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2020 – today
- 2024
- [j33]Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang:
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation. IEEE Trans. Artif. Intell. 5(9): 4595-4606 (2024) - [c61]Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye:
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. AAAI 2024: 17024-17032 - 2023
- [c60]Tengjun Liu
, Yaoyun Zhang
Transfer Learning based Efficient Schizophrenia Classification on Electroencephalogram (EEG) Signals: A Cross-Dataset Study. ICBBT 2023: 143-148 - [i5]Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang:
Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling. CoRR abs/2302.00855 (2023) - [i4]Hongyi Yuan, Yaoyun Zhang, Fei Huang, Songfang Huang:
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain. CoRR abs/2303.10328 (2023) - [i3]Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang:
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. CoRR abs/2306.13957 (2023) - [i2]Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye:
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. CoRR abs/2312.11318 (2023) - 2022
- [j32]Jiebin Chu
Disentangled representation for sequential treatment effect estimation. Comput. Methods Programs Biomed. 226: 107175 (2022) - [c59]Jingqi Wang, Yaoyun Zhang, Bin Lin, Huy Anh Pham, Long He, Jingcheng Du, Frank J. Manion:
LANN: an Integrated Online Annotation Tool for Information Extraction. ICHI 2022: 461-464 - 2021
- [j31]Jingqi Wang, Yuankai Ren, Zhi Zhang, Hua Xu, Yaoyun Zhang:
From Tokenization to Self-Supervision: Building a High-Performance Information Extraction System for Chemical Reactions in Patents. Frontiers Res. Metrics Anal. 6: 691105 (2021) - [j30]Jingqi Wang, Noor Abu-El-Rub, Josh Gray
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model. J. Am. Medical Informatics Assoc. 28(6): 1275-1283 (2021) - [c58]Jingqi Wang, Yaoyun Zhang:
VITAL: A semantic search engine for clinical text. AMIA 2021 - [c57]Na Hong, Yaoyun Zhang, Yuankai Ren, Li Hou, Changran Wang, Jing Li, Mui Van Zandt, Lei Liu:
Cross-Language Terminology Mapping Between ICD-10-CN and SNOMED-CT. MedInfo 2021: 42-46 - 2020
- [j29]Qiang Wei
Recognizing software names in biomedical literature using machine learning. Health Informatics J. 26(1) (2020) - [j28]Jiang Bian, Yaoyun Zhang, Cui Tao
Exploring the semantics in mental health research. Health Informatics J. 26(2): 723-725 (2020) - [j27]Fang Li
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria. Health Informatics J. 26(2): 726-737 (2020) - [j26]Jianhong Luo
Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics. Health Informatics J. 26(2): 738-752 (2020) - [j25]Qiang Wei
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) - [c56]Yaoyun Zhang, Jingqi Wang, Hua Xu:
LANN: An integrated online annotation tool for information extraction. AMIA 2020 - [c55]Jingqi Wang, William Christopher Mathews, Huy Anh Pham, Hua Xu, Yaoyun Zhang:
Opioid2FHIR: A system for extracting FHIR-compatible opioid prescriptions from clinical text. BIBM 2020: 1748-1751 - [c54]Yaoyun Zhang, Jing Li, Mui Van Zandt:
NCCD-RxNorm: Linking Chinese Clinical Drugs to International Drug Vocabulary. BIBM 2020: 1752-1756 - [c53]Jiayuan He, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Ameer Albahem, Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang, Mai Hoang Dao, Pedro Ruas, Andre Lamurias, Francisco M. Couto
An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents. CLEF (Working Notes) 2020 - [c52]Jingqi Wang, Yuankai Ren, Zhi Zhang, Yaoyun Zhang:
Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent. CLEF (Working Notes) 2020 - [i1]Jingqi Wang, Huy Anh Pham, Frank J. Manion, Masoud Rouhizadeh, Yaoyun Zhang:
COVID-19 SignSym: A fast adaptation of general clinical NLP tools to identify and normalize COVID-19 signs and symptoms to OMOP common data model. CoRR abs/2007.10286 (2020)
2010 – 2019
- 2019
- [j24]Yaoyun Zhang, Olivia R. Zhang, Rui Li, Aaron Flores, Salih Selek
Psychiatric stressor recognition from clinical notes to reveal association with suicide. Health Informatics J. 25(4) (2019) - [j23]Yanqiu Ge
Predicting post-stroke pneumonia using deep neural network approaches. Int. J. Medical Informatics 132 (2019) - [j22]Xiaohui Zhang, Yaoyun Zhang, Qin Zhang, Yuankai Ren, Tinglin Qiu, Jianhui Ma, Qiang Sun:
Extracting comprehensive clinical information for breast cancer using deep learning methods. Int. J. Medical Informatics 132 (2019) - [j21]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) - [j20]Yaoyun Zhang, Cui Tao
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018). BMC Medical Informatics Decis. Mak. 19-S(1): 21:1-21:3 (2019) - [j19]Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang, Hua Xu:
Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text. BMC Medical Informatics Decis. Mak. 19-S(1): 22:1-22:8 (2019) - [j18]Yang Xiang, Jun Xu, Yuqi Si
Time-sensitive clinical concept embeddings learned from large electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 139-148 (2019) - [j17]Yaoyun Zhang, Firat Tiryaki, Min Jiang, Hua Xu:
Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison. BMC Medical Informatics Decis. Mak. 19-S(3): 51-58 (2019) - [j16]V. G. Vinod Vydiswaran
Special issue of BMC medical informatics and decision making on health natural language processing. BMC Medical Informatics Decis. Mak. 19-S(3): 76:1-76:3 (2019) - [j15]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) - [c51]Jingqi Wang, Yaoyun Zhang, Hua Xu:
CLAMP-ATR: A deep learning pipeline for attribute recognition of clinical concepts. AMIA 2019 - [c50]Xiaohui Zhang, Yaoyun Zhang, Qin Zhang, Yuankai Ren, Jianhui Ma, Qiang Sun:
Precision medicine for breast cancer: extracting rich genetic and phenotypic information from Chinese clinical narratives. AMIA 2019 - [c49]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 - [c48]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
- [j14]Shumei Miao, Tingyu Xu, Yonghui Wu, Hui Xie, Jingqi Wang, Shenqi Jing, Yaoyun Zhang, Xiaoliang Zhang, Yinshuang Yang, Xin Zhang, Tao Shan, Li Wang
Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches. Int. J. Medical Informatics 119: 17-21 (2018) - [j13]Li Wang
Toward a normalized clinical drug knowledge base in China - applying the RxNorm model to Chinese clinical drugs. J. Am. Medical Informatics Assoc. 25(7): 809-818 (2018) - [j12]Hee-Jin Lee, Yaoyun Zhang, Min Jiang, Jun Xu, Cui Tao
Identifying direct temporal relations between time and events from clinical notes. BMC Medical Informatics Decis. Mak. 18(S-2): 23-34 (2018) - [j11]Jingcheng Du, Yaoyun Zhang, Jianhong Luo
Extracting psychiatric stressors for suicide from social media using deep learning. BMC Medical Informatics Decis. Mak. 18(S-2): 77-87 (2018) - [c47]Lingyi Tang, Yaoyun Zhang, Hua Xu:
Building a Biomedical Bilingual Parallel Corpus between Chinese and English from PubMed. AMIA 2018 - [c46]Jun Xu, Yaoyun Zhang, Jingcheng Du, Jingqi Wang, Firat Tiryaki, Hua Xu:
Detecting Anatomical Entities in Clinical Text. AMIA 2018 - [c45]Yaoyun Zhang, Qiang Wei, Jingqi Wang, Hua Xu:
CLAMP-PA: A machine learning based pre-annotation pipeline for corpus construction of clinical concepts. AMIA 2018 - [c44]Xiao Dong, Yaoyun Zhang, Hua Xu, Chunhua Weng:
Guideline-driven data quality assessment- A case study of warfarin management. AMIA 2018 - [c43]Jianhong Luo
Exploring Temporal Patterns of Suicidal Behavior on Twitter. ICHI Workshops 2018: 55-56 - [c42]Fang Li, Guozheng Rao
Term Standardization and Normalization for Research Domain Criteria (RDoC). ICHI Workshops 2018: 60-61 - [c41]Yaoyun Zhang, Firat Tiryaki, Min Jiang, Hua Xu:
Parsing Clinical Text: How Good are the state-of-the-art Deep Learning Based Parsers? ICHI Workshops 2018: 80-81 - 2017
- [j10]Muhammad Amith
Lightweight predicate extraction for patient-level cancer information and ontology development. BMC Medical Informatics Decis. Mak. 17(2): 23-34 (2017) - [c40]Hee-Jin Lee, Yaoyun Zhang, Kirk Roberts, Hua Xu:
Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation. AMIA 2017 - [c39]Lingyi Tang, Yaoyun Zhang, Hua Xu:
Identifying Disease Hierarchical Relation with Concept Embeddings and Distant Supervision. AMIA 2017 - [c38]Jun Xu, Yonghui Wu, Yaoyun Zhang, Qiang Wei, Hua Xu:
Detecting Contradictory and Consistent Citations in Biomedical Literature. AMIA 2017 - [c37]Jun Xu, Yonghui Wu, Yaoyun Zhang, Hua Xu:
Detecting Body Location Modifiers of Disorders in Clinical Texts via Sequence Labeling. AMIA 2017 - [c36]Yaoyun Zhang, Hee-Jin Lee, Yonghui Wu, Hua Xu:
Evaluating Word Embeddings from Multiple Domains for Symptom Recognition in Psychiatric Notes. AMIA 2017 - [c35]Jingcheng Du, Yaoyun Zhang, Cui Tao, Hua Xu:
A pilot study of mining association between psychiatric stressors and symptoms in tweets. BIBM 2017: 1254-1257 - [c34]Hee-Jin Lee, Yaoyun Zhang, Jun Xu, Cui Tao, Hua Xu, Min Jiang:
Towards practical temporal relation extraction from clinical notes: An analysis of direct temporal relations. BIBM 2017: 1272-1275 - [c33]Muhammad Amith
Knowledge-Based Approach for Named Entity Recognition in Biomedical Literature: A Use Case in Biomedical Software Identification. IEA/AIE (2) 2017: 386-395 - [c32]Olivia R. Zhang, Yaoyun Zhang, Jun Xu, Kirk Roberts, Xiang Y. Zhang, Hua Xu:
Interweaving Domain Knowledge and Unsupervised Learning for Psychiatric Stressor Extraction from Clinical Notes. IEA/AIE (2) 2017: 396-406 - [c31]Zongcheng Ji, Yaoyun Zhang, Jun Xu, Xiaoling Chen, Yonghui Wu, Hua Xu:
Comparing Cancer Information Needs for Consumers in the US and China. MedInfo 2017: 126-130 - [c30]Muhammad Amith
Expressing Biomedical Ontologies in Natural Language for Expert Evaluation. MedInfo 2017: 838-842 - 2016
- [j9]Jun Xu, Yonghui Wu, Yaoyun Zhang, Jingqi Wang, Hee-Jin Lee, Hua Xu:
CD-REST: a system for extracting chemical-induced disease relation in literature. Database J. Biol. Databases Curation 2016 (2016) - [j8]Yaoyun Zhang, Jun Xu, Hui Chen
Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning. Database J. Biol. Databases Curation 2016 (2016) - [j7]Yaoyun Zhang, Heng-Yi Wu, Jingcheng Du, Jun Xu, Jingqi Wang, Cui Tao
Extracting drug-enzyme relation from literature as evidence for drug drug interaction. J. Biomed. Semant. 7: 11 (2016) - [j6]Yaoyun Zhang, Heng-Yi Wu, Jingcheng Du, Jun Xu, Jingqi Wang, Cui Tao
Erratum to: Extracting drug-enzyme relation from literature as evidence for drug drug interaction. J. Biomed. Semant. 7: 21 (2016) - [j5]Yaoyun Zhang, Heng-Yi Wu, Jun Xu, Jingqi Wang, Ergin Soysal
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature. BMC Syst. Biol. 10(S-3): 67 (2016) - [j4]Jun Xu, Hee-Jin Lee, Jia Zeng, Yonghui Wu, Yaoyun Zhang, Liang-Chin Huang, Amber M. Johnson, Vijaykumar Holla, Ann M. Bailey, Trevor Cohen
Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov. J. Am. Medical Informatics Assoc. 23(4): 750-757 (2016) - [c29]Xiao Dong, Yaoyun Zhang, Hua Xu:
GWAS Finder: Search Engine for GWAS Datasets in Biomedical Literature. AMIA 2016 - [c28]Yonghui Wu, Jun Xu, Yaoyun Zhang, Hua Xu:
What Can Neural Networks Learn from Unlabeled Clinical Narratives? AMIA 2016 - [c27]Yaoyun Zhang, Min Jiang, Jingqi Wang, Hua Xu:
Semantic Role Labeling of Clinical Text: Comparing Syntactic Parsers and Features. AMIA 2016 - [c26]Hee-Jin Lee, Hua Xu, Jingqi Wang, Yaoyun Zhang, Sungrim Moon, Jun Xu, Yonghui Wu:
UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes. SemEval@NAACL-HLT 2016: 1292-1297 - 2015
- [j3]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) - [j2]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) - [c25]Jun Xu, Yaoyun Zhang, Yonghui Wu, Jingqi Wang, Xiao Dong, Hua Xu:
Citation Sentiment Analysis in Clinical Trial Papers. AMIA 2015 - [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]Yonghui Wu, Jun Xu, Min Jiang, Yaoyun Zhang, Hua Xu:
A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text. AMIA 2015 - [c22]Yonghui Wu, Jun Xu, Yaoyun Zhang, Hua Xu:
Clinical Abbreviation Disambiguation Using Neural Word Embeddings. BioNLP@IJCNLP 2015: 171-176 - [c21]Yang Xiang, Xiaolong Wang, Yaoyun Zhang, Yang Qin, Shixi Fan:
Distant Supervision for Relation Extraction via Group Selection. ICONIP (2) 2015: 250-258 - [c20]Yongshuai Hou, Cong Tan, Xiaolong Wang, Yaoyun Zhang, Jun Xu, Qingcai Chen:
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in Community Question Answering. SemEval@NAACL-HLT 2015: 196-202 - [c19]Jun Xu, Yaoyun Zhang, Jingqi Wang, Yonghui Wu, Min Jiang, Ergin Soysal, Hua Xu:
UTH-CCB: The Participation of the SemEval 2015 Challenge - Task 14. SemEval@NAACL-HLT 2015: 311-314 - 2014
- [c18]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 - [c17]Yukun Chen, Yaoyun Zhang, Qiaozhu Mei, Dead Account, Joshua C. Denny, Hua Xu:
A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions. AMIA 2014 - [c16]Yaoyun Zhang, Buzhou Tang, Min Jiang, Jingqi Wang, Yonghui Wu, Hua Xu:
Domain Adaptation for Semantic Role Labeling of Clinical Text. AMIA 2014 - [c15]Yaoyun Zhang, Jingqi Wang, Cui Tao, Hua Xu:
Ontology-based Normalization for Disease-Lab test Relation Extraction. ICBO 2014: 87-89 - [c14]Zengjian Liu, Xiaolong Wang, Qingcai Chen, Yaoyun Zhang, Yang Xiang:
A Chinese question answering system based on web search. ICMLC 2014: 816-820 - [c13]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 - 2013
- [c12]Yaoyun Zhang, Hua Xu:
Understanding Consumers' Information Needs about Breast Cancer by Analyzing Online Questions. AMIA 2013 - [c11]Yaoyun Zhang, Trevor Cohen, Min Jiang, Buzhou Tang, Hua Xu:
Evaluation of Vector Space Models for Medical Disorders Information Retrieval. CLEF (Working Notes) 2013 - [c10]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 - [c9]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 - [c8]Xiaoqiang Zhou, Yongshuai Hou, Xiaolong Wang, Bo Yuan, Yaoyun Zhang:
ICRCS at Intent2: Applying Rough Set and Semantic Relevance for Subtopic Mining. NTCIR 2013 - 2011
- [c7]Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Buzhou Tang:
Diversifying Question Recommendations in Community-Based Question Answering. ICONIP (3) 2011: 177-186 - [c6]Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Ruifeng Xu, Jun Xu, Shixi Fan:
Diversifying Information Needs in Results of Question Retrieval. IJCNLP 2011: 1432-1436 - [c5]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
- [c4]Yaoyun Zhang, Xiaolong Wang, Xuan Wang, Shixi Fan:
CogQTaxo: Modeling human cognitive process with a three-dimensional question taxonomy. ICMLC 2010: 3305-3310
2000 – 2009
- 2009
- [j1]Shixi Fan, Xuan Wang, Xiaolong Wang, Yaoyun Zhang:
A new question analysis approach for community question answering system. Int. J. Asian Lang. Process. 19(3): 95-108 (2009) - [c3]Yaoyun Zhang, Xuan Wang, Xiaolong Wang, Shixi Fan, Daoxu Zhang:
Using Question Classification to Model User Intentions of Different Levels. SMC 2009: 1153-1158 - [c2]Zhixin Hao, Xuan Wang, Lin Yao, Yaoyun Zhang:
Improved Classification Based on Predictive Association Rules. SMC 2009: 1165-1170 - 2008
- [c1]Shixi Fan, Yaoyun Zhang, Wing W. Y. Ng
Semantic Chunk Annotation for questions using Maximum Entropy. SMC 2008: 450-454
Coauthor Index
[j31] [j30] [j29] [j27] [j26] [j25] [c56] [c55] [j24] [j21] [j19] [j18] [j17] [j16] [j15] [c51] [c48] [j14] [j13] [j12] [j11] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j10] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [j9] [j8] [j7] [j6] [j5] [j4] [c29] [c28] [c27] [c26] [j3] [j2] [c25] [c24] [c23] [c22] [c19] [c17] [c16] [c15] [c13] [c12] [c11]
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