241 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- ETH ZurichCH12 papers
- National University of SingaporeSG7 papers
- Swiss Finance InstituteCH3 papers
- Deutsche Telekom (Singapore)SG2 papers
- Institute for Transport Planning and SystemsCH2 papers
- Institute of Cartography and GeoinformationCH2 papers
- Nanyang Technological UniversitySG2 papers
- China University of GeosciencesCN1 paper
- Collegium HelveticumCH1 paper
- Dalian University of TechnologyCN1 paper
- Dongguan University of TechnologyCN1 paper
- Hong Kong University of Science and TechnologyHK1 paper
17 papers
Context-aware multi-head self-attentional neural network model for next location prediction
Ye Hong, Yatao Zhang, Konrad Schindler +1
Accurate activity location prediction is a crucial component of many mobility applications and is particularly required to develop personalized, sustainable transportation systems.…
Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization
Martín Mosteiro-Romero, Clayton Miller, Adrian Chong +1
Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they w…
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems
Wei Liu, Zhilu Lai, Kiran Bacsa +1
Accurate structural response prediction forms a main driver for structural health monitoring and control applications. This often requires the proposed model to adequately capture…
InfraRisk: An Open-Source Simulation Platform for Asset-Level Resilience Analysis in Interconnected Infrastructure Networks
Srijith Balakrishnan, Beatrice Cassottana
Integrated simulation models are emerging as an alternative for analyzing large-scale interdependent infrastructure networks due to their modeling advantages over traditional inter…
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty
Wei Liu, Zhilu Lai, Kiran Bacsa +1
In this paper, we propose a probabilistic physics-guided framework, termed Physics-guided Deep Markov Model (PgDMM). The framework targets the inference of the characteristics and…
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
Nishant Kumar, Martin Raubal
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of service of the transportation network. With increasing access to larger datasets of…
Consumer Privacy Protection using Flexible Thermal Loads: Theoretical Limits and Practical Considerations
Jun-Xing Chin, Kyri Baker, Gabriela Hug
The increasing adoption of smart meters introduces growing concerns about consumer privacy risks stemming from high resolution metering data. To counter these risks, there have bee…
A Control Chart Approach to Power System Line Outage Detection Under Transient Dynamics
Xiaozhou Yang, Nan Chen, Chao Zhai
Online transmission line outage detection over the entire network enables timely corrective action to be taken, which prevents a local event from cascading into a large scale black…
Identification and Analysis of Cascading Failures in Power Grids with Protective Actions
Chao Zhai, Gaoxi Xiao, Hehong Zhang
This paper aims to identify and analyze the initial contingencies or disturbances that could lead to the worst-case cascading failures of power grids. An optimal control approach i…
Quantitative evaluation of consecutive resilience cycles in stock market performance: A systems-oriented approach
Junqing Tang, Hans R. Heinimann
Financial markets can be seen as complex systems that are constantly evolving and sensitive to external disturbance, such as systemic risks and economic instabilities. Analysis of…
Contingency Identification of Cascading Failures in Power Transmission Networks
Chao Zhai, Hehong Zhang, Gaoxi Xiao +1
Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigg…
GDP growth rates as confined Lévy flights
Sandro Claudio Lera, Didier Sornette
A new model that combines economic growth rate fluctuations at the microscopic and macroscopic level is presented. At the microscopic level, firms are growing at different rates wh…
A Linearly Convergent Majorized ADMM with Indefinite Proximal Terms for Convex Composite Programming and Its Applications
Ning Zhang, Jia Wu, Liwei Zhang
This paper aims to study a majorized alternating direction method of multipliers with indefinite proximal terms (iPADMM) for convex composite optimization problems. We show that th…
Quantum decision theory in simple risky choices
M. Favre, A. Wittwer, H. R. Heinimann +2
Quantum decision theory (QDT) is a recently developed theory of decision making based on the mathematics of Hilbert spaces, a framework known in physics for its application to quan…
Currency target zone modeling: An interplay between physics and economics
Sandro Claudio Lera, Didier Sornette
We study the performance of the euro/Swiss franc exchange rate in the extraordinary period from September 6, 2011 and January 15, 2015 when the Swiss National Bank enforced a minim…
Efficient detection of contagious outbreaks in massive metropolitan encounter networks
Lijun Sun, Kay W. Axhausen, Der-Horng Lee +1
Physical contact remains difficult to trace in large metropolitan networks, though it is a key vehicle for the transmission of contagious outbreaks. Co-presence encounters during d…
Understanding metropolitan patterns of daily encounters
Lijun Sun, Kay W. Axhausen, Der-Horng Lee +1
Understanding of the mechanisms driving our daily face-to-face encounters is still limited; the field lacks large-scale datasets describing both individual behaviors and their coll…