👋 About Me
Yi Jie Wong (Graduate Student Member, IEEE) received the B.Eng. degree (Hons.) in biomedical engineering from the Universiti Tunku Abdul Rahman, Sungai Long, Malaysia, in 2022, where he is currently pursuing the Ph.D. degree in digital technology with specialization of reinforcement learning and federated learning. His research interests include deep learning/deep reinforcement learning in the field of computer vision, federated learning, Internet of Things (IoT) and wireless communications. As a graduate research assistant, he participated in two international projects (ASEAN IVO and British Council), and a local industry grant. He also conducted a 3-month research stay at Université Sorbonne Paris Nord, supported by the 2023 Doctoral Research Mobility Grant from the Embassy of France to Malaysia. He was also awarded best paper presentation in IEEE UEMCON 2021 Session 13, New York, USA. He was also one of the Top 10 Global Semi-Finalists of the 2024 EY Open Science Data Challenge, and the Champion of IEEE Big Data Cup 2024 Building Extraction Generalization Challenge.
My latest CV can be found at this Google Doc.
🔍Research Topics
I am excited about the practical application of AI techniques and models to solve real-world problems. Hence, most of my work is in Applied AI, where I focus on solving problems rather than developing fancy models. Based on my experience in competitions and research consultancy projects, feature engineering and data understanding are crucial for building a solid baseline before moving on to more advanced models.
- Generative AI: Diffusion Models, Diffusion Augmentation, etc.
- Computer Vision: Object Detection/Instance Segmentation, etc.
- 3D Computer Vision: Point Cloud Detection, etc.
- Reinforcement Learning: System Optimization, Multi-Agent Reinforcement Learning, etc.
🔥 News
- [2025.02] Our team is Top 3 in IJCNN 2025 Drone-vs-Bird Detection Challenge
- [2024.10] Our work is accpeted by IEEE BigData 2024 (Top 6 in Data Mining & Analysis in Google Scholar metrics)
- [2024.10] Win the 1st prize in IEEE Big Data Cup 2024 Building Extraction Generalization Challenge
- [2024.10] Top 10 in IEEE Big Data Cup 2024 Optimized Road Damage Detection Challenge
- [2024.06] Our work is accepted by Elsevier Internet of Things Journal (Q1, IF=6.0)
- [2024.05] Top 10 Global Semi-Finalist of 2024 EY Open Science Data Challenge out of 10,000 registrants
- [2023.12] Our Asean IVO Project is awarded Certificate of Excellence (Top 1 out of 17 international projects)
- [2023.11] Completed my first Research Consultancy at MIMOS Bhd (Malaysia’s leading national research center)
- [2023.10] Started my 3-month Research Attachment in Universite Sorbonne Paris Nord under 2023 Doctoral Research Mobility Program
- [2023.07] Presented as Invited Speaker at London South Bank University
- [2023.03] Presented our work in IEEE WCNC 2023, which is one of the Core Conferences of IEEE ComSoc
- [2021.12] Awarded Best Paper Presentation for IEEE UEMCON 2021 Session 13
🧑🎓 Professional Experience
- 2023.07 - Now, Freelance AI Engineer, MIMOS Bhd
- 2022.07 - Now, Graduate Research Assistant, Universiti Tunku Abdul Rahman
- 2023.10 - 2023.12, Research Attachment, Universite Sorbonne Paris Nord
- 2022.10 - 2023.09, Research Member, UK-ASEAN SYRACUSE Project
- 2021.07 - 2022.12, Research Member, ASEAN-IVO Project
📖 Educations
- 2022.07 - Now, Ph.D in Digital Technology, Universiti Tunku Abdul Rahman, Supervised by Ir. Ts. Dr. Mau-Luen Tham & Dr. Ban-Hoe Kwan
- 2023.10 - 2023.12, Visiting Ph.D Students, Universite Sorbonne Paris Nord, Supervised by Prof. Anissa Mokraoui
- 2018.05 - 2022.05, BEng in Biomedical Engineering (Major in AI), Universiti Tunku Abdul Rahman, CGPA 3.76/4.00 (First Class Honours, Awarded Book Prize)
- 2017.05 - 2018.04, Foundation in Science, Universiti Tunku Abdul Rahman, CGPA 4.00/4.00 (Top 1 in Kampar Campus)
📝 Publications
My full paper list can be found at
Diffusion
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation
Yi Jie Wong, Yin-Loon Khor, Mau-Luen Tham, Ban-Hoe Kwan, Anissa Mokraoui, Yoong Choon Chang
🥇 Our solution is the Top 1 solution in the IEEE BigData Cup 2024: Building Extraction Generalization Challenge!
Object Detection
An Optimized Multi-Task Learning Model for Disaster Classification and Victim Detection in Federated Learning Environments
Yi Jie Wong, Mau-Luen Tham, Ban-Hoe Kwan, Ezra Morris Abraham Gnanamuthu, Yasunori Owada
🤩 The conference version of this paper is awarded Best Paper Presentation at IEEE UEMCON 2021, New York, USA!
🔥 This paper is part of the Best Project out of 17 International Projects funded by ASEAN IVO!
Automating Coastal Vulnerability Assessment: AI-Driven Geospatial Analysis via Building Damage Detection
Yi Jie Wong, Yin-Loon Khor, Ziwei Liu
🏅 Our solution ranked 8th among 11,000 registrants, and is one of the Top 10 teams worldwide!
Multi-Task YOLO for Vehicle Colour Recognition and Automatic License Plate Recognition
Yin-Loon Khor, Yi Jie Wong, Mau-Luen Tham, Yoong Choon Chang, Ban-Hoe Kwan, Kok-Chin Khor
Reinforcement Learning
Addressing environmental stochasticity in reconfigurable intelligent surface aided unmanned aerial vehicle networks: Multi-task deep reinforcement learning based optimization for physical layer security
Yi Jie Wong, Mau-Luen Tham, Ban-Hoe Kwan, Amjad Iqbal
🤔 Mixture-of-Experts to solve the one-shot generalization problem in UAV-RIS networks
🤩 Accepted by Elsevier Internet of Things, Q1, IF=6.0
[Paper]
Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
Mau-Luen Tham, Yi Jie Wong*, Amjad Iqbal, Nordin Bin Ramli, Yongxu Zhu, Tasos Dagiuklas (* co-first author)
🤩 2023 IEEE Wireless Communications and Networking Conference (WCNC), Core Conference of IEEE ComSoc
FedDdrl: Federated Double Deep Reinforcement Learning for Heterogeneous IoT with Adaptive Early Client Termination and Local Epoch Adjustment
Yi Jie Wong, Mau-Luen Tham, Ban-Hoe Kwan, Yasunori Owada
🔥 This paper is part of the Best Project out of 17 International Projects funded by ASEAN IVO!
[Paper]
Point Cloud Detection
Industrial 3D Object Detection for Multidimensional Quality Control
Yi Jie Wong, Wingates Voon, Yan Chai Hum
🤩 Unlike all existings scene-level augmentation technique, we designed a novel object-wise augmentation approach to mitigate the extreme class-imbalanced problem in the client dataset.
🔥 The project will be deployed in our industrial partner in semiconductor sector (based in Penang, Malaysia).
🎖 Honors and Awards
- 2023, Certificate of Excellence (Top 1 out of 17 international projects), ASEAN IVO
- 2023, Doctoral Research Mobility Grant, Campus France
- 2022, Research Scholarship Scheme, Universiti Tunku Abdul Rahman & Greatech Sdn. Bhd
- 2022, UTAR Education Fund 100% Scholarship for PhD Students, Universiti Tunku Abdul Rahman
- 2022, Book Prize, Universiti Tunku Abdul Rahman
- 2022, First Class Honours Degree, Universiti Tunku Abdul Rahman
- 2018, UTAR Education Fund 100% Scholarship for Bachelor Degree Students, Universiti Tunku Abdul Rahman
- 2017, Best Paper Presentation, IEEE UEMCON 2021
💻 Reviewer
- Elsevier Internet of Things
- Elsevier Neurocomputing
- IEEE Transactions on Artificial Intelligence (TAI)
- International Joint Conference on Neural Networks (IJCNN 2025)
- IEEE Access
💬 Invited Talks
- 2023/07, UAS and NTN towards 6G, London South Bank University 👉 [website link]
🏆 Contests
- 🥇 Champion of IEEE Big Data Cup 2024 Building Extraction Generalization Challenge, and received a USD 1000 prize 👉 [challenge link] & [project link]
- 🎖️ Top 10 in IEEE Big Data Cup 2024 Optimized Road Damage Detection Challenge, and was invited for paper submission 👉 [challenge link]
- 🎖️ Top 10 Global Semi-Finalist of 2024 EY Open Science Data Challenge 👉 [challenge link] & [project_link]
- 🌟 Global Finalist of 2022 Rohde & Schwarz Engineering Competition 👉 [challenge link] & [project_link]