Quoc-Huy Trinh
Deep Generative Model · Computer Vision · NLP · Multimodal
Hi 👋, I'm Huy — a Vietnamese researcher and a Master's student in Computer Science at Aalto University. I'm passionate about exploring new ideas at the frontier of deep learning and computer vision, and I love building things just to see how they work. Outside of research, I enjoy reading, soccer, music, and films.
My research is supervised by Prof. Minh-Triet Tran, Prof. Ulas Bagci, Prof. Sebastian Szyller, Prof. Bo Zhao, Dr. Debesh Jha, and Msc. Hai-Dang Nguyen.
Research Interests
Education
Aalto University, Espoo, Finland
M.Sc. · Major: Computer Science
Minor: Machine Learning, Data Science and Artificial Intelligence
GPA: 4.82 / 5
Supervisors
Prof. Sebastian Szyller
Prof. Bo Zhao
Prof. Bo Zhao
University of Science, VNU-HCM, Vietnam
B.Sc. (Honor Program) · Major: Information Technology
GPA: 3.58 / 4.0
Supervisors
Prof. Minh-Triet Tran
Msc. Hai-Dang Nguyen
Msc. Hai-Dang Nguyen
Le Hong Phong High School for the Gifted
Publications
2026
Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space
PRS-MED: Position Reasoning Segmentation in Medical Imaging
Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation
2025
CMATalk: Cross Modality Alignment for Talking Head Generation
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
NeIn: Telling What You Don't Want
2024
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
SAM-EG: Segment Anything Model with Edge Guidance framework for efficient Polyp Segmentation
Pose-to-Human (P2H): A pose guidance framework via Gram matrix for Occluded Person Re-identification
PDGS: Pose-Guided Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
KDAS: Knowledge distillation Framework via Attention Supervision for Polyp Segmentation
Pose Knowledge Distill Guidance: Effective Pose guide learning for Person Re-Identification
EAPC: Emotion and Audio Prior Control framework for the emotional and temporal Talking Face Generation
2023
ALGNet: Attention Light Graph Memory Network for Medical Recommendation System
SpeechSyncNet: Speech to Talking Landmark via the fusion of prior frame landmark and the audio
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 transparency challenges
Graph for Transformer Feature: A New Approach for Face Anti-Spoofing
M2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Meta-Polyp: a baseline for efficient Polyp segmentation
Tiny convolution contextual neural network: a lightweight model for skin lesion detection
PEFNet: Positional Embedding Feature for Polyp Segmentation
2022
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Ensemble of Deep Neural Networks for Rice Leaf Disease Classification
Res-Dense Net for 3D Covid Chest CT-Scan Classification
EfficientNet for Brain-Lesion Classification — International Workshop BrainLes 2021
2021
SHREC 2021: Retrieval of Cultural Heritage Objects
Endoscopy Image Retrieval by Mixer Multi-Layer Perceptron
Industry Experience
Lead Machine Learning Engineer — Spex A.I GmbH (Mar 2024 – May 2026)
Machine Learning Engineer — Spex A.I GmbH (Oct 2021 – Mar 2024)
Senior Research Scientist — SongGen (Mar 2024 – May 2025)
Data Scientist — VNG Corporation (2022 – 2024)
Founder — Aeyes – Smart Glasses for Blind (2020 – Present)
Software Developer — Microbox (2021 – 2022)
BaoData (2020)
Academic Experience
Research Intern — Xu Lab, Carnegie Mellon University (Jun 2025 – Present)
Large Vision Language Models
Research Assistant — TAC Lab, Aalto University (Present)
Trustworthiness and reliability of Large Language Models
Research Assistant — Bagci Lab, Northwestern University (Aug 2024 – Present)
Research Intern — Empathic Computing Lab (2022 – 2023)
Research Intern — AIOZ (2021 – 2022)
Academic Service
Reviewer
ACM Multimedia 2025 (ACM MM)
IEEE Transactions on Circuits and Systems for Video Technology — Q1
International Conference on Computer Vision 2025 (ICCV)
Conference on Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
IEEE Transactions on Medical Imaging (TMI)
International Conference on Multimedia and Expo (ICME)
International Conference on Multimedia Modeling (MMM)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
International Joint Conference on Neural Networks (IJCNN)
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Mentorship & Outreach
Partner — VinUni Entrepreneur Lab
Ambassador — H4TF Hackathon 2023
Mentor — STEM Petrus Ky / Le Hong Phong
Technical Mentor — LHPSC
Awards
2024Scholarship awarded by ICME 2024
2024Best Paper Award — AI-SIPM @ ICMR 2024
2023Third Prize — Vietnamese National Invention 2023
2022Second Prize — Vietnamese Invention for Society
2022Excellent Paper Award — ICMV 2022
2022Best Paper Award — RIVF 2022
2022First Prize — Innocity
2022Top 1 — Zoo Hackathon
2021Second Prize — Makethon (no first prize awarded)
2021Second Prize — Software for Student (no first prize awarded)
2021Top 2 Best Project — TensorFlow Community
2021Second Prize — Vietnamese Edtech Startup 2021
2021Top 2 Medical Track — Mediaeval 2021
2021Top 3 — KO Hackathon
2020Top 3 Medical Track — Mediaeval 2020
2020Top 10 / 800 — FGCV 2020 @ CVPR 2020
2020Third Prize — Vietnam National Talent Youth in Computer Science
2019Third Prize — Vietnam National Science and Engineering Fair
2018Bronze Medal — Robotacon
Open Source
SongGen-AI / LLambada
Open-source music generation project.