Du, Lan

Faculty of Information Technology

Room 270, Woodside Building - 20 Exhibition Walk

Monash University, Clayton, VIC 3800

Tel: +61 3 9905 9971

Email: given_name dot surname at monash dot edu

Intro

Dr. Lan Du is a senior lecturer at Monash University, and affiliated with the machine learning group in Department of Data Science and AI. He is a teaching and research academic in the Faculty of IT, Monash University. He is also faculty's director of master programs. Before joining Monash, he was a post-doc research fellow working with Prof Mark Johnson at Macquarie University. He recieved his Ph.D. degree in computer science from the Australian National University, under the supervision of Prof Wray Buntine and Dr. Huidong Jin.

His research interest lies in the joint area of machine/deep learning and natural language processing and their applications in different domians, such as public health, where he and his resarch team are developing cutting-edge NLP technologies for AI-enabled medical NLP.

Particularly, his research touches on

  • Deep generative modells
  • Deep Multimodal learning (with interpretability)
  • Multilabel learning for NLP and CV
  • Neural topic modelling
  • Nearest neigbour methods for computer vision
  • Knowledge distillation
  • Federated Learning
  • Meta Learning

He is looking for self-motivated, creative Ph.D. students who are willing to dedicate themselves in machine learning and NLP research. The PhD candidates can be found via (click the hyperlink for more information)

If you are interested in pursuing your Ph.D. at Monash, and if you think you are competitive enough (E.g., the WAM of your master study is equivalent to H1 honour, and you have gained some research experience) to apply for the scholarship, then
  • Read how to apply, and review your own eligibility
  • If you are eligible, send me your CV, both the bachelor and the master transcripts, and a list of publications if any.
Besides, all the candidates should be proficient in programming, particularly Python. More information can be found here.

Recent Research highlights

  • One Survey paper on neural topic modelling was accepted by IJCAI 2021 survey track (NEW!)
  • One paper was accepted by International Journal of Intelligent Systems (NEW!)
  • One paper was accepted by PAKDD 2021 (NEW!)
  • One paper was accepted by TKDD (NEW!)
  • Recent success in two large government funds:
    • Medical Research Future Fund (MRFF): 1.9M (NEW!)
    • National Health and Medical Research Councile (NHMRF) idea grant: 636K(NEW!)
  • One paper was accepted by Data Mining and Knowledge Discovery (NEW!)
  • AAAI 2021 senior PC
  • One paper was accepted by EMNLP 2020
  • One paper was accepted by SIGIR 2020
  • One paper was accepted by AISTATS 2020

Grants and Awards