I am Thanh Tran, an AI Resident at FPT Software AI Center, under the supervision of Dr. Van Nguyen and Prof. Son Hy. Before that, I obtained my B.S. degree in Computer Science from University of Engineering and Technology, Vietnam National University. I used to intern at VinBigData, working on Automatic Speech Recognition.

My research interests focus on audio and speech synthesis, particularly their generation from other modalities like visual data and text. I also have experience in AI for Science, with two papers and one workshop published in the field of protein design.

My attached CV (last updated: 2024 Dec).

🔥 News

• 2025.03: 🎉 One paper is accepted at Machine Learning: Science and Technology!
• 2024.12: 🎉 One paper is accepted at ICASSP 2025!
• 2024.11: 🎉 One paper is accepted at KDD 2025!
• 2024.10: 🎉 One paper is accepted at Machine Learning in Structural Biology (MLSB) Workshop in NeurIPS 2024!
• 2024.08: 🎉 One paper is accepted at IEEE Transactions on Evolutionary Computation!
• 2023.08: I join FPT Software AI Center as an AI Resident in Vietnam!
• 2021.10: I join VinBigData as a speech research intern in Vietnam!

📝 Publications

ICASSP 2025

Effective Context Modeling Framework for Emotion Recognition in Conversations

Cuong Tran Van*, Thanh V. T. Tran*, Van Nguyen, Truong Son Hy

[Paper] [Code]

• We design a GNN framework modeling both multiscale and multivariate interactions among modalities and utterances within conversations.
• We address class imbalance with a re-weighting scheme in the loss function.

KDD 2025

GROOT: Effective Design of Biological Sequences with Limited Experimental Data

Thanh V. T. Tran*, Nhat Khang Ngo*, Viet Anh Nguyen, Truong Son Hy

[Paper] [Code]

• We introduce a novel framework using graph-based smoothing to train a surrogate model, which is then used in the optimization process.
• We theoretically and empirically show that our technique can expand into extrapolation regions while keeping a reasonable distance from the training data.
• Our method can be applied on diverse tasks of different domains.

• LatentDE: Latent-based Directed Evolution accelerated by Gradient Ascent for Protein Sequence Design, Thanh V. T. Tran, Nhat Khang Ngo, Viet Thanh Duy Nguyen, Truong Son Hy | [Machine Learning: Science and Technology] [Code]
• Protein Design by Directed Evolution guided by Large Language Models, Thanh V. T. Tran, Truong Son Hy | [IEEE Transactions on Evolutionary Computation] [Code]

🎖 Honors and Awards

• University of Engineering and Technology’s Scholarship
• Second prize in ASR Task 1, VLSP 2022 (Certificate)
• Third prize in ASR Task 2, VLSP 2022 (Certificate)
• Third prize in Scientific Research Contest, University of Engineering and Technology (Certificate)

📖 Educations

• 2019.08 - 2023.06, Undergraduate Student, University of Engineering and Technology (UET), Vietnam National University

💻 Industry Experience

• 2023.08 - now, AI Resident, FPT Software AI Center, Hanoi, Vietnam
• 2021.10 - 2022.11, Spoken Language Processing Department, VinBigData, Hanoi, Vietnam.