Search Results for author: Xue Zhang

Found 9 papers, 1 papers with code

Manifold Graph Signal Restoration using Gradient Graph Laplacian Regularizer

no code implementations9 Jun 2022 Fei Chen, Gene Cheung, Xue Zhang

For manifold graphs without explicit latent coordinates, we propose a fast parameter-free spectral method to first compute latent space coordinates for graph nodes based on generalized eigenvectors.

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation

no code implementations NAACL 2022 Siyu Lai, Zhen Yang, Fandong Meng, Xue Zhang, Yufeng Chen, Jinan Xu, Jie zhou

Generating adversarial examples for Neural Machine Translation (NMT) with single Round-Trip Translation (RTT) has achieved promising results by releasing the meaning-preserving restriction.

Machine Translation Translation

Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding

no code implementations15 Dec 2021 Fei Chen, Gene Cheung, Xue Zhang

Experiments show that our embedding is among the fastest in the literature, while producing the best clustering performance for manifold graphs.

Graph Embedding

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement

no code implementations9 Nov 2021 Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan

Specifically, we model depth formation as a combined process of signal-dependent noise addition and non-uniform log-based quantization.

Graph Learning Image Denoising +1

FocusNet: Classifying Better by Focusing on Confusing Classes

1 code implementation14 Oct 2021 Xue Zhang, Zehua Sheng, Hui-Liang Shen

We also introduce a novel focus-picking loss function to improve classification accuracy by encouraging FocusNet to focus on the most confusing classes.

Classification Knowledge Distillation

Battery characterization via eddy-current imaging with nitrogen-vacancy centers in diamond

no code implementations22 Feb 2021 Xue Zhang, Georgios Chatzidrosos, Yinan Hu, Huijie Zheng, Arne Wickenbrock, Alexej Jerschow, Dmitry Budker

Sensitive and accurate diagnostic technologies with magnetic sensors are of great importance for identifying and localizing defects of rechargeable solid batteries in a noninvasive detection.

Applied Physics

Fast & Robust Image Interpolation using Gradient Graph Laplacian Regularizer

no code implementations25 Jan 2021 Fei Chen, Gene Cheung, Xue Zhang

In the graph signal processing (GSP) literature, it has been shown that signal-dependent graph Laplacian regularizer (GLR) can efficiently promote piecewise constant (PWC) signal reconstruction for various image restoration tasks.

Image Restoration

DeepHE: Accurately Predicting Human Essential Genes based on Deep Learning

no code implementations15 Feb 2020 Xue Zhang, Wangxin Xiao, Weijia Xiao

Results: We proposed a deep learning based method, DeepHE, to predict human essential genes by integrating features derived from sequence data and protein-protein interaction (PPI) network.

BIG-bench Machine Learning Drug Discovery +1

How to Train Triplet Networks with 100K Identities?

no code implementations9 Sep 2017 Chong Wang, Xue Zhang, Xipeng Lan

However, as the number of identities becomes extremely large, the training will suffer from bad local minima because effective hard triplets are difficult to be found.

Face Recognition Image Retrieval

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