Personal Portfolio
Education
| Degree | University | Year |
|---|---|---|
| D.Eng. (Computer Science and Technology) | East China University of Science and Technology (ECUST) | 2023 |
| M.S. (Control Science and Engineering) | Beijing Institute of Technology (BIT) | 2017 |
| B.Sc. (Computer Engineering) | Chiang Mai University | 2012 |
Research Interests
Artificial Intelligence, Computer Vision, Generative Model, Few-Shot Learning
Publication
| Authors | Title | Year | Source title |
|---|---|---|---|
| Phaphuangwittayakul A.; Ying F.; Guo Y.; Zhou L.; Chakpitak N. | Few-shot image generation based on contrastive meta-learning generative adversarial network | 2023 | Visual Computer |
| Phaphuangwittayakul A.; Ying F.; Guo Y.; Guohui; Santisookrat S. | Adaptive adversarial prototyping network for few-shot prototypical translation | 2023 | Journal of Visual Communication and Image Representation |
| Phaphuangwittayakul A.; Guo Y.; Ying F.; Dawod A.Y.; Angkurawaranon S.; Angkurawaranon C. | An optimal deep learning framework for multi-type hemorrhagic lesions detection and quantification in head CT images for traumatic brain injury | 2022 | Applied Intelligence |
| Phaphuangwittayakul A.; Guo Y.; Ying F. | Fast Adaptive Meta-Learning for Few-Shot Image Generation | 2022 | IEEE Transactions on Multimedia |
| Dawod A.Y.; Phaphuangwittayakul A.; Angkurawaranon S. | A hybrid method for traumatic brain injury lesion segmentation | 2022 | International Journal of Electrical and Computer Engineering |
| Dawod A.Y.; Phaphuangwittayakul A.; Ying F.; Angkurawaranon S. | Adaptive slices in brain haemorrhage segmentation based on the slic algorithm | 2021 | Engineering Letters |
| Phaphuangwittayakul A.; Guo Y.; Ying F.; Xu W.; Zheng Z. | SELF-ATTENTION RECURRENT SUMMARIZATION NETWORK WITH REINFORCEMENT LEARNING FOR VIDEO SUMMARIZATION TASK | 2021 | Proceedings - IEEE International Conference on Multimedia and Expo |
| Dawod A.Y.; Phaphuangwittayakul A. | Adaptive Image Segmentation for Traumatic Brain Haemorrhage | 2021 | TEM Journal |
| Panpeng V.; Fang M.; Phaphuangwittayakul A.; Rattanadamrongaksorn T. | Preliminary study and implementation of chiang mai tourism platform based on dosa | 2021 | Advances in Intelligent Systems and Computing |
| Wang S.; Malang K.; Yuan H.; Phaphuangwittayakul A.; Lv Y.; Lowdermilk M.D.; Geng J. | Extracting Skeleton of the Global Terrorism Network Based on m-Modified Topology Potential | 2020 | Complexity |
| Malang K.; Wang S.; Phaphuangwittayakul A.; Lv Y.; Yuan H.; Zhang X. | Identifying influential nodes of global terrorism network: A comparison for skeleton network extraction | 2020 | Physica A: Statistical Mechanics and its Applications |
| Malang K.; Wang S.; Lv Y.; Phaphuangwittayakul A. | Skeleton network extraction and analysis on bicycle sharing networks | 2020 | International Journal of Data Warehousing and Mining |
| Tiammee S.; Wongyai J.; Udomwong P.; Phaphuangwittayakul A.; Saenchan L.; Chanaim S. | Smart farming in Thailand | 2019 | 2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019 |
| Phaphuangwittayakul A.; Saranwong S.; Panyakaew S.-N.; Inkeaw P.; Chaijaruwanich J. | Analysis of Skill Demand in Thai Labor Market from Online Jobs Recruitments Websites | 2018 | Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018 |
| Yuan H.; Malang K.; Lv Y.; Phaphuangwittayakul A. | From complex network to skeleton: M j -Modified topology potential for node importance identification | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |