Hui Bi
Biographic Data
| ID | 6580116 |
|---|---|
| NAME | Hui Bi |
| GIVEN NAMES | Hui |
| FAMILY NAME | Bi |
| SIGNATURE | BI H |
| AFFILIATIONS | Southeast University |
| ORCID | 0000-0002-6180-178X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
A Natural Language-Based Automatic Identification System Trajectory Query Approach Using Large Language Models
The trajectory data collected by an Automatic Identification System (AIS) are an essential resource for various ships, and effective filtering and querying approaches are fundamental for managing these data. Natural language has become the preferred way to express complex query requirements and intents, due to its intuitiveness and universal applicability. In light of this, we propose a natural language-based AIS trajectory query approach using l…
Mining bike sharing trip record data: A closer examination of the operating performance at station level
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
Exploring ridesourcing trip patterns by fusing multi-source data: A big data approach
Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data
Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data
Exploring ridesourcing trip patterns by fusing multi-source data: A big data approach
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
Mining bike sharing trip record data: A closer examination of the operating performance at station level
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
A Natural Language-Based Automatic Identification System Trajectory Query Approach Using Large Language Models
The trajectory data collected by an Automatic Identification System (AIS) are an essential resource for various ships, and effective filtering and querying approaches are fundamental for managing these data. Natural language has become the preferred way to express complex query requirements and intents, due to its intuitiveness and universal applicability. In light of this, we propose a natural language-based AIS trajectory query approach using l…
Computer Science (5 works) · Engineering (5 works) · Transport engineering (5 works) · Urban Transport and Accessibility (5 works) · Human Mobility and Location-Based Analysis (3 works) · Transportation Planning and Optimization (3 works) · Bike sharing (2 works) · Computer security (2 works) · Geography (2 works) · 2019-20 coronavirus outbreak (1 works)