2020

Batra, Vishwas, Haldar, Aparajita, He, Yulan, Ferhatosmanoglu, Hakan, Vogiatzis, George and Guha, Tanaya (2020) Variational recurrent sequence-to-sequence retrieval for stepwise illustration. In: Advances in Information Retrieval : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I. Lecture Notes in Computer Science, 12035 . Springer, pp. 50-64. ISBN 9783030454388 (In Press)

Zeng, Jichuan, Li, Jing, He, Yulan, Gao, Cuiyun, Lyu, Michael and King, Irwin (2020) What changed your mind : the roles of dynamic topics and discourse in argumentation process. In: The Web Conference 2020, Taipei, 20-24 Apr 2020

2019

Wang, Rui, Zhou, Deyu and He, Yulan (2019) ATM : Adversarial-neural topic model. Information Processing & Management, 56 (6). 102098. doi:10.1016/j.ipm.2019.102098

Pergola, Gabriele, Gui, Lin and He, Yulan (2019) TDAM: a topic-dependent attention model for sentiment analysis. Information Processing & Management, 56 (6). 102084. doi:10.1016/j.ipm.2019.102084

Yang, Yang, Zhou, Deyu, He, Yulan and Zhang, Meng (2019) Interpretable relevant emotion ranking with event-driven attention. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 3-7 Nov 2019

Wang, Rui, Zhou, Deyu and He, Yulan (2019) Open event extraction from online text using a generative adversarial network. In: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China, 3-7 Nov 2019

Zhu, Lixing, He, Yulan and Zhou, Deyu (2019) Neural opinion dynamics model for the prediction of user-level stance dynamics. Information Processing & Management . doi:10.1016/j.ipm.2019.03.010 (In Press)

Du, Jiachen, Gui, Lin, He, Yulan, Xu, Ruifeng and Wang, Xuan (2019) Convolution-based neural attention with applications to sentiment classification. IEEE Access, 7 . 27983 -27992. doi:10.1109/ACCESS.2019.2900335

Zeng, Jichuan, Li, Jing, He, Yulan, Gao, Cuiyun, Lyu, Michael and King, Irwin (2019) What you say and how you say it : joint modeling of topics and discourse in microblog conversations. Transactions of the Association for Computational Linguistics . (In Press)

Gui, Lin, Leng, Jia, Pergola, Gabriele, Zhou, Yu, Xu, Ruifeng and He, Yulan (2019) Neural topic model with reinforcement learning. In: 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, 3-7 Nov 2019 (In Press)

Zhu, Lixing, He, Yulan and Zhou, Deyu (2019) Hierarchical viewpoint discovery from tweets using Bayesian modelling. Expert Systems with Applications, 116 . pp. 430-438. doi:10.1016/j.eswa.2018.09.028

2018

Tang, Donglei, Zhang, Zhikai, He, Yulan, Lin, Chao and Zhou, Deyu (2018) Hidden topic–emotion transition model for multi-level social emotion detection. Knowledge-Based Systems . doi:10.1016/j.knosys.2018.11.014 (In Press)

Zhou, Deyu, Zhang, Zhikai, Zhang, Min-Ling and He, Yulan (2018) Weakly supervised POS tagging without disambiguation. ACM Transactions on Asian and Low-Resource Language Information Processing, 17 (4). 35. doi:10.1145/3214707

Zhou, Deyu, Miao, Lei and He, Yulan (2018) Position-aware deep multi-task learning for drug–drug interaction extraction. Artificial Intelligence in Medicine, 87 . pp. 1-8. doi:10.1016/j.artmed.2018.03.001

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). pp. 1-34. 27. doi:10.1145/3158670

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 . doi:10.1109/TKDE.2018.2821671 (In Press)

2017

Du, Jiachen, Xu, Ruifeng, He, Yulan and Gui, Lin (2017) Stance classification with target-specific neural attention networks. In: Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, 19-25 Aug 2017. Published in: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI) pp. 3988-3994. ISBN 9780999241103. doi:10.24963/ijcai.2017/557

2016

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. doi:10.1109/TKDE.2015.2508816

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 (TKDD), 10 (3). pp. 1-23. 29. doi:10.1145/2842629

Saif, Hassan, He, Yulan, Fernandez, Miriam and Alani, Harith (2016) Contextual semantics for sentiment analysis of Twitter. Information Processing & Management, 52 (1). pp. 5-19. doi:10.1016/j.ipm.2015.01.005

2015

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. doi:10.1109/TKDE.2014.2359672

Zhou, Deyu, Chen, Liangyu and He, Yulan (2015) An unsupervised framework of exploring events on Twitter : filtering, extraction and categorization. In: Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, 25-29 Jan 2015. Published in: Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI) pp. 2468-2474.

2014

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: 20th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, USA, 24-27 Aug 2014. Published in: KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining pp. 1935-1944. ISBN 9781450329569. doi:10.1145/2623330.2623351