CV · REV 2026.09

Hoang‑Son Vo.

AI Researcher & Engineer · Ho Chi Minh City, Vietnam

AI researcher and engineer working at the intersection of Computer Vision and Human-Computer Interaction — 3D medical image analysis, brain reconstruction, and audio-driven talking-head generation. M.Sc. in AI Convergence (Chonnam National University); 15+ papers across ICIP, ACCV, AVSS, BMVC.

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01Education
DEG.02

M.Sc. in Artificial Intelligence

2024 — 2026

College of AI Convergence — Chonnam National University · Korea

DEG.01

B.Sc. in Information Technology

2019 — 2023

Faculty of Information Technology — HCMC University of Foreign Languages and Information Technology (HUFLIT) · Vietnam

02Experience

Teaching Assistant

2026 · Present
@ AI Vietnam

Research Assistant

2024 · 2 Years
@ PRLab

AI Consultant (Freelancer)

2024 · Present
@ V-Star Data

AI Engineer, Octokit

2023 · 1 Year
@ Marvy Co.

Project Developer (Internship)

2023 · Internship
@ DKiV
03Skills

Research

Computer VisionMedical Image Analysis3D SegmentationGenerative Models (Diffusion, Flow Matching)Brain-Computer Interaction

Engineering

PythonPyTorchGPU-accelerated trainingMamba / Transformer architecturesMONAIDocker

Languages

Vietnamese (native)English (professional)Korean (basic)
04Awards & Honors
  • 2025Gold Award — 2025 AI Hackathon & Industry-Academia Collaboration Competition
  • 2024Best Paper Award — BIGDAS 2024
  • 2024Global Scholarship — Chonnam National University
  • 2023Excellent Student (Top 1), AY 2022–2023 — HUFLIT
  • 2022Talented Student Scholarship — HUFLIT
05Reviewer Service
ICME 2025,2026AVSS 2025ICASSP 2026
06Selected Publications · 12
  1. 01Bui Van Hung, Hoang-Son Vo, Mai Duc Minh Huy, Dang Thanh Vu, Soo-Hyung Kim. MultiFlow: Vision-Driven Multimodal fMRI Encoding via Stimulus-Informed Source Flow Matching. BMVC 2026, 2026
  2. 02Bui Van Hung, Dang Thanh Vu, Hoang-Son Vo, Mai Duc Minh Huy, Mai Tien Dung, Soo-Hyung Kim. Conditional Flow Matching for Local Synthesis of Healthy Brain Tissue in 3D MRI. MICCAI BraTS 2026 Challenge, 2026
  3. 03Hoang-Son Vo, Hyung-Jeong Yang, Soo-Hyung Kim. Emotionally Disentangled Talking Head Generation with Vector Quantization and Attention Fusion. IEEE Multimedia, 2025
  4. 04Hoang-Son Vo, Quang-Vinh Nguyen, Soonja Yeom, Soo-Hyung Kim. ATL-Diff: Audio-Driven Talking Head Generation with Early Landmarks-Guide Noise Diffusion. AVSS 2025 — IEEE Int. Conf. on Advanced Visual and Signal Based Systems, Tainan, Taiwan, 2025
  5. 05Quang Vinh Nguyen, Minh Duc Nguyen, Hoang-Son Vo, Hyung-Jeong Yang, Soo-Hyung Kim. Anatomical Attention Alignment Representation for Radiology Report Generation. ICIP 2025 — IEEE Int. Conf. on Image Processing, Anchorage, Alaska, 2025
  6. 06Quang Vinh Nguyen, Hoang-Son Vo, Sae-Ryung Kang, Soo-Hyung Kim. Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic Model. ACCV 2024 — Asian Conference on Computer Vision, Hanoi, Vietnam, 2024 · doi:10.1007/978-981-96-0901-7_11
  7. 07Hoang-Son Vo, Quang-Vinh Nguyen, Hyung-Jeong Yang, Jaewook Shin, Soo-Hyung Kim. Individual Audio-Driven Talking Head Generation based on Sequence of Landmark. ACK 2024 — Annual Conference of KIPS, Gwangju, Korea, 2024 · doi:10.3745/PKIPS.y2024m10a.553
  8. 08Quang Vinh Nguyen, Hoang-Son Vo, Hoang Chau Truong Vinh, Duc Duy Nguyen, Nhat Huy Nguyen Minh, Soo-Hyung Kim. Rethinking Top Probability from Multi-view for Distracted Driver Behavior Localization. BIGDAS 2024 — 12th Int. Conf. on Bigdata Applications and Services, Jeju, Korea, 2024
  9. 09Nhu-Tai Do†, Hoang-Son Vo†, Tram-Tran Nguyen-Quynh†, Soo-Hyung Kim. 3D-DDA: 3D Dual-Domain Attention for Brain Tumor Segmentation. ICIP 2023 — IEEE Int. Conf. on Image Processing, Kuala Lumpur, Malaysia, 2023 · doi:10.1109/ICIP49359.2023.10222602
  10. 10Hoang-Son Vo, Tram-Tran Nguyen-Quynh, Nhu-Tai Do, Soo-Hyung Kim. 3D Dual-Fusion Attention Network: A fusion attention network for Brain Tumor Segmentation. ASK 2023 — Annual Spring Conference of KIPS, 2023 · doi:10.3745/PKIPS.y2023m05a.496
  11. 11Tai Do Nhu†, Hoang-Son Vo†, Tram Tran Nguyen Quynh, Huy Nguyen Thanh, Thanh Nguyen Thi Ngoc, Huy Nguyen Quoc, Soo-Hyung Kim. Brain Tumor Segmentation Based on Deep Supervision and Context Feature Fusion. FAIR 2023 — 16th National Conference on Fundamental and Applied IT Research, 2023 · doi:10.15625/vap.2023.0017
  12. 12Hoang-Son Vo, Tram Tran Nguyen Quynh, Huy Nguyen Quoc, Tai Do Nhu. DCDynUnet: Deep Supervision Attention Context for Brain Segmentation. ICTA 2023 — Lecture Notes in Networks and Systems, vol. 847, Springer, 2023 · doi:10.1007/978-3-031-49529-8_17