I am currently a Machine Learning Engineer at Institute of Environmental Science and Research New Zealand.

My interests includes:

1. Large Language Models – Fine-tuning, model compression, and knowledge distillation. (LLama, Qwen)
2. Time Series Forecasting – Utilizing deep learning techniques such as transformers and LSTM networks for time series prediction. I have done some works during COVID Pandamic.
3. Speech Processing – Focused on speech translation and generation.
4. Causal Inference and Discovery.
5. Image Processing – Specializing in image segmentation and classification. I have supervised some student projects for it.

My publiations:

1. Mutual-Learning Improvdes End-to-End Speech Translation. Jiawei Zhao, Wei Luo, Boxing Chen, Andrew Gilman. EMNLP2021.
2. Unsupervised Cross-Lingual Word Embedding with Kernel CCA. Jiawei Zhao, Sean Zhu, Andrew Gilman. arXiv 2021.
3. Non-Linearity in Mapping Based Cross-Lingual Word Embeddings. Jiawei Zhao, Andrew Gilman. LREC 2020.