1 code implementation • 18 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.
no code implementations • 15 Oct 2023 • Xiaoming Li, Hubert Normandin-Taillon, Chun Wang, Xiao Huang
This will lead to the forecasting result severely deviating from the true demand value due to the high volatility existing in demand.
1 code implementation • 4 Aug 2023 • Xiao Huang
This paper introduces the method of composite quantile factor model for factor analysis in high-dimensional panel data.
1 code implementation • 22 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.
1 code implementation • 29 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.
1 code implementation • 18 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.
no code implementations • 31 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.
no code implementations • 29 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.
no code implementations • 20 Dec 2022 • Cameron Diao, Kaixiong Zhou, Zirui Liu, Xiao Huang, Xia Hu
Recently, the training paradigm of "pre-train, fine-tune" has been leveraged to improve the generalization capabilities of GNNs.
no code implementations • 9 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.
1 code implementation • 18 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).
no code implementations • 9 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.
no code implementations • 4 Nov 2022 • Xiao Huang
Assessing the statistical significance of parameter estimates is an important step in high-dimensional vector autoregression modeling.
no code implementations • 19 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.
no code implementations • 25 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.
1 code implementation • 21 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.
no code implementations • 14 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.
1 code implementation • SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2022 Pages 2565–2571 2022 • Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li Authors Info & Claims
Embedding-based recommendation models provide recommendations by learning embeddings for each user and item from historical interactions.
1 code implementation • 5 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.
no code implementations • 7 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.
no code implementations • 16 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.
1 code implementation • Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 • Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
It aims to detect nodes that significantly deviate from their corresponding background.
no code implementations • 24 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.
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.
1 code implementation • 5 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.
1 code implementation • 24 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.
no code implementations • 23 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.
1 code implementation • 8 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.
no code implementations • 15 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).
no code implementations • 3 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.
no code implementations • 1 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.
no code implementations • 1 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.
1 code implementation • 18 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.
1 code implementation • 8 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
no code implementations • 7 Oct 2020 • Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brungel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Ruckert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank
DFUC2020 provided participants with a comprehensive dataset consisting of 2, 000 images for training and 2, 000 images for testing.
no code implementations • 17 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
no code implementations • 8 Sep 2020 • Xiao Huang, Zhaoguo Zhan
We introduce the local composite quantile regression (LCQR) to causal inference in regression discontinuity (RD) designs.
no code implementations • 11 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.
no code implementations • 26 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.
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.
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.
1 code implementation • ACL 2020 • Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren
In this paper, we introduce "entity triggers," an effective proxy of human explanations for facilitating label-efficient learning of NER models.
no code implementations • 20 Jan 2020 • Xiaoming Li, Chun Wang, Xiao Huang
Car-sharing issue is a popular research field in sharing economy.
no code implementations • 28 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.
no code implementations • 17 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.
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.
1 code implementation • CONLL 2019 • Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng
Named entity recognition (NER) identifies typed entity mentions in raw text.
Ranked #1 on
Named Entity Recognition
on NCBI-disease
no code implementations • 20 Sep 2019 • Xiaoming Li, Chun Wang, Xiao Huang
Car-sharing problem is a popular research field in sharing economy.
no code implementations • 7 Sep 2019 • Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
First, the search space of GNN is different from the ones in existing NAS work.
Ranked #37 on
Node Classification
on Cora
no code implementations • 15 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.
no code implementations • 11 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.
2 code implementations • 14 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.
no code implementations • 2 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.
1 code implementation • 29 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.