1 code implementation • 27 Dec 2023 • Xiao Fang, Xin Gao, Baofeng Li, Feng Zhai, Yu Qin, Zhihang Meng, Jiansheng Lu, Chun Xiao
Low-light image enhancement aims to improve the perception of images collected in dim environments and provide high-quality data support for image recognition tasks.
no code implementations • 18 Sep 2023 • Xiao Fang, Shangkun Che, Minjia Mao, Hongzhe Zhang, Ming Zhao, Xiaohang Zhao
We then apply each examined LLM to generate news content with headlines of these news articles as prompts, and evaluate the gender and racial biases of the AIGC produced by the LLM by comparing the AIGC and the original news articles.
no code implementations • 31 Jul 2023 • Hongzhe Zhang, Xiaohang Zhao, Xiao Fang, Bintong Chen
Prior resource management research for disaster response overlooks the problem of deciding optimal quantities of resources requested by a local agency.
1 code implementation • 1 May 2023 • Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
Medical image segmentation is a fundamental task in the community of medical image analysis.
no code implementations • 23 Mar 2023 • Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
Recently, the advent of vision Transformer (ViT) has brought substantial advancements in 3D dataset benchmarks, particularly in 3D volumetric medical image segmentation (Vol-MedSeg).
no code implementations • 8 Nov 2022 • Jiaheng Xie, Xiaohang Zhao, Xiang Liu, Xiao Fang
To connect human expertise in the decision-making, safeguard trust for this high-stake prediction, and ensure algorithm transparency, we develop an interpretable deep learning model: Temporal Prototype Network (TempPNet).
no code implementations • 11 Sep 2022 • Xiaohang Zhao, Xiao Fang, Jing He, Lihua Huang
To address the limitations of existing methods, we propose a novel deep learning-based method that not only seamlessly integrates the three types of knowledge for industry assignment but also takes the time-specificity of assignment-based knowledge into account.
no code implementations • 29 Aug 2022 • Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang song
Customer Life Time Value (LTV) is the expected total revenue that a single user can bring to a business.
no code implementations • 21 May 2022 • Kexin Yin, Xiao Fang, Bintong Chen, Olivia Sheng
Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications.
no code implementations • 11 Feb 2022 • Xiao Fang, Malay Ghosh
Statistical modeling and inference problems with sample sizes substantially smaller than the number of available covariates are challenging.
no code implementations • 15 Dec 2021 • Xiao Han, Leye Wang, Junjie Wu, Xiao Fang
In response, we propose FedValue, a privacy-preserving, task-specific but model-free data valuation method for VFL, which consists of a data valuation metric and a federated computation method.
2 code implementations • 9 Apr 2020 • Xiao Fang, Tim Eifler, Elisabeth Krause
In this paper, we introduce a 2D-FFTLog algorithm for efficient, accurate and numerically stable computation of non-Gaussian real space covariances.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
5 code implementations • 27 Nov 2019 • Xiao Fang, Elisabeth Krause, Tim Eifler, Niall MacCrann
We present a new method based on our generalized FFTLog algorithm for the efficient computation of angular power spectra beyond the Limber approximation.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 16 Aug 2019 • Guannan Liu, Liang Zhang, Junjie Wu, Xiao Fang
Specifically, eRAN first maps items connected in attribute networks to low-dimensional embedding vectors through a deep autoencoder, and then an attention mechanism is applied to model the attractions of attributes to users, from which personalized item representation can be derived.
no code implementations • 12 Sep 2017 • Yan Zhao, Xiao Fang, David Simchi-Levi
The problem of constructing such models from randomized experiments data is known as Uplift Modeling in the literature.
2 code implementations • 30 Aug 2017 • Jonathan Blazek, Niall MacCrann, M. A. Troxel, Xiao Fang
We include terms up to second order in the density and tidal fields and calculate the resulting IA contributions to two-point statistics at one-loop order.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
2 code implementations • 23 May 2017 • Yan Zhao, Xiao Fang, David Simchi-Levi
It is impossible to know whether the chosen treatment is optimal for an individual subject because response under alternative treatments is unobserved.
2 code implementations • 20 Sep 2016 • Xiao Fang, Jonathan A. Blazek, Joseph E. McEwen, Christopher M. Hirata
Cosmological perturbation theory is a powerful tool to predict the statistics of large-scale structure in the weakly non-linear regime, but even at 1-loop order it results in computationally expensive mode-coupling integrals.
Cosmology and Nongalactic Astrophysics
2 code implementations • 15 Mar 2016 • Joseph E. McEwen, Xiao Fang, Christopher M. Hirata, Jonathan A. Blazek
We present a novel algorithm, FAST-PT, for performing convolution or mode-coupling integrals that appear in nonlinear cosmological perturbation theory.
Cosmology and Nongalactic Astrophysics