User profiles for Xiyue Zhu
Xiyue ZhuUniversity of Illinois Urbana Champaign Verified email at illinois.edu Cited by 93 |
Learning to generate realistic lidar point clouds
We present LiDARGen, a novel, effective, and controllable generative model that produces
realistic LiDAR point cloud sensory readings. Our method leverages the powerful score-…
realistic LiDAR point cloud sensory readings. Our method leverages the powerful score-…
[HTML][HTML] Suppressing interfacial polarization via entropy increase strategy for superior energy-storage performance of Na0. 5Bi0. 5TiO3-based ceramics
H Zhao, W Cao, D Han, X Zhu, C Liang, C Wang… - Journal of …, 2024 - Elsevier
High entropy engineering has emerged as a new strategy to improve the energy storage
density and efficiency of dielectric capacitors due to its unique design concept. However, the …
density and efficiency of dielectric capacitors due to its unique design concept. However, the …
A review of small object detection based on deep learning
W Wei, Y Cheng, J He, X Zhu - Neural Computing and Applications, 2024 - Springer
Small object detection is widely used in a variety of fields such as automatic driving, UAV-based
object detection, and aerial image detection. However, small objects carry limited …
object detection, and aerial image detection. However, small objects carry limited …
Mapprior: bird's-eye view map layout estimation with generative models
Despite tremendous advancements in bird's-eye view (BEV) perception, existing models fall
short in generating realistic and coherent semantic map layouts, and they fail to account for …
short in generating realistic and coherent semantic map layouts, and they fail to account for …
[HTML][HTML] Adaptive mask-based interpretable convolutional neural network (AMI-CNN) for modulation format identification
X Zhu, Y Cheng, J He, J Guo - Applied Sciences, 2024 - mdpi.com
Recently, various deep learning methods have been applied to Modulation Format
Identification (MFI). The interpretability of deep learning models is important. However, this …
Identification (MFI). The interpretability of deep learning models is important. However, this …
[HTML][HTML] Strengthened and toughened SiHfBCN-based high-temperature resistant adhesive with SiC NWs
L Xingang, ZHU Xiyue, D Xichao, LI Min - Chinese Journal of …, 2024 - Elsevier
To further improve the performance of binders, a SiHfBCN-based high-temperature resistant
adhesive was successfully synthesized by Polymer-Derived Ceramics (PDC) route using …
adhesive was successfully synthesized by Polymer-Derived Ceramics (PDC) route using …
Porous platinum–silver bimetallic alloys: surface composition and strain tunability toward enhanced electrocatalysis
Promoting surface strains in heterogeneous catalysts and heteroatomic interactions in alloying
offer an effective strategy for the development of electrocatalysts with greatly enhanced …
offer an effective strategy for the development of electrocatalysts with greatly enhanced …
Compressive surface strained atomic-layer Cu2O on Cu@Ag nanoparticles
Control of surface structure at the atomic level can effectively tune catalytic properties of
nanomaterials. Tuning surface strain is an effective strategy for enhancing catalytic activity; …
nanomaterials. Tuning surface strain is an effective strategy for enhancing catalytic activity; …
High-performance quantum dots with synergistic doping and oxide shell protection synthesized by cation exchange conversion of ternary-composition nanoparticles
Q Di, X Zhu, J Liu, X Zhang, H Shang… - The Journal of …, 2019 - ACS Publications
The insertion of cation impurities into quantum dots (QDs) as a dopant has been proved to be
an efficient way to tailor their optical, electronic, and magnetic properties; however, the low …
an efficient way to tailor their optical, electronic, and magnetic properties; however, the low …
Research on Economic Impact of Restricted Online Shopping Analysis based on Deep Learning
X Zhu - Proceedings of the 2024 5th International Conference …, 2024 - dl.acm.org
E-commerce expansion and subsequent restrictions have significantly affect-ed consumer
behaviour and the global economy, especially in the situation of COVID-19. The effects of …
behaviour and the global economy, especially in the situation of COVID-19. The effects of …