Yicheng Tao 陶毅诚

Shenzhen, China · (86) 137-7183-7710 · eric.taoyicheng@gmail.com

I'm an incoming master's student at LTI, School of Computer Science, Carnegie Mellon University, and will graduate with a Bachelor's degree from SUSTech (Shenzhen, China).
My research focuses on large language models and spatio-temporal data analysis, with additional interests in public governance (smart cities), software engineering (AI for code), and financial applications of LLMs.

Research

Enhancing LLMs for Mobility Analytics with Semantic Location Tokenization

Collaborating with Nanyang Technological University. Accepted: SIGKDD 2025

Enabling LLMs to understand semantics of mobility records, and enhancing the performance of mobility analytics.

Sep 2024 - Apr 2025

PlanGPT (Link)

Collaborating with Peking University. Ver1.5 Accepted: ACL 2025 Industry (Oral)

Assisting Urban Planning by developing a tailored language model and efficient data retrieval system.

Feb 2024 - Mar 2024

FANNO (Arxiv)

Accepted: ACL 2025 Findings

Developed an open-source framework that automates and optimizes the instruction annotation process, significantly improving instruction quality and diversity.

Mar 2024 - Sep 2024

LLM enhanced Causality-aware Traffic Accidents Post-effects Prediction

Collaborating with University of Tokyo. Submitted to IEEE T-ITS.

Designed a unified dataset alignment framework integrating multiple data sources while preserving road network directionality, enabling causal modeling.

Aug 2024 - Apr 2025
* Above is a selection of my research projects. For a complete list, please refer to my resume.

Working Experience

Gaorong Capital (Link)

LLM Research Intern

Built company research agents integrating multiple MCP tools and RAG pipelines.

Shenzhen, China Mar 2025 - Jun 2025

LocationMind Inc. (Link)

Research Fellow

Conduct research on spatial-temporal urban analysis combined with LLM.

Tokyo, Japan & Remote Jul 2024 - Present

Behavioral and Spatial AI Lab, Peking University

Research Assistant

Assisting in the development of the nation's first urban planning large language model and conducting experiments.

Shenzhen, China Feb 2024 - Mar 2024

SuGaoxin Digital Technology Co., Ltd. (Link)

Java Backend Intern

Developed middleware for efficient management of Modbus, BACnet, and Honeywell edge devices.

Suzhou, China Aug 2023

Education

Carnegie Mellon University

Language Technologies Institute, School of Computer Science
Master of Science in Intelligent Information Systems (MIIS)
August 2025 - June 2027

Southern University of Science and Technology

Dept. of Computer Science and Engineering
Bachelor of Engineering in Computer Science and Technology
GPA: 3.79/4.00 (91.35/100) Graduate with Honour
Rank: 18% (Rank in Junior year: 8/195)
Advisor: Xuan Song(Research), Yepang Liu(Thesis)
September 2021 - June 2025

Skills

Programming Languages & Tools
    • C++ Icon
LLM-related
  • Supervised Finetuining(SFT, LoRA)
  • Agentic Workflows
  • Retrieval-Augmented Generation(RAG)
  • Prompt Engineering
  • Reinforcement Learning
Data Science-related
  • Pytorch, Tensorflow, Scikit-learn, Pandas, Numpy, Matplotlib
Full Stack
  • Experienced in both front-end and back-end development.
  • Successfully completed full-score projects such as "Chess Game," "Course Project Management System," "SUSTech Event Center," and "StackOverflow Visualization," all selected to be showcased in class.

Languages

Mandarin [Native]

English [Fluent] - TOEFL 106, CET6 632, GRE 322+3.5

Japanese [Elementary]

Awards & Certifications

  • 1 st Class - SUSTech Merit Student Scholarship - 2024
  • SUSTech Merit Student Scholarship - 2023, 2022
  • SUSTech Outstanding Student Award - 2024, 2023
  • 3 rd Place - Guangdong Contemporary Undergraduate Mathematical Contest in Modeling - 2023
  • MIT Blended Learning winter online course - 01/2023
    Base SPOC: Machine Learning, Modeling, and Simulation Principles, focusing on mathematics and knowledge in ML.
  • NUS SoC summer workshop - 07/2023
    SWS3009 Robotics & Deep Learning, completed tasks including cat classification (using YOLOv5, MobileNet), and video action recognition with MediaPipe and LSTM model.
  • NTU visiting research - 09/2024
    Conduct research on spatial-temporal urban analysis combined with LLM. Supervised by Cong Gao, Yile Chen.

Services

Community: Actively engaged in volunteer work, accumulating 64 hours of service to date.

Campus: Served as the Director of the Design Division of the College Propaganda Center from 2022 to 2023, and as a member of the WeChat Department in the school's student news agency.

Activity: Participated as a committee member in the ”Innovation and Entrepreneurship Day Training Camp” organized by the Employment Guidance Center at SUSTech and was recognized as an outstanding participant.