Robust MPC with Zone Tracking

Kavli Affiliate: Biao Huang | First 5 Authors: Zhiyinan Huang, Jinfeng Liu, Biao Huang (University of Alberta) | Summary: We propose a robust nonlinear model predictive control design with generalized zone tracking (ZMPC) in this work. The proposed ZMPC has guaranteed convergence into the target zone in the presence of bounded disturbance. The proposed approach […]


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Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting

Kavli Affiliate: Yi Zhou | First 5 Authors: Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala | Summary: Cosine similarity between two words, computed using their contextualised token embeddings obtained from masked language models (MLMs) such as BERT has shown to underestimate the actual similarity between those words (Zhou et al., 2022). This similarity underestimation problem is […]


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Super-Resolution Imaging via Angular Magnification

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Dingpeng Liao, Kun Zhang, Zijie Ma, Shikai Wu | Summary: The far-field resolution of optical imaging systems is restricted by the Abbe diffraction limit, a direct result of the wave nature of light. One successful technological approach to circumventing this limit is to reduce the […]


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Exploring $^3P_0$ Superfluid in Dilute Spin-Polarized Neutron Matter

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Hiroyuki Tajima, Hiroshi Funaki, Yuta Sekino, Nobutoshi Yasutake, Mamoru Matsuo | Summary: We study the theoretical possibility of $^3P_0$ neutron superfluid in dilute spin-polarized neutron matter, which may be relevant to the crust region of a magnetized neutron star. In such a dilute regime where the neutron […]


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On Ultrafast X-ray Methods for Magnetism

Kavli Affiliate: Cheng Peng | First 5 Authors: Rajan Plumley, Sathya Chitturi, Cheng Peng, Tadesse Assefa, Nicholas Burdet | Summary: With the introduction of x-ray free electron laser sources around the world, new scientific approaches for visualizing matter at fundamental length and time-scales have become possible. As it relates to magnetism and “magnetic-type” systems, advanced […]


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The 3rd Anti-UAV Workshop & Challenge: Methods and Results

Kavli Affiliate: Zheng Zhu | First 5 Authors: Jian Zhao, Jianan Li, Lei Jin, Jiaming Chu, Zhihao Zhang | Summary: The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two […]


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Multi-Prompt with Depth Partitioned Cross-Modal Learning

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiqi Wang, Xianda Guo, Zheng Zhu, Yingjie Tian | Summary: In recent years, soft prompt learning methods have been proposed to fine-tune large-scale vision-language pre-trained models for various downstream tasks. These methods typically combine learnable textual tokens with class tokens as input for models with frozen parameters. […]


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Accented Text-to-Speech Synthesis with Limited Data

Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: This paper presents an accented text-to-speech (TTS) synthesis framework with limited training data. We study two aspects concerning accent rendering: phonetic (phoneme difference) and prosodic (pitch pattern and phoneme duration) variations. The proposed accented TTS framework consists of two models: […]


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Dual Residual Attention Network for Image Denoising

Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: In image denoising, deep convolutional neural networks (CNNs) can obtain favorable performance on removing spatially invariant noise. However, many of these networks cannot perform well on removing the real noise (i.e. spatially variant noise) generated during image acquisition or transmission, […]


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LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a server and several parties with local datasets that share a sample ID space but have different feature sets. The […]


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