CV

Educational Background

NYU Tandon School of Engineering

Major: Computer Science
Expected Degree: Master of Engineering
Duration: 09/2024—present
Core Modules: Web Search Engines, Software Engineering, Artificial Intelligence

Faculty of Information Technology, Beijing University of Technology (BJUT)

Major: Information Security
Degree: Bachelor of Engineering
Duration: 09/2020—07/2024
GPA: 3.60/4.00
Core Modules: Network Protocol Analysis and Design, Object-Oriented Programming, Information Theory and Coding, Computer Networks, Principles of Computer Organization

Beijing No. 8 High School

Duration: 09/2017—06/2020

• Enrolled in the 11th Beijing AoXiang (Soaring) Program
• Awarded Excellent Member of AoXiang Program (2018)
• Second Prize in Beijing Teenagers’ Scientific and Technological Competition
• Second Prize in Jinpeng Science and Technology Forum, Beijing

Learning and Wroking Experiences

• Computer Science and Engineering, NYU Tandon (09/2024—present)
• Prouduct development department back-end group, Qingteng (03/2024—07/2024)
• Data Mining & Security (DMS) Lab, BJUT (09/2022—present)
• Beijing Key Laboratory of Clinical Epidemiology, Capital Medical University (09/2021—08/2024)
• Capital Health Management and Policy Research Base (09/2012—09/2022)
• Biomedical Program, Faculty of Environment and Life, BJUT (04/2021—09/2021)
• CHCN-BTH Research Group, Capital Medical University (07/2020—12/2020)

Honors & Awards

• Second Prize (university level), 5th “BJUT Cup” Innovation and Entrepreneurship Competition (07/2022)
• Second Prize (Beijing municipal level), 5th BJUT iCAN Competition (07/2022)

Internship & Research Experiences

Web Search Engineering, New York, United States

Researcher & Full-stack engineer
Duration: September 2024 - present

• Researched Web search and Information Retrieval (IR) methods, focusing on improving search efficiency and relevance.
• Developed a web crawler to index content, ensuring up-to-date and comprehensive data collection for better search results.
• Designed and implemented a Retrieval-Augmented Generation (RAG) system.
• Worked on both front-end and back-end components, gaining practical experience in full-stack development.

Software Engineering, New York, United States

Researcher & Full-stack engineer
Duration: September 2024 - present

• Researched deep fake detection and generation, focusing on advancements in AI-based media synthesis.
• Designed and developed a deep fake detection website with user-friendly interfaces.
• Used AWS Elastic Beanstalk services to deploy and manage the website, ensuring scalability and reliability.
• Collaborated with teammates using tools like Jira to plan sprints and execute Scrum, learning team collaboration workflows.

AI Algorithm Engineer, Product Development Department Back-end Group, Qingteng, Beijing, China

Duration: March 2024 - July 2024

• Researched and developed LLM Transformer models and Retrieval Augmented Generation (RAG).
• Key contributor in completing the RAG component for LLM, utilizing Milvus vector database, MongoDB.
• Optimized bge-m3 hybrid search, implemented advanced embedding and re-ranking methods.
• Gained practical experience in Git-Lab collaboration, managing version control, code reviews, and workflow optimization.

Data Mining & Security (DMS) Lab, BJUT, Beijing, China

Researcher & 1st Author
Duration: September 2022 - July 2024

• Conducted research on federated learning and multi-view multi-label machine learning.
• Acquired skills in literature review and academic writing, learned various mathematical optimization methods and testing methods, and became proficient in using Python, Matlab, Latex.
• Proposed FMVML method and validated its performance through experiments.
• Wrote papers and helped apply for patents.

Realization of Algorithm for Traveling Salesmen Based on Baidu Map API, Beijing, China

Web Designer & Full-stack engineer
Duration: September 2022 - December 2022

• Developed an advanced traveling salesman algorithm for route optimization, ensuring the system could efficiently calculate the shortest path for multi-point navigation, saving time and resources.
• Used front-end technologies like CSS, HTML, JavaScript to implement the navigation system on a global map using Baidu Map API.

Researcher & 1st Author, Beijing National Science Foundation

Project: Research on Organizational Capacity of Public Hospitals and Impact Mechanism of Their Maturity on Hospital Efficiency (Project No. 9222004)
Duration: September 2021 - September 2022

• Applied bibliometric software like Citespace and NoteExpress to conduct analysis.
• Authored the paper “Visualized Quantitative Analysis of Hot Research Topics about Medical Information Security in China in the Internet Age”.

Participant, Beijing Key Laboratory of Clinical Epidemiology, CCMU, Beijing, China

Duration: September 2021 - present

• Conducted multi-omics data integration methods based on machine learning.
• Contributed to academic literature and mastered R software for prediction model construction.

Project Leader, Complicated Page Analysis Based on Machine Learning, BJUT Spark Program, Beijing, China

Duration: September 2020 - December 2021

• Led a team for page analysis research and wrote the final research report.

Participant, National Natural Science Foundation, Beijing, China

Project: Research on Remote Monitoring System for Families with Elders Based on the Internet of Things and Cloud Computing Platform (Project No. 71661167001)
Duration: April 2021 - September 2021

• Developed interaction parts for the back-end web platform using JavaScript.

Leader & Researcher, CHCN-BTH Research Group, National Key Research and Development Plan, Beijing, China

Project: A Cohort Study of Natural Population with Chronic Diseases in Living Communities of the Beijing-Tianjin-Hebei Region (Project No. 2016YFC0900603)
Duration: July 2020 - December 2020

• Assisted in recruiting more than 100 volunteers and organizing biological specimen repositories.

Publications

Federated Multi-view Multi-Label Classification

Meng, H., Lyu, G., Feng, S., Wang, Y., & Yang, Z. (2023). “Federated Multi-view Multi-Label Classification.” IEEE Transactions on Big Data. (Major revision)

Susceptibility Genes Identification and Risk Evaluation Model Construction by Transcriptome-wide Association Analysis for Salt Sensitivity of Blood Pressure: The EpiSS Study

Qi H, Xie YY, Yang XJ, Xia J, Liu K, Zhang FX, Peng WJ, Wen FY, Li BX, Zhang BW, Yao XY, Li BY, Meng HD, Shi ZM, Wang Y, Zhang L. Susceptibility gene identification and risk evaluation model construction by transcriptome-wide association analysis for salt sensitivity of blood pressure. BMC Genomics. 2024 Jun 18;25(1):612. doi: 10.1186/s12864-024-10409-9

Visualized Quantitative Analysis of Hot Research Topics about Medical Information Security in China in the Internet Age

Meng, H., & Meng, K. (2023). “Visualized Quantitative Analysis of Hot Research Topics about Medical Information Security in China in the Internet Age.” Chinese Hospital Management. (Under review)

Progress in the Application of Multi-omics Big Data Analysis in the Study of Hypertension

Qi, H., Yang, X., Wen, F., Meng, H., & Zhang, L. (2023). “Progress in the Application of Multi-omics Big Data Analysis in the Study of Hypertension.” Chinese Journal of Cardiology. (To be published)

Key Methods of Multi-modal Information Fusion Based on Data Privacy Protection

Lyu, G., & Meng, H. (2023). “Key Methods of Multi-modal Information Fusion Based on Data Privacy Protection.” National Intellectual Property Administration, Patent for invention. Application number: 2023111952962. (To be accepted)

Research on Status Quo and Effectiveness Evaluation of the Family-School Interaction Models Adopted by a Middle School in Beijing

Meng, H., Yu, F., Liu, H., Yan, C., & Zhang, L. (2017). “Research on Status Quo and Effectiveness Evaluation of the Family-School Interaction Models Adopted by a Middle School in Beijing.” Education for Chinese After-school (Theory), 594(12), 1-2+10. DOI:10.3969/j.issn.1004-8502.2017.04.001.

Skills & Hobbies

• Programming Languages: Java, C/C++, JavaScript, HTML, Node.js, TypeScript, Python, R, Matlab, CSS
• Software Packages: SPSS, Excel, Citespace, NoteExpress, Photoshop, Wireshark, Docker
• Languages: English (Toefl 102, GRE 332)
• Hobbies: Photography, Driving, Public Speaking, Swimming, Badminton, Football