Search Results for author: Xiao Huang

Found 54 papers, 23 papers with code

STW-MD: A Novel Spatio-Temporal Weighting and Multi-Step Decision Tree Method for Considering Spatial Heterogeneity in Brain Gene Expression Data

1 code implementation18 Oct 2023 Shanjun Mao, Xiao Huang, Runjiu Chen, Chenyang Zhang, Yizhu Diao, Zongjin Li, Qingzhe Wang, Shan Tang, Shuixia Guo

Motivation: Gene expression during brain development or abnormal development is a biological process that is highly dynamic in spatio and temporal.

Composite Quantile Factor Models

1 code implementation4 Aug 2023 Xiao Huang

This paper introduces the method of composite quantile factor model for factor analysis in high-dimensional panel data.

Collaborative Graph Neural Networks for Attributed Network Embedding

1 code implementation22 Jul 2023 Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu

Graph neural networks (GNNs) have shown prominent performance on attributed network embedding.

Network Embedding

Towards Personalized Cold-Start Recommendation with Prompts

1 code implementation29 Jun 2023 Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu

Recommender systems play a crucial role in helping users discover information that aligns with their interests based on their past behaviors.

Recommendation Systems Sentiment Analysis

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

1 code implementation18 Jun 2023 Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang

In this paper, we base on the phenomenon and propose a general and novel research problem of generalized graph anomaly detection that aims to effectively identify anomalies on both the training-domain graph and unseen testing graph to eliminate potential dangers.

Data Augmentation Graph Anomaly Detection

DeepMerge: Deep Learning-Based Region-Merging for Image Segmentation

no code implementations31 May 2023 Xianwei Lv, Claudio Persello, Xiao Huang, Dongping Ming, Alfred Stein

Accurate segmentation of large areas from very high spatial-resolution (VHR) remote sensing imagery remains a challenging issue in image analysis.

Image Segmentation Segmentation +1

Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking

no code implementations29 Apr 2023 Hanyu Sun, Xiao Huang, Wei Ma

In this paper, we first time propose an on-street parking recommendation (OPR) task to directly recommend a parking space for a driver.

RCDT: Relational Remote Sensing Change Detection with Transformer

no code implementations9 Dec 2022 Kaixuan Lu, Xiao Huang

The proposed RCDT consists of three major components, a weight-sharing Siamese Backbone to obtain bi-temporal features, a Relational Cross Attention Module (RCAM) that implements offset cross attention to obtain bi-temporal relation-aware features, and a Features Constrain Module (FCM) to achieve the final refined predictions with high-resolution constraints.

Change Detection

Contrastive Knowledge Graph Error Detection

1 code implementation18 Nov 2022 Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu

To this end, we propose a novel framework - ContrAstive knowledge Graph Error Detection (CAGED).

Contrastive Learning

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks

no code implementations9 Nov 2022 Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu

Quantum neural networks (QNNs), an interdisciplinary field of quantum computing and machine learning, have attracted tremendous research interests due to the specific quantum advantages.

Boosted p-Values for High-Dimensional Vector Autoregression

no code implementations4 Nov 2022 Xiao Huang

Assessing the statistical significance of parameter estimates is an important step in high-dimensional vector autoregression modeling.

Time Series Time Series Analysis +2

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations

no code implementations19 Oct 2022 Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu

To this end, we propose Randomized Sparse Computation, which for the first time demonstrate the potential of training GNNs with approximated operations.

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations

no code implementations25 Sep 2022 Hao Chen, Zefan Wang, Yue Xu, Xiao Huang, Feiran Huang

State-of-the-art solutions rely on training hybrid models for both cold-start and existing users/items, based on the auxiliary information.

Recommendation Systems

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

1 code implementation21 Sep 2022 Shuang Zhou, Xiao Huang, Ninghao Liu, Fu-Lai Chung, Long-Kai Huang

In this paper, we base on the phenomenon and propose a general and novel research problem of generalized graph anomaly detection that aims to effectively identify anomalies on both the training-domain graph and unseen testing graph to eliminate potential dangers.

Data Augmentation Graph Anomaly Detection

Graph Contrastive Learning with Personalized Augmentation

no code implementations14 Sep 2022 Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li

Thus, blindly augmenting all graphs without considering their individual characteristics may undermine the performance of GCL arts. To deal with this, we propose the first principled framework, termed as \textit{G}raph contrastive learning with \textit{P}ersonalized \textit{A}ugmentation (GPA), to advance conventional GCL by allowing each graph to choose its own suitable augmentation operations. In essence, GPA infers tailored augmentation strategies for each graph based on its topology and node attributes via a learnable augmentation selector, which is a plug-and-play module and can be effectively trained with downstream GCL models end-to-end.

Contrastive Learning Data Augmentation

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

1 code implementation5 May 2022 Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

Specifically, these works propose to accumulate meta-knowledge across diverse meta-training tasks, and then generalize such meta-knowledge to the target task with a disjoint label set.

Few-Shot Learning Graph Classification

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

no code implementations7 Jan 2022 Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu

We introduce a novel masked graph autoencoder (MGAE) framework to perform effective learning on graph structure data.

Link Prediction Node Classification +1

Lassoed Boosting and Linear Prediction in Equities Market

no code implementations16 Dec 2021 Xiao Huang

We consider a two-stage estimation method for linear regression that uses the lasso in Tibshirani (1996) to screen variables and re-estimate the coefficients using the least-squares boosting method in Friedman (2001) on every set of selected variables.


Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping

no code implementations24 Aug 2021 Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu

The integrated results combined both the characteristic of UAV and mobile mapping vehicle point cloud, confirming the practicability of the proposed joint data acquisition platform and the effectiveness of spatio-temporal-spectral-angular observation model.

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

1 code implementation NeurIPS 2021 Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

To this end, we analyze the bottleneck of deep GNNs by leveraging the Dirichlet energy of node embeddings, and propose a generalizable principle to guide the training of deep GNNs.

GLSD: The Global Large-Scale Ship Database and Baseline Evaluations

1 code implementation5 Jun 2021 Zhenfeng Shao, JiaMing Wang, Lianbing Deng, Xiao Huang, Tao Lu, Fang Luo, Ruiqian Zhang, Xianwei Lv, Chaoya Dang, Qing Ding, Zhiqiang Wang

In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks.

object-detection Object Detection

Pan-sharpening via High-pass Modification Convolutional Neural Network

1 code implementation24 May 2021 JiaMing Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma

Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose a novel pan-sharpening convolutional neural network based on a high-pass modification block.

Vocal Bursts Intensity Prediction

SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising

no code implementations23 May 2021 Zhiqiang Wang, Zhenfeng Shao, Xiao Huang, JiaMing Wang, Tao Lu, Sihang Zhang

In this study, we propose a novel HSI denoising network, termed SSCAN, that combines group convolutions and attention modules.

Hyperspectral Image Denoising Image Denoising

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

1 code implementation8 May 2021 JiaMing Wang, Zhenfeng Shao, Tao Lu, Xiao Huang, Ruiqian Zhang, Yu Wang

Despite their success, however, low/high spatial resolution pairs are usually difficult to obtain in satellites with a high temporal resolution, making such approaches in SR impractical to use.


Monitoring urban ecosystem service value using dynamic multi-level grids

no code implementations15 Apr 2021 Zhenfeng Shao, Yong Li, Xiao Huang, Bowen Cai, Lin Ding, Wenkang Pan, Ya zhang

Ecosystem valuation is a method of assigning a monetary value to an ecosystem with its goods and services, often referred to as ecosystem service value (ESV).


Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases

no code implementations3 Mar 2021 Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden geographical patterns to be extracted.

Model Selection

A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds

no code implementations1 Mar 2021 Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang

Robust and accurate detection of small moving targets in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform search and tracking tasks.

A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds

no code implementations1 Mar 2021 Xiao Huang, Hong Qiao, Hui Li, Zhihong Jiang

Rapid, accurate and robust detection of looming objects in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform collision detection and avoidance tasks.

Decision Making

Dynamic Memory based Attention Network for Sequential Recommendation

1 code implementation18 Feb 2021 Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

It segments the overall long behavior sequence into a series of sub-sequences, then trains the model and maintains a set of memory blocks to preserve long-term interests of users.

Sequential Recommendation

Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data

1 code implementation8 Feb 2021 Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Martin Yago, Huan Ning, Michael E. Hodgson, Xiaoming Li

In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement.

Social and Information Networks

Uniqueness of Meromorphic Functions With Respect To Their Shifts Concerning Derivatives

no code implementations17 Sep 2020 Xiao Huang

An example in the article shows that the first derivative of $f(z)=\frac{2}{1-e^{-2z}}$ sharing $0$ CM and $1,\infty$ IM with its shift $\pi i$ cannot obtain they are equal.

Complex Variables 30D35

Local Composite Quantile Regression for Regression Discontinuity

no code implementations8 Sep 2020 Xiao Huang, Zhaoguo Zhan

We introduce the local composite quantile regression (LCQR) to causal inference in regression discontinuity (RD) designs.

Causal Inference regression

Simulating multi-exit evacuation using deep reinforcement learning

no code implementations11 Jul 2020 Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li

We propose a multi-exit evacuation simulation based on Deep Reinforcement Learning (DRL), referred to as the MultiExit-DRL, which involves in a Deep Neural Network (DNN) framework to facilitate state-to-action mapping.

reinforcement-learning Reinforcement Learning (RL)

A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming

no code implementations26 Jun 2020 Xiaoming Li, Chun Wang, Xiao Huang, Yimin Nie

To fill the gap, in this work, we propose an innovative data-driven dynamic stochastic programming (DD-DSP) framework for time-series decision-making problem, which involves three components: GRU, Gaussian Mixture Model (GMM) and SP.

Decision Making Time Series +1

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

1 code implementation NeurIPS 2020 Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu

Graph neural networks (GNNs), which learn the representation of a node by aggregating its neighbors, have become an effective computational tool in downstream applications.

Teaching Machine Comprehension with Compositional Explanations

2 code implementations Findings of the Association for Computational Linguistics 2020 Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren

Advances in machine reading comprehension (MRC) rely heavily on the collection of large scale human-annotated examples in the form of (question, paragraph, answer) triples.

Data Augmentation Machine Reading Comprehension

Translating multispectral imagery to nighttime imagery via conditional generative adversarial networks

no code implementations28 Dec 2019 Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang

The results of this study prove the possibility of multispectral-to-nighttime translation and further indicate that, with the additional social media data, the generated nighttime imagery can be very similar to the ground-truth imagery.


Multi-Channel Graph Convolutional Networks

no code implementations17 Dec 2019 Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu

To further improve the graph representation learning ability, hierarchical GNN has been explored.

Clustering Graph Classification +1

Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling

1 code implementation ACL 2020 Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren

Its performance is largely influenced by the annotation quality and quantity in supervised learning scenarios, and obtaining ground truth labels is often costly.

A Multimodal Vision Sensor for Autonomous Driving

no code implementations15 Aug 2019 Dongming Sun, Xiao Huang, Kailun Yang

This paper describes a multimodal vision sensor that integrates three types of cameras, including a stereo camera, a polarization camera and a panoramic camera.

Autonomous Driving Semantic Segmentation

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks

no code implementations11 Aug 2019 Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou

SpecAE leverages Laplacian sharpening to amplify the distances between representations of anomalies and the ones of the majority.

Anomaly Detection Density Estimation

Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors

2 code implementations14 May 2019 Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai

The panoramic annular images captured by the single camera are processed and fed into the NetVLAD network to form the active deep descriptor, and sequential matching is utilized to generate the localization result.

Autonomous Vehicles Camera Localization +2

Multi-Label Adversarial Perturbations

no code implementations2 Jan 2019 Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu

Experiments on real-world multi-label image classification and ranking problems demonstrate the effectiveness of our proposed frameworks and provide insights of the vulnerability of multi-label deep learning models under diverse targeted attacking strategies.

General Classification Multi-class Classification +3

A General Multi-agent Epistemic Planner Based on Higher-order Belief Change

1 code implementation29 Jun 2018 Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu

Based on our reasoning, revision and update algorithms, adapting the PrAO algorithm for contingent planning from the literature, we implemented a multi-agent epistemic planner called MEPK.

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