About me 🌱

date
Mar 13, 2021
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about
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Published
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My name is Vo Thanh Hoang Son, who is an AI researcher right now. This is my information, let’s reach it out. Contact me via hoangsonvothanh(at)jnu.ac.kr (AI Engineer, Data Science, Ho Chi Minh City, Machine Learning, LLM)
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: [Gmail] / [Scholar] / [Github] / [LinkedIn] / [Leetcode] / [Instagram]
About
Hello, my name is Hoang Son. I'm an artificial intelligence researcher and engineer from Viet Nam/ I finished my bachelor of science in IT degree @HUFLIT/ Now, I’m studying for a master's degree in AI Convergence @CNU/ I have recently been focusing on computer vision, particularly in the areas of medical image processing and emotion-driven vision generation/ You can find more of my information @sowwn.dev
Research Interests
  • Medical Imaging, Image Enhancement.
  • 3D Image Segmentation, Video Generation
Education
2024 - 2026: College of AI Convergence - Chonnam National University (Korea)
  • Certificate:
    • Global Scholarship
    • Gold Award @ 2025 AI Hackathon & Industry-Academia Collaboration Competition
2019 - 2023: Faculty of Infomation Technology - HCMC University of Foreign Languages - Information Technology (Viet Nam)
  • Certificate:
    • Excellent students (Top 1) of academic year 2022-2023
    • Talented student scholarship
  • Degree: Bachelor of Information Technology
  • Graduation thesis: Brain Tumor Detection using Deep Learning, advised by MSc. Tran Nguyen Quynh Tram, co-advised by PhD Nhu-Tai Do (Grade: 9,5/10)
Work Experience
2024:
2023:
Research Experiments
  • Reviewer: @ ICME 2025; @ AVSS 2025
  • Publication:
†: Equal Distribution Highlight
2025
• Hoang-Son Vo, Karina Kolmogortseva, Ngumimi Karen Iyortsuun, Hong-Duyen Vo, Soo-Hyung Kim. “GlobalizeEd: A Multimodal Translation System that Preserves Speaker Identity in Academic Lectures”. (Under review) • Hoang-Son Vo, Quang-Vinh Nguyen, Minh-Duc Nguyen, Soo-Huyng Kim. “Image Sequentialization via Mamba-based Encoder for Contrastive Radiology Report Generation”. (Under review) • Hoang-Son Vo, Hyung-Jeong Yang and Soo-Hyung Kim. “Emotionally Disentangled Talking Head Generation with Vector Quantization and Attention Fusion”. (Under review) • Hoang-Son Vo, Quang-Vinh Nguyen, Soonja Yeom, and Soo-Hyung Kim. “ATL-Diff: Audio-Driven Talking Head Generation with Early Landmarks-Guide Noise Diffusion” 2025 IEEE Internaltional Conference on Advanced Visual and Signal Based System (AVSS 2025) Tainan, Taiwan, 2025 • Quang Vinh Nguyen, Minh Duc Nguyen, Hoang-Son Vo, Hyung-Jeong Yang, and Soo-Hyung Kim, "ANATOMICAL ATTENTION ALIGNMENT REPRESENTATION FOR RADIOLOGY REPORT GENERATION” 2025 IEEE International Conference on Image Processing (ICIP 2025), Anchorage, Alaska, 2025
2024:
• Hoang-Son Vo, Quang-Vinh Nguyen, and Soo-Hyung Kim. "KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation." arXiv preprint arXiv:2409.05330 (2024) • Quang Vinh Nguyen, Hoang-Son Vo, Sae-Ryung Kang and Soo-Hyung Kim, "Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model," Proc. Asian Conf. Computer Vision (ACCV 2024), Hanoi, Vietnam, 2024. doi.org/10.1007/978-981-96-0901-7_11 • Hoang-Son Vo, Nguyen, Q.-V., Yang, H.-J., Shin, J., Kim, S.-H., n.d. “Individual Audio-Driven Talking Head Generation based on Sequence of Landmark.” in ACK 2024: Annual Conference of KIPS, pp. 553-556, Gwangju, Korea. 2024. https://doi.org/10.3745/PKIPS.y2024m10a.553 • Quang Vinh Nguyen, Hoang-Son Vo, Hoang Chau Truong Vinh, Duc Duy Nguyen, Nhat Huy Nguyen Minh and Soo-Hyung Kim, "Rethinking Top Probability from Multi-view for Distracted Driver Behavior Localization," Proc. 12th Int. Conf. Bigdata Applications and Services (BIGDAS 2024), pp. 103-112, Jeju, Korea, Aug. 2024. (Best Paper Award)
2023:
• Nhu-Tai Do†, Hoang-Son Vo†, Tram-Tran Nguyen-Quynh†, and Soo-Hyung Kim, "3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3215-3219, https://doi.org/10.1109/ICIP49359.2023.10222602 • Hoang-Son Vo, Tram-Tran Nguyen-Quynh, Nhu-Tai Do, and Soo-Hyung Kim, “3D Dual-Fusion Attention Network: A fusion attention network for Brain Tumor Segmentation,” in ASK 2023 : Annual Spring Conference of KIPS, pp. 496–498, 2023. https://doi.org/10.3745/PKIPS.y2023m05a.496 • Tai Do Nhu†, Hoang-Son Vo†, Tram Tran Nguyen Quynh, Huy Nguyen Thanh, Thanh Nguyen Thi Ngoc, Huy Nguyen Quoc and Soo-Hyung Kim, “Brain Tumor segmentation based on deep supervision and context feature fusion”, The 16th National Conference on Fundamental and Applied IT Research, FAIR'2023. https://doi.org/110.15625/vap.2023.0017 • Hoang-Son Vo, Tram Tran Nguyen Quynh, Huy Nguyen Quoc and Tai Do Nhu, “DCDynUnet: Deep Supervision Attention Context for Brain Segmentation”, in Advances in Information and Communication Technology, ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, https://doi.org/10.1007/978-3-031-49529-817.
🌱
“I know, I’ll take that by my self”
First time attending an international conference
First time attending an international conference
Bachelor Graduation Ceremony
Bachelor Graduation Ceremony
Achieved Excellence Award – Top Student of the Academic Year at HUFLIT
Achieved Excellence Award – Top Student of the Academic Year at HUFLIT
Gold Award at the CNU Hackathon
Gold Award at the CNU Hackathon
 

Š Hoang Son-Vo Thanh 2022 - 2026