CV

Education

• M.S. in Intelligent Information Systems, Language Technologies Institute, Carnegie Mellon University Expected Dec. 2019
• B.S. in Information Management and Information System, Wuhan University Sept. 2014 - June 2018
• Exchange Student, School of Computer Science, University of California, Los Angeles July 2017 - Sept. 2017

Experience

Deep Learning Intern

• Intel Software and Services Group (SSG)
• Shanghai, China May 2018 - July 2018
  • Contributed to the release of Analytics-Zoo 0.1.0 and 0.2.0 by building deep learning applications including image classification, text classification, fraud detection
  • Developed a Scala utility package for pre-processing natural language data and built a web service application for text classification using deep learning inference model (CNN, LSTM, etc.)
  • Built model application for image classification task on dogs-vs-cats dataset by fine-tuning Inception-V1 model, which improved accuracy from 90% to 99.2% after transfer learning
  • Refactored high-level APIs to speed up development for multi-threaded tasks, such as inference with pre-trained models

Research Intern

• Scalable Analytics Institute, University of California, Los Angeles
• Los Angeles, CA July 2017 - Sept. 2017
  • Performed independent research on entity representation learning for the development of a medical case report query system, supervised by Prof. Yizhou Sun and Prof. Wei Wang
  • Constructed graphs for annotated domain-specific entities in clinical case reports and implemented an unsupervised graph embedding method with node2vec for the graph representation of case reports
  • Visualized result by projecting the 128-dimensional embedding of 2491 entities into 3D space using PCA
  • Evaluated result by calculating cosine similarity between medical terms and corresponding abbreviations, which outperformed Google’s word2vec pre-trained word embedding

Skills

• Programming Languages: Java, C/C++, Python, SQL, Scala, R, Shell
• Tools and Framework: Spark, Hadoop, Keras, Caffe, TensorFlow, NumPy, BigDL, Analytics Zoo, NLTK, Maven MySQL, Spring Boot, Jenkins, Lucene

Publications & Presentations

• Xue Xia, Yichao Zhou, Yizhou Sun. Entity Embedding in Medical Text Data. In UCLA CSST, 2017. (Poster)
• Yiming Zhao, Jin Zhang, Xue Xia, Taowen Le. Evaluation of Google Question-Answering Quality. Library Hi Tech, 2018
• Yiming Zhao, Feicheng Ma, Xue Xia. Evaluating the Coverage of Entities in Knowledge Graphs Behind General Web Search Engines. In The sixth North American Symposium on Knowledge Organization, Champaign, IL, 2017. (Poster)
• Yiming Zhao, Afeng Wang, Xue Xia, Xiangyun Si. Risk Identification of Public Companies Based on Term Cohesion and Topic Visualization. WHICEB 2017 Proceedings, 18, 2017.

Awards & Honors

• UCLA Cross-disciplinary Scholars in Science and Technology (CSST) Scholarship (7k USD) 2017
• WHU Undergraduate Student Exchange Scholarship (15k CNY) 2017
• China National Scholarship (top 5%) 2016