Hi, I am a fourth-year undergraduate student working at the Robotics Institute under Prof. Sarath Kodagoda at the University of Technology Sydney (UTS). I spent my first two college years at Northeastern University (NEU), where I joined the HACI Lab and was advised by Dr. Changzeng Fu.
My research interests focus on deploying AI algorithms, especially Reinforcement Learning (RL), to control robots (quadruped/humanoid) and autonomous systems. I am still expanding my horizons and exploring new areas in this field.
In my spare time, I’m passionate about developing AI applications for health and wellness. I collaborate with Ziyi Zhao (Ph.D. student at UTS) on web-based AI health platforms, including Palm Stream and Skinova, which leverage AI technology to help people live healthier lives through smart skincare analysis and personalized health solutions.
I am currently looking for Ph.D. positions starting Fall 2026. You can check my CV here: 📄 CV
🔥 News
- 2025.02: 🎉🎉 The 1st MPDD Challenge: Multimodal Personality-aware Depression Detection, ACM MM 2025, was successfully held! 🌐 Website
- 2025.12: 🎉🎉 I joined X-Lab at
AgiBot, supervised by Zhihui Peng.
🤖 Projects
Goal-Directed Navigation for Unitree Go2 in Isaac Sim Using Reinforcement Learning
Jiacheng Dong
Support: UTS Robotics Institute
- A reinforcement learning-based navigation system for the Unitree Go2 quadruped robot in Isaac Sim simulation environment, enabling autonomous goal-directed locomotion.
📝 Publications
FilterRec: An Intent-Aware Framework for Dynamic Filter Recommendation
Dingxian Wang, Jiacheng Dong, Jiaqi Deng, Jing Long, et al.
WWW 2026
- An intent-aware framework for dynamic filter recommendation systems.
PPHA: Pre-Post Hidden Alignment for Multi-Task Speech Model Distillation with Rapid Convergence
Jiacheng Dong, Changzeng Fu, Jiadong Wang
ICASSP 2026 (Under Review)
- A novel knowledge distillation framework for multi-task speech models that achieves rapid convergence through pre-post hidden state alignment.
The First MPDD Challenge: Multimodal Personality-aware Depression Detection
Changzeng Fu, Zelin Fu, Xinhe Kuang, Jiacheng Dong, et al.
ACM MM 2025
- The first multimodal challenge on personality-aware depression detection, featuring datasets from both elderly clinical patients and young university students.
A Vine-inspired Solution for Enhancing Safety and Efficiency in Broadband Cable Installation
Nathan Rees, Sarath Kodagoda, Karthick Thiyagarajan, Sangmim Song, Yara Fakoua, Damian Sue, Chloe Judson, Jack Hibbard, Jackson Russell, Jiacheng Dong, et al.
ACRA 2025 (Australasian Conference on Robotics and Automation)
- A vine-inspired robotic solution for safer and more efficient broadband cable installation.
🎖 Honors and Awards
- 2025 Dean’s List – University of Technology Sydney (UTS)
- 2024 National Third Prize – 23rd National RoboMaster Super Combat Competition
- 2023-2024 First Prize, Full Scholarship – HACI Lab, Northeastern University
📖 Educations
- 2024.08 - Present, B.S. in Software Engineering with Honours, University of Technology Sydney (UTS), Australia
GPA: 90.3/100 - 2022.09 - 2024.06, B.S. in Computer Science, Northeastern University (NEU), China
GPA: 88.1/100
💻 Internships
- 2025.12 - 2026.06, Reinforcement Learning Motion Control Engineer, Shanghai AgiBot Innovation Technology Co., Ltd., China
Department: X-Lab (Full-Time) - 2025.08 - 2025.12, Front-end Engineer, Qin Xun Zhixin Technology (Zhejiang) Co., Ltd., China
Department: Web Application Development (Casual) - 2025.03 - 2026.03, Full-Stack Engineer, Cloud Xidong Big Data Technology (Qinhuangdao) Co., Ltd., China
Department: Web Application Development (Casual)
🌐 Web Development
-
Palm Stream - AI-powered health and longevity technology platform
Collaborator: Ziyi Zhao (Ph.D. @ UTS)
A startup focused on leveraging AI technologies for health monitoring and wellness optimization. -
Skinova - Smart skincare ecosystem with AI-driven analysis
Collaborator: Ziyi Zhao (Ph.D. @ UTS)
An integrated platform combining AI skin analysis, personalized skincare guidance, and professional medical aesthetic solutions through hardware-software integration and content-driven innovation.