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Xu, J. (author), Busoniu, L (author), van den Boom, A.J.J. (author), De Schutter, B.H.K. (author)
This paper addresses the infinite-horizon optimal control problem for max-plus linear systems where the considered objective function is a sum of discounted stage costs over an infinite horizon. The minimization problem of the cost function is equivalently transformed into a maximization problem of a reward function. The resulting optimal...
conference paper 2016
document
Zhang, Xinglong (author), Peng, Yaoqian (author), Pan, W. (author), Xu, Xin (author), Xie, Haibin (author)
Distributed model predictive control (DMPC) concerns how to online control multiple robotic systems with constraints effectively. However, the nonlinearity, nonconvexity, and strong interconnections of dynamic system models and constraints can make the real-time and real-world DMPC implementations nontrivial. Reinforcement learning (RL)...
conference paper 2022
document
Xu, F. (author), Hajibeygi, H. (author), Sluys, Lambertus J. (author)
Altering the state of the stress of the subsurface reservoirs can lead fractures to slip and extend their lengths (i.e., to propagate). This process can even be engineered, in many applications, e.g., enhanced geothermal systems. As such, accurate and efficient simulation of the mechanical deformation of the subsurface geological reservoirs,...
conference paper 2022
document
Koffas, S. (author), Xu, J. (author), Conti, M. (author), Picek, S. (author)
This work explores backdoor attacks for automatic speech recognition systems where we inject inaudible triggers. By doing so, we make the backdoor attack challenging to detect for legitimate users and, consequently, potentially more dangerous. We conduct experiments on two versions of a speech dataset and three neural networks and explore the...
conference paper 2022
document
Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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de Groot, Lucan (author), Xu, M. (author), Zuniga, Marco (author)
We explore a new alternative for drones to gather information from sensors. Instead of using the traditional radio-frequency spectrum, whose broadcast nature makes it more difficult to poll specific objects, we utilize the light spectrum. In our system, the drone carries a light, and flies to an area that it is interested in polling. Only the...
conference paper 2023
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Xu, Ran (author), Wang, F. (author), Kooij, Robert (author)
In this paper we investigate the controller placement problem on networks using controller reachability as the network performance metric. This metric is defined as the probability that each node can reach at least one controller, given that each link is operational with a fixed probability. By exploring placements for more than 100 real-world...
conference paper 2023
document
Wu, Y. (author), Soeiro, Thiago B. (author), Shekhar, A. (author), Xu, J. (author), Bauer, P. (author)
LCL filter is widely adopted for strict standard compliance of grid-tied voltage source converters (VSCs). The third order low-pass filtering provides great attenuation for the high frequency harmonics generated by the power electronics guaranteeing low output currents noise injection into the grid. A major concern of the implementation of the...
conference paper 2021
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Sun, Zhu (author), Yang, J. (author), Zhang, Jie (author), Bozzon, A. (author), Chen, Yu (author), Xu, Chi (author)
Representation learning (RL) has recently proven to be effective in capturing local item relationships by modeling item co-occurrence in individual user's interaction record. However, the value of RL for recommendation has not reached the full potential due to two major drawbacks: 1) recommendation is modeled as a rating prediction problem...
conference paper 2017
document
Xu, M. (author), Chavez Tapia, M.A. (author), Zuniga, Marco (author)
There is a growing interest in exploiting ambient light for wireless communication. This new research area has two key advantages: it utilizes a free portion of the spectrum and does not require modifications of the lighting infrastructure. Most existing designs, however, rely on a single type of optical surface at the transmitter: liquid...
conference paper 2022
document
Chao, Q. (author), Yu, J (author), Dai, C. (author), Xu, T (author), Zhang, L. (author), Wang, C.C. (author), Jin, X. (author)
We present a general solution for steering microrobotic<br/>swarm by dynamic actuating fields. In our approach, the<br/>motion of micro-robots is controlled by changing the actuating<br/>direction of a field applied to them. The time-series sequence<br/>of actuating field’s directions can be computed automatically.<br/>Given a target position in...
conference paper 2016
document
Xu, J. (author), Wang, R. (author), Koffas, S. (author), Liang, K. (author), Picek, S. (author)
Graph Neural Networks (GNNs) are a class of deep learning-based methods for processing graph domain information. GNNs have recently become a widely used graph analysis method due to their superior ability to learn representations for complex graph data. Due to privacy concerns and regulation restrictions, centralized GNNs can be difficult to...
conference paper 2022
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Xia, Fei (author), Gevers, Monique (author), Fognini, Andreas (author), Mok, Aaron T. (author), Li, Bo (author), Akabri, Najva (author), Esmaeil Zadeh, I.Z. (author), Qin-Dregely, Y. (author), Xu, Chris (author)
Using short-wave infrared wavelength advantages, we demonstrate one-photon fluorescence confocal microscopy of adult mouse brains with penetration depths up to 1.7mm. This is achieved by labeling quantum dots with 1300 nm excitation and 1700 nm emission and detecting them with a single-photon superconducting nanowire detector.
conference paper 2022
document
Xu, Luyan (author), Zhou, Xuan (author), Gadiraju, Ujwal (author)
Studies in searching as learning (SAL) have revealed that user knowledge gain not only manifests over a long-term learning period, but also occurs in single short-term web search sessions. Though prior works have shown that the knowledge gain of collaborators can be influenced by user demographics and searching strategies in long-term...
conference paper 2020
document
Xu, S. (author), Liu, X. (author), Tabakovic, A. (author), Schlangen, E. (author)
Incorporating self-healing technology in asphalt pavement has been demonstrated to have great potential to prolong its service life. To this aim, the calcium alginate capsules encapsulating rejuvenator were manufactured and proved to have sufficient thermal stability and mechanical resistance to survive the asphalt production and compaction...
conference paper 2018
document
Sun, Zhu (author), Yang, J. (author), Zhang, J. (author), Bozzon, A. (author), Huang, Long Kai (author), Xu, Chi (author)
Knowledge graphs (KGs) have proven to be effective to improve recommendation. Existing methods mainly rely on hand-engineered features from KGs (e.g., meta paths), which requires domain knowledge. This paper presents RKGE, a KG embedding approach that automatically learns semantic representations of both entities and paths between entities...
conference paper 2018
document
Xu, S. (author), Wang, J. (author), Yarovoy, Alexander (author)
Radar imaging using ultra-wideband (UWB) automotive radar is investigated. To overcome poor cross-range resolution of traditional beamforming (BF) algorithms, super resolution technique is applied for the Direction of Arrival (DOA) estimation. Both super-resolution algorithm and conventional BF method are used to process experimental data...
conference paper 2018
document
Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
document
Xu, Man (author), Wei, S. (author), Zlatanova, S. (author), Zhang, Ruiju (author)
At present, 87 % of people's activities are in indoor environment; indoor navigation has become a research issue. As the building structures for people's daily life are more and more complex, many obstacles influence humans' moving. Therefore it is essential to provide an accurate and efficient indoor path planning. Nowadays there are many...
conference paper 2017
document
Xu, Junzhong (author), Gao, Fei (author), Soeiro, Thiago B. (author), Chen, Linglin (author), Tarisciotti, Luca (author), Tang, Houjun (author), Bauer, P. (author)
The implementation of traditional finite-control-set model predictive control (FCS-MPC) with variable switching frequency in voltage source rectifiers (VSRs) can make the system suffer from poor current harmonics performance. In fact, the resulting wide-spread voltage harmonic generated at the AC terminals makes the design of the typical multi...
conference paper 2020
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