10 accepted papers
This letter presents empirical research on the non-reproducibility of light detection and ranging sensor (LiDAR)-inertial odometry (LIO) systems. Although the LIO community has made commendable efforts toward reproducible localization accuracy, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"
This letter presents empirical research on the non-reproducibility of light detection and ranging sensor (LiDAR)-inertial odometry (LIO) systems. Although the LIO community has made commendable efforts toward reproducible localization accuracy, noteworthy non-reproducibility remains, thus hindering …
Designing complex computer-aided design (CAD) models is often time-consuming due to challenges such as computational inefficiency and the difficulty of generating precise models. We propose a novel language-guided framework for industrial design automation to address these issues, integrating large…
Pseudo-labeling is a widely used strategy in semi-supervised learning. Existing methods typically select predicted labels with high confidence scores and high training stationarity, as pseudo-labels to augment training sets. In contrast, this paper explores the pseudo-labeling potential of predicted…
Face avatar generation has gained significant attention recently. With the help of the Neural Radiance Field (NeRF), existing 3D methods alleviate facial distortion in 2D methods under large pose changes. However, the state-of-the-art 3D methods still require additional optimization for generation o…
Molecular representation learning has emerged as a game-changer at the intersection of AI and chemistry, with great potential in applications such as drug design and materials discovery. A substantial obstacle in successfully applying molecular representation learning is the difficulty of effective…
The advancement toward deeper graph neural networks is currently obscured by two inherent issues in message passing, *oversmoothing* and *oversquashing*. We identify the root cause of these issues as information loss due to *heterophily mixing* in aggregation, where messages of diverse category sema…
Machine Learning systems are vulnerable to adversarial attacks and will highly likely produce incorrect outputs under these attacks. There are white-box and black-box attacks regarding to adversary's access level to the victim learning algorithm. To defend the learning systems from these attacks, ex…
Music tone quality evaluation is generally performed by experts. It could be subjective and short of consistency and fairness as well as time-consuming. In this paper we present a new method for identifying the clarinet reed quality by evaluating tone quality based on the harmonic structure and ener…
We study the problem of node classification on graphs with few-shot novel labels, which has two distinctive properties: (1) There are novel labels to emerge in the graph; (2) The novel labels have only a few representative nodes for training a classifier. The study of this problem is instructive and…