Xin Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 66

Top Topics

Betweenness Centrality

Incremental Learning

Graph Embedding

Top Venues

Publications

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)