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Xin Liu
ORCID
Publication Activity (10 Years)
Years Active: 2009-2024
Publications (10 Years): 66
Top Topics
Betweenness Centrality
Incremental Learning
Graph Embedding
Point Cloud
Top Venues
CoRR
IEEE Access
CIKM
Mach. Learn.
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Publications
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Quentin Jodelet
,
Xin Liu
,
Yin Jun Phua
,
Tsuyoshi Murata
Future-Proofing Class Incremental Learning.
CoRR
(2024)
Ruidong Jin
,
Xin Liu
,
Tsuyoshi Murata
Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs.
Mach. Learn.
113 (4) (2024)
Tai Hasegawa
,
Sukwon Yun
,
Xin Liu
,
Yin Jun Phua
,
Tsuyoshi Murata
DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise.
PAKDD (2)
(2024)
Yao Wang
,
Xin Liu
,
Wei Kun Kong
,
Haitao Yu
,
Teeradaj Racharak
,
Kyoung-Sook Kim
,
Nguyen Le Minh
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations.
IEEE Access
12 (2024)
Yao Wang
,
Xin Liu
,
Weikun Kong
,
Hai-Tao Yu
,
Teeradaj Racharak
,
Kyoung-Sook Kim
,
Le-Minh Nguyen
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations.
CoRR
(2024)
Wei Kun Kong
,
Xin Liu
,
Teeradaj Racharak
,
Guanqun Sun
,
Jianan Chen
,
Qiang Ma
,
Le-Minh Nguyen
WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs.
IEEE Access
11 (2023)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds.
Int. J. Appl. Earth Obs. Geoinformation
116 (2023)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling.
MMM (1)
(2023)
Nuttapong Chairatanakul
,
Xin Liu
,
Nguyen Thai Hoang
,
Tsuyoshi Murata
Heterogeneous graph embedding with single-level aggregation and infomax encoding.
Mach. Learn.
112 (11) (2023)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation.
Neurocomputing
559 (2023)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Feature selection: Key to enhance node classification with graph neural networks.
CAAI Trans. Intell. Technol.
8 (1) (2023)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification.
CIKM
(2022)
Yijun Duan
,
Xin Liu
,
Adam Jatowt
,
Hai-Tao Yu
,
Steven J. Lynden
,
Kyoung-Sook Kim
,
Akiyoshi Matono
Dual Cost-sensitive Graph Convolutional Network.
IJCNN
(2022)
Quentin Jodelet
,
Xin Liu
,
Tsuyoshi Murata
Balanced softmax cross-entropy for incremental learning with and without memory.
Comput. Vis. Image Underst.
225 (2022)
Yijun Duan
,
Xin Liu
,
Adam Jatowt
,
Hai-Tao Yu
,
Steven J. Lynden
,
Kyoung-Sook Kim
,
Akiyoshi Matono
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs.
Remote. Sens.
14 (18) (2022)
Yijun Duan
,
Xin Liu
,
Adam Jatowt
,
Hai-Tao Yu
,
Steven J. Lynden
,
Kyoung-Sook Kim
,
Akiyoshi Matono
Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network.
Remote. Sens.
14 (14) (2022)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution.
CoRR
(2022)
Yijun Duan
,
Xin Liu
,
Adam Jatowt
,
Haitao Yu
,
Steven J. Lynden
,
Kyoung-Sook Kim
,
Akiyoshi Matono
Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs.
ECML/PKDD (2)
(2022)
Qiong Chang
,
Aolong Zha
,
Weimin Wang
,
Xin Liu
,
Masaki Onishi
,
Lei Lei
,
Meng Joo Er
,
Tsutomu Maruyama
Efficient stereo matching on embedded GPUs with zero-means cross correlation.
CoRR
(2022)
Nuttapong Chairatanakul
,
Hoang NT
,
Xin Liu
,
Tsuyoshi Murata
Leaping through Time with Gradient-Based Adaptation for Recommendation.
AAAI
(2022)
Ruidong Jin
,
Xin Liu
,
Tsuyoshi Murata
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.
DS
(2022)
Qiong Chang
,
Aolong Zha
,
Weimin Wang
,
Xin Liu
,
Masaki Onishi
,
Lei Lei
,
Meng Joo Er
,
Tsutomu Maruyama
Efficient stereo matching on embedded GPUs with zero-means cross correlation.
J. Syst. Archit.
123 (2022)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding.
CoRR
(2022)
Yijun Duan
,
Xin Liu
,
Adam Jatowt
,
Chenyi Zhuang
,
Hai-Tao Yu
,
Steven J. Lynden
,
Kyoung-Sook Kim
,
Akiyoshi Matono
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies.
IEEE Access
10 (2022)
Haoyi Xiu
,
Xin Liu
,
Weimin Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation.
CoRR
(2022)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Simplifying approach to node classification in Graph Neural Networks.
J. Comput. Sci.
62 (2022)
Zarina Rakhimberdina
,
Xin Liu
,
Tsuyoshi Murata
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes.
IEEE Access
10 (2022)
Chanathip Pornprasit
,
Xin Liu
,
Pattararat Kiattipadungkul
,
Natthawut Kertkeidkachorn
,
Kyoung-Sook Kim
,
Thanapon Noraset
,
Saeed-Ul Hassan
,
Suppawong Tuarob
Enhancing citation recommendation using citation network embedding.
Scientometrics
127 (1) (2022)
Yijun Duan
,
Adam Jatowt
,
Masatoshi Yoshikawa
,
Xin Liu
,
Akiyoshi Matono
Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics.
ICADL
(2021)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Improving Graph Neural Networks with Simple Architecture Design.
CoRR
(2021)
Nuttapong Chairatanakul
,
Noppayut Sriwatanasakdi
,
Nontawat Charoenphakdee
,
Xin Liu
,
Tsuyoshi Murata
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph.
EMNLP (Findings)
(2021)
Zhaonan Wang
,
Renhe Jiang
,
Zekun Cai
,
Zipei Fan
,
Xin Liu
,
Kyoung-Sook Kim
,
Xuan Song
,
Ryosuke Shibasaki
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
CIKM
(2021)
Hibiki Taguchi
,
Xin Liu
,
Tsuyoshi Murata
Graph convolutional networks for graphs containing missing features.
Future Gener. Comput. Syst.
117 (2021)
Nuttapong Chairatanakul
,
Noppayut Sriwatanasakdi
,
Nontawat Charoenphakdee
,
Xin Liu
,
Tsuyoshi Murata
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph.
CoRR
(2021)
Nuttapong Chairatanakul
,
Xin Liu
,
Tsuyoshi Murata
PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding.
Inf. Sci.
570 (2021)
Nuttapong Chairatanakul
,
Hoang NT
,
Xin Liu
,
Tsuyoshi Murata
Leaping Through Time with Gradient-based Adaptation for Recommendation.
CoRR
(2021)
Ruidong Jin
,
Tianqi Xia
,
Xin Liu
,
Tsuyoshi Murata
,
Kyoung-Sook Kim
Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks.
IEEE Access
9 (2021)
Quentin Jodelet
,
Xin Liu
,
Tsuyoshi Murata
Balanced Softmax Cross-Entropy for Incremental Learning.
ICANN (2)
(2021)
Quentin Jodelet
,
Xin Liu
,
Tsuyoshi Murata
Balanced Softmax Cross-Entropy for Incremental Learning.
CoRR
(2021)
Zarina Rakhimberdina
,
Quentin Jodelet
,
Xin Liu
,
Tsuyoshi Murata
Natural Image Reconstruction from fMRI using Deep Learning: A Survey.
CoRR
(2021)
Zihan Liao
,
Wenxin Liang
,
Beilei Cui
,
Xin Liu
Structure-guided attributed network embedding with "centroid" enhancement.
Computing
103 (8) (2021)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Graph Neural Networks for Fast Node Ranking Approximation.
ACM Trans. Knowl. Discov. Data
15 (5) (2021)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Simplifying approach to Node Classification in Graph Neural Networks.
CoRR
(2021)
Haoyi Xiu
,
Xin Liu
,
Weiming Wang
,
Kyoung-Sook Kim
,
Takayuki Shinohara
,
Qiong Chang
,
Masashi Matsuoka
Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention.
BMVC
(2021)
Zhaonan Wang
,
Tianqi Xia
,
Renhe Jiang
,
Xin Liu
,
Kyoung-Sook Kim
,
Xuan Song
,
Ryosuke Shibasaki
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks.
ICDE
(2021)
Zarina Rakhimberdina
,
Xin Liu
,
Tsuyoshi Murata
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder.
Sensors
20 (21) (2020)
Chanathip Pornprasit
,
Xin Liu
,
Natthawut Kertkeidkachorn
,
Kyoung-Sook Kim
,
Thanapon Noraset
,
Suppawong Tuarob
ConvCN: A CNN-Based Citation Network Embedding Algorithm towards Citation Recommendation.
JCDL
(2020)
Jun Jin Choong
,
Xin Liu
,
Tsuyoshi Murata
Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization.
Entropy
22 (2) (2020)
Julien Leblay
,
Melisachew Wudage Chekol
,
Xin Liu
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision.
CIKM
(2020)
Hibiki Taguchi
,
Xin Liu
,
Tsuyoshi Murata
Graph Convolutional Networks for Graphs Containing Missing Features.
CoRR
(2020)
Tianqi Xia
,
Adam Jatowt
,
Zhaonan Wang
,
Ruochen Si
,
Haoran Zhang
,
Xin Liu
,
Ryosuke Shibasaki
,
Xuan Song
,
Kyoung-Sook Kim
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk.
W2GIS
(2020)
Sunil Kumar Maurya
,
Xin Liu
,
Tsuyoshi Murata
Fast Approximations of Betweenness Centrality with Graph Neural Networks.
CIKM
(2019)
Jun Jin Choong
,
Xin Liu
,
Tsuyoshi Murata
Optimizing Variational Graph Autoencoder for Community Detection.
IEEE BigData
(2019)
Nuttapong Chairatanakul
,
Tsuyoshi Murata
,
Xin Liu
Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation.
IEEE Access
7 (2019)
Xin Liu
,
Chenyi Zhuang
,
Tsuyoshi Murata
,
Kyoung-Sook Kim
,
Natthawut Kertkeidkachorn
How much topological structure is preserved by graph embeddings?
Comput. Sci. Inf. Syst.
16 (2) (2019)
Natthawut Kertkeidkachorn
,
Xin Liu
,
Ryutaro Ichise
GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding.
JSAI
(2019)
Xin Liu
,
Tsuyoshi Murata
,
Kyoung-Sook Kim
,
Chatchawan Kotarasu
,
Chenyi Zhuang
A General View for Network Embedding as Matrix Factorization.
WSDM
(2019)
Natthawut Kertkeidkachorn
,
Lihua Zhao
,
Xin Liu
,
Ryutaro Ichise
Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways.
ICSC
(2019)
Jun Jin Choong
,
Xin Liu
,
Tsuyoshi Murata
Learning Community Structure with Variational Autoencoder.
ICDM
(2018)
Xin Liu
,
Kyoung-Sook Kim
A Comparative Study of Network Embedding Based on Matrix Factorization.
DMBD
(2018)
Jun Jin Choong
,
Xin Liu
,
Tsuyoshi Murata
Variational Approach for Learning Community Structures.
Complex.
2018 (2018)
Xin Liu
,
Natthawut Kertkeidkachorn
,
Tsuyoshi Murata
,
Kyoung-Sook Kim
,
Julien Leblay
,
Steven J. Lynden
Network Embedding Based on a Quasi-Local Similarity Measure.
PRICAI (1)
(2018)
Xin Liu
,
Tsuyoshi Murata
,
Kyoung-Sook Kim
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?
WIMS
(2018)
Xin Liu
,
Ryutaro Ichise
Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket.
DMBD
(2017)
Christian Giovanelli
,
Xin Liu
,
Seppo Sierla
,
Valeriy Vyatkin
,
Ryutaro Ichise
Towards an aggregator that exploits big data to bid on frequency containment reserve market.
IECON
(2017)
Xin Liu
,
Weichu Liu
,
Tsuyoshi Murata
,
Ken Wakita
Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression.
New Gener. Comput.
34 (1-2) (2016)
Xin Liu
,
Tsuyoshi Murata
,
Ken Wakita
A unified modularity by encoding the similarity attraction feature into the null model.
ASONAM
(2014)
Xin Liu
,
Weichu Liu
,
Tsuyoshi Murata
,
Ken Wakita
A Framework for Community Detection in Heterogeneous Multi-Relational Networks.
Adv. Complex Syst.
17 (6) (2014)
Xin Liu
,
Tsuyoshi Murata
,
Ken Wakita
Detecting network communities beyond assortativity-related attributes.
CoRR
(2014)
Sorn Jarukasemratana
,
Tsuyoshi Murata
,
Xin Liu
Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks.
Inf. Media Technol.
9 (2) (2014)
Xin Liu
,
Weichu Liu
,
Tsuyoshi Murata
,
Ken Wakita
A framework for community detection in heterogeneous multi-relational networks.
CoRR
(2014)
Xin Liu
,
Tsuyoshi Murata
,
Ken Wakita
Extracting the multilevel communities based on network structural and nonstructural information.
WWW (Companion Volume)
(2013)
Sorn Jarukasemratana
,
Tsuyoshi Murata
,
Xin Liu
Community detection algorithm based on centrality and node distance in scale-free networks.
HT
(2013)
Xin Liu
,
Tsuyoshi Murata
,
Ken Wakita
Extending modularity by incorporating distance functions in the null model
CoRR
(2012)
Xin Liu
,
Tsuyoshi Murata
Extracting the mesoscopic structure from heterogeneous systems.
HT
(2011)
Xin Liu
,
Tsuyoshi Murata
Detecting Communities in K-Partite K-Uniform (Hyper)Networks.
J. Comput. Sci. Technol.
26 (5) (2011)
Xin Liu
,
Tsuyoshi Murata
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks.
J. Adv. Comput. Intell. Intell. Informatics
14 (4) (2010)
Xin Liu
,
Tsuyoshi Murata
Evaluating Community Structure in Bipartite Networks.
SocialCom/PASSAT
(2010)
Xin Liu
,
Tsuyoshi Murata
Detecting Communities in Tripartite Hypergraphs
CoRR
(2010)
Xin Liu
,
Tsuyoshi Murata
Community Detection in Large-Scale Bipartite Networks.
Web Intelligence
(2009)
Xin Liu
,
Tsuyoshi Murata
How Does Label Propagation Algorithm Work in Bipartite Networks?
Web Intelligence/IAT Workshops
(2009)