111 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Hong KongHK16 papers
- Hong Kong University of Science and TechnologyHK2 papers
- Istituto di Scienze Marine del Consiglio Nazionale delle RicercheIT2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Santa Fe InstituteUS2 papers
- Universidad de ZaragozaES2 papers
- University of RochesterUS2 papers
- American University of BeirutLB1 paper
- Beijing Municipal GovernmentCN1 paper
- Birmingham City UniversityGB1 paper
- CentraleSupélecFR1 paper
- Central European UniversityAT1 paper
18 papers
Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework
Zixuan Xiao, Pei Troh Koh, Jun Ma +1
Automating compliance check for geometry-intensive regulations remains a significant technical bottleneck in Building Information Modeling (BIM), primarily due to the semantic disp…
MMUEChange: A Generalized LLM Agent Framework for Intelligent Multi-Modal Urban Environment Change Analysis
Zixuan Xiao, Jun Ma, Siwei Zhang
Understanding urban environment change is essential for sustainable development. However, current approaches, particularly remote sensing change detection, often rely on rigid, sin…
Eye dominance and testing order effects in the circularly-oriented macular pigment optical density measurements that rely on the perception of structured light-based stimuli
Mukhit Kulmaganbetov, Taranjit Singh, Dmitry Pushin +10
Psychophysical discrimination of structured light (SL) stimuli may be useful in screening for various macular disorders, including degenerative macular diseases. The circularly-ori…
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives
Kwok P Chun, Thanti Octavianti, Nilay Dogulu +24
Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster…
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang, Hanmo Liu, Shimin Di +4
High-level automation is increasingly critical in AI, driven by rapid advances in large language models (LLMs) and AI agents. However, LLMs, despite their general reasoning power,…
Identifying hubs in directed networks
Alec Kirkley
Nodes in networks that exhibit high connectivity, also called ``hubs'', play a critical role in determining the structural and functional properties of networked systems. However,…
Normalized mutual information is a biased measure for classification and community detection
Maximilian Jerdee, Alec Kirkley, M. E. J. Newman
Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that result…
Characterizing network circuity among heterogeneous urban amenities
Bibandhan Poudyal, Gourab Ghoshal, Alec Kirkley
The spatial configuration of urban amenities and the streets connecting them collectively provide the structural backbone of a city, influencing its accessibility, vitality, and ul…
Heterogeneous message passing for heterogeneous networks
George T. Cantwell, Alec Kirkley, Filippo Radicchi
Message passing (MP) is a computational technique used to find approximate solutions to a variety of problems defined on networks. MP approximations are generally accurate in local…
Quantifying the uneven efficiency benefits of ridesharing market integration
Xiaohan Wang, Zhan Zhao, Hongmou Zhang +2
Ridesharing is recognized as one of the key pathways to sustainable urban mobility. With the emergence of Transportation Network Companies (TNCs) such as Uber and Lyft, the ridesha…
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto, Alec Kirkley
The task of community detection, which aims to partition a network into clusters of nodes to summarize its large-scale structure, has spawned the development of many competing algo…
Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
Yihong Tang, Junlin He, Zhan Zhao
Human mobility prediction is a fundamental task essential for various applications in urban planning, location-based services and intelligent transportation systems. Existing metho…
The impact of inter-city mobility on urban welfare
Sayat Mimar, David Soriano-Paños, Alec Kirkley +5
While much effort has been devoted to understand the role of intra-urban characteristics on sustainability and growth, much remains to be understood about the effect of inter-urban…
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Yuebing Liang, Guan Huang, Zhan Zhao
Dynamic demand prediction is crucial for the efficient operation and management of urban transportation systems. Extensive research has been conducted on single-mode demand predict…
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns
Yuebing Liang, Zhan Zhao, Lijun Sun
Missing data is an inevitable and ubiquitous problem for traffic data collection in intelligent transportation systems. Despite extensive research regarding traffic data imputation…
NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms
Yuebing Liang, Zhan Zhao
Trajectory prediction of vehicles in city-scale road networks is of great importance to various location-based applications such as vehicle navigation, traffic management, and loca…
Vector-based Pedestrian Navigation in Cities
Christian Bongiorno, Yulun Zhou, Marta Kryven +5
How do pedestrians choose their paths within city street networks? Researchers have tried to shed light on this matter through strictly controlled experiments, but an ultimate answ…
Species Abundance Distribution and Species Accumulation Curve: A General Framework and Results
Cheuk Ting Li, Kim-Hung Li
We build a general framework which establishes a one-to-one correspondence between species abundance distribution (SAD) and species accumulation curve (SAC). The appearance rates o…