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2020 – today
- 2024
- [j43]Liangliang Liu, Yi Guan, Zi Wang, Rujia Shen, Guowei Zheng, Xuelian Fu, Xuehui Yu, Jingchi Jiang:
An interactive food recommendation system using reinforcement learning. Expert Syst. Appl. 254: 124313 (2024) - [j42]Jing Xie, Xin Li, Ye Yuan, Yi Guan, Jingchi Jiang, Xitong Guo, Xin Peng:
Knowledge-based dynamic prompt learning for multi-label disease diagnosis. Knowl. Based Syst. 286: 111395 (2024) - [j41]Yongtao Ye, Marcus H. Shum, Joseph L. Tsui, Guangchuang Yu, David K. Smith, Huachen Zhu, Joseph T. Wu, Yi Guan, Tommy Tsan-Yuk Lam:
Robust expansion of phylogeny for fast-growing genome sequence data. PLoS Comput. Biol. 20(2) (2024) - [j40]Zongrui Tian, Pengpeng Zhi, Yi Guan, Xinghua He:
An active learning Kriging-based multipoint sampling strategy for structural reliability analysis. Qual. Reliab. Eng. Int. 40(1): 524-549 (2024) - [j39]Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang:
EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis. IEEE J. Biomed. Health Informatics 28(10): 6141-6154 (2024) - [c55]Xue Li, Jia Su, Yang Yang, Zipeng Gao, Xinyu Duan, Yi Guan:
Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation. AAAI 2024: 18573-18581 - [i18]Jingchi Jiang, Rujia Shen, Boran Wang, Yi Guan:
Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks. CoRR abs/2405.17458 (2024) - [i17]Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang:
Causal prompting model-based offline reinforcement learning. CoRR abs/2406.01065 (2024) - [i16]Liangliang Liu, Yi Guan, Boran Wang, Rujia Shen, Yi Lin, Chaoran Kong, Lian Yan, Jingchi Jiang:
ProSpec RL: Plan Ahead, then Execute. CoRR abs/2407.21359 (2024) - [i15]Rujia Shen, Boran Wang, Chao Zhao, Yi Guan, Jingchi Jiang:
Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks. CoRR abs/2408.08023 (2024) - 2023
- [j38]Jingchi Jiang, Xuehui Yu, Boran Wang, Linjiang Ma, Yi Guan:
DECAF: An interpretable deep cascading framework for ICU mortality prediction. Artif. Intell. Medicine 138: 102437 (2023) - [j37]Yang Yang, Xue Li, Yi Guan, Haotian Wang, Chaoran Kong, Jingchi Jiang:
LHP: Logical hypergraph link prediction. Expert Syst. Appl. 222: 119842 (2023) - [j36]Xuehui Yu, Yi Guan, Lian Yan, Shulang Li, Xuelian Fu, Jingchi Jiang:
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics. Expert Syst. Appl. 228: 120156 (2023) - [j35]Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang:
DED: Diagnostic Evidence Distillation for acne severity grading on face images. Expert Syst. Appl. 228: 120312 (2023) - [c54]Jing Xie, Xin Li, Ye Yuan, Yi Guan, Xitong Guo, Yi Lin:
Disease Diagnosis based on Multiple Semantic Relationship Prompt Subgraph. BIBM 2023: 3398-3405 - [c53]Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang:
Efficient Evidence-Based Dialogue System for Medical Diagnosis. BIBM 2023: 3406-3413 - [c52]Zeming Zhang, Zhuoran Liu, Jingchi Jiang, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin:
Interpretable Diagnosis of Face Acne via Complementation Learning of Evidence Localization and Severity Level Grading. BIBM 2023: 3414-3421 - [c51]Zeming Zhang, Jingchi Jiang, Ruyue Dong, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin:
Clarifying Confusion in Acne Severity Grading via Visualized Aggregation and Separation of Deep Representation. BIBM 2023: 3430-3437 - [i14]Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, Yi Guan:
Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. CoRR abs/2312.04854 (2023) - 2022
- [j34]Jingchi Jiang, Tao Wang, Boran Wang, Linjiang Ma, Yi Guan:
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning. Artif. Intell. Medicine 130: 102329 (2022) - [j33]Lang Zhou, Tingze Feng, Shuangbin Xu, Fangluan Gao, Tommy T. Lam, Qianwen Wang, Tianzhi Wu, Huina Huang, Li Zhan, Lin Li, Yi Guan, Zehan Dai, Guangchuang Yu:
ggmsa: a visual exploration tool for multiple sequence alignment and associated data. Briefings Bioinform. 23(4) (2022) - [j32]Ehwa Yang, Chan Kyo Kim, Yi Guan, Bang-Bon Koo, Jae-Hun Kim:
3D multi-scale residual fully convolutional neural network for segmentation of extremely large-sized kidney tumor. Comput. Methods Programs Biomed. 215: 106616 (2022) - [j31]Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Haiyan You, Xue Cheng, Bingmei Liu, Gongning Luo:
KIEGLFN: A unified acne grading framework on face images. Comput. Methods Programs Biomed. 221: 106911 (2022) - [c50]Jingchi Jiang, Lian Yan, Xuehui Yu, Yi Guan:
Contextual Policy Transfer in Meta-Reinforcement Learning via Active Learning. WISA 2022: 354-365 - [c49]Xue Li, Yang Yang, Mingchen Ye, Yi Guan, Xuehui Yu, Jingchi Jiang:
Unified Fine-Grained Biomedical Entity Recognition as a Combination of Boundary Detection and Sequence Generation. BIBM 2022: 483-490 - [c48]Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng:
CGPG-GAN: An Acne Lesion Inpainting Model for Boosting Downstream Diagnosis. BIBM 2022: 1634-1638 - [c47]Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng:
Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge. BIBM 2022: 1639-1643 - [c46]Haotian Wang, Yi Guan, Linjiang Ma, Xin Li, Jing Xie, Jingchi Jiang:
Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis. BIBM 2022: 2542-2549 - [c45]Xuehui Yu, Yi Guan, Xinmiao Yu, Xue Li, Jingchi Jiang:
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System. BIBM 2022: 2556-2563 - [i13]Xuehui Yu, Jingchi Jiang, Xinmiao Yu, Yi Guan, Xue Li:
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System. CoRR abs/2209.07368 (2022) - 2021
- [j30]Bill Lee, David K. Smith, Yi Guan:
Alignment free sequence comparison methods and reservoir host prediction. Bioinform. 37(19): 3337-3342 (2021) - [j29]Yang Yang, Hongxing Huo, Jingchi Jiang, Xuemei Sun, Yi Guan, Xitong Guo, Xiang Wan, Shengping Liu:
Clinical decision-making framework against over-testing based on modeling implicit evaluation criteria. J. Biomed. Informatics 119: 103823 (2021) - [j28]Feifei Guo, Chunhong Jiang, Yujie Xi, Dan Wang, Yi Zhang, Ning Xie, Yi Guan, Fangbo Zhang, Hongjun Yang:
Investigation of pharmacological mechanism of natural product using pathway fingerprints similarity based on "drug-target-pathway" heterogenous network. J. Cheminformatics 13(1): 68 (2021) - [c44]Weile Chen, Huiqiang Jiang, Qianhui Wu, Börje Karlsson, Yi Guan:
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER. ACL/IJCNLP (1) 2021: 743-753 - [c43]Yi Lin, Yi Guan, Zhaoyang Ma, Haiyan You, Xue Cheng, Jingchi Jiang:
An Acne Grading Framework on Face Images via Skin Attention and SFNet. BIBM 2021: 2407-2414 - [i12]Weile Chen, Huiqiang Jiang, Qianhui Wu, Börje F. Karlsson, Yi Guan:
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER. CoRR abs/2106.02300 (2021) - 2020
- [j27]Yi Guan, Minghe Chi, Jinfeng Zhang, Qian Wang, Xinlao Wei, Qingguo Chen:
Effect of Moistures on Space Charge and Trap Level Characteristics of Oil-Impregnated Pressboards. IEEE Access 8: 171162-171169 (2020) - [j26]Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu:
Medical knowledge embedding based on recursive neural network for multi-disease diagnosis. Artif. Intell. Medicine 103: 101772 (2020) - [j25]Jing Xie, Jingchi Jiang, Yehan Wang, Yi Guan, Xitong Guo:
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis. Artif. Intell. Medicine 107: 101927 (2020) - [j24]Yuanqing Wu, Yanzhou Li, Shenghuang He, Yi Guan:
Sampled-Data Synchronization of Network Systems in Industrial Manufacture. IEEE Trans. Syst. Man Cybern. Syst. 50(9): 3210-3219 (2020) - [c42]Chen Tang, Weile Chen, Tao Wang, Chun Sun, Jingchi Jiang, Yi Guan:
NormCG: A Novel Deep Learning Model for Medical Entity Linking. FICTA (2) 2020: 565-573 - [c41]Chen Tang, Weile Chen, Chun Sun, Tao Wang, Pengfei Li, Jingchi Jiang, Yi Guan:
A Hybrid Model for Clinical Concept Normalization. FICTA (2) 2020: 575-584 - [c40]Zhichao Xu, Yi Guan:
Optimization of Berth Shore Bridge Allocation Based on Simulated Annealing Algorithm. SPIoT (1) 2020: 599-606 - [c39]Lei Tan, Yi Guan:
Talent Evaluation Model of College Students Based on Big Data Technology. SPIoT (2) 2020: 745-749 - [c38]Yi Guan, Lei Tan:
Path Planning Algorithm of Mobile Robot Based on IAFSA. SPIoT (1) 2020: 817-822 - [i11]Jia Su, Yi Guan, Yuge Li, Weile Chen, He Lv, Yageng Yan:
Do recommender systems function in the health domain: a system review. CoRR abs/2007.13058 (2020)
2010 – 2019
- 2019
- [j23]Bin He, Yi Guan, Rui Dai:
Classifying medical relations in clinical text via convolutional neural networks. Artif. Intell. Medicine 93: 43-49 (2019) - [j22]Jia Su, Jinpeng Hu, Jingchi Jiang, Jing Xie, Yang Yang, Bin He, Jinfeng Yang, Yi Guan:
Extraction of risk factors for cardiovascular diseases from Chinese electronic medical records. Comput. Methods Programs Biomed. 172: 1-10 (2019) - [j21]Yi Guan, Yuanqing Wu, Hao Wu, Yanzhou Li, Shenghuang He:
Synchronization of Complex Dynamical Networks with Actuator Saturation by Using Sampled-Data Control. Circuits Syst. Signal Process. 38(12): 5508-5527 (2019) - 2018
- [j20]Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo, Bin He:
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. Artif. Intell. Medicine 87: 49-59 (2018) - [j19]Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, Qiubin Yu:
A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC Bioinform. 19-S(17): 75-84 (2018) - [j18]Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, Qiubin Yu:
Max-margin weight learning for medical knowledge network. Comput. Methods Programs Biomed. 156: 179-190 (2018) - [c37]Bin He, Yi Guan, Rui Dai:
Convolutional Gated Recurrent Units for Medical Relation Classification. BIBM 2018: 646-650 - [i10]Bin He, Yi Guan, Rui Dai:
Classifying medical relations in clinical text via convolutional neural networks. CoRR abs/1805.06665 (2018) - [i9]Bin He, Yi Guan, Rui Dai:
Convolutional Gated Recurrent Units for Medical Relation Classification. CoRR abs/1807.11082 (2018) - [i8]Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu:
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis. CoRR abs/1809.08422 (2018) - 2017
- [j17]Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan:
A study of EMR-based medical knowledge network and its applications. Comput. Methods Programs Biomed. 143: 13-23 (2017) - [j16]Bin He, Bin Dong, Yi Guan, Jinfeng Yang, Zhipeng Jiang, Qiubin Yu, Jianyi Cheng, Chunyan Qu:
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts. J. Biomed. Informatics 69: 203-217 (2017) - [j15]Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, Qiubin Yu:
Learning and inference in knowledge-based probabilistic model for medical diagnosis. Knowl. Based Syst. 138: 58-68 (2017) - [j14]Jia Su, Bin He, Yi Guan, Jingchi Jiang, Jinfeng Yang:
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records. BMC Medical Informatics Decis. Mak. 17(1): 117:1-117:11 (2017) - [c36]Xishuang Dong, Shanta Chowdhury, Lijun Qian, Yi Guan, Jinfeng Yang, Qiubin Yu:
Transfer bi-directional LSTM RNN for named entity recognition in Chinese electronic medical records. Healthcom 2017: 1-4 - [c35]Chao Zhao, Min Zhao, Yi Guan:
Constructing a Hierarchical User Interest Structure Based on User Profiles. ICDM Workshops 2017: 156-162 - [c34]Xiandong Xu, Bingrong Hong, Yi Guan:
Humanoid robot localization based on hybrid map. SPAC 2017: 509-514 - [i7]Jingchi Jiang, Chao Zhao, Yi Guan, Qiubin Yu:
Learning and inference in knowledge-based probabilistic model for medical diagnosis. CoRR abs/1703.09368 (2017) - [i6]Zhipeng Jiang, Chao Zhao, Bin He, Yi Guan, Jingchi Jiang:
De-identification of medical records using conditional random fields and long short-term memory networks. CoRR abs/1709.06901 (2017) - [i5]Chao Zhao, Jingchi Jiang, Yi Guan:
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. CoRR abs/1709.06908 (2017) - [i4]Chao Zhao, Min Zhao, Yi Guan:
Constructing a Hierarchical User Interest Structure based on User Profiles. CoRR abs/1709.06918 (2017) - [i3]Chao Zhao, Min Zhao, Yi Guan:
Classification of entities via their descriptive sentences. CoRR abs/1711.10317 (2017) - 2016
- [j13]Xiandong Xu, Yi Guan, Bingrong Hong, Wende Ke, Qiubo Zhong, Songhao Piao:
Multi-objective optimisation for humanoid robot motion planning. Int. J. Wirel. Mob. Comput. 10(2): 112-121 (2016) - [j12]Quande Yuan, Yi Guan, Bingrong Hong, Songhao Piao, Ze-Su Cai:
A novel method of natural landmark extraction and description for vSLAM. Int. J. Wirel. Mob. Comput. 11(3): 214-221 (2016) - [j11]Zhaoguo Wang, Chenglong Li, Zhenlong Yuan, Yi Guan, Yibo Xue:
DroidChain: A novel Android malware detection method based on behavior chains. Pervasive Mob. Comput. 32: 3-14 (2016) - [c33]Tianyi Qin, Yi Guan:
A Bootstrapping Approach to Symptom Entity Extraction on Chinese Electronic Medical Records. CCL 2016: 413-423 - [c32]Zhaoguo Wang, Chenglong Li, Yi Guan, Yibo Xue, Yingfei Dong:
ActivityHijacker: Hijacking the Android Activity Component for Sensitive Data. ICCCN 2016: 1-9 - [i2]Bin He, Bin Dong, Yi Guan, Jinfeng Yang, Zhipeng Jiang, Qiubin Yu, Jianyi Cheng, Chunyan Qu:
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts. CoRR abs/1611.02091 (2016) - [i1]Jia Su, Bin He, Yi Guan, Jingchi Jiang, Jinfeng Yang:
Developing a cardiovascular disease risk-factors annotated corpus of Chinese electronic medical records. CoRR abs/1611.09020 (2016) - 2015
- [j10]Xiandong Xu, Yi Guan, Bingrong Hong, Wende Ke, Songhao Piao:
A humanoid robot path planning method based on virtual force-directed particle swarm optimisation. Int. J. Wirel. Mob. Comput. 9(4): 325-331 (2015) - [j9]Bin He, Yi Guan, Jianyi Cheng, Keting Cen, Wenlan Hua:
CRFs based de-identification of medical records. J. Biomed. Informatics 58: S39-S46 (2015) - [c31]Jingchi Jiang, Yi Guan, Chao Zhao:
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. CLEF (Working Notes) 2015 - [c30]Jingchi Jiang, Yi Guan, Chao Zhao:
WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. CLEF (Working Notes) 2015 - [c29]Zhaoguo Wang, Chenglong Li, Yi Guan, Yibo Xue:
DroidChain: A novel malware detection method for Android based on behavior chain. CNS 2015: 727-728 - [c28]Jingchi Jiang, Yi Guan, Jia Su, Chao Zhao, Jinfeng Yang:
HIT-WI at TREC 2015 Clinical Decision Support Track. TREC 2015 - 2014
- [j8]Xinbo Lv, Yi Guan, Benyang Deng:
Transfer learning based clinical concept extraction on data from multiple sources. J. Biomed. Informatics 52: 55-64 (2014) - [c27]Jinfeng Yang, Yi Guan, Xishuang Dong, Bin He:
Representing Words as Lymphocytes. AAAI 2014: 3146-3147 - [c26]Zhipeng Jiang, Fangfang Zhao, Yi Guan:
Developing a linguistically annotated corpus of Chinese electronic medical record. BIBM 2014: 307-310 - [c25]Jinfeng Yang, Yi Guan, Xishuang Dong:
Lymphocyte-style word representations. ICIA 2014: 920-925 - [c24]Jinfeng Yang, Xishuang Dong, Yi Guan:
Words Are Analogous To Lymphocytes: A Multi-Word-Agent Autonomous Learning Model. ICSEng 2014: 755-760 - 2013
- [j7]Quande Yuan, Yi Guan, Bingrong Hong, Xiangping Meng:
Multi-robot task allocation using CNP combines with neural network. Neural Comput. Appl. 23(7-8): 1909-1914 (2013) - [c23]Zhiguang Liu, Xishuang Dong, Yi Guan, Jinfeng Yang:
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs. IJCNLP 2013: 455-462 - 2012
- [c22]Xishuang Dong, Qibo Zou, Yi Guan:
Set-Similarity Joins Based Semi-supervised Sentiment Analysis. ICONIP (1) 2012: 176-183 - 2011
- [c21]Shiqi Zhao, Haifeng Wang, Chao Li, Ting Liu, Yi Guan:
Automatically Generating Questions from Queries for Community-based Question Answering. IJCNLP 2011: 929-937 - [c20]Yun Li, Xishuang Dong, Yi Guan:
HIT_LTRC at TREC 2011 Microblog Track. TREC 2011 - 2010
- [c19]Zhipeng Jiang, Yu Zhao, Yi Guan, Chao Li, Sheng Li:
Complete Syntactic Analysis Bases on Multi-level Chunking. CIPS-SIGHAN 2010 - [c18]Xingjun Xu, Guanglu Sun, Yi Guan, Xishuang Dong, Sheng Li:
Selecting Optimal Feature Template Subset for CRFs. CIPS-SIGHAN 2010 - [c17]Masanori Bando, N. Sertac Artan, Nishit Mehta, Yi Guan, H. Jonathan Chao:
Hardware implementation for scalable lookahead Regular Expression detection. IPDPS Workshops 2010: 1-8 - [c16]Jinfeng Yang, Xishuang Dong, Yi Guan, Chengzhen Huang, Sheng Wang:
HIT_LTRC at TREC 2010 Blog Track: Faceted Blog Distillation. TREC 2010
2000 – 2009
- 2009
- [c15]Xishuang Dong, Xiaodong Chen, Yi Guan, Zhiming Yu, Sheng Li:
An Overview of Learning to Rank for Information Retrieval. CSIE (3) 2009: 600-606 - 2008
- [j6]Yi Guan, Xiaolong Wang, Qiang Wang:
A New Measurement of Systematic Similarity. IEEE Trans. Syst. Man Cybern. Part A 38(4): 743-758 (2008) - 2007
- [j5]Qiwen Dong, Xiaolong Wang, Lei Lin, Yi Guan:
Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins. BMC Bioinform. 8 (2007) - [j4]Chengjie Sun, Yi Guan, Xiaolong Wang, Lei Lin:
Rich features based Conditional Random Fields for biological named entities recognition. Comput. Biol. Medicine 37(9): 1327-1333 (2007) - [j3]Tiejun Zhao, Yi Guan, Ting Liu, Qiang Wang:
Recent advances on NLP research in Harbin Institute of Technology. Frontiers Comput. Sci. China 1(4): 413-428 (2007) - [c14]Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming Zhou, Yi Guan:
A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation. ACL 2007 - [c13]Chengjie Sun, Lei Lin, Xiaolong Wang, Yi Guan:
Using Maximum Entropy Model to Extract Protein-Protein Interaction Information from Biomedical Literature. ICIC (1) 2007: 730-737 - [c12]Wei Jiang, Xiaolong Wang, Yi Guan, Xiu-Li Pang:
An Enhanced Text Analysis Approach in Text-to-Speech Synthesis for Mandarin Chinese. ICNC (5) 2007: 410-414 - 2006
- [j2]Wei Jiang, Yi Guan, Xiaolong Wang:
A Pragmatic Chinese Word Segmentation Approach Based on Mixing Models. Int. J. Comput. Linguistics Chin. Lang. Process. 11(4) (2006) - [j1]Qiang Wang, Yi Guan, Xiaolong Wang:
Exploring efficient feature inference and compensation in text classification. J. Chin. Lang. Comput. 16(3): 145-156 (2006) - [c11]Wei Jiang, Yi Guan, Xiaolong Wang:
A Pragmatic Chinese Word Segmentation System. SIGHAN@COLING/ACL 2006: 189-192 - [c10]Chengjie Sun, Yi Guan, Xiaolong Wang, Lei Lin:
Biomedical Named Entities Recognition Using Conditional Random Fields Model. FSKD 2006: 1279-1288 - [c9]Yi Guan, Jian Zhao:
An Improved Feature Representation Method for Maximum Entropy Model. ICDM Workshops 2006: 400-406 - [c8]Wei Jiang, Yi Guan, Xiaolong Wang:
Conditional Random Fields Based Label Sequence and Information Feedback. ICIC (2) 2006: 677-689 - [c7]Wei Jiang, Yi Guan, Xiaolong Wang:
An Improved Unknown Word Recognition Model based on Multi-Knowledge Source Method. ISDA (2) 2006: 825-832 - [c6]Qiang Wang, Yi Guan, Xiaolong Wang:
SVM-Based Spam Filter with Active and Online Learning. TREC 2006 - [c5]Yuming Zhao, Zhiming Xu, Peng Li, Yi Guan:
InsunQA06 on QA Track of TREC 2006. TREC 2006 - 2005
- [c4]Wei Jiang, Jian Zhao, Yi Guan, Zhiming Xu:
Chinese Word Segmentation based on Mixing Model. SIGHAN@IJCNLP 2005 2005 - [c3]Yanmin Chen, Xiaolong Wang, Yi Guan:
Automatic Text Summarization Based on Lexical Chains. ICNC (1) 2005: 947-951 - [c2]Yuming Zhao, Zhiming Xu, Yi Guan, Peng Li:
Insun05QA on QA Track of TREC 2005. TREC 2005 - 2004
- [c1]Qiang Wang, Xiaolong Wang, Yi Guan:
A Study of Semi-discrete Matrix Decomposition for LSI in Automated Text Categorization. IJCNLP 2004: 606-615
Coauthor Index
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