Wong Hon Cheng
Professor
Department: School of Computer Science and Engineering
Tel.: 8897 2052
Office: A316
E-mail: hcwong@must.edu.mo

Academic Qualification

Ph.D. in Computer Technology and Application, Macau University of Science and Technology (MUST), Macao, China, 2005

 

Teaching Area

Undergraduate Courses:

CS220/SE220 Design and Analysis of Algorithms

CS440/SE440 Computer Graphics

Graduate Course:

MIIZ43 Analysis and Design of Algorithms

 

Research Area

Computer Vision, Computer Graphics, and Image Processing

 

Working Experience

Oct. 2023 to present: Assistant Dean (Accreditation), Faculty of Innovation Engineering, MUST

Jul. 2016 to present: Full Professor, School of Computer Science and Engineering, MUST

Jul. 2017 to Jun. 2019: Assistant Dean, Faculty of Information Technology, MUST

Jul. 2009 to Jun. 2016: Associate Professor, Faculty of Information Technology, MUST

Jul. 2013 to Dec. 2014: Assistant Director, Space Science Institute, MUST

Jan. 2009 to Jun. 2013: Program Coordinator, Faculty of Information Technology, MUST

Aug. 2010: Visiting Scholar, Solar-Terrestrial Environment Laboratory, Nagoya University, Japan

Oct. 2005 to Jun. 2009: Assistant Professor, Faculty of Information Technology, MUST

Sep. 2001 to Sep. 2005: Teaching Assistant, Faculty of Information Technology, MUST

 

Academic Publication (selected)

1.          G. Zhang and H.-C. Wong. “Saliency-based dual-attention network for unsupervised video object segmentation”. Journal of Supercomputing, pp. 4996-5010, 2024.

2.          G. Zhang, H.-C. Wong, J. Zhu, T. An, and C. Wang. “Jigsaw training-based background reverse attention transformer network for guidewire segmentation”. International Journal of Radiology and Surgery, vol. 18, pp. 653-661, 2023.

3.          W. Wang and H.-C. Wong. “Multi-level difference repair architecture for face hallucination”. IEEE Signal Processing Letters, vol. 28, pp. 2048-2052, 2021.

4.          Y. Shang and H.-C. Wong. “Automatic portrait image pixelization”. Computers & Graphics, vol. 95, pp. 47-59, 2021.

5.          G. Zhang, H.-C. Wong, and S.-L. Lo. “Multi-attention network for unsupervised video object segmentation”. IEEE Signal Processing Letters, vol. 28, 71-75, 2021.

6.          W. Wang, H.-C. Wong, S.-L. Lo, and G. Zhang. “Uncouple generative adversarial networks for transferring stylized portraits to realistic faces”. IEEE Access, vol. 8, pp. 213825-213839, 2020.

7.          J. Li, H.-C. Wong, S. He, S.-L. Lo, G. Zhang, and W. Wang. “Deep pixel-level matching via attention for video co-segmentation”. Applied Sciences (Computing and Artificial Intelligence Section), vol. 10, no. 6, 1948, 2020.

8.          Y. Xin, H.-C. Wong, S.-L. Lo, and J. Li. “Progressive full data convolutional neural networks for line extraction from anime-style illustrations”. Applied Sciences (Computing and Artificial Intelligence Section), vol. 10, no. 1, 41, 2020.

9.          J. Li, S. He, H.-C. Wong, and S.-L. Lo. “Proposal-driven segmentation for videos”. IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1098-1102, 2019.

10.      J. Li, H.-C. Wong, S.-L. Lo, and Y. Xin. “Multiple object detection by a deformable part-based model and an R-CNN”. IEEE Signal Processing Letters, vol. 25, no. 2, pp. 288-292, 2018.

11.      X. Xu, V. Angelopoulos, Y. Wang, P. Zuo, H.-C. Wong, and J. Cui. “The energetic particle environment of the lunar nearside: SEP influence”. The Astrophysical Journal, vol. 849, no. 2, Article 151, 2017.

12.      X. Xu, H.-C. Wong, Y. Ma, Y. Wang, P. Zuo, M. Zhou, Y. Peng, and X. Deng. “Anomalously high rate refilling in the near lunar wake caused by the Earth's bow shock”. Journal of Geophysical Research: Space Physics, vol. 122, no. 9, pp. 9102-9114, 2017.

13.      Y. Xin and H.-C. Wong. “Intuitive volume rendeirng on mobile devices”. In Proceedings of 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, pp. 696-701, 2016.

14.      X. Xu, H.-C. Wong, Y. Ma, Y. Wang, P. Zuo, M. Zhou, and X. Deng. “Observations of current sheets associated with solar wind reconnection exhausts passing through the near lunar wake”. Journal of Geophysical Research: Space Physics, vol. 120, no. 11, pp. 1-10, 2015.

15.      X. Xu, H.-C. Wong, Y. Ma, Y. Wang, M. Zhou, P. Zuo, F. Wei, X. Feng, and X. Deng. “Evidence for newly initiated reconnection in the solar wind at 1 AU”. The Astrophysical Journal, vol. 809, no. 1, Article 5, 2015.

16.      Y. Ma, H.-C. Wong, and X. Xu. “Subsonic and sunward-orientated lunar wake observed by ARTEMIS in the geomagnetotail”. Astrophysics and Space Science, vol. 358, no. 34, Article 11, 2015.

17.      X. Xu, Y. Wang, F. Wei, X. Feng, X. Deng, Y. Ma, M. Zhou, Y. Pang, and H.-C. Wong. “Direct evidence for kinetic effects associated with solar wind reconnection”. Scientific Reports, vol. 5, Article 8080, 2015.

18.      U.-H. Wong, T. Aoki, and H.-C. Wong. “Real-time volume visualization for large-scale grid-based fluid simulations on distributed multi-GPU systems”. In Mathematical Progress in Expressive Image Synthesis II, edited by H. Ochiai, K. Anjyo, Springer, pp. 139-152, 2015.

19.      U.-H. Wong, T. Aoki, and H.-C. Wong. “Efficient magnetohydrodynamic simulations on distributed multi-GPU systems using a novel GPU Direct-MPI hybrid approach”. Computer Physics Communications, vol. 185, no. 7, pp. 1901-1913, 2014.

20.      U.-H. Wong, H.-C. Wong, and Y. Ma. “Global magnetohydrodynamic simulations on multiple graphics processing units”. Computer Physics Communications, vol. 185, no. 1, pp. 144-152, 2014.

 

Award

2012 Macao Science and Technology Award (Natural Science), Third Class, awarded by the Government of the Macau Special Administrative Region of the People’s Republic of China (Co-awarded)

 

Student Award

Shengfeng He, MSc student (2009-2011), Postgraduate Award of the 2012 Macao Science and Technology Award

 

Professional Qualification

Selected into the Expert Database of the National Science and Technology Program of the Ministry of Science and Technology of the People's Republic of China, 2012

Certificate in Teaching and Learning in Higher Education, MUST, 2013

Member of Institute of Electrical and Electronic Engineering (IEEE)