Luyao Niu
Phone: +86 13869560160
Location: Shenzhen, CN
Email: luyao0160@stu.pku.edu.cn
Website: luyao0160.owlstown.net
Education
Peking University
M.S. in Urban Planning (Smart Cities and Big Data Specialization)
GPA: 3.75/4 | Sept. 2023 – Jun 2026
Key Courses:
- Frontier Theories and Methods of Smart Cities (A+)
- Geostatistical Models and Methods (A+)
Beijing Jiaotong University
B.S. in Traffic Engineering & Minor in Finance
GPA: 3.97/4 | Average Mark: 91.6 | Rank: 2/389 | Sept. 2019 – Jun 2023
Key Courses:
- Calculus (100)
- C Programming (A)
- Transportation Planning (94)
- Traffic Flow Theory (93)
Research Interests
- AI for Transportation
- Intelligent Transportation Systems
- Spatio-Temporal Traffic Pattern Analysis
Publications
Peer-Reviewed
- Niu, L., Wang, Z., et al. (2025). MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. Proceedings of IEEE GlobeCom 2025 (Oral).
- Shi, Z., Luo, S., Niu, L., et al. (2025). Joint Design of Public Transit and Autonomous Vehicle Mobility Systems for Tourist Cities Considering Abnormal Trips. Transportation Research Part C.
- Niu, L., Wang, Y., et al. (2025). Measuring Cross-Border Spatial Identity Using Social Media Big Data and Large Language Models: A Case Study of the Shenzhen–Hong Kong Region. Proceedings of AESOP 2025 (Oral).
- Niu, L., Wang, Y., et al. (2025). Evaluating the Causal Impacts on Spatial Satisfaction Sentiment of Shenzhen–Hong Kong Regional Integration Policies: An Interrupted Time Series Study Leveraging Large Language Models. Proceedings of EUGEO 2025 (Oral).
- Niu, L., Gu, J., et al. (2025). Why Public Transport Policies Work or Not? A Meta-Analysis Based on the Behaviour Change Wheel Model. Proceedings of AESOP 2025 (Oral).
Under Review
- Niu, L., Deng, Z., et al. (2025). AskNearby: An LLM-Based Application for Neighborhood Information Retrieval and Personalized Cognitive-Map Recommendations. Under Review at ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery 2025.
Working Paper
- Niu, L., Wang, Z., et al. (2025). CausalTrans: Fusing Causal Inference and Large Language Models for Event-Driven Traffic Forecasting.
- Niu, L., Xing, X., et al. (2025). Heterogeneous Route Recommendation System Based on User Preference Classification for Traffic Flow Optimization.
- Liu, C., Niu, L., et al. (2025). Travel Behavior Shifts Following Electric Vehicle Adoption: Evidence from a Big Data-Driven Quasi-Experiment.
Selected Research Experience
Causal-Enhanced Traffic Prediction Model using Event Texts
Peking University & Duke Kunshan University | Advisor: Prof. Peng Sun
May 2025 – Present
- Developing a deep learning framework to integrate textual event data for causal-aware traffic flow prediction.
- Solo research project in progress.
Traffic Prediction via Signal Decomposition and Attention-based BiLSTM
Peking University & Duke Kunshan University | Advisor: Prof. Peng Sun
Feb 2025 – May 2025
- Led the entire project pipeline, designing a dual-stream BiLSTM with signal decomposition and multi-head attention, achieving state-of-the-art performance on benchmark PeMS datasets.
- Paper accepted for presentation at IEEE GLOBECOM 2025.
Behavioral Changes from EV Adoption: A Quasi-Experimental Study
Peking University | Advisors: Dr. Chengcheng Liu & Prof. Li Wan
Jul 2024 – Present
- Conducted a quasi-experimental study to evaluate the impact of EV adoption on travel behavior using large-scale mobile signaling data.
- Co-authored manuscript in preparation for submission to Transportation Research Part D.
Synthesizing the Impact of Travel Behavior Interventions: A Meta-Analysis
Peking University | Advisor: Prof. Wenjia Zhang
Nov 2023 – Dec 2024
- Co-first author of a meta-analysis of 24 international studies to provide evidence-based policy recommendations.
- Accepted at the AESOP Annual Congress 2025; journal version in progress.
LLM Analysis of Policy Impact on Cross-Border Spatial Sentiment
Peking University | Advisor: Prof. Wenjia Zhang
Oct 2023 – Dec 2024
- Developed a novel pipeline combining LLMs with an Interrupted Time Series model to infer the causal impact of regional policies from social media data.
- Resulted in two papers accepted at international conferences.
Joint Design of SAV-Transit Systems for Tourist Cities
Beijing Jiaotong University | Advisor: Prof. Sida Luo
Jan 2023 – Oct 2023
- Proposed an integrated SAV and public transit system, achieving a 25% overall cost reduction in low-demand cities.
- Published in Transportation Research Part C: Emerging Technologies.
Travel Route Choice Preference Analysis with Phone Signaling Big Data
Beijing Jiaotong University | Advisor: Prof. Zhiyong Liu
Jan 2023 – May 2023
- Engineered a machine learning framework (SVM, XGBoost) to analyze traveler route choices from mobile signaling data, focusing on congestion impacts.
Optimized Path Planning and Traffic Flow Distribution Model
Beijing Jiaotong University | Advisor: Prof. Enjian Yao
Jun 2021 – May 2022
- Developed a traffic distribution model to mitigate navigation-induced congestion.
- Awarded First Prize at the 17th National University Student Transportation Technology Competition.
Selected Project Experience
Technical Lead, LLM Integration for Urban Planning
China Academy of Land Surveying and Planning
Apr 2025 – Present
- Architected the technical roadmap for integrating LLMs with spatial optimization models to enhance urban analysis.
- Led development and validation of LLM-Agent algorithms.
Research Assistant, Intelligent Mobility
Duke Kunshan University, Data Science Department
Jun 2025 – Present
- Contributed to spatio-temporal modeling research, resulting in a co-authored paper accepted by IEEE GLOBECOM 2025.
CEO & Co-Founder
QianmoSmartLink Company
Dec 2024 – Present
- Directed the development of the Fangyuan Wenwen Intelligent Community Platform, leveraging RAG and spatio-temporal data for Q&A and hyperlocal services.
- Secured First Prize in the Municipal Entrepreneurship Competition and Third Prize in the Baidu Entrepreneurship Challenge.
Project Contributor, China Two-Wheeler Usage Report
China Bicycle Association & Beijing Jiaotong University
Sep 2022 – Jan 2023
- Contributed to the 2022 China Two-Wheeler Usage Report, providing data-driven insights for industry and policymakers.
Extra-Curricular Activities
President, Student Union
Beijing Jiaotong University
Jun 2021 – Jun 2023
- Led Student Union operations and organized major campus events and activities.
Volunteer, Beijing 2022 Winter Olympics
National Indoor Stadium
Jan 2022 – Apr 2022
- Supported personnel management and venue operations, awarded Outstanding Volunteer.
Awards and Honors
National Level
- National Scholarship (China's highest honor for undergraduate students) – Dec 2020
- Baoshan Iron & Steel Scholarship (Top 0.01%) – Oct 2022
Municipal Level
- Beijing Bus Talent Scholarship (Top 0.2%) – Dec 2021
Campus Level
- First-Class Academic Scholarship (Top 1%) – Dec 2020
Competitions
- First Prize in China University Student Traffic and Transportation Technology Competition – Jul 2022
- Second Prize in China MathorCup Optimizing Mathematical Modeling Competition – Apr 2022
- Third Prize in China University Student Mathematics Competition – Dec 2020
Skills
- Language Proficiency: Mandarin Chinese, English (CET-4: 627, CET-6: 606; TOEFL: 101)
- Programming & Data Analysis: Python (RL, DL, LLMs, ML, Visualization), C, MATLAB, R, SQL
- Software and Tools: SPSS, GAMS, TransCAD, VISSIM, ArcGIS, CAD, LaTeX, Markdown, Git, Linux