Bio

I am now a first-year Ph.D. student in computer science at the University of California, Santa Cruz (UCSC), under the supervision of Prof. Snigdha Chaturvedi. My research interests include natural language processing and machine learning. I am especially interested in interpretable neural architectures for sentence representation.

I received my master degree in Computer Technology from the School of Computer and Technology, Harbin Institute of Technology (HIT), under the supervision of Prof. Yi Guan. I got my Bachelor's degree in Flight Vehicle Design and Engineering from School of Astronautics, HIT in 2016.

Education

M.Sc., Harbin Institute of Technology, Harbin, China September 2016 - July 2018
  • Major: Computer Technology
  • Final year project: Chinese-text-oriented medical knowledge acquisition, representation, and reasoning.

B.E., Harbin Institute of Technology, Harbin, China September 2012 - June 2016
  • Major: Flight Vehicle Design and Engineering
  • Final year project: Syntactic representation and 3D pose information retrieval of space target image

Publications

[Google Scholar]

Chao Zhao, Jingchi Jiang, Yi Guan, Xitong Guo and Bin He. EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. In Artificial Intelligence in Medicine, 87 (2018): 49-59.

Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, and Qiubin Yu. Max-Margin Weight Learning for Medical Knowledge Network. In Computer Methods and Programs in Biomedicine, 156 (2018): 179-190.

Chao Zhao, Min Zhao, and Yi Guan. Constructing a Hierarchical User Interest Structure based on User Profiles. In 2017 IEEE 17th International Conference on Data Mining Workshops (ICDMW). pages 156–162, Nov 2017.

Zhipeng Jiang*, Chao Zhao*, Bin He, Yi Guan, and Jingchi Jiang. De-identification of medical records using conditional random fields and long short-term memory networks. In Journal of Biomedical Informatics, S75 (2017): S43-S53, co-first author

Jingchi Jiang, Xueli Li, Chao Zhao, Yi Guan, and Qiubin Yu. Learning and inference in knowledge-based probabilistic model for medical diagnosis. In Knowledge-Based Systems, 138 (2017): 58-68.

Chao Zhao, Jingchi Jiang, Zhiming Xu, and Yi Guan. A study of EMR-based medical knowledge network and its applications. In Computer Methods and Programs in Biomedicine 143 (2017): 13-23.

Jingchi Jiang, Jichuan Zheng, Chao Zhao, Jia Su, Yi Guan, and Qiubin Yu. Clinical-decision support based on medical literature: A complex network approach. In Physica A: Statistical Mechanics and its Applications 459 (2016): 42-54.

Jingchi Jiang, Yi Guan, Jia Su, Chao Zhao, and Jinfeng Yang. HIT-WI at TREC 2015 Clinical Decision Support Track. In TREC. 2015.

Jingchi Jiang, Yi Guan, and Chao Zhao. WI-ENRE in CLEF eHealth Evaluation Lab 2015: Clinical Named Entity Recognition Based on CRF. In CLEF (Working Notes). 2015.

Employment

Intern R&D, knowledge graph group, Baidu Inc., Beijing, China Febuary 2017 - July 2017
  • The construction and applications of commonsense knowledge graph.

Teaching experience

TA for CMPS12B: Introduction to Data Structures Fall 2018

Awards

Scholarships

Prizes

Hobbies




Last Updated: Oct 10 2018