CV

Education

• B.Eng. in Computer Science and Technology, Tsinghua University, 2021
• M.S. in Data Science and Information Technology, Tsinghua University, 2024 (expected)
• M.S. in Technology Innovation, University of Washington, 2024 (expected)

Research Experience

• Spring 2019 - Now
  • Knowledge Engineering Group, Tsinghua University
  • Supervisor: Associate Professor Bin Xu
  • Duties included:
    • Designing and implementing a remote fetal heart rate monitoring module based on interpretable machine learning models.
    • Building a semi-automated knowledge acquisition tool based on concept/entity extraction, relation extraction, and OpenIE models for construction knowledge graphs.
    • Constructing the largest heterogeneous knowledge graph (with more than 252 million entities and 3.86 billion triplets) for K-12 education in China
    • Developing a group chat strategy for several chatbots based on a tuning-free framework that exploits pre-trained language models to generate knowledge-grounded dialogues.

Work experience

• Summer 2021: Undergraduate Teaching Assistant
  • Tsinghua University
  • Preparing graded projects, homework, and off-class lectures for the course Java Programming Design and Training (335 students attended in total).
• Summer 2020: Software Development Internship
  • Tencent
  • Duties included: Developing an OLAP (online analytical processing) system for business metrics real-time analysis based on Apache Kylin, Kafka, and Hive. Skills ======
• Programming:
  • Especially skilled in Python
  • Skilled in: Java, JavaScript, HTML, CSS
  • Familiar with: Golang, VHDL, and Verilog
• Machine learning libraries & frameworks: Pytorch, Huggingface, Tensorflow, Scikit-learn, NumPy, matplotlib, seaborn
• Data management and warehousing: MySQL, SQLite, Virtuoso, Apache Jena
• Web development frameworks: Django, Flask, Java JSP Servlet, Spring, React.js
• Tools: Linux CLI, vim, git, bash, docker, MySQL, Nmap, Wireshark, burp suite, etc.
• Fabrication and prototyping (still learning): Adobe Illustrator + Rhino (for laser cutting), Blender, CAD, etc.

Publications

Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness

Kong, Y., Xu, B., Zhao, B., Qi, J. (2021). Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness. Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science(), vol 12712. Springer, Cham. https://doi.org/10.1007/978-3-030-75762-5_20

EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph

Zhao, Bowen, et al. "EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph." arXiv preprint arXiv:2210.12228 (2022).

Service and leadership

• Vice President of Students’ Football Association of Tsinghua University, 2020-2022
• President of Student Association of Dept. of CST, Tsinghua University, 2020-2021
• Vice President of Student Association for Science and Technology, Tsinghua University, 2020-2021
• Vice President of Student Association of Dept. of CST, Tsinghua University, 2019-2020
• Secretary for Science and Technology Competition of Student Association for Science and Technology, Tsinghua University, 2019-2020
• Video-making group leader of Students’ Media Center of Dept. of CST, Tsinghua University, 2019-2020

Awards and Honors

• MSTI Scholarship (Merit), Global Innovation Exchange, University of Washington

• 2021 Outstanding Graduates of Dept. of CST, Tsinghua University

• 2020 Comprehensively Excellent Student Scholarship, Tsinghua University

• 2020 Excellent Social Work Scholarship, Tsinghua University

• 2019 Excellent Student Cadre of Dept. of CST, Tsinghua University

• 2019 Excellent Sportsman Scholarship, Tsinghua University

• 2019 Academic Advancement Scholarship, Tsinghua University