Dr Yunfei Long

School of Computer Science and Electronic Engineering (CSEE)
Dr Yunfei Long
  • Email

  • Location

    Colchester Campus

  • Academic support hours

    My Academic Support Hours will be: Thursday 14:00-16:00 For CE 201 16:00-18:00 For CE 314/887



My research is focused on natural language understanding, mainly text processing (including multimodality processing), user profiling, emotion analysis, and digital mental health.


  • PhD The Hong Kong Polytechnic University, (2019)

Research and professional activities

Research interests

Developing novel Natural Language Processing and Graph Representation Learning techniques for modelling health related data

This research aims to develop a series of improvement works for NLP and GRL in clinical data and other health-related data that will provide: 1. Adapt Responsible Research & Innovation (RRI) methods to start the interdisciplinary clinical data science and NLP works in Essex. 2. Prototype a person-centered supervised model training process to refine definitions and expose and explore tacit and latent knowledge in psychotherapy assessment. 3. Identify the key factors contributing to performance and trust in the model pipeline (data, processing, deployment) by examining domain expert requirements for the qualities of an engaging, interactive feedback interface and eliciting broader concerns about its acceptability. 4. Assess whether patient and practitioner knowledge base in developing a digital mental health decision support tool increases performance and trust in it.

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Team Project Challenge (CE201)

  • Natural Language Engineering (CE314)

  • Natural Language Engineering (CE887)


Journal articles (21)

Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2021). Orthographic features for emotion classification in Chinese in informal short texts. Language Resources and Evaluation. 55 (2), 329-352

Wu, T., Zhou, J., Qu, W., Gu, Y., Li, B., Zhong, H. and Long, Y., (2021). Improving AMR parsing by exploiting the dependency parsing as an auxiliary task. Multimedia Tools and Applications. 80 (20), 30827-30838

Lin, Z., Long, Y., Du, J. and Xu, R., (2021). A Multi-modal Sentiment Recognition Method Based on Multi-task Learning. Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis. 57 (1), 7-15

Ong, ZX., Dowthwaite, L., Perez Vallejos, E., Rawsthorne, M. and Long, Y., (2021). Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures. Frontiers in Psychology. 12, 616637-

Xiang, R., Chersoni, E., Lu, Q., Huang, C., Li, W. and Long, Y., (2021). Lexical data augmentation for sentiment analysis. Journal of the Association for Information Science and Technology. 72 (11), 1432-1447

Jin, G., Zhou, J., Qu, W., Long, Y. and Gu, Y., (2021). Exploiting Rich Event Representation to Improve Event Causality Recognition. Intelligent Automation & Soft Computing. 29 (3), 161-173

Ito-Jaeger, S., Perez Vallejos, E., Curran, T., Spors, V., Long, Y., Liguori, A., Warwick, M., Wilson, M. and Crawford, P., (2021). Digital video interventions and mental health literacy among young people: a scoping review.. Journal of Mental Health, 1-11

Shi, H., Qu, W., Wei, T., Zhou, J., Long, Y., Gu, Y. and Li, B., (2021). Hybrid Neural Network for Automatic Recovery of Elliptical Chinese Quantity Noun Phrases. Computers, Materials & Continua. 69 (3), 4113-4127

Shen, J., Ma, MD., Xiang, R., Lu, Q., Vallejos, EP., Xu, G., Huang, C-R. and Long, Y., (2020). Dual memory network model for sentiment analysis of review text. Knowledge-Based Systems. 188, 105004-105004

Bergin, AD., Vallejos, EP., Davies, EB., Daley, D., Ford, T., Harold, G., Hetrick, S., Kidner, M., Long, Y., Merry, S., Morriss, R., Sayal, K., Sonuga-Barke, E., Robinson, J., Torous, J. and Hollis, C., (2020). Preventive digital mental health interventions for children and young people: a review of the design and reporting of research. npj Digital Medicine. 3 (1), 133-

Wei, T., Qu, W., Zhou, J., Long, Y., Gu, Y. and Xia, Z., (2020). Improving Chinese Word Representation with Conceptual Semantics. Computers, Materials & Continua. 64 (3), 1897-1913

Xiang, R., Lu, Q., Jiao, Y., Zheng, Y., Ying, W. and Long, Y., (2019). Leveraging writing systems changes for deep learning based Chinese affective analysis. International Journal of Machine Learning and Cybernetics. 10 (11), 3313-3325

Long, Y., Xiang, R., Lu, Q., Huang, C-R. and Li, M., (2019). Improving attention model based on cognition grounded data for sentiment analysis. IEEE Transactions on Affective Computing, 1-1

Chen, I-H., Zhao, Q., Long, Y., Lu, Q. and Huang, C-R., (2019). Mandarin Chinese modality exclusivity norms. PLoS One. 14 (2), e0211336-e0211336

Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2019). Metaphor Detection: Leveraging Culturally Grounded Eventive Information. IEEE Access. 7, 10987-10998

Zhou, J., Lu, Q., Gui, L., Xu, R., Long, Y. and Wang, H., (2019). MTTFsite: cross-cell type TF binding site prediction by using multi-task learning.. Bioinformatics. 35 (24), 5067-5077

Li, M., Lu, Q., Xiong, D. and Long, Y., (2018). Phrase embedding learning based on external and internal context with compositionality constraint. Knowledge-Based Systems. 152, 107-116

Zhao, Q., Huang, C-R. and Long, Y., (2018). Synaesthesia in Chinese: A corpus-based study on gustatory adjectives in Mandarin. Linguistics. 56 (5), 1167-1194

Long, Y., Xiang, R., Lu, Q., Xiong, D., Huang, C-R., Bi, C. and Li, M., (2018). Learning Heterogeneous Network Embedding From Text and Links. IEEE Access. 6, 55850-55860

Li, M., Lu, Q., Long, Y. and Gui, L., (2017). Inferring Affective Meanings of Words from Word Embedding. IEEE Transactions on Affective Computing. 8 (4), 443-456

Gu, Y., Wang, D., Wang, Y., Long, Y., Jiang, S., Zhou, J. and Qu, W., (2016). Similar spatial textual objects retrieval strategy. Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis. 52 (1), 120-126

Conferences (19)

Long, Y., Xu, H., Qi, P., Zhang, L. and Li, J., (2021). Graph Attention Network for Word Embeddings

Zhao, Q., Xiao, Y. and Long, Y., (2021). Multi-task CNN for Abusive Language Detection

Xiang, R., Chersoni, E., Long, Y., Lu, Q. and Huang, C-R., (2020). Lexical Data Augmentation for Text Classification in Deep Learning

Zhao, Q., Long, Y. and Huang, C-R., (2020). Linguistic Synaesthesia of Mandarin Sensory Adjectives: Corpus-Based and Experimental Approaches

Xiang, R., Gao, X., Long, Y., Li, A., Chersoni, E., Lu, Q. and Huang, C-R., (2020). Ciron: a New Benchmark Dataset for Chinese Irony Detection

Xiang, R., Long, Y., Wan, M., Gu, J., Lu, Q. and Huang, C-R., (2020). Affection Driven Neural Networks for Sentiment Analysis

Zhong, H., Zhou, J., Qu, W., Long, Y. and Gu, Y., (2020). An Element-aware Multi-representation Model for Law Article Prediction

Klyueva, N., Long, Y., Huang, CR. and Lu, Q., (2018). Food-related sentiment analysis for Cantonese

Long, Y., (2017). Fake News Detection Through Multi-Perspective Speaker Profiles

Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2017). Leveraging Eventive Information for Better Metaphor Detection and Classification

Long, Y., Qin, L., Xiang, R., Li, M. and Huang, C-R., (2017). A Cognition Based Attention Model for Sentiment Analysis

Li, M., Lu, Q. and Long, Y., (2017). Representation Learning of Multiword Expressions with Compositionality Constraint

Li, M., Long, Y., Lu, Q. and Li, W., (2016). Emotion corpus construction based on selection from hashtags

Li, M., Long, Y. and Lu, Q., (2016). A regression approach to valence-arousal ratings of words from word embedding

Li, M., Wang, D., Lu, Q. and Long, Y., (2016). Event based emotion classification for news articles

Long, Y., Lu, Q., Xiao, Y., Li, M. and Huang, C-R., (2016). Domain-specific user preference prediction based on multiple user activities

Long, Y., Xiong, D., Lu, Q., Li, M. and Huang, C-R., (2016). Named Entity Recognition for Chinese Novels in the Ming-Qing Dynasties

Li, M., Lu, Q., Gui, L. and Long, Y., (2016). Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data

Li, B., Long, Y. and Qu, W., (2015). Dependency parsing for Chinese long sentence: A second-stage main structure parsing method

Grants and funding


ExTRA-PPOLATE (Explainable Therapy Related Annotations: Patient & Practitioner Oriented Learning Assisting Trust & Engagement)

Engineering and Physical Sciences Research Council


Mondaq KTP 2

Innovate UK (formerly Technology Strategy Board)



Colchester Campus

Academic support hours:

My Academic Support Hours will be: Thursday 14:00-16:00 For CE 201 16:00-18:00 For CE 314/887