Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Kavli Affiliate: Gang Su | First 5 Authors: Gang Su, Sun Yang, Zhishuai Li, , | Summary: The steam drum water level is a critical parameter that directly impacts the safety and efficiency of power plant operations. However, predicting the drum water level in boilers is challenging due to complex non-linear process dynamics originating from […]


Continue.. Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Event-Aided Time-to-Collision Estimation for Autonomous Driving

Kavli Affiliate: Yi Zhou | First 5 Authors: Jinghang Li, Bangyan Liao, Xiuyuan LU, Peidong Liu, Shaojie Shen | Summary: Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system. One bottleneck of existing vision-based solutions is that their updating rate is limited to the frame rate of standard […]


Continue.. Event-Aided Time-to-Collision Estimation for Autonomous Driving

Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Kavli Affiliate: Long Zhang | First 5 Authors: Yonghong Li, Jing Zhang, Linfeng Jiang, Long Zhang, Yugang Zhang | Summary: Searching the optimal doping compositions of the Y-type hexaferrite Ba2Mg2Fe12O22 remains a long-standing challenge for enhanced non-collinear magnetic transition temperature (TNC). Instead of the conventional trial-and-error approach, the composition-property descriptor is established via a data […]


Continue.. Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Minghan Wei, Volkan Isler, , | Summary: We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that all objects of interest can be detected successfully. To represent a viable detection […]


Continue.. Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection

Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity

Kavli Affiliate: Bo Gu | First 5 Authors: Yiming Chen, Xingyuan Hu, Bo Gu, Shimin Gong, Zhou Su | Summary: In mobile edge computing systems, base stations (BSs) equipped with edge servers can provide computing services to users to reduce their task execution time. However, there is always a conflict of interest between the BS […]


Continue.. Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity

BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou | Summary: Neural implicit representation of visual scenes has attracted a lot of attention in recent research of computer vision and graphics. Most prior methods focus on how to reconstruct 3D scene representation from a set of […]


Continue.. BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream

Rateless Stochastic Coding for Delay-constrained Semantic Communication

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Rulong Wang, Yong Xiao, , | Summary: We consider the problem of joint source-channel coding with distortion and perception constraints from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. We […]


Continue.. Rateless Stochastic Coding for Delay-constrained Semantic Communication

Rateless Stochastic Coding for Delay-Constrained Semantic Communication

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Rulong Wang, Yong Xiao, , | Summary: We consider the problem of joint source-channel coding for semantic communication from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. In particular, we […]


Continue.. Rateless Stochastic Coding for Delay-Constrained Semantic Communication

Rateless Stochastic Coding for Delay-Constrained Semantic Communication

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Rulong Wang, Yong Xiao, , | Summary: We consider the problem of joint source-channel coding for semantic communication from a rateless perspective, the purpose of which is to settle the balance between reliability (distortion/perception) and effectiveness (rate) of transmission over uncertain channels. In particular, we […]


Continue.. Rateless Stochastic Coding for Delay-Constrained Semantic Communication

SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues

Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen, | Summary: Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance. In this paper, we present a novel framework, SimTxtSeg, that leverages simple text cues to generate high-quality […]


Continue.. SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues