Search Results for author: Xin Xing

Found 14 papers, 5 papers with code

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion

no code implementations12 Jul 2024 Zhexiao Xiong, Xin Xing, Scott Workman, Subash Khanal, Nathan Jacobs

We introduce the task of mixed-view panorama synthesis, where the goal is to synthesize a novel panorama given a small set of input panoramas and a satellite image of the area.

LD-SDM: Language-Driven Hierarchical Species Distribution Modeling

no code implementations13 Dec 2023 Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs

Further, we propose a novel proximity-aware evaluation metric that enables evaluating species distribution models using any pixel-level representation of ground-truth species range map.

Language Modelling Large Language Model +1

Causality for Inherently Explainable Transformers: CAT-XPLAIN

1 code implementation29 Jun 2022 Subash Khanal, Benjamin Brodie, Xin Xing, Ai-Ling Lin, Nathan Jacobs

There have been several post-hoc explanation approaches developed to explain pre-trained black-box neural networks.

Binary Classification

Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks

no code implementations13 Oct 2020 Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu

Deep neural networks (DNNs) have become increasingly popular and achieved outstanding performance in predictive tasks.

Feature Importance feature selection

Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks

no code implementations ICLR 2020 Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu

Deep neural networks (DNNs) can be huge in size, requiring a considerable a mount of energy and computational resources to operate, which limits their applications in numerous scenarios.

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification

no code implementations27 Feb 2020 Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice.

Breast Cancer Detection Classification +1

Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms

no code implementations24 Feb 2020 Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney

In this article, we develop an asymptotic analysis to derive the distribution of RandNLA sampling estimators for the least-squares problem.

Two-sample testing

False Discovery Rate Control via Data Splitting

1 code implementation20 Feb 2020 Chenguang Dai, Buyu Lin, Xin Xing, Jun S. Liu

Selecting relevant features associated with a given response variable is an important issue in many scientific fields.

Methodology

Minimax Nonparametric Two-sample Test under Smoothing

no code implementations6 Nov 2019 Xin Xing, Zuofeng Shang, Pang Du, Ping Ma, Wenxuan Zhong, Jun S. Liu

Under such a framework, the probability density comparison is equivalent to testing the presence/absence of interactions.

Two-sample testing Vocal Bursts Valence Prediction

Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction

1 code implementation10 Jun 2019 Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du

The intuitions are that ads shown together may influence each other, clicked ads reflect a user's preferences, and unclicked ads may indicate what a user dislikes to certain extent.

Click-Through Rate Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.