Hongfei Lin

    Ph.D.

    Professor

    Information Retrieval Laboratory(DUTIR)

    School of Computer Science and Technology

    Dalian University of Technology

    Dalian,China.

    Email: hflin@

    Telephone: 0086-411-84708918

We focus on Knowledge Discovery on the Internet and then try to find potential, valuable and novel knowledge patterns. At the same time, we pay more attention to people's psychological state reflected in social media. We use natural language processing technology to analyze people's emotion, sense of happiness, sense of humor, depression, suicide, and stress status. Our goal is to use natural language processing technology to serve the society, understand people's demands from the physical and psychological aspects, and better create a relaxed atmosphere with technology to benefit mankind.

I found Information Retrieval Laboratory (DUTIR) in 2001, and I also began to recruit graduate students in the direction of information retrieval. My research areas include natural language processing, information retrieval, information recommendation, sentimental analysis, social computing, social media processing for mental health, biomedical text mining and electronic Health Recorders Analysis. I am willing to accept the master and Ph.D. candidate qualified for "good at mathematics, skilled in programming, and with good attitude".

I have published more than 150 SCI-indexed papers, as well as more than 50 international conference papers (IJCAI, WWW, ACL, EMNLP, CIKM, COLING, BIBM etc. ). I have presided over more than 10 National Natural Science Foundation projects and National High Tech Projects. I have served as the Chair of the Programming Committee of many national conferences or as a Programming Committee Member of several international conferences. I have a good cooperative relationship with the medical community, judicial organizations, e-commerce companies, etc.

Research Fields:

Natural Language Processing  

Sentimental Analysis Social Computing  

Social Media Processing for mental health

Biomedical Text Mining  

Information Retrieval

Information Recommendation

Humor/Sarcasm Recognition

Knowledge Graph Construction and Application

Stance Detection

Argumentation Analysis

Question & Answering system  

Human-Machine Dialogue

Education:

1996.9-2000.7, Northeastern University, Computer Science, Ph.D.

1989.9-1992.7, Dalian University of technology, Computer Science, Master

1979.9-1983.7, Northeast Normal University, Mathematics ,Bachelor

Work Experiences:

2000.7 – Current, Dalian University of technology, Computer Science,Professor

1992.7 – 1996.9, Dalian University of technology, Computer Science, Lecture

1983.7 - 1989.9, Inner Mongolia University for Nationalities, Mathematics, Lecture

Research Projects:

[1] PI, Chinese Humor Computing based on Social Media, No.62076046,2021-2024,NSFC

[2] PI, Knowledge Discovery for Adverse Drug Reactions from Social Networks, No.61572102, 2016-2019, NSFC

[3] PI, Text Sentimental Computing based on Cognitive Context, No.60973068,2010-2012, NSFC

[4] PI, Biomedical Text Mining Technology, No.60673039,2007-2009, NSFC

[5] PI, Knowledge Scheme Extraction and Evaluation from Web Text,No.60373095,2004-2006，NSFC

[6] Co-PI, The Theory and Method of Text Sentiment Computing in Social Media, No.61632011,2017.1-2021.12, NSFC Key Project

[7] PI, Research and Implementation of Cross Language Vertical Search Engine Based on Semantics, No.2006AA01Z151,2007-2009, National High Technology Development Plan.

Publications:

[1] Bo Xu, Hongfei Lin, Yuan Lin, Yizhou Guan: Integrating social annotations into topic models for personalized document retrieval. Soft Computing,2020,24(3):1707-1716

[2] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Zhihao Yang, Jian Wang, Kan Xu: FBSN: A hybrid fine-grained neural network for biomedical event trigger identification. Neurocomputing,2020, 381: 105-112

[3] Ling Luo, Zhihao Yang, Mingyu Cao, Lei Wang, Yin Zhang, Hongfei Lin, A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature. Journal of Biomedical Informatics,2020,103: 103384

[4] Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Attention guided capsule networks for chemical-protein interaction extraction. Journal of Biomedical Informatics,2020,103: 103392

[5] Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Bo Xu, Deqin Yan:Discriminative globality-locality preserving extreme learning machine for image classification. Neurocomputing,2020,387: 13-21

[6] 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 Bioinformationcs.2020,21(1):125

[7] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Dongyu Zhang, Kan Xu,CRHASum: extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Computing and Applications,2020,32(15): 11491-11503

[8] Xiaochao Fan, Hongfei Lin, Liang Yang, Yufeng Diao, Chen Shen, Yonghe Chu, Yanbo Zou: Humor detection via an internal and external neural network. Neurocomputing,2020,394:105-111

[9] Lu Ren, Bo Xu, Hongfei Lin, Xikai Liu, Liang Yang: Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network. Neurocomputing,2020,401:320-326

[10] Zhiheng Li, Zhihao Yang, Ling Luo, Yang Xiang, Hongfei Lin: Exploiting adversarial transfer learning for adverse drug reaction detection from texts. Journal of Biomedical Informatics,2020, 106:103431

[11] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Kan Xu: CRGA: Homographic pun detection with a contextualized-representation: Gated attention network. Knowledge-Based Systems,2020,195:105056

[12] Nan Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang: KGHC: a knowledge graph for hepatocellular carcinoma. BMC Medical Informatics and Decision Making,2020, 20(1):135

[13] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Kan Xu, Bo Xu: Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. Neural Computing and Applications,2020,32(12):8401-8413

[14] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Kan Xu: Homographic pun location using multi-dimensional semantic relationships. Soft Computing,2020,24(16):12163-12173

[15] Dongyu Zhang,Hongfei Lin,David I Perrett,Apparent Emotional Expression Explains the Effects of Head Posture on Perceived Trustworthiness and Dominance, but a Measure of Facial Width Does Not,Perception,2020,49(4):422-438

[16] Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang,Chemical-protein interaction extraction via Gaussian probability distribution and external biomedical knowledge. Bioinformatics. 2020,36(15): 4323-4330

[17] Di Zhao, Jian Wang, Yi-Jia Zhang, Xin Wang, Hongfei Lin, Zhihao Yang,Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction. BMC Bioinform. 2020,21(1): 312

[18] Jian Wang, Mengying Li, Qishuai Diao, Hongfei Lin, Zhihao Yang, YiJia Zhang,Biomedical document triage using a hierarchical attention-based capsule network. BMC Bioinform. 2020,21-S(13): 380

[19] Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Yufeng Diao, Xiaochao Fan, Chen Shen,Hyperspectral image classification based on discriminative locality preserving broad learning system. Knowledge Based System,2020,206: 106319

[20] Yonghe Chu, Hongfei Lin, Liang Yang, Dongyu Zhang, Shaowu Zhang, Yufeng Diao, Deqin Yan,Fuzzy ELM for classification based on feature space. Multimedia Tools and Applications,2020,79(37-38): 27439-27464

[21] Erniu Wang, Fan Wang, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, and Jian Wang, Extracting biomedical relations via a multi-head attention based graph convolutional network,BIBM2020

[22] Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, and Yuanyuan Sun,Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network,BIBM2020

[23] Tongxuan Zhang, Hongfei Lin, Bo Xu, Yuqi Ren, Zhihao Yang, Jian Wang, and Xiaodong Duan, Gated iterative capsule network for adverse drug reaction detection from social media, BIBM2020

[24] Chen Shen, Hongfei Lin, Zhiheng Li, Yonghe Chu, Zhengguang Li, and Zhihao Yang, A Graph-boosted Framework for Adverse Drug Event Detection on Twitter,BIBM2020

[25] Yu Wang, Shaowu Zhang, Yijia Zhang, Jian Wang, and Hongfei Lin，Extracting Protein-Protein Interactions Affected by Mutations via Auxiliary Task and Domain Pre-trained Model，BIBM2020

[26] Zhengguang Li, Hongfei Lin, Chen Shen, Wei Zheng, Zhihao Yang, and Jian Wang, Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity, BIBM2020

[27]Shuqun Li, Jingjie Zeng, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin: ALBERT-BiLSTM for Sequential Metaphor Detection. Fig-Lang@ACL 2020: 110-115

[28] Liang Yang, Jingjie Zeng, Tao Peng, Xi Luo, Jinghui Zhang, Hongfei Lin,Leniency to those who confess?: Predicting the Legal Judgement via Multi-Modal Analysis. ICMI 2020: 645-649

[29] Fengqing Zhou, Jinhui Zhang, Tao Peng, Liang Yang, Hongfei Lin,Weighted Pre-trained Language Models for Multi-Aspect-Based Multi-Sentiment Analysis. NLPCC 2020,2020: 501-511

[30] Yufeng Diao, Liang Yang, Xiaochao Fan, Yonghe Chu, Di Wu, Shaowu Zhang, Hongfei Lin,AFPun-GAN: Ambiguity-Fluency Generative Adversarial Network for Pun Generation. NLPCC2020,2020: 604-616

[31] Meiling Xu，Min Han，Tie Qiu，Hongfei Lin，Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction，IEEE Transactions on Cybernetics，2019,49(6): 2305 - 2315

[32] Yuan Lin, Jiajin Wu, Bo Xu, Kan Xu, Hongfei Lin,Learning to rank using multiple loss functions. Int. J. Machine Learning & Cybernetics,2019,10(3): 485-494

[33] Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen, Chunmei Yang,Relation path feature embedding based convolutional neural network method for drug discovery. BMC Med. Inf. & Decision Making,2019.19(S2):121-130

[34] Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuanyuan Sun: Chemical-protein interaction extraction via contextualized word representations and multihead attention. DATABASE-The Journal of Biological Database and Curation,2019: baz054

[35] Bo Xu，Hongfei Lin,Yuan Lin,Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources, IEEE/ACM Transactions on Computational Biology and Bioinformatics,2019,16(3):954-966

[36] Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan: Globality-Locality Preserving Maximum Variance Extreme Learning Machine. Complexity 2019: 1806314:1-1806314

[37] Bo Xu, Hongfei Lin, Yuan Lin, Kan Xu: Incorporating query constraints for autoencoder enhanced ranking. Neurocomputing,2019,356:142-150

[38] Meiling Xu, Yuanzhe Yang, Min Han, Tie Qiu, Hongfei Lin: Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. IEEE Trans. Neural Netw. Learning Syst.2019,30(6):1621-1634

[39] Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang: Chemical-protein interaction extraction from biomedical literature: a hierarchical recurrent convolutional neural network method. International Journal of Data Mining and Bioinformatics,2019, 22(2): 113-130

[40] Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang: KeSACNN: a protein-protein interaction article classification approach based on deep neural network. International Journal of Data Mining and Bioinformatics ,2019,22(2): 131-148

[44] Bo Xu, Yunlong Ma, Hongfei Lin: A hybrid deep neural network model for query intent classification. Journal of Intelligent and Fuzzy Systems,2019 36(6): 6413-6423

[45] Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Hongfei Lin, Jian Wang, Bo Xu: Detection of protein complexes from multiple protein interaction networks using graph embedding. Artificial Intelligence in Medicine,2019,96:107-115

[46] Yuan Lin, Bo Xu, Hongfei Lin, Kan Xu, Ping Zhang: FGFIREM: A feature generation framework based on information retrieval evaluation measures. Expert System and Applicaiton,2019,133:75-85

[47] Yumeng Li, Liang Yang, Bo Xu, Jian Wang, Hongfei Lin.Improving User Attribute Classification with Text and Social Network Attention. Cognitive Computation,2019, 11(4): 459-468

[48] Chen Shen, Hongfei Lin, Xiaochao Fan, Yonghe Chu, Zhihao Yang, Jian Wang, Shaowu Zhang, Biomedical event trigger detection with convolutional highway neural network and extreme learning machine. Applied Soft Computing.2019, 84

[49] Tongxuan Zhang, Hongfei Lin, Yuqi Ren, Liang Yang, Bo Xu, Zhihao Yang, Jian Wang, Yijia Zhang, Adverse drug reaction detection via a multihop self-attention mechanism. BMC Bioinformatics,2019, 20(1): 479:1-479:11

[50] Chen Shen, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, Shaowu Zhang: Intelligent multi-document summarization for biomedical literature by word embeddings and graph-based ranking. Journal of Intelligent and Fuzzy Systems,2019, 37(4): 4797-4802

[51] Chen Shen, Hongfei Lin, Kai Guo, Kan Xu, Zhihao Yang, Jian Wang: Detecting adverse drug reactions from social media based on multi-channel convolutional neural networks. Neural Computing and Applications,2019,31(9): 4799-4808

[52] Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, and Zhiyong Lu,Improving biomedical word embeddings with subword information and MeSH,Scientific Data,2019,6(1):52

[53] Qingqing Li,Zhihao Yang,Zhehuan Zhao,Ling Luo, Zhiheng Li,Lei Wang,Yin Zhang, Hongfei Lin,Jian Wang,Yijia Zhang,HMNPPID-human malignant neoplasm protein-protein interaction database,Human Genomics,2019,13(S1)：44

[54] Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin & Fuliang Yin，A supervised term ranking model for diversity enhanced biomedical information retrieval. BMC Bioinformatics,2019,20:590

[55]Licheng Cui, Huawei Zhai, Hongfei Lin,A Novel Orthogonal Extreme Learning Machine for Regression and Classification Problems,Symmetry,2019,11(10):1284

[56] Yufeng Diao, Hongfei Lin, Liang Yang, Xiaochao Fan, Di Wu, Dongyu Zhang, Kan Xu: Heterographic Pun Recognition via Pronunciation and Spelling Understanding Gated Attention Network. WWW 2019: 363-371

[57] Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin and Feng Xia,Judging a Book by Its Cover: The Effect of Facial Perception  on Centrality in Social Networks,WWW2019,2019, 2290-2300

[58] Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Shaowu Zhang, Xiaochao Fan.Refining Word Representations by Manifold Learning. IJCAI 2019: 5394-5400

[59] Xiuyuan Yang, Liang Yang, Ran Bi, Hongfei Lin: A Comprehensive Verification of Transformer in Text Classification. CCL 2019: 207-218

[60] Tongxuan Zhang, Yuqi Ren, Michael Mesfin Tadessem, Bo Xu, Xikai Liu, Liang Yang, Zhihao Yang, Jian Wang, Hongfei Lin: Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering. NLPCC 2019: 105-116

[61] Yijia Zhang ,Wei Zheng, Hongfei Lin, Jian Wang, Zhihao Yang, Michel Dumontier. Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths. Bioinformatics,2018,34(5):828-835.

[62] Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Hongfei Lin, Jian Wang. An Attention-based BiLSTM-CRF Approach to Document-level Chemical Named Entity Recognition. Bioinformatics, 2018,34(8):1381-1388

[63] Meiling Xu, Min Han, Hongfei Lin, Wavelet-denoising multiple echo state networks for multivariate time series prediction. Information Science,2018, 465: 439-458

[64] Shengtian Sang, Zhihao Yang, Lei Wang, Xiaoxia Liu, Hongfei Lin, Jian Wang. SemaTyP: a knowledge graph based literature mining method for drug discovery. BMC Bioinformatics,2018,19(1): 193:1-193:11

[65] Wei Zheng, Hongfei Lin, Xiaoxia Liu, Bo Xu: A document level neural model integrated domain knowledge for chemical-induced disease relations. BMC Bioinformatics,2018,19(1): 328:1-328:12

[66] Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu: Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. BMC Bioinformatics 2018,19(1): 332:1-332:14

[67] Xu Bo, Lin Hongfei, Lin Yuan, Ma Yunlong,Yang Liang, Wang Jian, Yang Zhihao. Improve Biomedical Information Retrieval using Modified Learning to Rank Methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018,15(6):1797-1809

[68] Ling Luo, Zhihao Yang, Hongfei Lin, Jian Wang: Document triage for identifying protein-protein interactions affected by mutations: a neural network ensemble approach. Database 2018: bay097 (2018)

[69] Wei Zheng, Hongfei Lin, Zhiheng Li, Xiaoxia Liu, Zhengguang Li, Bo Xu, Yijia Zhang, Zhihao Yang, Jian Wang. An effective neural model extracting document level chemical-induced disease relations from biomedical literature. Journal of Biomedical Informatics,2018,83: 1-9

[70] Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Shaowu Zhang, Yuanyuan Sun, Liang Yang. A hybrid model based on neural networks for biomedical relation extraction. Journal of Biomedical Informatics,2018,81: 83-92

[71] Jian Wang, Hongfei Lin, Hualei Dong, Daping Xiong, Zhihao Yang: Exploring Answer Information for Question Classification in Community Question Answering. Multiple-Valued Logic and Soft Computing,2018,31(1-2): 67-84

[72] Ling Luo, Zhihao Yang, Pei Yang, Yin Zhang, Lei Wang, Jian Wang, Hongfei Lin: A neural network approach to chemical and gene/protein entity recognition in patents. J. Cheminformatics, 2018, 10(1): 65:1-65:10

[73] Yan Wang, Jian Wang,Hongfei Lin,Shaowu Zhang,Lishuang Li,Bidirectional long short-term memory with CRF for detecting biomedical event trigger in FastText semantic space,BMC Bioinformatics,2018,19(Suppl 20):59-66

[74] Dongyu Zhang, Hongfei Lin, Liang Yang, Shaowu Zhang, Bo Xu. Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions. ACL2018, 144-150, Melbourne, Australia

[75] Yufeng Diao, Hongfei Lin, Di Wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu, Dongyu Zhang,WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. EMNLP 2018: 2507-2516，Brussels, Belgium

[76] Bo Xu, Dongyu Zhang, Shaowu Zhang, HengChao Li, Hongfei Lin. Stock Market Trend Prediction Using Recurrent Convolutional Neural Networks. NLPCC2018, LNCS, Vol.11109: 166-177

[77] Yunsheng Shi, Jun Meng, Jian Wang, Hongfei Lin, Yumeng Li. A Normalized Encoder-Decoder Model for Abstractive Summarization Using Focal Loss. NLPCC2018, LNCS, Vol.11109: 383-392

[78] Tianchi Yue, Chen Chen, Shaowu Zhang, Hongfei Lin, Liang Yang. Ensemble of Neural Networks with Sentiment Words Translation for Code-Switching Emotion Detection. NLPCC2018, LNCS, Vol.11109: 411-419(EI)

[79] Xiaoyu Chen, Jian Wang, Yuqi Ren, Tong Liu, Hongfei Lin. NLPCC 2018 Shared Task User Profiling and Recommendation Method Summary by DUTIR_9148. NLPCC 2018, LNCS, Vol.11109: 420-428(EI)

[80] Qingqing Li, Zhihao Yang, Zhehuan Zhao, Ling Luo, Zhiheng Li, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Yijia Zhang:HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms. BIBM 2018: 1-3

[81] Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Lei Wang, Yin Zhang, Hongfei Lin, Bo Xu, Yijia Zhang, Liang Yang, Kan Xu, Jian Wang:PC-SENE: A node embedding based method for protein complex detection. BIBM 2018: 191-192

[82] Bo Xu, Kun Li, Xiaoxia Liu, Delong Liu, Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:Protein Complexes Detection Based on Global Network Representation Learning. BIBM 2018:210-213

[83] Ling Luo, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach. BIBM 2018: 467-469

[84] Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin,Fuliang Yin:

Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion. BIBM 2018: 556-559

[85] Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content.BIBM 2018: 560-565

[86] Qingqing Li, Zhihao Yang, Ling Luo, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:

A multi-task learning based approach to biomedical entity relation extraction. BIBM 2018: 680-682

[87] Shengtian Sang, Zhihao Yang, Xiaoxia Liu, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery. BIBM 2018: 751-752

[88] Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Liang Yang, Kan Xu, Yijia Zhang:Hierarchical Recurrent Convolutional Neural Network for Chemical-protein Relation Extraction from Biomedical Literature.BIBM 2018: 765-766

[89] Zhizheng Wang, Yuanyuan Sun, Yawen Guan, Yibin Zhang, Liang Yang, Kan Xu, Yijia Zhang, Hongfei Lin:A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation.BIBM 2018: 767-770

[90] Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia:Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. BIBM 2018: 951-956

[91] Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang and Yiwei Liu. Construction of dynamic probabilistic protein interaction networks for protein complex identification. BMC Bioinformatics,2017, 17: 186

[92] Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian. An uncertain model-based approach for identifying dynamic protein complexes in uncertain protein-protein interaction networks. BMC genomics, 2017,18:31

[93] Wei Zheng, Hongfei Lin, Ling Luo, Zhehuan Zhao, Zhenggua Li, Yijia Zhang, Zhihao Yang, Jian Wang. An attention-based effective neural model for drug-drug interactions extraction. BMC Bioinformatics, 2017, 18: 445

[94] Xiaoxia Liu, Zhihao Yang, Hongfei Lin, Michael Simmons,Zhiyong Lu.DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks. BMC systems biology, 2017, 11(3): 23

[95] Jian Wang, Jiqing Sun, Hongfei Lin, Hualei Dong, Shaowu Zhang. Convolutional neural networks for expert recommendation in community question answering. Science China Information Sciences, 2017,60(11):110-102

[96] Anran Wang, Jian Wang, Hongfei Lin, Jianhai Zhang, Zhihao Yang, Kan Xu.A multiple distributed representation method based on neural network for biomedical event extraction. BMC Medical Informatics and Decision Making,2017, 17(S3): 59-66

[97] Xu Bo, Lin Hongfei, Lin Yuan ,Xu Kan. Learning to rank with semi-supervised query-level autoencoders. CIKM 2017, 2395-2398, Singapore

[98] Yan Wang,Jian Wang, Biomedical Event Trigger Detection Based on Bidirectional LSTM and CRF,BIBM2017: 445-450

[99] Zhehuan Zhao, Zhihao Yang, Cong Sun, Lei Wang, Hongfei Lin,A hybrid protein-protein interaction triple extraction method for biomedical literature. BIBM 2017, 1515-1521

[100] Kai Guo, Hongfei Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Kan Xu.Detecting Potential Adverse Drug Reactions Using Association Rules and Embedding Models. ISBRA2017, Lecture Notes on Computer Science, 2017, Vol.10330, 373-378

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