Yadan Luo 

Lecturer

School of Information Technology and Electrical Engineering               

The University of Queensland

Brisbane, QLD 4072, Australia

[Google Scholar]

Email: y.luo@uq.edu.au

I am a Lecturer / Assistant Professor (Data Science Discipline) at the School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Australia. My research interests include domain adaptation, domain generalization, few-shot / zero-shot learning, active learning. I was the recipient of the Google PhD Fellowship and ICT Young Achiever, WiT. I received my PhD in Computer Science from UQ in 2021, advised by Prof Helen Huang and Dr Mahsa Baktahmotlagh. I received my bachelor's degree in Computer Science from Yingcai Honors College, University of Electronic Science and Technology of China (UESTC) in 2017. 

*For Prospective Students*

I am now looking for highly motivated Ph.D. students. The University of Queensland ranks in the top 50 as measured by the Performance Ranking of Scientific Papers for World Universities. The University also ranks 47 in the QS World University Rankings, 52 in the US News Best Global Universities Rankings, 60 in the Times Higher Education World University Rankings and 55 in the Academic Ranking of World Universities. 

*New sites available now* -> 

https://luoyadan.github.io/

• 1 paper on domain generalization has been accepted by WACV. 2021-08

• 1 paper on cross model retrieval has been accepted by ACM MM. 2021-07

• 1 paper on zero-shot learning has been accepted by TMM. 2021-07

• 1  paper on signed link prediction has been accepted by TKDE. 2021-12

• 2 papers on zero-shot learning and single domain generalization have been accepted by ICCV. 2021-07

• 1 paper on zero-shot learning has been accepted by ACM Multimedia. 2021-07

• 1 paper on graph-based next PoI recommendation has been accepted by IJCAI. 2021-02

• Best Presentation Award, Data Science Discipline End of Year Workshop, 2020. 

• Google PhD Fellowship 2020 [Google Post]. 2020-10

• 1 paper on hashing has been accepted by TNNLS. 2020-07

• 2 papers on video domain adaptation (oral) and heterogeneous domain adaptation have been accepted by ACM Multimedia. 2020-07

• 1 paper on open-set domain adaptation has been accepted by ICML. Video is available. 2020-06 

• 1 paper on deep hashing was accepted by TMM. 2020-05

• 1 paper on image captioning has been accepted by IJCAI. 2020-04

• 1 paper on deep hashing has been accepted by TKDE. 2020-02

• 1 paper on meta-learning has been accepted by AAAI 2020. 2019-11

• Session Best Presentation Award, DKE End of the Year Workshop, 2019

• ACM Multimedia Student Travel Grant, 2019

• Runner-Up Award, University of Queensland 3 Minute Thesis (3MT) Competition  2019

• 1 paper has been accepted by ACM Multimeida 2019. 2019-07

• Zixin Wang, 04/2021 - 

• Zhuoxiao (Ivan) Chen,  01/2021 - 

• Djamahl Etchegaray, 2023 - 

2023 - Course Coordinator: INFS4205: Advanced Techniques for High Dimensional Data

2022 -  Guest Lecturer: INFS4205: Advanced Techniques for High Dimensional Data

2021 -  Associate Lecturer: INFS3208: Cloud Computing [rating: 4.56/5.0]

2021 - Tutor: DATA7901: Data Science Capstone Project [rating: internal 4.53/5.0; external 4.58/5.0]

2020 - Tutor: INFS3208/INFS7208: Cloud Computing [rating: 4.79/5.0]

2018, 2019, 2020 -  Tutor: DECO 7862/COMP7802: Master Thesis Project

2018 - Tutor: INFS 7410: Information Retrieval and Web Search [rating: 4.64/5.0]

1. Session Chair for ICDE2023

2. Session Chair for WISE 2022

3. Volunteer Coordination Chair, ACM Multimedia Asia, 2021

4. Session Chair for CIKM 2021

5. Serving as the PC for ACM Multimedia, CIKM 2021

6. Serving as the invited journal reviewer for TMM, TIP, CYB; the external reviewer for VLDB, SIGIR, ICDE.

7. Serving as the invited journal reviewer for IEEE Transactions on Multimedia (TMM), 2019

8. Serving as the shortlist judge for 2019 WiT Awards Program, 2019 

9. Volunteer in ICRA 2018, Brisbane, Australia, 2018

10. DJI R&D Deep Learning Internship, 2017

• Provide feasible solutions for semantic segmentation & urban understanding

• Derive a smart annotation tool & strategy to promote efficiency of annotators

1. Google PhD Fellowship 2020, Machine Learning Track, 2020

2. The Best Paper Award in 2020 Australian Database Conference (ADC'20), 2020

3. Session Best Presentation Award, DKE End of the Year Workshop, 2019

4. ACM Multimedia Student Travel Grant, 2019

5. Runner-Up Award, University of Queensland 3 Minute Thesis (3MT) Competition,  2019 

6. 5th Place on Fashion-Gen Challenges [link], 2018

7. Session Best Presentation Award, DKE End of the Year Workshop, 2018

8. CIKM Student Travel Grant, 2018

9.  ICT Young Achiever Award, WIT Australia 2018 

10.  UQ Graduate School Scholarship (Tuition + Stipend)

11. ACM Multimedia Student Travel Award, 2016

12. National People Scholarship, University of Electronic Science and Technology of China, 2013 - 2015