7 accepted papers
The non-contact acoustic manipulation of particle clusters has great potential in various fields. However, current acoustic manipulation technologies for particle cluster manipulation primarily focus on aggregating particles to a specific shape, while morphological transformation of aggregated parti
Latent diffusion models have recently demonstrated superior capabilities in many downstream image synthesis tasks. However, customization of latent diffusion models using unauthorized data can severely compromise the privacy and intellectual property rights of data owners. Adversarial examples as p…
Noncontact manipulation of soft micro-fibers has great potential in advanced manufacturing, materials science, and biomedical engineering. However, current noncontact manipulation techniques primarily focus on objects with regular shapes, e.g., solid particles, cells, or droplets, with fewer solutio
Acoustic tweezers have been a valuable tool across various fields, from nano-microfabrication to biology. Their unique characteristics enable three-dimensional particle manipulation, where acoustic trapping serves as a fundamental requirement. However, traditional methods struggle to maintain steady
As an essential component of noncontact manipulation, acoustic manipulation has achieved great success in multidisciplinary research and applications. Although acoustic tweezers have made advancements in manipulating particles in air, handling individual particles with high precision in water remain
Non-contact particle cluster manipulation holds significant promise in the realms of advanced manufacturing, chemistry, and pharmacy. However, achieving precise and dynamic control over the spatial kinematics of particle clusters remains a significant challenge, necessitating real-time and accuratel
The density based clustering method Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a popular method for outlier recognition and has received tremendous attention from many different areas. A major issue of the original DBSCAN is that the time complexity could be as large as…