Dr. Mieradilijiang Maimaiti is a Reseasrch Assistant of the Laboratory of Multilingual Information Technology in Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences. Before that, he worked as Senior Algorithm Engineer for Natural Language Processing (NLP) at the Language Technology Lab in ALIBABA DAMO ACADEMY. Previously, Mieradilijiang received his Ph.D. from the Department of Computer Science at Tsinghua University (THU) under the supervision of Prof. Maosong Sun and is also co-advised by Prof. Yang Liu in the THUNLP Lab. His work is in NLP, machine translation (MT), and machine learning (ML). Mieradilijiang is engaged in some work related to MT since September 2016. He is working on neural machine translation (NMT) between low-resource languages (LRLs) and morphologically rich languages (MRLs), including some minority languages. He also studied the domain adaptation problem for NMT and explored transfer learning (TL) and data augmentation (DA) for LRLs in NMT. At the same time, he focused on morphological analysis in agglutinated and inflected languages.

Before joining THUNLP Lab, he obtained his master’s and bachelor’s degrees from the School of Information Science and Engineering at Xinjiang University (XJU), majoring in software engineering and computer science, respectively. During his master’s degree, he worked on computational morphology, speech recognition, speech synthesis, and morphological analysis under the guidance of an academician Prof. Wushouer Silamu. During his undergraduate studies, he developed several desktop applications, such as educational software, medical applications, several network applications (corporate and official government websites), and some valuable APPs for Android and Windows Phone (WP). Therefore, Mieradilijiang gained some experience in software development for desktop, network, and smart mobile devices before his Ph.D.

In addition, he is very interested in solving some NLP problems using ML and DL. Currently, he is also still exploring some interesting methods for natural language generation (NLG) (e.g., MT or machine writing) and natural language understanding (NLU) (e.g., reasoning or semantic retrieval).

Nothing is impossible!

Research Interests

Mieradilijiang has a broad research interest in language technology:

  • Natural Language Processing
    • Machine Translation
      • Low-Resource Languages Scenario
      • Data Augmentation
      • Transfer Learning
      • Domain Adaptation
      • Prior-Knowledge
    • Morphological Analysis & Word Segmentation
    • Semantic Representation: Sentence Retrieval / Knowledge Retrieval
    • Sentiment Classification: Few-Shot Learning & Zero-Shot Learning
    • Multilingual Processing
  • Pre-trained Models (PTMs) & Big Models
  • Information Retrieval
    • Cross-Language Information Retrieval
  • Machine Learning for NLP
  • NLP Applications


08/13/2022 CIKM2022 One paper has been accepted by CIKM2022.
06/10/2022 Poster Presentation We have uploaded our poster presentation for NAACL2022.
04/10/2022 NAACL2022 One paper has been accepted by NAACL2022.
11/08/2021 Oral Presentation We have uploaded our oral presentation for EMNLP2021.
08/26/2021 EMNLP2021 Our two research works have been accepted by EMNLP2021.
05/24/2021 Finally I also did it! I have also accomplished my Phd Defense!.