Cong Dao Tran

Cong Dao Tran

Biography

Hi there, welcome to my personal page!

I am currently an AI Researcher at FPT Software AI Center, Vietnam (previously AI Research Resident under the supervision of Dr. Hoang Thanh Tung). I hold a Master’s degree in Data Science and Artificial Intelligence and a Bachelor’s degree in Computer Science under the supervision of Prof. Huynh Thi Thanh Binh at the School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Vietnam.

My research interests lie in the intersection of optimization, artificial intelligence, and machine learning. I am interested in the topics of natural language processing, operations research, graph neural networks, reinforcement learning, and evolutionary computation. Currently, I am focusing on Deep Reinforcement Learning (DRL) and Large Language Models (LLMs), and their applications in optimization problems.

🔥 News

📝 Publications

Conferences

  • Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation, by Nguyen Tri Quan, Cong Dao Tran, Hoang Thanh Tung, The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
  • Large Language Models powered Neural Solvers for Vehicle Routing Problems, by Cong Dao Tran, Nguyen Tri Quan, Huynh Thi Thanh Binh, Hoang Thanh Tung, ICLR Workshop on Agentic AI (ICLR Workshop on Agentic AI 2025) Best Paper Honorable Mention
  • MNDE: Node-depth based Encodings can do better in Multitasking Evolutionary Algorithms, by Cong Dao Tran, Do Tuan Anh, Huynh Thi Thanh Binh, Do Duc Anh, Ban Ha Bang, Su Nguyen, The Genetic and Evolutionary Computation Conference (GECCO 2023) [paper, poster]
  • ViDeBERTa: A powerful pre-trained language model for Vietnamese, by Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu, The European Chapter of the ACL (EACL 2023) [paper, poster]
  • A Multifactorial Evolutionary Algorithm For Minimum Energy Cost Data Aggregation Tree In Wireless Sensor Networks, by Cong Dao Tran, Tran Huy Hung, Nguyen Thi Tam, Huynh Thi Thanh Binh, IEEE Congress on Evolutionary Computation (CEC 2021)

Journals

  • Multi-Hop Routing for IoT-Based Digital Twin: Novel Metaheuristic Approaches, by Cong Dao Tran, Nguyen Cong Luong, Ngoc Hung Nguyen, Xingwang Li, Dusit Niyato, Dong In Kim, IEEE Internet of Things Journal (2025)
  • A Hybrid and Adaptive Evolutionary Approach for Multitask Optimization of Post-Disaster Traveling Salesman and Repairman Problems, by Ban Ha Bang, Huynh Thi Thanh Binh, Tuan Anh Do, Cong Dao Tran, Su Nguyen, Computers and Operations Research
  • Node depth Representation-based Evolutionary Multitasking Optimization for Maximizing the Network Lifetime of Wireless Sensor Networks, by Cong Dao Tran, Nguyen Thi Tam, Huynh Thi Thanh Binh, Engineering Applications of Artificial Intelligence
  • Node-depth based Genetic Algorithm to solve Inter-Domain path computation problem, by Do Tuan Anh, Huynh Thi Thanh Binh, Do Luong Kien, Nguyen Hoang Long, Cong Dao Tran, Ban Ha Bang, Knowledge-Based Systems
  • A Greedy Search based Evolutionary Algorithm for Electric Vehicle Routing problem, by Vu Quoc Hien, Cong Dao Tran, Huynh Thi Thanh Binh, Applied Intelligence
  • Parameter Adaptation in Multifactorial Evolutionary Algorithm for Many-task Optimization, by Ta Bao Thang, Cong Dao Tran, Nguyen Hoang Long, Huynh Thi Thanh Binh, Memetic Computing
  • An energy efficient scheme for maximizing data aggregation tree lifetime in wireless sensor network, by Cong Dao Tran, Nguyen Thi Tam, Nguyen Quang Quy, Huynh Thi Thanh Binh, Journal of Ambient Intelligence and Humanized Computing

Preprints

  • Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization, by Minh Hieu Ha, Hung Phan, Tung Duy Doan, Tung Dao, Cong Dao Tran, Huynh Thi Thanh Binh, under review
  • MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework, by Nguyen Viet Tuan Kiet, Dao Van Tung, Cong Dao Tran, Huynh Thi Thanh Binh, under review
  • Symmetry-preserving graph attention network to solve routing problems at multiple resolutions, by Cong Dao Tran et al.,
  • Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs, by Cong Dao Tran et al.,

🎖 Honors and Awards

  • 2025: Best Paper Honorable Mention - ICLR Workshop on Agentic AI 2025
  • 2025: First Runner-up in Competition on LLM-designed Evolutionary Algorithms - The Genetic and Evolutionary Computation Conference (GECCO 2025)
  • 2025: First Runner-up in Competition on Numerical Global Optimization Competition on GNBG-Il generated Test Suite - The Genetic and Evolutionary Computation Conference (GECCO 2025)
  • 2023: Scholarship for Master and Doctoral Training in Vietnam (~2,500 USD) - Vingroup Innovation Foundation (VinIF)
  • 2022, 2021: First Prize in Competition on Evolutionary Multi-task Optimization, Multi-task single-objective optimization - IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation
  • 2021: Full Scholarship for Master and Doctoral Training in Vietnam (~5,000 USD) - Vingroup Innovation Foundation (VinIF)
  • 2021: Best Thesis Presentation Award - School of Information and Communication Technology - Hanoi University of Science and Technology
  • 2021: Second Prize in the Scientific Research Student Award - Hanoi University of Science and Technology
  • 2021: Excellent Scholarship for the academic year (~1,000 USD) - Hanoi University of Science and Technology
  • 2020: Runner up in Competition on Evolutionary Multi-task Optimization, Multi-task single-objective optimization - IEEE World Congress on Computational Intelligence 2020
  • 2020: Third Prize in Competition on Electric Vehicle Routing Problem - IEEE World Congress on Computational Intelligence 2020
  • 2017: Excellent score in National University Exam (30.4/30, 1 regional priority point)
  • 2014, 2015, 2017: First Second Prize in Provincial Excellent Student in Mathematics

📖 Educations

  • 2022.01 - 2023.10 (now): Master’s degree in Data Science and Artificial Intelligence at School of Information and Communication Technology, Hanoi University of Science and Technology.
  • 2017.09 - 2021.10: Bachelor’s degree in Computer Science at School of Information and Communication Technology, Hanoi University of Science and Technology (Top 1%).

💻 Experiences