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Personal profile

General

I am a Reader at the School of Engineering and Applied ScienceAston University, UK. Before joining Aston in 2013. I previously held the positions of Senior Lecturer at the Knowledge Media Institute of the Open University, Lecturer at the University of Exeter, and Lecturer at the University of Reading.

I obtained my BASc (First Class Honours) and MEng degrees in Computer Engineering from Nanyang Technological University, Singapore, and my PhD degree in spoken language understanding from Cambridge University.

For more information about me, please visit my personal website.

Research Interests

My main interests are in social media analysis; sentiment analysis and opinion mining; business intelligence and data mining; text mining; machine learning; and bioinformatics.

Some of my interested research topics include:

  • Social media analysis. Integration of machine learning and natural language processing techniques to analyse social media contents and online user behaviours.
  • Sentiment analysis and opinion mining. Application of machine learning techniques to extract and understand sentiments and opinions expressed on the Web.
  • Biomedical literature mining. Knowledge acquisition from biomedical literature. In particular, investigation of statistical models for biomedical events extraction from textural data.
  • Business intelligence and data mining. Investigation of data mining techniques such as classification, clustering, regression, association rule mining, etc., on business problems.

Qualifications

  • Postgraduate Certificate in Academic Practices, University of Reading
  • PhD in Spoken Language Understanding, University of Cambridge
  • MEng in Computer Engineering, Nanyang Technological University, Singapore
  • BASc with First Class Honours in Computer Engineering, Nanyang Technological University, Singapore

Membership of Professional Bodies

  • Member of the Association for Computing Machinery (ACM)
  • Fellow of the Higher Education Academy

Fingerprint Dive into the research topics where Yulan He is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Semantics Engineering & Materials Science
Classifiers Engineering & Materials Science
Sentiment Analysis Mathematics
Websites Engineering & Materials Science
Proteins Engineering & Materials Science
Neural networks Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Bearings (structural) Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

A Deep Learning Approach to Automatic Caption Generation for News Images

Batra, V., He, Y. & Vogiatzis, G., 1 Jan 2019, The 11th International Conference on Language Resources and Evaluation (LREC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Recurrent neural networks
Network architecture
Internet
Deep neural networks
Deep learning

A convolutional attentional neural network for sentiment classification

Du, J., Gui, L., He, Y. & Xu, R., 1 Mar 2018, p. 445-450.

Research output: Contribution to conferenceOther

Open Access
File
Neural networks
Recurrent neural networks
Network architecture

A convolutional attention model for text classification

Du, J., Gui, L., Xu, R. & He, Y., 5 Jan 2018, English. p. 183-195 Chapter 16. (Natural Language Processing and Chinese Computing; vol. 10619).

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

Neural networks
Recurrent neural networks
Network architecture

An End-to-End Scalable Iterative Sequence Tagging with Multi-Task Learning

Gui, L., Du, J., Zhao, Z., He, Y., Xu, R. & Fan, C., 14 Aug 2018, CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Vol. 11109. p. 288-298 (Natural Language Processing and Chinese Computing; vol. 11109).

Research output: Chapter in Book/Report/Conference proceedingChapter

Processing

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems

Zhao, W. X., Zhang, W., He, Y., Xie, X. & Wen, J-R., 13 Mar 2018, In : ACM Transactions on Information Systems. 36, 3, 33 p., 27.

Research output: Contribution to journalArticle

Open Access
File
Online systems
Mathematical programming
Learning systems
Experiments

Thesis

Implicit emotion detection in text

Author: Orizu, U., 28 Sep 2018

Supervisor: He, Y. (Supervisor) & Lowe, D. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File