Biomed. Informatics 136: 104238 (2022) - [c24]Evan Yu, Cui Tao, Jingcheng Du, Degui Zhi, Yang Xiang, Kayo Fujimoto, Xi Luo, John A. Schneider:
Combining Transfer Learning with Graph Attention Models for HIV Risk Prediction. AMIA 2022 - [c23]Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma:
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation. BIBM 2022: 977-984 - [c22]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma:
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. BIBM 2022: 1343-1349 - [c21]Jianping He, Fang Li, Xinyue Hu, Jianfu Li, Yi Nian, Jingqi Wang, Yang Xiang, Qiang Wei, Hua Xu, Cui Tao:
Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning. ICHI 2022: 608-609 - [c20]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma:
Estimating Brain Age with Global and Local Dependencies. ICIP 2022: 56-60 - [c19]Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang:
Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. IJCAI 2022: 4036-4042 - [c18]Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang, Ting Ma:
Regularizing Brain Age Prediction via Gated Knowledge Distillation. MIDL 2022: 1430-1443 - [i10]Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang:
Two heads are better than one: Enhancing medical representations by pre-training over structured and unstructured electronic health records. CoRR abs/2201.10113 (2022) - [i9]Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang:
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction. CoRR abs/2204.13847 (2022) - [i8]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma:
Estimating Brain Age with Global and Local Dependencies. CoRR abs/2209.08933 (2022) - [i7]Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma:
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. CoRR abs/2210.13721 (2022) - [i6]Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma:
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation. CoRR abs/2210.17408 (2022) - 2021
- [j21]Desheng Wang, Weizhe Zhang, Xiaofeng Wang, Yang Xiang, Yu-Chu Tian:
Kalman prediction-based virtual network experimental platform for smart living. Comput. Commun. 177: 156-165 (2021) - [j20]Jingcheng Du, Yang Xiang, Madhuri Sankaranarayanapillai, Meng Zhang, Jingqi Wang, Yuqi Si, Huy Anh Pham, Hua Xu, Yong Chen, Cui Tao:
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. J. Am. Medical Informatics Assoc. 28(7): 1393-1400 (2021) - [j19]Jingcheng Du, Qing Wang, Jingqi Wang, Prerana Ramesh, Yang Xiang, Xiaoqian Jiang, Cui Tao:
COVID-19 trial graph: a linked graph for COVID-19 clinical trials. J. Am. Medical Informatics Assoc. 28(9): 1964-1969 (2021) - [j18]Tiantian Zhu, Yang Qin, Yang Xiang, Baotian Hu, Qingcai Chen, Weihua Peng:
Distantly supervised biomedical relation extraction using piecewise attentive convolutional neural network and reinforcement learning. J. Am. Medical Informatics Assoc. 28(12): 2571-2581 (2021) - [j17]Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu, Yang Xiang:
Neural data-to-text generation with dynamic content planning. Knowl. Based Syst. 215: 106610 (2021) - [j16]Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. npj Digit. Medicine 4 (2021) - [j15]Lei Pan, Chengxun He, Yang Xiang, Le Sun:
Multiscale Adjacent Superpixel-Based Extended Multi-Attribute Profiles Embedded Multiple Kernel Learning Method for Hyperspectral Classification. Remote. Sens. 13(1): 50 (2021) - [i5]Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma:
GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph. CoRR abs/2107.00395 (2021) - [i4]Laila Rasmy, Jie Zhu, Zhiheng Li, Xin Hao, Hong Thoai Tran, Yujia Zhou, Firat Tiryaki, Yang Xiang, Hua Xu, Degui Zhi:
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data. CoRR abs/2110.00998 (2021) - [i3]Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang:
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives. CoRR abs/2111.04898 (2021) - 2020
- [j14]Zhiheng Li, Zhihao Yang, Yang Xiang, Ling Luo, Yuanyuan Sun, Hongfei Lin:
Exploiting sequence labeling framework to extract document-level relations from biomedical texts. BMC Bioinform. 21(1): 125 (2020) - [j13]Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Tao:
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria. Health Informatics J. 26(2): 726-737 (2020) - [j12]Qiang Wei, Zongcheng Ji, Zhiheng Li, Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang, Cui Tao, Hua Xu:
A study of deep learning approaches for medication and adverse drug event extraction from clinical text. J. Am. Medical Informatics Assoc. 27(1): 13-21 (2020) - [j11]Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu:
Deep learning in clinical natural language processing: a methodical review. J. Am. Medical Informatics Assoc. 27(3): 457-470 (2020) - [j10]Fang Li, Jingcheng Du, Yongqun He, Hsing-yi Song, Mohcine Madkour, Guozheng Rao, Yang Xiang, Yi Luo, Henry W. Chen, Sijia Liu, Liwei Wang, Hongfang Liu, Hua Xu, Cui Tao:
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events. J. Am. Medical Informatics Assoc. 27(7): 1046-1056 (2020) - [j9]Laila Rasmy, Firat Tiryaki, Yujia Zhou, Yang Xiang, Cui Tao, Hua Xu, Degui Zhi:
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies. J. Am. Medical Informatics Assoc. 27(10): 1593-1599 (2020) - [j8]Zhiheng Li, Zhihao Yang, Ling Luo, Yang Xiang, Hongfei Lin:
Exploiting adversarial transfer learning for adverse drug reaction detection from texts. J. Biomed. Informatics 106: 103431 (2020) - [c17]Youcheng Pan, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang:
Learning to Generate Diverse Questions from Keywords. ICASSP 2020: 8224-8228 - [i2]Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi:
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction. CoRR abs/2005.12833 (2020)
2010 – 2019
- 2019
- [j7]Yang Xiang, Kayo Fujimoto, John A. Schneider, Yuxi Jia, Degui Zhi, Cui Tao:
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men. J. Am. Medical Informatics Assoc. 26(11): 1263-1271 (2019) - [j6]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. J. Am. Medical Informatics Assoc. 26(11): 1279-1285 (2019) - [j5]Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, W. Jim Zheng, Degui Zhi, Cui Tao, Hua Xu:
Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 139-148 (2019) - [j4]Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu:
Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text. BMC Medical Informatics Decis. Mak. 19-S(5): 8 (2019) - [c16]Fang Li, Mingqiang Wang, Huy Anh Pham, Yang Xiang, Muhammad Tuan Amith, Cui Tao, Jingcheng Du, Guozheng Rao:
Systematic Design of Drug Repurposing-Oriented Alzheimer's Disease Ontology. ICHI 2019: 1-5 - [c15]Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu, Hua Xu:
Detect Attributes of Medical Concepts via Sequence Labeling. ICHI 2019: 1-2 - 2018
- [c14]Jingcheng Du, Fang Li, Yuxi Jia, Yang Xiang, Lu Tang, Sahiti Myneni, Cui Tao:
Mining Human Papillomavirus Vaccination Health Beliefs from Twitter Using Attentive Recurrent Neural Network. AMIA 2018 - [c13]Yang Xiang, Jun Xu, Jingcheng Du, Degui Zhi, Cui Tao:
Asthma Onset Prediction Using Structured EMR Data. AMIA 2018 - [c12]Qing Cong, Zhiyong Feng, Fang Li, Yang Xiang, Guozheng Rao, Cui Tao:
X-A-BiLSTM: a Deep Learning Approach for Depression Detection in Imbalanced Data. BIBM 2018: 1624-1627 - [c11]Fang Li, Guozheng Rao, Jingcheng Du, Yang Xiang, Yaoyun Zhang, Salih Selek, Jane Elizabeth Hamilton, Hua Xu, Cui Tao:
Term Standardization and Normalization for Research Domain Criteria (RDoC). ICHI Workshops 2018: 60-61 - [i1]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. CoRR abs/1811.05475 (2018) - 2017
- [j3]Yongshuai Hou, Yang Xiang, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Fangze Zhu:
Identifying High Quality Document-Summary Pairs through Text Matching. Inf. 8(2): 64 (2017) - [j2]Yang Xiang, Qingcai Chen, Xiaolong Wang, Yang Qin:
Answer Selection in Community Question Answering via Attentive Neural Networks. IEEE Signal Process. Lett. 24(4): 505-509 (2017) - [c10]Zhihui Zheng, Daohe Lu, Qingcai Chen, Haijun Yang, Yang Xiang, Youcheng Pan, Wei Zhong:
Answer Selection in Community Question Answering by Normalizing Support Answers. NLPCC 2017: 672-682 - 2016
- [j1]Yang Xiang, Qingcai Chen, Xiaolong Wang, Yang Qin:
Distant Supervision for Relation Extraction with Ranking-Based Methods . Entropy 18(6): 204 (2016) - [c9]Yang Xiang, Xiaoqiang Zhou, Qingcai Chen, Zhihui Zheng, Buzhou Tang, Xiaolong Wang, Yang Qin:
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF. COLING 2016: 1231-1241 - 2015
- [c8]Yang Xiang, Xiaolong Wang, Wenying Han, Qinghua Hong:
Chinese Grammatical Error Diagnosis Using Ensemble Learning. NLP-TEA@ACL/IJCNLP 2015: 99-104 - [c7]Yang Xiang, Xiaolong Wang, Yaoyun Zhang, Yang Qin, Shixi Fan:
Distant Supervision for Relation Extraction via Group Selection. ICONIP (2) 2015: 250-258 - [c6]Xiaoqiang Zhou, Baotian Hu, Jiaxin Lin, Yang Xiang, Xiaolong Wang:
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge. SemEval@NAACL-HLT 2015: 210-214 - 2014
- [c5]Yang Xiang, Yaoyun Zhang, Xiaoqiang Zhou, Xiaolong Wang, Yang Qin:
Problematic Situation Analysis and Automatic Recognition for Chinese Online Conversational System. CIPS-SIGHAN 2014: 43-51 - [c4]Zengjian Liu, Xiaolong Wang, Qingcai Chen, Yaoyun Zhang, Yang Xiang:
A Chinese question answering system based on web search. ICMLC 2014: 816-820 - 2013
- [c3]Yang Xiang, Bo Yuan, Yaoyun Zhang, Xiaolong Wang, Wen Zheng, Chongqiang Wei:
A Hybrid Model For Grammatical Error Correction. CoNLL Shared Task 2013: 115-122 - [c2]Yang Xiang, Yaoyun Zhang, Xiaolong Wang, Chongqiang Wei, Wen Zheng, Xiaoqiang Zhou, Yuxiu Hu, Yang Qin:
Grammatical Error Correction Using Feature Selection and Confidence Tuning. IJCNLP 2013: 1067-1071 - 2012
- [c1]Bo Yuan, Qingcai Chen, Yang Xiang, Xiaolong Wang, Liping Ge, Zengjian Liu, Meng Liao, Xianbo Si:
A Mixed Deterministic Model for Coreference Resolution. EMNLP-CoNLL Shared Task 2012: 76-82
Coauthor Index
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