We leverage an exogenous shock—the crackdown on corrupt Chinese officials beginning in 2012—and examine how the allocation of research subsidies and innovative outcomes were affected. We argue …
We have recently proposed a framework of in vivo computation (IVC) which transforms the early tumor sensing problem into a computational problem. In the framework, a tumor-triggered biological grad…
In the literature of mitigating unfairness in machine learning (ML), many fairness measures are designed to evaluate predictions of learning models and also utilized to guide the training of fair m…
With the development of information technology, optical access network gradually presents the characteristics of multi-domain, multi-layer and multi-vendor. The network slicing technology provides …
With the advent of the era of the 5th generation fixed networks (F5G), some bandwidth-hungry services such as 4K/8K video, telemedicine, and virtual reality (VR) gaming are emerging, which will bri…
As one of the candidate technologies for 6G mobile system, integrated sensing and communication (ISAC) can support the mobile network evolving from the communication-only network to the multi-funct…
The objective reduction has been regarded as a basic issue in many-objective optimization. Existing objective reduction methods identify one set of essential objectives using an approximate nondomi…
Recent learning-based intrinsic image decomposition methods have achieved remarkable progress. However, they usually require massive ground truth intrinsic images for supervised learning, which lim…
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable result…