50 citations · 55 across the 14 of their papers we have counts for
15 papers
CoEM: Empowering Long-Context Reasoning with Commit-on-Evidence Memory
Jingguang Li, Yebo Wu, Zuyi Guo +7
Long-context reasoning is essential for complex and long-horizon tasks, yet the performance of large language models (LLMs) degrades as context length increases. Recent approaches…
EventOD: Event-Aware OD Flow Generation via LLM-Guided Semantic Modulation
Jie Zhao, Jie Feng, Can Rong +3
Estimating origin-destination (OD) flows under disruptive events is important for disaster response and urban resilience. Existing deep OD models trained on routine mobility often…
SENSE: Satellite-based ENergy Synthesis for Sustainable Environment
Kailai Sun, Mingyi He, Heye Huang +5
Urban Building Energy Modeling plays a critical role in achieving the United Nations' Sustainable Development Goals 7 and 11. Although existing studies based on satellite imagery a…
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model
Qingyue Long, Can Rong, Tong Li +1
Human trajectory data is crucial in urban planning, traffic engineering, and public health. However, directly using real-world trajectory data often faces challenges such as privac…
A Global Commuting Origin-Destination Flow Dataset for Urban Sustainable Development
Can Rong, Jingtao Ding, Meng Li +1
Commuting Origin-Destination (OD) flows capture movements of people from residences to workplaces, representing the predominant form of intra-city mobility and serving as a critica…
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong, Xin Zhang, Yanxin Xi +3
Commuting Origin-destination~(OD) flows, capturing daily population mobility of citizens, are vital for sustainable development across cities around the world. However, it is chall…
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
Qingyue Long, Can Rong, Huandong Wang +2
In the real world, trajectory data is often sparse and incomplete due to low collection frequencies or limited device coverage. Trajectory recovery aims to recover these missing tr…
One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
Qingyue Long, Can Rong, Huandong Wang +1
Trajectory data play a crucial role in many applications, ranging from network optimization to urban planning. Existing studies on trajectory data are task-specific, and their appl…
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History
En Xu, Can Rong, Jingtao Ding +1
The evolutionary processes of complex systems contain critical information regarding their functional characteristics. The generation time of edges provides insights into the histo…
A Large-scale Benchmark Dataset for Commuting Origin-destination Matrix Generation
Can Rong, Jingtao Ding, Yan Liu +1
The commuting origin-destination~(OD) matrix is a critical input for urban planning and transportation, providing crucial information about the population residing in one region an…
MOSS: A Large-scale Open Microscopic Traffic Simulation System
Jun Zhang, Wenxuan Ao, Junbo Yan +4
In the research of Intelligent Transportation Systems (ITS), traffic simulation is a key procedure for the evaluation of new methods and optimization of strategies. However, existi…
Complexity-aware Large Scale Origin-Destination Network Generation via Diffusion Model
Can Rong, Jingtao Ding, Zhicheng Liu +1
The Origin-Destination~(OD) networks provide an estimation of the flow of people from every region to others in the city, which is an important research topic in transportation, ur…
Origin-Destination Network Generation via Gravity-Guided GAN
Can Rong, Huandong Wang, Yong Li
Origin-destination (OD) flow, which contains valuable population mobility information including direction and volume, is critical in many urban applications, such as urban planning…
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data
Huandong Wang, Huan Yan, Can Rong +6
Complex system simulation has been playing an irreplaceable role in understanding, predicting, and controlling diverse complex systems. In the past few decades, the multi-scale sim…
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
Can Rong, Jingtao Ding, Yong Li
Origin-destination (OD) flow modeling is an extensively researched subject across multiple disciplines, such as the investigation of travel demand in transportation and spatial int…