Dr. Tingting Mu

 
 

Research:


My research is focused on developing advanced mathematical modelling and large-scale optimisation techniques to (1) simulate human intelligence and (2) analyse real-world complex data. For (1), I aim at  constructing effective machine learning models to automate tasks such as matching, recognition, prediction, ranking, inference, characterisation, language and vision understanding, etc. For (2), I aim at developing algorithms to discover latent structure and extract information from large-scale, noisy and unstructured data, e.g., text, image, video, signal, network data, supporting development of text mining systems and other related research areas such as bioinformatics.


Selected Publications:


  1. *T. Mu, J. Y. Goulermas and S. Ananiadou, Data visualization with structural control of global cohort and local data neighborhoods, IEEE Trans. on Pattern Analysis and Machine Intelligence, 40(6):1323-1337, 2018. [preprint, link] [demo video: COVA-E1, COVA-P1]

  2. *A. J. Brockmeier, T. Mu, S. Ananiadou and J. Y. Goulermas, Quantifying the informativeness of similarity measurements, Journal of Machine Learning Research, 18(76):1-61, 2017. [link]

  3. *T. Mu, J. Y. Goulermas, I. Korkontzelos and S. Ananiadou, Descriptive document clustering via discriminant learning in a co-embedded space of multi-level similarities, Journal of the Association for Information Science and Technology, 67(1):106-133, 2016.  [preprint]

  4. * D. Bollegala, T. Mu, J. Y. Goulermas, Cross-domain sentiment classification using sentiment sensitive embeddings, IEEE Trans. on Knowledge and Data Engineering, 28(2):398-410, 2016. [link]

  5. * J. Y. Goulermas, A. Kostopoulos and T. Mu, A new measure for analyzing and fusing sequences of objects,  IEEE Trans. on Pattern Analysis and Machine Intelligence, 38(5):833-848, 2015. [preprint]

  6. * T. Mu and J. Y. Goulermas, Automatic generation of co-embeddings from relational data with adaptive shaping, IEEE Trans. on Pattern Analysis and Machine Intelligence, 35(10):2340-2356, 2013. [preprint]

  7. * T. Mu, J. Jiang, Y. Wang and J. Y. Goulermas, Adaptive data embedding framework for multi-class classification, IEEE Trans. on Neural Networks and Learning Systems, 23(8):1291-1303, 2012. [preprint]

  8. * T. Mu, J. Y. Goulermas, T. Tsujii and S. Ananiadou, Proximity-based frameworks for generating embeddings from multi-output data, IEEE Trans. on Pattern Analysis and Machine Intelligence, 34(11):2216-2232, 2012. [link]

Lecturer (Assistant Professor)

BEng (USTC), PhD (Liverpool), MIEEE


School of Computer Science

University of Manchester

Kilburn Building, Manchester, UK, M13 9PL

Email: tingting.mu@manchester.ac.uk

Telephone: +44 (0)161 275 6243

Room: 293


Links: REF, Ranking, Ph.D. Application, Ph.D. Projects, Ph.D. Funding


I received my B.Eng. degree from School of the Gifted Young, University of Science and Technology of China in 2004, and Ph.D. degree from Department of Electrical Engineering and Electronics, University of Liverpool in 2008. Before I joined the school in 2016, I was a lecturer in Department of Electrical Engineering and Electronics, University of Liverpool.

 

My Team:


  1. *Alessio Sarullo, Ph.D. student (2016-present),

  B.Sc. and M.Sc. in Computer Science, University of Florence, Italy,

  Working on visual question answering and visual scene understanding.


  1. *Arvid Fahlström Myrman, Ph.D. student (2017-present),

   B.Sc. and MSc. in Computer Science, KTH Royal Institute of Technology, Sweden,

   Working on generative models.


  1. *Rui Qin, Ph.D. student (2017-present),

  B.Eng. in Electronic Engineering, Tsinghua University, China,

  Working on data embedding and visualisation.


Past Students:


  1. *Yu Wu, Ph.D. student, working on relational data analysis,

  (Funded by UoL departmental scholarship and Chinese scholarship council)

  1. *Jinmeng Wu, Ph.D. student, working on deep learning for question answering.

  (Funded by UoL scholarship for XJTLU graduates)

  1. *Xinjian Gao, Visiting Ph.D. student, working on deep learning for multimodal image retrieval.

  (Funded by Chinese scholarship council)

  1. *Yanbin Hao, Visiting Ph.D. student, working on stochastic video hashing for retrieval.

  (Funded by Chinese scholarship council)

  1. *Weijie Fu, Visiting Ph.D. student, working on large-scale graph based learning.

  (Funded by Chinese national 111 project)

Collaborators:


Dr. Yannis J. Goulermas (Dept. Computer Science, University of Liverpool)

Prof. Sophia Ananiadou (NaCTeM, University of Manchester)

Prof. Meng Wang (School of Computation and Information, Hefei University of Technology)

Dr. Jeyan Thiyagalingam (Dept. of EEE, University of Liverpool)

Dr. Hengchang Liu (School of Computer Science, University of Science and Technology of China)

Prof. Jason Ralph (Dept. of EEE, University of Liverpool)

Prof. Jun'ichi Tsujii (AI Research Center, Japan)