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Article

Salawu, Semiu, He, Yulan and Lumsden, Joanna (2020). Approaches to automated detection of cyberbullying:A Survey. IEEE Transactions on Affective Computing, 11 (1), pp. 3-24.

Bai, Ting, Zhao, Xin, He, Yulan, Nie, Jian-yun and Wen, Ji-rong (2018). Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Transactions on Knowledge and Data Engineering, 30 (12), pp. 2271-2284.

Zhao, Wayne Xin, Zhang, Wenhui, He, Yulan, Xie, Xing and Wen, Ji-Rong (2018). Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Transactions on Information Systems, 36 (3),

Zhou, Jiyun, Lu, Qin, Xu, Ruifeng, He, Yulan and Wang, Hongpeng (2017). EL_PSSM-RT:DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation. BMC Bioinformatics, 18 ,

Zhou, Deyu, Chen, Liangyu, Zhang, Xuan and He, Yulan (2017). Unsupervised event exploration from social text streams. Intelligent Data Analysis, 21 (4), pp. 849-866.

Gui, Lin, Zhou, Yu, Xu, Ruifeng, He, Yulan and Lu, Qin (2017). Learning representations from heterogeneous network for sentiment classification of product reviews. Knowledge based systems, 124 , pp. 34-45.

Chen, Tao, Xu, Ruifeng, He, Yulan and Wang, Xuan (2017). Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert Systems with Applications, 72 , pp. 221-230.

Wei, Qikang, Chen, Tao, Xu, Ruifeng, He, Yulan and Gui, Lin (2016). Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks. Database, 2016 ,

Zhao, Wayne Xin, Li, Sui, He, Yulan, Wang, Liwei, Wen, Ji-Rong and Li, Xiaoming (2016). Exploring demographic information in social media for product recommendation. Knowledge and Information Systems, 49 (1), pp. 61-89.

Zhao, Wayne Xin, Liu, Jing, He, Yulan, Lin, Chin Yew and Wen, Ji-Rong (2016). A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs. World Wide Web, 19 (5), pp. 865-886.

Chen, Tao, Xu, Ruifeng, He, Yulan, Xia, Yunqing and Wang, Xuan (2016). Learning user and product distributed representations using a sequence model for sentiment analysis. IEEE Computational Intelligence Magazine, 11 (3), pp. 34-44.

Zhou, Jiyun, Xu, Ruifeng, He, Yulan, Lu, Qin, Wang, Hongpeng and Kong, Bing (2016). PDNAsite:identification of DNA-binding site from protein sequence by incorporating spatial and sequence context. Scientific Reports, 6 ,

Zhao, Wayne Xin, Li, Sui, He, Yulan, Chang, Edward Y., Wen, Ji-Rong and Li, Xiaoming (2016). Connecting social media to e-commerce:cold-start product recommendation using microblogging information. IEEE Transactions on Knowledge and Data Engineering, 28 (5), pp. 1147-1159.

Uren, Victoria, Wright, Daniel, Scott, James, He, Yulan and Saif, Hassan (2016). Social media and sentiment in bioenergy consultation. International Journal of Energy Sector Management, 10 (1), pp. 87-98.

Zhao, Wayne Xin, Wang, Jinpeng, He, Yulan, Wen, Ji-Rong, Chang, Edward Y. and Li, Xiaoming (2016). Mining product adopter information from online reviews for improving product recommendation. ACM Transactions on Knowledge Discovery from Data, 10 (3),

Saif, Hassan, He, Yulan, Fernández, Miriam and Alani, Harith (2016). Contextual semantics for sentiment analysis of Twitter. Information Processing and Management, 52 (1), pp. 5-19.

Chen, Tao, Xu, Ruifeng, He, Yulan and Wang, Xuan (2015). A gloss composition and context clustering based distributed word sense representation model. Entropy, 17 (9), pp. 6007-6024.

Zhao, Wayne Xin, Wang, Jinpeng, He, Yulan, Nie, Jian-Yun, Wen, Ji-Rong and Li, Xiaoming (2015). Incorporating social role theory into topic models for social media content analysis. IEEE Transactions on Knowledge and Data Engineering, 27 (4), pp. 1032-1044.

Xu, Ruifeng, Zhou, Jiyun, Wang, Hongpeng, He, Yulan, Wang, Xiaolong and Liu, Bin (2015). Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation. BMC Systems Biology, 9 (1),

Zhou, Deyu, Zhong, Dayou and He, Yulan (2014). Biomedical relation extraction:from binary to complex. Computational and Mathematical Methods in Medicine, 2014 ,

Zhou, Deyu and He, Yulan (2014). Semi-supervised learning of statistical models for natural language understanding. Scientific world journal, 2014 ,

Zhou, Deyu, Zhong, Dayou and He, Yulan (2014). Event trigger identification for biomedical events extraction using domain knowledge. Bioinformatics, 30 (11), pp. 1587-1594.

Xu, Ruifeng, Zhou, Jiyun, Liu, Bin, Yao, Lin, He, Yulan, Zou, Quan and Wang, Xiaolong (2014). EnDNA-Prot:identification of DNA-binding proteins by applying ensemble learning. BioMed Research International, 2014 ,

Wang, J., Zhao, W.X., He, Y. and Li, X. (2014). Infer user interests via link structure regularization. ACM Transactions on Intelligent Systems and Technology, 5 (2),

He, Yulan, Lin, Chenghua, Gao, Wei and Wong, Kam-Fai (2013). Dynamic joint sentiment-topic model. ACM Transactions on Intelligent Systems and Technology, 5 (1),

Lin, Chenghua, He, Yulan, Everson, Richard and Rüger, Stefan (2012). Weakly supervised joint sentiment-topic detection from text. IEEE Transactions on Knowledge and Data Engineering, 24 (6), pp. 1134-1145.

Zhou, Deyu and He, Yulan (2011). Biomedical events extraction using the hidden vector state model. Artificial Intelligence in Medicine, 53 (3), pp. 205-213.

He, Yulan and Zhou, Deyu (2011). Self-training from labeled features for sentiment analysis. Information Processing and Management, 47 (4), pp. 606-616.

Vuong, Ba-Quy, He, Yulan and Hui, Siu C. (2010). Towards a web-based progressive handwriting recognition environment for mathematical problem solving. Expert Systems with Applications, 37 (1), pp. 886-893.

He, Yulan, Hui, Siu C. and Quan, Tho T. (2009). Automatic summary assessment for intelligent tutoring systems. Computers and Education, 53 (3), pp. 890-899.

He, Yulan and Hui, Siu C. (2009). Exploring ant-based algorithms for gene expression data analysis. Artificial Intelligence in Medicine, 47 (2), pp. 105-119.

Zhou, Deyu and He, Yulan (2009). Discriminative training of the hidden vector state model for semantic parsing. IEEE Transactions on Knowledge and Data Engineering, 21 (1), pp. 66-77.

Vuong, Ba-Quy, Hui, Siu C. and He, Yulan (2008). Progressive structural analysis for dynamic recognition of on-line handwritten mathematical expressions. Pattern Recognition Letters, 29 (5), pp. 647-655.

Zhou, Deyu and He, Yulan (2008). Extracting interactions between proteins from the literature. Journal of Biomedical Informatics, 41 (2), pp. 393-407.

Zhou, Deyu, He, Yulan and Kwoh, Chee K. (2008). Extracting protein-protein interactions from MEDLINE using the hidden vector state model. International Journal of Bioinformatics Research and Applications, 4 (1), pp. 64-80.

Book Section

Batra, Vishwash, He, Yulan and Vogiatzis, George (2019). A Deep Learning Approach to Automatic Caption Generation for News Images. IN: The 11th International Conference on Language Resources and Evaluation (LREC). JPN: European Language Resources Association (ELRA).

Pergola, Gabriele, He, Yulan and Lowe, David (2018). Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. IN: The 2nd AAAI Workshop on Health Intelligence. USA: UNSPECIFIED.

Zhou, Deyu, Guo, Linshen and He, Yulan (2018). Neural Storyline Extraction Model for Storyline Generation from News Articles. IN: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). USA: Association for Computational Linguistics.

Zhou, Deyu, Yang, Yang and He, Yulan (2018). Relevant Emotion Ranking from Text Constraint with Emotion Relationships. IN: The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL). USA: Association for Computational Linguistics.

Orizu, Udochukwu and He, Yulan (2018). Content-Based Conflict-of-Interest Detection on Wikipedia. IN: The 11th International Conference on Language Resources and Evaluation (LREC). European Language Resources Association (ELRA).

Gui, Lin, Hu, Jiannan, He, Yulan, Xu, Ruifeng, Lu, Qin and Du, Jiachen (2017). A question answering approach for emotion cause extraction. IN: Proceedings of the 14th International Conference on Empirical Methods on Natural Language Processing. Association for Computational Linguistics.

Vilares Calvo, David and He, Yulan (2017). Detecting perspectives in political debates. IN: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.

Du, Jiachen, Xu, Ruifeng, He, Yulan and Gui, Lin (2017). Stance classification with target-specific neural attention networks. IN: 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. AUS: International Joint Conferences on Artificial Intelligence.

Huynh, Trung, He, Yulan, Willis, Allistair and Rueger, Stefan (2016). Adverse drug reaction classification with deep neural networks. IN: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. JPN: UNSPECIFIED.

Emambakhsh, Mehryar, He, Yulan and Nabney, Ian (2016). Handwritten and machine-printed text discrimination using a template matching approach. IN: Proceedings : 12th IAPR International Workshop on Document Analysis Systems, DAS 2016. GRC: IEEE.

Orizu, Udochukwu and He, Yulan (2016). Detecting expressions of blame or praise in text. IN: The 10th edition of the Language Resources and Evaluation Conference (LREC). Calzolari, Nicoletta; Choukri, Khalid; Declerck, Thierry and et al (eds) SVN: UNSPECIFIED.

Chen, Tao, Xu, Ruifeng, He, Yulan and Wang, Xuan (2015). Learning task specific distributed paragraph representations using a 2-tier convolutional neural network. IN: Neural information processing. Lecture notes in computer science . TUR: Springer.

Burel, Grégoire, Mulholland, Paul, He, Yulan and Alani, Harith (2015). Predicting answering behaviour in online question answering communities. IN: HT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media. CYP: ACM.

Orizu, Udochukwu and He, Yulan (2015). A rule-based approach to implicit emotion detection in text. IN: Natural language processing and information systems. Biemann, Chris; Handschuh, Siegfried; Freitas, André and et al (eds) Lecture notes in computer science . DEU: Springer.

Huynh, Trung, He, Yulan and Rüger, Stefan (2015). Learning higher-level features with convolutional restricted Boltzmann machines for sentiment analysis. IN: Advances in information retrieval. Hanbury, Allan; Kazai, Gabriella; Rauber, Andreas and Fuhr, Norbert (eds) Lecture notes in computer science . AUT: Springer.

Cano, A. Elizabeth, He, Yulan and Alani, Harith (2014). The topics they are a-changing - characterising topics with time-stamped semantic graphs. IN: ISWC-P&D 2014 : ISWC 2014 posters & demonstrations track. Horridge, Matthew; Rospocher, Marco and van Ossenbruggen, Jacco (eds) CEUR workshop proceedings . ITA: CEUR-WS.org.

Zhao, Xin Wayne, Guo, Yanwei, He, Yulan, Jiang, Han, Wu, Yuexin and Li, Xiaoming (2014). We know what you want to buy:a demographic-based system for product recommendation on microblogs. IN: KDD '14 : proceedings of the 20th ACM SIGKDD international conference on Knowledge Discovery and Data mining. USA: ACM.

Saif, Hassan, He, Yulan, Fernández, Miriam and Alani, Harith (2014). Adapting sentiment lexicons using contextual semantics for sentiment analysis of Twitter. IN: SSA-SMILE 2014 : joint proceedings of SSA 2014 and SMILE 2014. Gangemi, Aldo; Alani, Harith; Nissim, Malvina; Cambria, Erik and Reforgiato Recupero, Diego (eds) CEUR workshop proceedings . GRC: CEUR-WS.org.

Saif, Hassan, Fernández, Miriam, He, Yulan and Alani, Harith (2014). On stopwords, filtering and data sparsity for sentiment analysis of Twitter. IN: LREC 2014, Ninth International Conference on Language Resources and Evaluation. Proceedings. Calzolari, Nicoletta; Choukri, Khalid; Declerck, Thierry and et al (eds) ISL: UNSPECIFIED.

He, Yulan, Nakata, Keiichi and Zhou, Deyu (2008). Ontology-based protein-protein interactions extraction from literature using the hidden vector state model. IN: 2008 IEEE international conference on data mining workshops. ITA: IEEE.

Zhou, Deyu and He, Yulan (2008). A hybrid generative/discriminative framework to train a semantic parser from an un-annotated corpus. IN: COLING '08. Scott, Donia and Uszkoreit, Hans (eds) Stroudsburg, PA (US): Association for Computational Linguistics.

Conference or Workshop Item

Du, Jiachen, Gui, Lin, He, Yulan and Xu, Ruifeng (2018). A convolutional attentional neural network for sentiment classification. IN: 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). Shenzhen, China, 2017-12-15 - 2017-12-17.