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Balayn, A.M.A. (author), He, G. (author), Hu, Andrea (author), Yang, J. (author), Gadiraju, Ujwal (author)
Access to commonsense knowledge is receiving renewed interest for developing neuro-symbolic AI systems, or debugging deep learning models. Little is currently understood about the types of knowledge that can be gathered using existing knowledge elicitation methods. Moreover, these methods fall short of meeting the evolving requirements of...
conference paper 2022
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Suau, M. (author), He, J. (author), Spaan, M.T.J. (author), Oliehoek, F.A. (author)
Learning effective policies for real-world problems is still an open challenge for the field of reinforcement learning (RL). The main limitation being the amount of data needed and the pace at which that data can be obtained. In this paper, we study how to build lightweight simulators of complicated systems that can run sufficiently fast for...
conference paper 2022
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Yao, X. (author), He, Y. (author), Hessenberger, Norbert (author), Song, Y. (author), Vink, P. (author)
During a flight, passengers spend most of their time sitting in their seats. Studying the comfort and discomfort while passengers are sitting is helpful to improve the overall comfort during a flight. Pressure mats are commonly used in studies to collect pressure distribution in order to research sitting comfort. Different from most past studies...
conference paper 2021
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Salimzadeh, S. (author), He, G. (author), Gadiraju, Ujwal (author)
Recent advances in the performance of machine learning algorithms have led to the adoption of AI models in decision making contexts across various domains such as healthcare, finance, and education.Different research communities have attempted to optimize and evaluate human-AI team performance through empirical studies by increasing...
conference paper 2023
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He, G. (author), Kuiper, L.A. (author), Gadiraju, Ujwal (author)
The dazzling promises of AI systems to augment humans in various tasks hinge on whether humans can appropriately rely on them. Recent research has shown that appropriate reliance is the key to achieving complementary team performance in AI-assisted decision making. This paper addresses an under-explored problem of whether the Dunning-Kruger...
conference paper 2023
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Qu, Yiting (author), He, Xinlei (author), Pierson, Shannon (author), Backes, Michael (author), Zhang, Y. (author), Zannettou, S. (author)
The dissemination of hateful memes online has adverse effects on social media platforms and the real world. Detecting hateful memes is challenging, one of the reasons being the evolutionary nature of memes; new hateful memes can emerge by fusing hateful connotations with other cultural ideas or symbols. In this paper, we propose a framework that...
conference paper 2023
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Ji, X. (author), van Zeijl, H.W. (author), Jiao, Weiping (author), He, S. (author), Du, L. (author), Zhang, Kouchi (author)
The trend to 3D and heterogeneous integration enable driving multi-functional blocks in one package. Flip-chip integration is currently playing an important role and is based on solder joints. To overcome the limitations of solder joints, all-copper interconnects have been investigated to meet electrical, thermal, and reliability demands in...
conference paper 2023
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He, C. (author), Yang, Z. (author), Zhang, P. (author), Li, S. (author), Naeimi, M. (author), Li, Z. (author)
Polygonal wear is a common type of damage on the railway wheel tread, which could induce wheel-rail impacts and further components failure. This study presents a finite element (FE) thermomechanical model to investigate the causes of wheel polygonal wear. The FE model is able to cope with three possible causes of polygonal wear: thermal...
conference paper 2022
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He, S. (author), Lukovic, M. (author), Schlangen, E. (author)
In the current study, experiments were carried out to investigate the cracking behaviour of reinforced concrete beams consisting of 1-cm-thick layer of Strain Hardening Cementitious Composite (SHCC) in the concrete cover zone. The hybrid SHCC/concrete beams with different types of interfaces were tested and compared with control reinforced...
conference paper 2023
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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...
conference paper 2023
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He, Xiaoxi (author), Cheng, Haibo (author), Xie, Jiahong (author), Wang, Ping (author), Liang, K. (author)
Passwords have been widely used in online authentication, and they form the front line that protects our data security and privacy. But the security of password may be easily harmed by insecure password generator. Massive reports state that users are always keen to generate new passwords by reusing or fine-tuning old secrets. Once an old...
conference paper 2022
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Wang, Zhe (author), Wu, Shilong (author), Chen, Hang (author), He, Mao-Kui (author), Du, Jun (author), Lee, Chin-Hui (author), Chen, Jingdong (author), Watanabe, Shinji (author), Siniscalchi, Sabato Marco (author), Scharenborg, O.E. (author), Liu, Diyuan (author)
The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research into wake-up words, speaker diarization, speech recognition, and other technologies. The MISP2022 challenge has two tracks: 1) audio-visual speaker diarization (AVSD),...
conference paper 2023
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He, Nan (author), Yang, S. (author), Li, Fan (author), Trajanovski, S. (author), Kuipers, F.A. (author), Fu, Xiaoming (author)
The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately, these aspects are not easily optimized, especially under time-varying network states with different quality of service (QoS) requirements. Given the importance of...
conference paper 2021
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He, Y. (author), Joseph, G. (author)
This paper presents novel cascaded channel estimation techniques for an intelligent reflecting surface-aided multiple-input multiple-output system. Motivated by the channel angular sparsity at higher frequency bands, the channel estimation problem is formulated as a sparse vector recovery problem with an inherent Kronecker structure. We solve...
conference paper 2023
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Li, Zi Ru (author), Zhang, Guang Ming (author), He, Wei Dong (author), van Terwisga, T.J.C. (author)
In this paper, the unsteady cavitation phenomena on a NACA0015 hydrofoil is numerically simulated by unsteady Reynolds-Averaged Navier-Stokes (URANS) method and Large Eddy Simulation (LES) in single-fluid approaches to multiphase modelling, respectively. It is observed that the large-scale structures and characteristic periodic shedding...
conference paper 2015
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He, Y. (author), Coutino, Mario (author), Isufi, E. (author), Leus, G.J.T. (author)
In this work, we focus on partitioning dynamic graphs with two types of nodes (bi-colored), though not necessarily bipartite graphs. They commonly appear in communication network applications, e.g., one color being base stations, the other users, and the dynamic process being the varying connection status between base stations and moving...
conference paper 2022
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He, Z. (author), Sun, P. (author), Van Mieghem, P.F.A. (author)
Network recoverability refers to the ability of a network to return to a desired performance level after suffering malicious attacks or random failures. This paper proposes a general topological approach and recoverability indicators to measure the network recoverability in two scenarios: 1) recovery of damaged connections and 2) any...
conference paper 2019
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Gao, Z. (author), Fritz, Martin (author), He, J. (author), Spalink, Gerd (author), Staszewski, R.B. (author), Alavi, S.M. (author), Babaie, M. (author)
We present a broadband digital PLL (DPLL)-based phase modulator supporting wide frequency modulation (FM) bandwidth (BW). It compensates for the EVM degradation due to the non-uniform period of the retimed updating clock and shortens the nonlinearity calibration time of the digitally controlled oscillator (DCO) with a phase-domain digital pre...
conference paper 2022
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He, Xianqi (author), Yang, Lin (author), Lu, Chao (author), Gong, Jianwei (author), Li, Z. (author)
In urban environments, the complex and uncertain intersection scenarios are challenging for autonomous driving. To ensure safety, it is crucial to develop an adaptive decision making system that can handle the interaction with other vehicles. Manually designed model-based methods are reliable in common scenarios. But in uncertain environments,...
conference paper 2022
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He, L. (author), de Weerdt, M.M. (author), Yorke-Smith, N. (author)
An important class of scheduling problems is characterised by time-dependency and/or sequence-dependency with time windows. We introduce and analyze four algorithmic ideas for this class: a novel hybridization of adaptive large neighbourhood search (ALNS) and tabu search (TS), randomized generic neighbourhood operators, a partial sequence...
conference paper 2019
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