Zobrazeno 1 - 10
of 1 909
pro vyhledávání: '"WU, YUFENG"'
Autor:
Wu, Yufeng, Bhattacharya, Rohit
A key question in many network studies is whether the observed correlations between units are primarily due to contagion or latent confounding. Here, we study this question using a segregated graph (Shpitser, 2015) representation of these mechanisms,
Externí odkaz:
http://arxiv.org/abs/2411.01371
In the rapid advancement of artificial intelligence, privacy protection has become crucial, giving rise to machine unlearning. Machine unlearning is a technique that removes specific data influences from trained models without the need for extensive
Externí odkaz:
http://arxiv.org/abs/2410.23693
Let $\{a_n\}_{n\in\mathbb{N}}$, $\{b_n\}_{n\in \mathbb{N}}$ be two infinite subsets of positive integers and $\psi:\mathbb{N}\to \mathbb{R}_{>0}$ be a positive function. We completely determine the Hausdorff dimensions of the set of all points $(x,y)
Externí odkaz:
http://arxiv.org/abs/2409.18635
Autor:
Wu, Yufeng, Zhang, Louxin
Reconstructing a parsimonious phylogenetic network that displays multiple phylogenetic trees is an important problem in theory of phylogenetics, where the complexity of the inferred networks is measured by reticulation numbers. The reticulation numbe
Externí odkaz:
http://arxiv.org/abs/2408.14202
Autor:
Jain, Divij, Kher, Saatvik, Liang, Lena, Wu, Yufeng, Zheng, Ashley, Cai, Xizhen, Plantinga, Anna, Upton, Elizabeth
We propose a machine learning pipeline for forensic shoeprint pattern matching that improves on the accuracy and generalisability of existing methods. We extract 2D coordinates from shoeprint scans using edge detection and align the two shoeprints wi
Externí odkaz:
http://arxiv.org/abs/2405.14878
Autor:
Sivakumar, Pranava K., Ahari, Mostafa T., Kim, Jae-Keun, Wu, Yufeng, Dixit, Anvesh, de Coster, George J., Pandeya, Avanindra K., Gilbert, Matthew J., Parkin, Stuart S. P.
Superconducting diode effects have recently attracted much attention for their potential applications in superconducting logic circuits. Several mechanisms such as magneto-chiral effects, finite momentum Cooper pairing, asymmetric edge currents have
Externí odkaz:
http://arxiv.org/abs/2403.19445
Reinforcement learning is an emerging approaches to facilitate multi-stage sequential decision-making problems. This paper studies a real-time multi-stage stochastic power dispatch considering multivariate uncertainties. Current researches suffer fro
Externí odkaz:
http://arxiv.org/abs/2401.12235
Exploration of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues
In contemporary society, the escalating pressures of life and work have propelled psychological disorders to the forefront of modern health concerns, an issue that has been further accentuated by the COVID-19 pandemic. The prevalence of depression am
Externí odkaz:
http://arxiv.org/abs/2401.03171
Parametric down-conversion is a widely exploited technique in optics to produce entangled states of photons for quantum information processing and quantum sensing. In the microwave domain, devices based on Josephson junctions, such as Josephson param
Externí odkaz:
http://arxiv.org/abs/2308.02109
Superconducting microwave amplifiers are essential for sensitive signal readout in superconducting quantum processors. Typically based on Josephson Junctions, these amplifiers require operation at milli-Kelvin temperatures to achieve quantum-limited
Externí odkaz:
http://arxiv.org/abs/2308.02106