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Personal Information

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Name: Jiabao SHENG

Position: Research Assistant

Email: jiabao.sheng@polyu.edu.hk

Address: PQ504, Mong Man Wai Building

Research Interest: Nature Language Processing and Knowledge Graph

Education

Xinjiang University (2018-2021)

Master of Software Engineering

Xinjiang University (2018-2021)

Bachelor of Software Engineering

SKILLS

Deep Leaning

Familiar deep learning basic theories and models including LSTM, Transfomer, BERT, Seq2Seq, etc.

Machine Learning

Familiar with basic statistical machine learning theories and algorithms.

Coding

Familiar with Java, Python, Web, and Neo4j database, have enterprise- level project development experience.

Languages

Strong reading, writing and written several SCI and EI papers

PROFESSIONAL SERVICES

IEEE Access Reviewer

RESEARCH PUBLICATIONS

Journal Articles

  1. Sheng, Jiabao, Wumaier, A., & Li, Z. (2020). Poise: Efficient cross-domain chinese named entity recognization via transfer learning. Symmetry, 12(10), 1673.
  2. Ke, Z., Sheng, Jiabao, Li, Z., Wushour, S., & Guo, Q. (2021). Knowledge-guided sentiment analysis via learning from natural language explanations. IEEE Access, 9, 3570–3578.
  3. Li, Z., Li, X., Sheng, Jiabao, & Slamu, W. (2020). Agglutifit: Efficient low-resource agglutinative language model fine-tuning. IEEE Access, 8, 148489–148499.
  4. Li, Z., Maimaiti, M., Sheng, Jiabao, Ke, Z., Silamu, W., Wang, Q., & Li, X. (2020). An empirical study on deep neural network models for Chinese dialogue generation. Symmetry,12(11), 1756.
  5. Ke, Z., Li, Z., Zhou, C., Sheng, Jiabao, Wushour, S., & Guo, Q. (2020). Rumor detection on social media via fused semantic information and a propagation heterogeneous graph. Symmetry, 12(11), 1806.

Conference proceedings

  1. Li, X., Li, Z., Sheng, Jiabao, & Slamu, W. (2020). Low-resource text classification via cross- lingual language model fine-tuning, In China national conference on Chinese computational linguistics. Springer.
  2. Qing, Y., Li, Z., Sheng, Jiabao, Jing, S., & Wushour, S. (2020). Yuq: A chinese-uyghur medical- domain neural machine translation dataset towards knowledge-driven, In China conference on machine translation. Springer.

PROJECT EXPERIENCE

Question and Answer System of Xinjiang Tourism over Knowledge Graph

This project aims at Xinjiang tourism, extracts knowledge triple from the Xinjiang tourism knowledge base we built, and constructs the knowledge graph. Then to identify the entities in the question, generate sentence vectors, and match the most similar question templates. According to the semantics of the templates and the entities in the question, the answers are retrieved in the knowledge graph.

Social Web Intelligence Analysis and User Identification Technology

The project mainly includes Social Web malicious user identification and location technology with given semantics, a portrait of multi- source Social Web platform users.

Cross-lingual Multimodal Social Media Analysis

An Internet social web analysis system for minority languages over natural language processing, statistical machine learning, and cross- modal analysis technology.

MISCELLANEOUS EXPERIENCE

Awards and Achievements

Awarded the Top 100 team (2019.11)

Awarded by Youth Technology Center of China Association for Science and Technology; Organizing Committee of China Graduate Artificial Intelligence Innovation Competition; Zhejiang university. In “Intel Cup” the first China Graduate Student ARTIFICIAL intelligence Innovation Competition.

Awarded the third prize (2019.09)

Awarded by National College English Contest Organizing Committee; Xinjiang Uygur Autonomous Region College Foreign Language Teaching Research Association. In 2019 National English Competition for College Students

Awarded the second prize (2019.05)

Awarded by Organizing Committee of Chinese College Students’ Service Outsourcing Innovation and Entrepreneurship Competition. In the 10th Chinese College Students’ Service Outsourcing Innovation and Entrepreneurship Competition.

Awarded Municipal first Prize (2018.08)

Awarded by the People’s Government of xinjiang Uygur Autonomous Region. In youth Creative Competition-Final.

Awarded the third prize (2018.07)

Awarded by the People’s Government of xinjiang Uygur Autonomous Region. In China Chuangyi innovation and Entrepreneurship Competition.

Awarded the third prize (2018.05)

Awarded by Chinese Information Center, Ministry of Industry and Information Technology; Xiamen Media Group. In 2018 “create customer China” Internet plus big data innovation and Entrepreneurship Competition.

Certification

Certified course-completion certificate (2019)

Awarded by Intel China Ltd. I have participated in the artificial intelligence Training camp for 2019 college students hosted by Intel (China) Limited.

Certified competiton prize (2019)

Awarded by Chinese Optimal Selection Law and Economic Mathematics Research Association. In the 9th MathorCup College Mathematical Modeling Challenge in 2019.