Seminar

Recent development of ultra-low-field (ULF) MRI presents opportunities for low-power, EMI shielding-free, and portable clinical applications of MRI. However, the imaging performance of these emerging ULF MRI scanners remains limited […]

In recent years, there has been an intensive development of portable ultralow-field magnetic resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications. However, its quality is poor and scan time […]

Superconductors can potentially be used in electrical machines in future electric aircraft, since superconductors can increase the power density of electrical machines. When superconductors are carrying ac or are subject […]

Federated learning (FL) inevitably confronts the challenge of system heterogeneity in practical scenarios. To enhance the capabilities of most model-homogeneous FL methods in handling system heterogeneity, we propose a training […]

Existing methods for adapting Neural Radiance Fields (NeRFs) to scene changes require extensive data capture and model retraining, which is both time-consuming and labor-intensive. In this paper, we tackle the […]

Rapid advancements in 3D vision-language (3D-VL) tasks, such as 3D Visual Question Answering (3D-VQA) and 3D Visual Grounding (3D-VG), have opened up new avenues for human interaction with embodied agents […]

Moire patterns, appearing as color distortions, severely degrade the image and video qualities when filming a screen with digital cameras. Considering the increasing demands for capturing videos, we study how […]

Resting-state fMRI (rsfMRI) has emerged as the most valuable, non-invasive imaging technique to map long-range, brain-wide functional connectivity networks. Recently, dynamic rsfMRI network segregation and integration have been shown to […]

Arrays, graphs, and point sets are fundamental data organization forms in mathematics, with significant applications in scientific computing and engineering problems like signal processing, molecular discovery, and 3D vision. However, […]

Morphological profiling in imaging microscopy can reveal biological cells characteristics. However, current image-based assay relays heavily on costly and extensive amount of fluorescent antibodies and is limited by the trade-off […]

Quantitative phase and polarization microscope (QPPI) is a useful label-free microscopic tool in revealing the quantitative biophysical information of cells, such as cell shape, dry mass and their subcellular distribution. […]

Optimization problems subject to hard constraints are common in time-critical applications such as autonomous driving and wireless communication. However, existing iterative solvers often face difficulties in solving these problems in […]

Since 2019, reconfigurable intelligent surface (RIS) has attracted a lot of interests from both academia and industry. In this talk, Professor Jie Zhang will first introduce their pioneering work on […]

Nowadays, there is a large effort to find a monolithic solution for photonics and electronics. The main purpose is to integrate materials which have high carrier mobility and high photonic […]

Micro-printing is a good way to manufacture patterning structures in modern manufacture, which has been widely used in fields, e.g. micro-LED display, benefiting from the high material utilization. The electrohydrodynamic […]

Fiber lasers have been known as compact and robust laser sources. When operating in the femtosecond-pulse regime with high repetition rates (HRRs), particularly at a level of GHz, they open […]

As an essential part of intelligent manufacturing, R & D, fabricating, and application of robots become the important manifestation to show the national scientific and technological innovation ability as well […]

With deeper and deeper penetration of variable renewable energy sources (RES) and distributed energy resources (DER) across the world, new challenges are emerging in terms of their grid and market […]

Artificial Intelligence (AI) is catalyzing a paradigm shift in healthcare, promising to reshape the landscape of patient care. At the heart of this transformation is medical imaging, where AI-enabled technologies […]

Trustworthy machine learning is one of emerging and critical topics in modern machine learning, since most real-world data are easily imperfect, such as online transactions, healthcare, cyber-security, and robotics. Intuitively, […]