3d福彩开奖结果走势图 - 3d福彩开奖结果今日

Profile

Dr. Hong-Bin Liu is an assistant professor in the school of AI and Advanced Computing (AIAC). He obtained his PhD in Information Technology from James Cook University. During his PhD study, Hongbin published several top-tier conference papers in the field of Data Mining and Artificial Intelligence, including ICDM 2019 and ECAI 2020. Immediately before joining the AIAC team, he worked as a casual academic, teaching several data science subjects. Hongbin spent more than five years working in the IT industry prior to undertaking his PhD.

Currently, Hongbin’s research focus is on Artificial Intelligence, Spatio-temporal Reasoning, and Computer Vision. Please feel free to contact him for any research collaboration opportunities.

Qualifications
- PhD, James Cook University, Australia, 2020
- RMIT University, Australia, 2012
Experience
- Assistant Professor, School of AI and Advanced Computing (AIAC), Xi'an Jiaotong-Liverpool University - 2021 to present
- Casual Academics, James Cook University, 2019-2021
- Software Developer, 2013-2017
Research interests
- Artificial Intelligence
- Spatio-Temporal Reasoning
- Computer Vision
Articles
- Gong, H., Su, J., Seng, K. P., Nguyen, A., Liu, A., & Liu, H. (2023). Film-GAN: towards realistic analog film photo generation. Neural Computing and Applications. doi:10.1007/s00521-023-09283-5
- HB. Liu and I. Lee, "MPL-GAN: Toward Realistic Meteorological Predictive Learning Using Conditional GAN," in IEEE Access, vol. 8, pp. 93179-93186, 2020, doi: 10.1109/ACCESS.2020.2995187.
Proceedings
- Liu, Hong-Bin, and Ickjai Lee, "Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting." ECAI 2020. IOS Press, 2020. 1316-1323.
- H. Liu, H. Wu, W. Sun and I. Lee, "Spatio-Temporal GRU for Trajectory Classification." 2019 IEEE International Conference on Data Mining (ICDM), 2019, pp. 1228-1233, doi: 10.1109/ICDM.2019.00152.
- H. Liu and I. Lee, "End-to-end trajectory transportation mode classification using Bi-LSTM recurrent neural network." 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017, pp. 1-5, doi: 10.1109/ISKE.2017.8258799.
Conference presentations
- 2020, ECAI'20, Santiago, Spain. Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting.
- 2019, ICDM'19, Beijing, China. Spatio-Temporal GRU for Trajectory Classification
- 2017, ISKE'17, Nanjing, China. End-to-end trajectory transportation mode classification using Bi-LSTM recurrent neural network
Teaching activities
- DTS205TC High Performance Computing
- DTS202TC Fundamentals of Parallel Computing
Courses taught
- MA5852 Data Science Master Class 2
- MA5810 Introduction to Data Mining
- CP5804 Database Modelling
- MA5832 Data Mining and Machine Learning
- CP5805 Python Programming
- MA5800 R Programming
Professional memberships
- Member, IEEE
- Member, China Computer Federation (CCF)
Awards and honours
- The Australian Government Research Training Program (RTP) Stipend Scholarship, 2017-2020

Hongbin LiuPhD

Profile

Qualifications

Experience

Research interests

Articles

Proceedings

Conference presentations

Teaching activities

Courses taught

Professional memberships

Awards and honours