CV

Education, research, teaching, publication, awards, and technical skills.

Contact Information

Name Weiping Yan
Email yan00944@umn.edu
vipinapple986@gmail.com
Website https://appleweiping.github.io/
Public Profiles github.com/appleweiping · LinkedIn · Google Scholar

Education

  • 2026 - Present

    Minneapolis, MN

    University of Minnesota, Twin Cities
    Electrical Engineering and Computer Science, College of Science and Engineering
  • 2024 - 2026

    Delft & Eindhoven, NL

    Delft University of Technology and Eindhoven University of Technology
    Concurrent study in Computer Science & Engineering, Electrical Engineering, Applied Physics
  • 2021 - 2024

    Hangzhou & Shanghai

    Hangzhou Normal University Affiliated High School · Shanghai Foreign Language School
    High school, science and engineering

Experience

  • 2026 - 2026

    Ningbo, China

    Research Intern, LLM for Electronic Design Automation (EDA)
    Eastern Institute of Technology, Ningbo
    • Designed and built an independent LLM-for-EDA project on circuit understanding and AI-assisted design, from problem formulation and data preparation to LLM-based processing and output evaluation.
    • Curated, annotated, cleaned, and quality-checked circuit-design data for the group’s LLM-for-EDA research, and prepared structured datasets for model development and evaluation.
  • 2026 - 2026

    Minneapolis, MN

    NLP Research Intern
    Minnesota NLP Group, University of Minnesota
    • Built a pipeline for detecting computer-use agents from privacy-preserving browser traces, combining controlled agent runs, reproduction of published detectors, and a tested consent-first Chrome extension recorder.
    • Wrote the Python CLI that validates traces, extracts 23 behavioral features, and runs leave-one-task-out evaluation; 5 PRs merged into the lab repository.
  • 2026 - Present

    Minneapolis, MN

    Co-Founder
    Veylora Labs
    • Building executive-intelligence systems that find patterns across an organization’s reports and data and turn them into clear, actionable signals for decision makers.
  • 2026 - 2026

    Shenzhen, China

    Research Assistant
    The Chinese University of Hong Kong
    • Researched uncertainty-aware LLMs for generative recommendation; built Qwen3-8B/LoRA pipelines for confidence calibration, candidate reranking, and selective recommendation on multi-domain Amazon benchmarks.
  • 2025 - 2025

    Eindhoven, NL

    Teaching Assistant, Calculus and Logic & Set Theory
    Eindhoven University of Technology
    • Led tutorial sessions on limits, derivatives, integrals, formal reasoning, and set operations, and gave structured feedback on students’ mathematical reasoning.
  • 2025 - 2025

    Shanghai, China

    Research Assistant
    Zhangjiang Laboratory
    • Studied and documented the IC design flow and EDA toolchain, from schematic design and pre-layout simulation to DRC/LVS sign-off and an MPW tape-out workflow overview.
  • 2024 - Present

    Remote

    Independent Developer, Computer Science Projects
    Self-directed study with MIT OpenCourseWare and other open courses
    • Implemented Raft and sharded key-value services in Go, xv6 kernel extensions (copy-on-write, mmap), a TCP/IP stack in C++, BusTub database components (hashing, operators, MVCC), and the Needle autodiff and tensor framework (non-credit).
  • 2023 - 2024

    Beijing, China

    Student Researcher
    Remote project supervised by Prof. Soummya Kar (Carnegie Mellon University) and Assoc. Prof. Qiang Gao (Southeast University)
    • Built a Python analysis and visualization pipeline on PM2.5 exposure and respiratory-disease incidence using synthetic data; published in Theoretical and Natural Science.

Publications

  • 2026
    TempoRAC: Identity-Indexed Local Tempo Routing for Multi-Person Repetitive Action Counting

    Weiping Yan*, Jiayu Zhu*, Xu Yan*. Submitted to ICASSP 2027, under review (equal contribution).

  • 2026
    VCH-SegFormer for Street-View Vegetation Mapping and Assessing the Associations Between Urban Vegetation and PM2.5

    Xiaoyan Fei, Weiping Yan, Qi Zhu, Xu Yan, Zherong Wu. Submitted to IEEE Transactions on Geoscience and Remote Sensing, under review.

  • 2026
    RACER-T: Temporal Density Modeling for Pose-Based Repetitive Action Counting

    Shuoran Wang, Weiping Yan, Xiang Wang. Submitted to Signal, Image and Video Processing, under review; In Review preprint on Research Square.

  • 2026
    OAM-GA: Reliability-Guided Motion Completion for Occlusion-RobustGaussian Avatars

    Xiang Wang, Xu Yan, Letian Pei, Weiping Yan. Submitted to DAI 2026, under review.

  • 2023
    Effect of PM2.5 air pollution on the incidence of respiratory diseases: A Python-based data analysis

    Weiping Yan. Theoretical and Natural Science 8(1), 70–75. doi:10.54254/2753-8818/8/20240361

Open-Source Contributions

  • 20 pull requests merged into 12 projects maintained by others (Aug–Oct 2026). Chip design: OpenRAM, CharLib, HighTide, COmPOSER, ALIGN. Power systems: Power Grid Model, power-grid-model-io. Search and recommendation: PISA, Pyserini, LensKit. Speech and NLP: M*, clulab processors.

Honors and Awards

  • National First Prize, Science and Innovation Cup Mathematical Modeling Competition, knowledge track (Dec 2025)
  • First Prize, National College Student Mathematics Ability Challenge (Dec 2025)
  • First Prize, CTSS College Student Innovation and Entrepreneurship Competition (Jul 2025)

Certifications

  • Deep Learning Specialization, DeepLearning.AI (Oct 2026): five courses, from Neural Networks and Deep Learning to Convolutional Neural Networks and Sequence Models

Technical Skills

Languages: Python, C, C++, Java, Rust, TypeScript/JavaScript, MATLAB, Verilog
Tools: Git, NumPy, pandas, Matplotlib, PyTorch, ngspice, LTspice, Origin, Linux
Spoken: Mandarin Chinese (native), English (C1)