Yimeng Dai

Ph.D. Student
School of Computing and Information Systems
The University of Melbourne

E-mail: yimengd AT student DOT unimelb DOT edu DOT au
Address: Level 7, Room 06, Doug McDonell Building, University of Melbourne, Parkville, VIC 3052

EDUCATION

Ph.D. in Computer Science
- Feb. 2017 - Expected Feb. 2021
- University of Melbourne, Australia
- Research: Web Mining, NLP, Deep Learning, User profiling
B.E. in General Science and Computer Science
- Sep. 2012 - Jun. 2016
- Southwest University, China
- Graduated with Honors in the College for Top-talent Cultivation

TECHNICAL SKILLS

Deep Learning Framework
- Proficient with TensorFlow and Theano, Experienced in PyTorch, Keras and Caffe
Deep Learning Application
- Proficient with applying models to text data, Experienced in graph and image data
NLP Tasks
- Proficient with Core NLP tasks, Experienced in natural language understanding and generation
Programming
- Proficient with Python, Experienced in R, Matlab, Java and C++
Collaboration
- Git
Big Data
- Hadoop MapReduce
Database
- SQL, HBase

EXPERIENCES

Visiting Student Researcher
- Jun. 2016 - Jan. 2017
- Big Data and Knowledge Research Group, University of Melbourne, Australia
- Developed deep learning models for academic profile image detection and academic profile entities extraction
Visiting Student Researcher
- Jul. 2015 - May. 2016
- Pervasive Computing Lab, Zhejiang University, China
- Developed machine learning models for context-aware personalized travel location recommendation
Research Assistant
- Oct. 2013 - Jan. 2014
- Information Fusion and Intelligent Science Lab, Southwest University, China
- Developed information fusion algorithms to optimize the analysis hierarchy process

ACADEMIC ACTIVITIES

Invited Talks
- School of Computer Science and Information Technology, RMIT, Australia, 2020
Reviewer
- IEEE-TMM, IEEE-access, ICDE 2020, IJCAI 2017, WWW 2017
Supervision
- Supervised four master students with thesis topics about Representation Learning (2020), Attention Network (2019), Joint Learning (2019) and Time-series Learning (2018)

SELECTED PRIZES AND AWARDS

Melbourne School of Engineering & CIS Conference Travel Grant

National Scholarship of China

Second Province-level Prize of Mathematical Contest in Modeling

PUBLICATIONS

Yimeng Dai, Jianzhong Qi, and Rui Zhang. "Joint Recognition of Names and Publications in Academic Homepages." In Proceedings of the 13th International Conference on Web Search and Data Mining (WSDM), 2020
- Key Words: Memory Network, Position-aware, Alternatingly Updated Memory, Joint Sequence Labelling
Yimeng Dai, Jianzhong Qi, and Rui Zhang. "Person Name Recognition with Fine-grained Name Annotation" ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020
- Key Words: Co-attention, Gated Fusion, Joint Training, Sequence Labelling
Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu and Rui Zhang. "Citation Field Learning by RNN with Limited Training Data." In Pacific-Asia Conference on Knowledge Discovery and Data Mining 2018 (PAKDD): Trends and Applications in Knowledge Discovery and Data Mining , pp. 219-232. Springer, Cham, 2018
- Key Words: Domain Adaptation, Transfer Learning, Data-hungry, Sequence Labelling
Zhenxing Xu, Ling Chen, Yimeng Dai, and Gencai Chen. "A dynamic topic model and matrix factorization-based travel recommendation method exploiting ubiquitous data." IEEE Transactions on Multimedia (IEEE-TMM), 2017
- Key Words: Dynamic Topic Model, Matrix Factorization, Ubiquitous Data, Personalized Recommendation
[Manuscript] Yimeng Dai, Jianzhong Qi, and Rui Zhang. "Web Briefing via Identifying and Understanding the Informative Content"
- Key Words: Multi-model, Text Summary, Keywords Generation and Extraction, Position-aware