Seminar

This work presents a novel algorithm for source localization based on Time Difference of Arrival (TDoA) measurements. We proposed a robust variant of the classic least-squares solution that improves the […]

As the world moves towards the new era of post-covid and new world order brought about by innovative industries and digital economy, Web3.0 serves as the social fabric in everybody's […]

Gate screening effect has been demonstrated to play a significant role in enhancing the carrier mobility of MOS-based thin-film transistors (TFTs) with high-k gate dielectrics. Typically, higher gate carrier concentration […]

This lecture will briefly overview use of queueing and optimization models to engineer circuit (telephone) and packet-switching networks. It will highlight use of distributed optimization theory, based on which the […]

Cancer is one of the most serious diseases that threaten human health. It is very urgent to develop advanced technology for cancer diagnosis and therapy. The traditional cancer therapy methods […]

“Be formless … shapeless, like water!”, which were the words used by Bruce Lee, as he was revealing the philosophy of Jeet Kune Do, the martial arts system Lee founded […]

Electrocatalysis has never been more important than today, with electrochemistry finding renewed interest in the future of renewable energy. Conventional evaluation of nanoparticular catalysts are based on macroscopic measurement of […]

3D object detection aims to categorize and localize objects from 3D sensor data  with many applications in autonomous driving, robotics, virtual reality, etc. Recently, this field has obtained remarkable advancements […]

Open-vocabulary scene understanding aims to localize and recognize unseen categories beyond the annotated label space. The recent breakthrough of 2D open-vocabulary perception is largely driven by Internet-scale paired image-text data […]

Data-driven control (DDC) is a control strategy that develops controllers from data for unknown systems, and it is increasingly popular in various research fields. DDC can be divided into indirect […]

Event-based vision represents a paradigm shift in how vision information is captured and processed. By only responding to dynamic intensity changes in the scene, event-based sensing produces far less data […]

Parallel imaging is widely used in clinical MRI to accelerate data acquisition or correct artifacts through the use of multiple receiving coils where each coil exhibits a unique spatial coil […]

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 […]