About me

Hi 🤗~ I am a third-year Master’s student at Harbin Institute of Technology (Shenzhen), majoring in Computer Science and Technology, advised by Prof.Qing Liao. I completed my Bachelor’s degree in Harbin Institute of Technology (Weihai), majoring in Computer Science and Technology.

🤯 Research Interests

I believe that data plays an important role in all deep learning models. Hence, I would like to focus on data influence on various models and tasks. To achieve this, I am primarily interested in:

• Machine Learning, especially Multi-Task Learning and Curriculum Learning.

• Multi-modal Large Language Model Reasoning and its application to specific downstream tasks.

📝 Publications

* denotes the corresponding author.

• Adaptive Data and Task Joint Scheduling for Multi-task Learning.
  ICDE 2025
  Key Words: Multi-task Learning, Curriculum learning, Task conflicts
  Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, and Qing Liao*.

• Learning from Easy to Hard: Multi-Task Learning with Data Scheduling.
  ICASSP 2024
  Key Words: Multi-task Learning, Data Scheduling, Task conflicts
  Zeyu Liu, Heyan Chai, and Qing Liao*.

• Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
  ICDE 2024
  Key Words: Multi-task Learning, Gradient Manipulation, Task Conflicts
  Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, and Qing Liao*.

• Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning.
  CVPR 2025
  Key Words: Multi-task Learning; Prompt Learning; Causal Learning
  Chaoyang Li, Jianyang Qin, Jinhao Cui, *Zeyu Liu*, Ning Hu, and Qing Liao*.