arXiv subjects

Xuliang Deng

Publications and source records attributed to Xuliang Deng.

3 recordsLinked to original sources

arXiv2026

Observing the Relationship between QoS Unpredictability, Prediction Error, and User Activity in a Remote Desktop Service

With the increasing need for remote work, especially since the COVID-19 era, Remote Desktop Services (RDS) have become widely used. Because interactive RDS usage depends heavily on communication quality, some studies have investigated the relationship between QoS metrics and user activity in RDS. However, these works have een conducted in experimental environments, where the number of samples is limited and may not reflect real-world usage. Consequently, the relationship between temporal fluctuations in QoS and user activity remains underexplored. This paper investigates the relationship between QoS statistics and user activity using real-world usage logs of an RDS, Thin-Telework System. We analyze time-series data of round-trip time (RTT), the number of sent packets, and the number of received bytes per user. Notably, we find that not only the average RTT but also its temporal fluctuation (e.g., standard deviation over time) and its instantaneous deviation from the mean are significantly associated with user activity. From the users' perspective, these features correspond to QoS unpredictability and the prediction error, respectively, and may provide insights into psychological mechanisms underlying user behavior.

cs.NI↗

arXiv2023

Frequency Domain Decomposition Translation for Enhanced Medical Image Translation Using GANs

Medical Image-to-image translation is a key task in computer vision and generative artificial intelligence, and it is highly applicable to medical image analysis. GAN-based methods are the mainstream image translation methods, but they often ignore the variation and distribution of images in the frequency domain, or only take simple measures to align high-frequency information, which can lead to distortion and low quality of the generated images. To solve these problems, we propose a novel method called frequency domain decomposition translation (FDDT). This method decomposes the original image into a high-frequency component and a low-frequency component, with the high-frequency component containing the details and identity information, and the low-frequency component containing the style information. Next, the high-frequency and low-frequency components of the transformed image are aligned with the transformed results of the high-frequency and low-frequency components of the original image in the same frequency band in the spatial domain, thus preserving the identity information of the image while destroying as little stylistic information of the image as possible. We conduct extensive experiments on MRI images and natural images with FDDT and several mainstream baseline models, and we use four evaluation metrics to assess the quality of the generated images. Compared with the baseline models, optimally, FDDT can reduce Fréchet inception distance by up to 24.4%, structural similarity by up to 4.4%, peak signal-to-noise ratio by up to 5.8%, and mean squared error by up to 31%. Compared with the previous method, optimally, FDDT can reduce Fréchet inception distance by up to 23.7%, structural similarity by up to 1.8%, peak signal-to-noise ratio by up to 6.8%, and mean squared error by up to 31.6%.

eess.IV↗

arXiv2022

The Growth of Passive Membranes: Evidence from Ti and Like Metals

Current contradictory understanding of passivation comes from overly-complex passive models, defective characterization and misplaced theoretical approaches. From brand-new experimentation, we find that a Ti passive membrane has spatiotemporally-ordered macrostructure. At the start, a thermodynamically-stable chemisorbed Ti-O monolayer is immediately formed to inactivate the outmost Ti atoms and shield direct reaction of environmental oxygens on metallic matrix, and then an underneath TiOx@Ti ceramet-like non-equilibrium gradient oxide layer rapidly forms. The two layers work synergistically to keep the macro-ordered passive membrane growing slowly via non-linear mechanism of incremental oxidation damping, thus effecting passivation. These findings disprove "the adsorption theory of passivation" and "the theory of passivity film" and inform a new theory we call "passivation theory of incremental oxidation damping".

cond-mat.mtrl-sci↗