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2020 – today
- 2024
- [j62]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) - [j61]Jingyue Hu, Buzhou Tang, Nan Lyu, Yuxin He, Ying Xiong:
CMBEE: A constraint-based multi-task learning framework for biomedical event extraction. J. Biomed. Informatics 150: 104599 (2024) - [j60]Hui Zong, Rongrong Wu, Jiaxue Cha, Weizhe Feng, Erman Wu, Jiakun Li, Aibin Shao, Liang Tao, Zuofeng Li, Buzhou Tang, Bairong Shen:
Advancing Chinese biomedical text mining with community challenges. J. Biomed. Informatics 157: 104716 (2024) - [j59]Yi Ting Chen, Wanting Li, Buzhou Tang:
MRMI-TTS: Multi-Reference Audios and Mutual Information Driven Zero-Shot Voice Cloning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(5): 75 (2024) - [j58]Bowen Hu, Choujun Zhan, Buzhou Tang, Bingchuan Wang, Baiying Lei, Shuqiang Wang:
3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13271-13283 (2024) - [c68]Yuxin He, Buzhou Tang, Xiaoling Wang:
Generative Models for Automatic Medical Decision Rule Extraction from Text. EMNLP 2024: 7034-7048 - [c67]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. ICLR 2024 - [c66]Xianbing Zhao, Lizhen Qu, Tao Feng, Jianfei Cai, Buzhou Tang:
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis. ACM Multimedia 2024: 9729-9738 - [c65]Ziye Luo, Ying Xiong, Buzhou Tang:
Path-Aware Cross-Attention Network for Question Answering. PAKDD (2) 2024: 105-117 - [i18]Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue:
Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion. CoRR abs/2401.02993 (2024) - [i17]Xianbing Zhao, Soujanya Poria, Xuejiao Li, Yixin Chen, Buzhou Tang:
Toward Robust Multimodal Learning using Multimodal Foundational Models. CoRR abs/2401.13697 (2024) - [i16]Hui Zong, Rongrong Wu, Jiaxue Cha, Erman Wu, Jiakun Li, Liang Tao, Zuofeng Li, Buzhou Tang, Bairong Shen:
Advancing Biomedical Text Mining with Community Challenges. CoRR abs/2403.04261 (2024) - [i15]Xianbing Zhao, Lizhen Qu, Tao Feng, Jianfei Cai, Buzhou Tang:
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis. CoRR abs/2409.04473 (2024) - 2023
- [j57]Xuan Zang, Buzhou Tang:
Self-supervised Dynamic Graph Embedding with evolutionary neighborhood and community. Expert Syst. Appl. 228: 120409 (2023) - [j56]Xianbing Zhao, Yinxin Chen, Sicen Liu, Buzhou Tang:
Shared-Private Memory Networks For Multimodal Sentiment Analysis. IEEE Trans. Affect. Comput. 14(4): 2889-2900 (2023) - [j55]Wanting Li, Yiting Chen, Buzhou Tang:
Improving Generative Adversarial Network-based Vocoding through Multi-scale Convolution. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 230:1-230:10 (2023) - [j54]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) - [j53]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) - [c64]Yuxin He, Jingyue Hu, Buzhou Tang:
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences? ACL (1) 2023: 12542-12556 - [c63]Junjie Zhang, Xuan Zang, Hao Chen, Buzhou Tang:
E-HMFNet: A Knowledge-Enhanced Hierarchical Molecular Representation Fusion Network for Drug Recommendation. BIBM 2023: 1690-1695 - [c62]Yuxin He, Buzhou Tang:
BiSPN: Generating Entity Set and Relation Set Coherently in One Pass. EMNLP (Findings) 2023: 2066-2077 - [c61]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 - [c60]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 - [i14]Yuxin He, Jingyue Hu, Buzhou Tang:
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences? CoRR abs/2306.00502 (2023) - [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]Wei Zhu, Xiaoling Wang, Huanran Zheng, Mosha Chen, Buzhou Tang:
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain. CoRR abs/2310.14151 (2023) - [i11]Wei Zhu, Xiaoling Wang, Mosha Chen, Buzhou Tang:
Overview of the PromptCBLUE Shared Task in CHIP2023. CoRR abs/2312.17522 (2023) - 2022
- [j52]Yixin Chen, Xianbing Zhao, Buzhou Tang:
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph. Artif. Intell. Medicine 132: 102376 (2022) - [j51]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) - [j50]Jing Chen, Baotian Hu, Weihua Peng, Qingcai Chen, Buzhou Tang:
Biomedical relation extraction via knowledge-enhanced reading comprehension. BMC Bioinform. 23(1): 20 (2022) - [j49]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) - [j48]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) - [j47]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) - [j46]Ying Xiong, Weihua Peng, Qingcai Chen, Zhengxing Huang, Buzhou Tang:
A Unified Machine Reading Comprehension Framework for Cohort Selection. IEEE J. Biomed. Health Informatics 26(1): 379-387 (2022) - [c59]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 - [c58]Qingyao Li, Hui Xu, Hui Wang, Buzhou Tang:
S3 AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction. BIBM 2022: 777-780 - [c57]Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang:
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search. ECCV (14) 2022: 515-530 - [c56]Yuxin He, Buzhou Tang:
SetGNER: General Named Entity Recognition as Entity Set Generation. EMNLP 2022: 3074-3085 - [c55]Xianbing Zhao, Yixin Chen, Wanting Li, Lei Gao, Buzhou Tang:
MAG+: An Extended Multimodal Adaptation Gate for Multimodal Sentiment Analysis. ICASSP 2022: 4753-4757 - [c54]Su Dong, Shan Liu, Sicen Liu, Buzhou Tang:
Chinese Spelling Text Generation of Mathematical Formulas. ICASSP 2022: 7127-7131 - [c53]Xianbing Zhao, Yixin Chen, Yiting Chen, Sicen Liu, Buzhou Tang:
HMAI-BERT: Hierarchical Multimodal Alignment and Interaction Network-Enhanced BERT for Multimodal Sentiment Analysis. ICME 2022: 1-6 - [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) - 2021
- [j45]Ying Xiong, Shuai Chen, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan, Yi Zhou:
Improving deep learning method for biomedical named entity recognition by using entity definition information. BMC Bioinform. 22(1): 600 (2021) - [j44]Xin Liu, Qingcai Chen, Yan Liu, Joanna Siebert, Baotian Hu, Xiangping Wu, Buzhou Tang:
Decomposing word embedding with the capsule network. Knowl. Based Syst. 212: 106611 (2021) - [j43]Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
CapsTM: capsule network for Chinese medical text matching. BMC Medical Informatics Decis. Mak. 21-S(2): 94 (2021) - [j42]Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
Document-level medical relation extraction via edge-oriented graph neural network based on document structure and external knowledge. BMC Medical Informatics Decis. Mak. 21-S(7): 368 (2021) - [j41]Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen:
Drug knowledge discovery via multi-task learning and pre-trained models. BMC Medical Informatics Decis. Mak. 21-S(9): 251 (2021) - [c52]Yedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Yuan Ni:
A Deep Transfer Learning Method for Medical Question Matching. ICHI 2021: 515-516 - [c51]Lisai Zhang, Qingcai Chen, Joanna Siebert, Buzhou Tang:
Semi-supervised Visual Feature Integration for Language Models through Sentence Visualization. ICMI 2021: 682-686 - [c50]Xiaoyu Zhao, Buzhou Tang:
Multimodal Named Entity Recognition via Co-attention-Based Method with Dynamic Visual Concept Expansion. ICONIP (1) 2021: 476-487 - [i8]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) - [i7]Haokui Zhang, Wenze Hu, Xiaoyu Wang, Buzhou Tang:
Learnable Compression Network with Transformer for Approximate Nearest Neighbor Search. CoRR abs/2107.14415 (2021) - 2020
- [j40]Linfeng Li, Peng Wang, Jun Yan, Yao Wang, Simin Li, Jinpeng Jiang, Zhe Sun, Buzhou Tang, Tsung-Hui Chang, Shenghui Wang, Yuting Liu:
Real-world data medical knowledge graph: construction and applications. Artif. Intell. Medicine 103: 101817 (2020) - [j39]Dingming Wu, Xiaolong Wang, Jingyong Su, Buzhou Tang, Shaocong Wu:
A Labeling Method for Financial Time Series Prediction Based on Trends. Entropy 22(10): 1162 (2020) - [j38]Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang:
Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity. BMC Medical Informatics Decis. Mak. 20-S(1): 72 (2020) - [j37]Sicen Liu, Tao Liu, Haoyang Ding, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou:
A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction. Int. J. Mach. Learn. Cybern. 11(12): 2849-2856 (2020) - [j36]Xin Liu, Qingcai Chen, Xiangping Wu, Yang Hua, Jing Chen, Dongfang Li, Buzhou Tang, Xiaolong Wang:
Gated Semantic Difference Based Sentence Semantic Equivalence Identification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2770-2780 (2020) - [c49]Tao Li, Weihua Peng, Qingcai Chen, Xiaolong Wang, Buzhou Tang:
KEoG: A knowledge-aware edge-oriented graph neural network for document-level relation extraction. BIBM 2020: 1740-1747 - [c48]Pengjie Ding, Lei Wang, Yaobo Liang, Wei Lu, Linfeng Li, Chun Wang, Buzhou Tang, Jun Yan:
Cross-Lingual Transfer Learning for Medical Named Entity Recognition. DASFAA (1) 2020: 403-418 - [c47]Ying Xiong, Yuanhang Huang, Qingcai Chen, Xiaolong Wang, Yuan Nic, Buzhou Tang:
A Joint Model for Medical Named Entity Recognition and Normalization. IberLEF@SEPLN 2020: 499-504 - [c46]Xiaoyu Zhao, Ying Xiong, Buzhou Tang:
HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets. SMM4H@COLING 2020: 146-149 - [i6]Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin:
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. CoRR abs/2003.03875 (2020) - [i5]Xin Liu, Qingcai Chen, Yan Liu, Baotian Hu, Joanna Siebert, Xiangping Wu, Buzhou Tang:
Decomposing Word Embedding with the Capsule Network. CoRR abs/2004.13844 (2020)
2010 – 2019
- 2019
- [j35]Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang:
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. BMC Bioinform. 20(1): 330:1-330:14 (2019) - [j34]Ying Xiong, Xue Shi, Shuai Chen, Dehuan Jiang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan:
Cohort selection for clinical trials using hierarchical neural network. J. Am. Medical Informatics Assoc. 26(11): 1203-1208 (2019) - [j33]Xue Shi, Yingping Yi, Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Zongcheng Ji, Yaoyun Zhang, Hua Xu:
Extracting entities with attributes in clinical text via joint deep learning. J. Am. Medical Informatics Assoc. 26(12): 1584-1591 (2019) - [j32]Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei:
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics 11(1): 22:1-22:16 (2019) - [j31]Ying Shen, Kaiqi Yuan, Jingchao Dai, Buzhou Tang, Min Yang, Kai Lei:
KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. J. Medical Syst. 43(4): 92:1-92:9 (2019) - [j30]Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Hua Xu:
Temporal indexing of medical entity in Chinese clinical notes. BMC Medical Informatics Decis. Mak. 19-S(1): 17:1-17:11 (2019) - [j29]Ying Xiong, Zhongmin Wang, Dehuan Jiang, Xiaolong Wang, Qingcai Chen, Hua Xu, Jun Yan, Buzhou Tang:
A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text. BMC Medical Informatics Decis. Mak. 19-S(2): 179-184 (2019) - [j28]Buzhou Tang, Xiaolong Wang, Jun Yan, Qingcai Chen:
Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF. BMC Medical Informatics Decis. Mak. 19-S(3): 89-97 (2019) - [j27]Xue Shi, Dehuan Jiang, Yuanhang Huang, Xiaolong Wang, Qingcai Chen, Jun Yan, Buzhou Tang:
Family history information extraction via deep joint learning. BMC Medical Informatics Decis. Mak. 19-S(10): 277 (2019) - [c45]Changjian Liu, Jiaming Li, Yuhan Liu, Jiachen Du, Buzhou Tang, Ruifeng Xu:
Named Entity Recognition in Clinical Text Based on Capsule-LSTM for Privacy Protection. AIMS 2019: 166-178 - [c44]Buzhou Tang, Dehuan Jiang, Qingcai Chen, Xiaolong Wang, Jun Yan, Ying Shen:
De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models. AMIA 2019 - [c43]Ying Xiong, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Jun Yan:
A Study on Automatic Generation of Chinese Discharge Summary. BIBM 2019: 1681-1687 - [c42]Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou:
A Deep Learning-Based System for PharmaCoNER. BioNLP-OST@EMNLP-IJNCLP 2019: 33-37 - [c41]Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen:
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning. BioNLP-OST@EMNLP-IJNCLP 2019: 72-76 - [c40]Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Yaoyun Zhang, Buzhou Tang:
Assessing depression risk in Chinese microblogs: a corpus and machine learning methods. ICHI 2019: 1-5 - [c39]Dongfang Li, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan:
Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task. NLPCC (1) 2019: 29-41 - [c38]Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou:
A Deep Learning-Based System for the MEDDOCAN Task. IberLEF@SEPLN 2019: 761-767 - [c37]Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang:
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets. SMM4H@ACL 2019: 47-51 - [i4]Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu:
PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data. CoRR abs/1909.00672 (2019) - [i3]Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang:
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. CoRR abs/1912.00336 (2019) - 2018
- [j26]Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei:
EAPB: entropy-aware path-based metric for ontology quality. J. Biomed. Semant. 9(1): 20:1-20:11 (2018) - [j25]Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei:
CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. J. Biomed. Informatics 88: 1-10 (2018) - [j24]Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Jun Yan:
Chemical-induced disease extraction via recurrent piecewise convolutional neural networks. BMC Medical Informatics Decis. Mak. 18(S-2): 45-51 (2018) - [j23]Yi Chen, Xiaolong Wang, Buzhou Tang:
Structural regularity exploration in multidimensional networks via Bayesian inference. Neural Comput. Appl. 29(9): 413-424 (2018) - [j22]Buzhou Tang, Jianglu Hu, Xiaolong Wang, Qingcai Chen:
Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM-CRF. Wirel. Commun. Mob. Comput. 2018 (2018) - [c36]Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei:
Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. BIBM 2018: 757-800 - [c35]Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang:
LCQMC: A Large-scale Chinese Question Matching Corpus. COLING 2018: 1952-1962 - [c34]Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu, Buzhou Tang:
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification. EMNLP 2018: 4946-4951 - [c33]Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang:
Chinese Clinical Entity Recognition via Attention-Based CNN-LSTM-CRF. ICHI Workshops 2018: 68-69 - 2017
- [j21]Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Hua Xu, Baohua Wang, Dong Huang:
CNN-based ranking for biomedical entity normalization. BMC Bioinform. 18(S-11): 79-86 (2017) - [j20]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) - [j19]Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Zhe Wang, Hua Xu:
Entity recognition from clinical texts via recurrent neural network. BMC Medical Informatics Decis. Mak. 17(2): 53-61 (2017) - [c32]Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang:
Chemical-induced disease extraction via convolutional neural networks with attention. BIBM 2017: 1276-1279 - [c31]Bofang Li, Tao Liu, Zhe Zhao, Buzhou Tang, Aleksandr Drozd, Anna Rogers, Xiaoyong Du:
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. EMNLP 2017: 2421-2431 - 2016
- [j18]Haodi Li, Buzhou Tang, Qingcai Chen, Kai Chen, Xiaolong Wang, Baohua Wang, Zhe Wang:
HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V. Database J. Biol. Databases Curation 2016 (2016) - [j17]Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang:
Drug-Drug Interaction Extraction via Convolutional Neural Networks. Comput. Math. Methods Medicine 2016: 6918381:1-6918381:8 (2016) - [j16]Baotian Hu, Buzhou Tang, Qingcai Chen, Longbiao Kang:
A novel word embedding learning model using the dissociation between nouns and verbs. Neurocomputing 171: 1108-1117 (2016) - [c30]Zengjian Liu, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Haodi Li, Junzhao Bu, Jingzhi Jiang, Qiwen Deng, Suisong Zhu:
CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes. AMIA 2016 - [c29]Shengyu Liu, Kai Chen, Qingcai Chen, Buzhou Tang:
Dependency-based convolutional neural network for drug-drug interaction extraction. BIBM 2016: 1074-1080 - [c28]Haodi Li, Qingcai Chen, Buzhou Tang, Dong Huang, Xiaolong Wang, Zengjian Liu:
An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration. CCKS 2016: 104-109 - [c27]Yahui Zhao, Haodi Li, Qingcai Chen, Jianglu Hu, Guangpeng Zhang, Dong Huang, Buzhou Tang:
ICRC-DSEDL: A Film Named Entity Discovery and Linking System Based on Knowledge Bases. CCKS 2016: 205-213 - [c26]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
- [j15]Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang, Xiaoming Fan:
Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection. Comput. Math. Methods Medicine 2015: 913489:1-913489:9 (2015) - [j14]Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang:
Drug Name Recognition: Approaches and Resources. Inf. 6(4): 790-810 (2015) - [j13]Shengyu Liu, Buzhou Tang, Qingcai Chen, Xiaolong Wang:
Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries. Inf. 6(4): 848-865 (2015) - [j12]Yaoyun Zhang, Buzhou Tang, Min Jiang, Jingqi Wang, Hua Xu:
Domain adaptation for semantic role labeling of clinical text. J. Am. Medical Informatics Assoc. 22(5): 967-979 (2015) - [j11]Qingcai Chen, Haodi Li, Buzhou Tang, Xiaolong Wang, Xin Liu, Zengjian Liu, Shu Liu, Weida Wang, Qiwen Deng, Suisong Zhu, Yangxin Chen, Jingfeng Wang:
An automatic system to identify heart disease risk factors in clinical texts over time. J. Biomed. Informatics 58: S158-S163 (2015) - [j10]Zengjian Liu, Yangxin Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Haodi Li, Jingfeng Wang, Qiwen Deng, Suisong Zhu:
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields. J. Biomed. Informatics 58: S47-S52 (2015) - [j9]Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M. Lowe, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, P. Senthil Nathan, Slavko Zitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Ravikumar Komandur Elayavilli, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usie, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, Alfonso Valencia:
The CHEMDNER corpus of chemicals and drugs and its annotation principles. J. Cheminformatics 7(S-1): S2 (2015) - [j8]Buzhou Tang, Yudong Feng, Xiaolong Wang, Yonghui Wu, Yaoyun Zhang, Min Jiang, Jingqi Wang, Hua Xu:
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature. J. Cheminformatics 7(S-1): S8 (2015) - [j7]Min Jiang, Yang Huang, Jungwei Fan, Buzhou Tang, Joshua C. Denny, Hua Xu:
Parsing clinical text: how good are the state-of-the-art parsers? BMC Medical Informatics Decis. Mak. 15-S(S-1): S2 (2015) - [c25]Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou Tang, Xiaolong Wang:
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering. ACL (2) 2015: 713-718 - [c24]Buzhou Tang, Qingcai Chen, Xiaolong Wang, Yonghui Wu, Yaoyun Zhang, Jingqi Wang, Hua Xu:
Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods. AMIA 2015 - [c23]Yi Chen, Xiaolong Wang, Buzhou Tang, Junzhao Bu, Xin Xiang:
User Recommendation Based on Network Structure in Social Networks. ICONIP (3) 2015: 488-496 - [c22]Yi Chen, Xiaolong Wang, Buzhou Tang, Junzhao Bu, Qingcai Chen, Xin Xiang:
Structural Regularity Exploration in Multidimensional Networks. ICONIP (3) 2015: 532-540 - [i2]Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou Tang, Xiaolong Wang:
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering. CoRR abs/1506.06490 (2015) - 2014
- [j6]Jianbo Lei, Buzhou Tang, Xueqin Lu, Kaihua Gao, Min Jiang, Hua Xu:
Research and applications: A comprehensive study of named entity recognition in Chinese clinical text. J. Am. Medical Informatics Assoc. 21(5): 808-814 (2014) - [c21]Yaoyun Zhang, Buzhou Tang, Min Jiang, Jingqi Wang, Yonghui Wu, Hua Xu:
Domain Adaptation for Semantic Role Labeling of Clinical Text. AMIA 2014 - [c20]Min Jiang, Yang Huang, Jungwei Fan, Buzhou Tang, Joshua C. Denny, Hua Xu:
Parsing Clinical Text: How Good are the State-of-the-Art Parsers? DTMBIO@CIKM 2014: 1 - [c19]Shixi Fan, Lidan Chen, Xuan Wang, Buzhou Tang:
Shallow parsing with Hidden Markov Support Vector Machines. ICMLC 2014: 827-830 - [c18]Yaoyun Zhang, Jingqi Wang, Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Hua Xu:
UTH_CCB: A report for SemEval 2014 - Task 7 Analysis of Clinical Text. SemEval@COLING 2014: 802-806 - [c17]Yi Chen, Xiaolong Wang, Buzhou Tang, Ruifeng Xu, Bo Yuan, Xin Xiang, Junzhao Bu:
Identifying Opinion Leaders from Online Comments. SMP 2014: 231-239 - [i1]Yi Chen, Xiaolong Wang, Bo Yuan, Buzhou Tang:
Automatic structural regularities exploration in complex networks. CoRR abs/1403.0466 (2014) - 2013
- [j5]Buzhou Tang, Yonghui Wu, Min Jiang, Yukun Chen, Joshua C. Denny, Hua Xu:
A hybrid system for temporal information extraction from clinical text. J. Am. Medical Informatics Assoc. 20(5): 828-835 (2013) - [j4]Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang, Hua Xu:
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features. BMC Medical Informatics Decis. Mak. 13(S-1): S1 (2013) - [c16]Buzhou Tang, Yonghui Wu, Min Jiang, Joshua C. Denny, Hua Xu:
Recognizing and Encoding Discorder Concepts in Clinical Text using Machine Learning and Vector Space Model. CLEF (Working Notes) 2013 - [c15]Yonghui Wu, Buzhou Tang, Min Jiang, Sungrim Moon, Joshua C. Denny, Hua Xu:
Clinical Acronym/Abbreviation Normalization using a Hybrid Approach. CLEF (Working Notes) 2013 - [c14]Yaoyun Zhang, Trevor Cohen, Min Jiang, Buzhou Tang, Hua Xu:
Evaluation of Vector Space Models for Medical Disorders Information Retrieval. CLEF (Working Notes) 2013 - [c13]Yonghui Wu, Jianbo Lei, Wei-Qi Wei, Buzhou Tang, Joshua C. Denny, S. Trent Rosenbloom, Randolph A. Miller, Dario A. Giuse, Kai Zheng, Hua Xu:
Analyzing Differences between Chinese and English Clinical Text: A Cross-Institution Comparison of Discharge Summaries in Two Languages. MedInfo 2013: 662-666 - 2012
- [c12]Min Jiang, Joshua C. Denny, Buzhou Tang, Hongxin Cao, Hua Xu:
Extracting Semantic Lexicons from Discharge Summaries using Machine Learning and the C-Value Method. AMIA 2012 - [c11]Buzhou Tang, Yonghui Wu, Min Jiang, Hua Xu:
Clinical Entity Recognition Using Structural Support Vector Machines. AMIA 2012 - [c10]Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang, Hua Xu:
Clinical entity recognition using structural support vector machines with rich features. DTMBIO@CIKM 2012: 13-20 - 2011
- [j3]Lei Lin, Bin Liu, Xiaolong Wang, Xuan Wang, Buzhou Tang:
Protein Remote Homology Detection and Fold Recognition based on Features Extracted from Frequency Profiles. J. Comput. 6(2): 321-328 (2011) - [c9]Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Buzhou Tang:
Diversifying Question Recommendations in Community-Based Question Answering. ICONIP (3) 2011: 177-186 - [c8]Dandan Wang, Qingcai Chen, Xiaolong Wang, Buzhou Tang:
Macro Features Based Text Categorization. ICONIP (2) 2011: 211-219 - [c7]Yaoyun Zhang, Jun Xu, Chenlong Liu, Xiaolong Wang, Ruifeng Xu, Qingcai Chen, Xuan Wang, Yongshuai Hou, Buzhou Tang:
ICRC_HITSZ at RITE: Leveraging Multiple Classifiers Voting for Textual Entailment Recognition. NTCIR 2011 - 2010
- [c6]Buzhou Tang, Xiaolong Wang, Xuan Wang, Bo Yuan, Shixi Fan:
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text. CoNLL Shared Task 2010: 13-17 - [c5]Buzhou Tang, Qingcai Chen, Xuan Wang, Xiaolong Wang:
Reranking for Stacking Ensemble Learning. ICONIP (1) 2010: 575-584
2000 – 2009
- 2009
- [j2]Bin Liu, Xiaolong Wang, Lei Lin, Buzhou Tang, Qiwen Dong, Xuan Wang:
Prediction of protein binding sites in protein structures using hidden Markov support vector machine. BMC Bioinform. 10: 381 (2009) - [j1]Buzhou Tang, Xuan Wang, Xiaohong Wang:
Chinese Word Segmentation Based on Large Margin Methods. Int. J. Asian Lang. Process. 19(2): 55-68 (2009) - [c4]Buzhou Tang, Xuan Wang, Xiaolong Wang:
Protein Secondary Structure Prediction Using Large Margin Methods. ACIS-ICIS 2009: 142-146 - [c3]Buzhou Tang, Lu Li, Xinxin Li, Xuan Wang, Xiaolong Wang:
A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models. CoNLL Shared Task 2009: 109-113 - 2008
- [c2]Yisu Xu, Xuan Wang, Buzhou Tang, Xiaolong Wang:
Chinese Unknown Word Recognition Using Improved Conditional Random Fields. ISDA (2) 2008: 363-367 - [c1]Buzhou Tang, Xuan Wang, Xiaolong Wang:
Chunking with Max-Margin Markov Networks. PACLIC 2008: 474-480
Coauthor Index
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