Meng Fang

Research Fellow


School of Computing and Information Systems
The University of Melbourne, Victoria 3052, Australia
Room: 8.11, Doug McDonell Building (Building 168)
Phone: +61 3 8344 1323
Email: [first_name][dot][last_name]

General Information

I'm currently a Research Fellow at the University of Melbourne working with Trevor Cohn. I'm now working on the DARPA LORELEI project, primarily about low resource language processing and exploiting sparse human supervision.

Before joining UniMelb, I received my Ph.D. degree from University of Technology Sydney. During the PhD study, I worked with Prof. Dacheng Tao (Primary Advisor), Dr. Jie Yin and Prof. Xingquan Zhu on Artificial Intelligence. I also worked as an intern at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Microsoft Research Asia (MSRA) before. Find more details about me in my CV.

Research Interests

Natural language processing, Deep learning, Reinforcement learning, Machine learning, Data mining.

Recent Publications

  • Meng Fang, Yuan Li and Trevor Cohn. Learning how to Active Learn: A Deep Reinforcement Learning Approach. The 2017 Conference on Empirical Methods on Natural Language Processing (EMNLP), 2017. Code
  • Meng Fang and Trevor Cohn. Model Transfer for Tagging Low-resource Languages without Bilingual Corpora. The Annual Meeting of the Association for Computational Linguistics (ACL), 2017. Code

  • Others

  • DBLP
  • Github

  • Last updated on 18 Oct 2017