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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
2022.07 Speaker of Participant Talk
Attachment is the Certificate of Appreciation in recognition and appreciation of your contribution as ‘Speaker of Participant Talk’ in Odyssey-CNSRC workshop 2022.!
2021.06 Master Oral Examination
After 3 years of hard working and 1 hours brain frying I have also accomplished my master oral examination!
2020.05 CAAI Award
CAAI Award
2019.08 Zhijiang Laboratory International Talent Fund
Shortlisted by Zhijiang Laboratory International Talent Fund 
Intel AI Talent International Training Program
Intel AI Talent International Training Program 
In the 10th China College Students Service Outsourcing Innovation and Entrepreneurship Competition achieved good results
In the 10th China College Students Service Outsourcing Innovation and Entrepreneurship Competition achieved good results
Reception of the research team of Xi’an Jiaotong University
Reception of the research team of Xi’an Jiaotong University 
Make a presentation for students of Xi ‘an Jiaotong University
Make a presentation for students of Xi ‘an Jiaotong University 
Interviewed by Xinjiang TV statio
Interviewed by Xinjiang TV station as a core member of the project team, demonstrated and promoted laboratory products 
publications
talks
YuQ: A Chinese-Uyghur Medical-domain Neural Machine Translation Dataset Towards Knowledge-driven
Published:
Recent advances in deep learning have been successful in delivering state-of-the-art performance in medical analysis, However, deep neural networks (DNNs) require a large amount of training data with a high-quality annotation which is not available or expensive in the field of the medical domain. The research of medical domain neural machine translation(NMT) is largely limited due to the lack of parallel sentences that consist of medical domain background knowledge annotations. To this end, we propose a Chinese Uyghur NMT knowledge-driven dataset, YuQ, which refers to ground medical domain knowledge graphs. Our corpus contains 65K parallel sentences from the medical domain and 130K utterances. By introducing medical domain glossary knowledge to the training model, we can win the challenge of low translation accuracy in Chinese-Uyghur machine translation professional terms. We provide several benchmark models. Ablation study results show that the models can be enhanced by introducing domain knowledge.
Low-Resource Text Classification via Cross-Lingual Language Model Fine-Tuning
Published:
Text classification tends to be difficult when data are inadequate considering the amount of manually labeled text corpora. For low-resource agglutinative languages including Uyghur, Kazakh, and Kyrgyz (UKK languages), in which words are manufactured via stems concatenated with several suffixes and stems are used as the representation of text content, this feature allows infinite derivatives vocabulary that leads to high uncertainty of writing forms and huge redundant features. There are major challenges of low-resource agglutinative text classification the lack of labeled data in a target domain and morphologic diversity of derivations in language structures. It is an effective solution which fine-tuning a pre-trained language model to provide meaningful and favorable-to-use feature extractors for downstream text classification tasks. To this end, we propose a low-resource agglutinative language model fine-tuning 𝐴𝑔𝑔𝑙𝑢𝑡𝑖𝐹𝑖𝑇, specifically, we build a low-noise fine-tuning dataset by morphological analysis and stem extraction, then fine-tune the cross-lingual pre-training model on this dataset. Moreover, we propose an attention-based fine-tuning strategy that better selects relevant semantic and syntactic information from the pre-trained language model and uses those features on downstream text classification tasks. We evaluate our methods on nine Uyghur, Kazakh, and Kyrgyz classification datasets, where they have significantly better performance compared with several strong baselines.
teaching
Foundations of Data Science
Postgraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Artificial Intelligence and Science Fiction
Postgraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Multimodal Human Computer Interaction Technologies
Undergraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Deep Learning and Deep Neural Networks
Undergraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Digital Image Processing
Postgraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Speech Processing and Recognition
Postgraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.
Computer Programming
Undergraduate Course, Hong Kong Polytechnic University, Department of Electronic and Information Engineering, 2024
Laboratory supervision, laboratory exercise development, conducting tutorials, marking tests/homework scripts, guiding project students, examination invigilation, etc.