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Abstract: Optical microscopy has become an indispensable tool for biomedical research, owing to its noninvasive nature and subcellular resolution. However, current techniques require further refinement to accurately capture the complexity […]
Abstract: The rise of data-driven methods in robotics has significantly enhanced a robot's capacity for perception, reasoning, and acting. However, the challenge and expense of collecting a diverse dataset with […]
Speaker Dr. Shaohua MA Associate Professor, Institute of Biopharmaceutical and Health Engineering (iBHE), Tsinghua Shenzhen International Graduate School (SIGS) Abstract Organoids are three-dimensional micro-replicas of human organs in of human […]
Abstract: In the rapidly evolving field of generative artificial intelligence (GenAI) and AI-generated content (AIGC) services, generative diffusion models (GDMs) have garnered widespread attention due to their extensive application and […]
Abstract: In healthcare, the exponential growth of artificial Intelligence (AI) has led to the development of numerous advanced AI models for disease diagnosis and lesion segmentation, etc. Despite these advancements, […]
Abstract: We are witnessing an exponential growth of the impact of small-scale robotics in recent years. These tiny robots have a characteristic length from several millimetres down to hundreds of […]
Abstract: Uncertainty quantification plays a crucial role in electromagnetic compatibility and inference (EMC/EMI) in the field. Traditionally, methods such as the Monte Carlo method, stochastic Galerkin method, stochastic collocation, and […]
Abstract: The conventional GaN microdisk laser provides poor overlap between the whispering gallery modes (WGM) and the multi-quantum well (MQW) gain region. The thin-film microdisk structure was proposed to overcome […]
Speaker: Mr. Zhenrong LIU Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: Deep neural networks require the ability to continually learn and adapt to real-world conditions. […]
Speaker: Mr. Lin Qingfeng Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: A great amount of endeavour has recently been devoted to device activity detection in […]
Speaker: Mr. Wang Renxian Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: Ultrasound localization microscopy (ULM) has emerged as an unprecedented noninvasive microvascular imaging technique that […]
Meeting ID: 972 6774 1607 Abstract: The robotics industry has manufactured multiple successful robots that are deployed in various domains and have been playing a significant role in the modern economy. […]
Meeting ID: 957 7820 8166 Password: 631839 Speaker: Mr. Weibin KOU Department of Electrical and Electronic Engineering, The University of Hong Kong Abstract: In this seminar, I will present the […]
Abstract: Enormous amounts of data are generated by billions of edge devices in mobile networks. Distributed data analytics can support a broad range of mobile applications, from edge AI to […]
Abstract: Although considerable progress has been obtained in neural network quantization for efficient inference, existing methods are not scalable to heterogeneous devices as one dedicated model needs to be trained, […]
Meeting ID: 958 6149 4641 Password: 505358 Abstract: Recent advances in medical image segmentation models combine convolution with the attention mechanism which provides an effective approach to formulate long-term dependencies. […]
Meeting ID: 990 0206 5927 Password: 585304 Abstract: The instrumental variable pseudolinear Kalman filter (IV-PLKF) algorithm, used for 3D angle-of-arrival (AOA) target tracking, has been proven to be more robust […]
Abstract Manual annotation of 3D point clouds is notoriously labor-intensive, prompting the need for automated solutions. Existing automated annotation methods, however, are typically complex and may neglect the crucial inter-object […]
Meeting ID: 892 6022 4678 Password: n9QxYg Abstract In recent years, attention-based models, particularly those employing the transformer structure, have exhibited exceptional performance in tasks such as natural language processing, […]
Abstract Recently deep learning methods have gained groundbreaking success in many areas, including autonomous driving and 3D object detection. Powerful neural networks are proposed and yield human-comparable ability after being […]