Effective Algorithm for Detecting Community Structure in Complex Networks Based on GA and Clustering. - Xin Liu 020; Deyi Li; Shuliang Wang 001; Zhiwei Tao (International Conference on Computational Science (2), 2007)

How Does Label Propagation Algorithm Work in Bipartite Networks? - Xin Liu 020; Tsuyoshi Murata (Web Intelligence/IAT Workshops, 2009)

Evaluating Community Structure in Bipartite Networks. - Xin Liu 020; Tsuyoshi Murata (SocialCom/PASSAT, 2010)

Detecting Communities in Tripartite Hypergraphs - Xin Liu 020; Tsuyoshi Murata (CoRR, 2010)

Community Detection in Large-scale Bipartite Networks. - Xin Liu 020; Tsuyoshi Murata (Inf. Media Technol., 2010)

An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. - Xin Liu 020; Tsuyoshi Murata (J. Adv. Comput. Intell. Intell. Informatics, 2010)

Extracting the mesoscopic structure from heterogeneous systems. - Xin Liu 020; Tsuyoshi Murata (HT, 2011)

Detecting Communities in K-Partite K-Uniform (Hyper)Networks. - Xin Liu 020; Tsuyoshi Murata (J. Comput. Sci. Technol., 2011)

Extending modularity by incorporating distance functions in the null model - Xin Liu 020; Tsuyoshi Murata; Ken Wakita (CoRR, 2012)

Community detection algorithm based on centrality and node distance in scale-free networks. - Sorn Jarukasemratana; Tsuyoshi Murata; Xin Liu 020 (HT, 2013)

Extracting the multilevel communities based on network structural and nonstructural information. - Xin Liu 020; Tsuyoshi Murata; Ken Wakita (WWW (Companion Volume), 2013)

A unified modularity by encoding the similarity attraction feature into the null model. - Xin Liu 020; Tsuyoshi Murata; Ken Wakita (ASONAM, 2014)

A Framework for Community Detection in Heterogeneous Multi-Relational Networks. - Xin Liu 020; Weichu Liu; Tsuyoshi Murata; Ken Wakita (Adv. Complex Syst., 2014)

Detecting network communities beyond assortativity-related attributes. - Xin Liu 020; Tsuyoshi Murata; Ken Wakita (CoRR, 2014)

Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. - Sorn Jarukasemratana; Tsuyoshi Murata; Xin Liu 020 (Inf. Media Technol., 2014)

Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression. - Xin Liu 020; Weichu Liu; Tsuyoshi Murata; Ken Wakita (New Gener. Comput., 2016)

Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket. - Xin Liu 020; Ryutaro Ichise (DMBD, 2017)

Towards an aggregator that exploits big data to bid on frequency containment reserve market. - Christian Giovanelli; Xin Liu 020; Seppo A. Sierla; Valeriy Vyatkin; Ryutaro Ichise (IECON, 2017)

Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. - James Lin; Minhua Wen; Delong Meng; Xin Liu 020; Akira Nukada; Satoshi Matsuoka (CCGrid, 2018)

A Comparative Study of Network Embedding Based on Matrix Factorization. - Xin Liu 020; Kyoung-Sook Kim 001 (DMBD, 2018)

Learning Community Structure with Variational Autoencoder. - Jun Jin Choong; Xin Liu 020; Tsuyoshi Murata (ICDM, 2018)

Network Embedding Based on a Quasi-Local Similarity Measure. - Xin Liu 020; Natthawut Kertkeidkachorn; Tsuyoshi Murata; Kyoung-Sook Kim 001; Julien Leblay; Steven J. Lynden (PRICAI (1), 2018)

Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? - Xin Liu 020; Tsuyoshi Murata; Kyoung-Sook Kim 001 (WIMS, 2018)

Variational Approach for Learning Community Structures. - Jun Jin Choong; Xin Liu 020; Tsuyoshi Murata (Complex., 2018)

Optimizing Variational Graph Autoencoder for Community Detection. - Jun Jin Choong; Xin Liu 020; Tsuyoshi Murata (IEEE BigData, 2019)

Fast Approximations of Betweenness Centrality with Graph Neural Networks. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (CIKM, 2019)

GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding. - Natthawut Kertkeidkachorn; Xin Liu 020; Ryutaro Ichise (JSAI, 2019)

Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways. - Natthawut Kertkeidkachorn; Lihua Zhao; Xin Liu 020; Ryutaro Ichise (ICSC, 2019)

A General View for Network Embedding as Matrix Factorization. - Xin Liu 020; Tsuyoshi Murata; Kyoung-Sook Kim 001; Chatchawan Kotarasu; Chenyi Zhuang (WSDM, 2019)

Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. - Nuttapong Chairatanakul; Tsuyoshi Murata; Xin Liu 020 (IEEE Access, 2019)

How much topological structure is preserved by graph embeddings? - Xin Liu 020; Chenyi Zhuang; Tsuyoshi Murata; Kyoung-Sook Kim 001; Natthawut Kertkeidkachorn (Comput. Sci. Inf. Syst., 2019)

Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. - Julien Leblay; Melisachew Wudage Chekol; Xin Liu 020 (CIKM, 2020)

Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU. - Qiong Chang; Aolong Zha; Weimin Wang 007; Xin Liu 020; Masaki Onishi; Tsutomu Maruyama (ICCD, 2020)

ConvCN: A CNN-Based Citation Network Embedding Algorithm towards Citation Recommendation. - Chanathip Pornprasit; Xin Liu 020; Natthawut Kertkeidkachorn; Kyoung-Sook Kim 001; Thanapon Noraset; Suppawong Tuarob (JCDL, 2020)

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. - Tianqi Xia; Adam Jatowt; Zhaonan Wang 001; Ruochen Si; Haoran Zhang 002; Xin Liu 020; Ryosuke Shibasaki; Xuan Song 001; Kyoung-Sook Kim 001 (W2GIS, 2020)

Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. - Jun Jin Choong; Xin Liu 020; Tsuyoshi Murata (Entropy, 2020)

Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. - Zarina Rakhimberdina; Xin Liu 020; Tsuyoshi Murata (Sensors, 2020)

Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. - Haoyi Xiu; Xin Liu 020; Weiming Wang; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (BMVC, 2021)

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. - Zhaonan Wang 001; Renhe Jiang; Zekun Cai; Zipei Fan; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. - Nuttapong Chairatanakul; Noppayut Sriwatanasakdi; Nontawat Charoenphakdee; Xin Liu 020; Tsuyoshi Murata (EMNLP (Findings), 2021)

Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics. - Yijun Duan; Adam Jatowt; Masatoshi Yoshikawa; Xin Liu 020; Akiyoshi Matono (ICADL, 2021)

Balanced Softmax Cross-Entropy for Incremental Learning. - Quentin Jodelet; Xin Liu 020; Tsuyoshi Murata (ICANN (2), 2021)

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. - Zhaonan Wang 001; Tianqi Xia; Renhe Jiang; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (ICDE, 2021)

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. - Ruidong Jin; Tianqi Xia; Xin Liu 020; Tsuyoshi Murata; Kyoung-Sook Kim 001 (IEEE Access, 2021)

Structure-guided attributed network embedding with "centroid" enhancement. - Zihan Liao; Wenxin Liang; Beilei Cui; Xin Liu 020 (Computing, 2021)

Improving Graph Neural Networks with Simple Architecture Design. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (CoRR, 2021)

Natural Image Reconstruction from fMRI using Deep Learning: A Survey. - Zarina Rakhimberdina; Quentin Jodelet; Xin Liu 020; Tsuyoshi Murata (CoRR, 2021)

Graph convolutional networks for graphs containing missing features. - Hibiki Taguchi; Xin Liu 020; Tsuyoshi Murata (Future Gener. Comput. Syst., 2021)

PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. - Nuttapong Chairatanakul; Xin Liu 020; Tsuyoshi Murata (Inf. Sci., 2021)

Graph Neural Networks for Fast Node Ranking Approximation. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (ACM Trans. Knowl. Discov. Data, 2021)

Leaping through Time with Gradient-Based Adaptation for Recommendation. - Nuttapong Chairatanakul; Hoang NT; Xin Liu 020; Tsuyoshi Murata (AAAI, 2022)

Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (CIKM, 2022)

Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. - Ruidong Jin; Xin Liu 020; Tsuyoshi Murata (DS, 2022)

Dual Cost-sensitive Graph Convolutional Network. - Yijun Duan; Xin Liu 020; Adam Jatowt; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (IJCNN, 2022)

Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. - Yijun Duan; Xin Liu 020; Adam Jatowt; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (ECML/PKDD (2), 2022)

TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding. - Kong Wei Kun; Xin Liu 020; Teeradaj Racharak; Le-Minh Nguyen 001 (ISWC (Posters/Demos/Industry), 2022)

Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. - Yijun Duan; Xin Liu 020; Adam Jatowt; Chenyi Zhuang; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (IEEE Access, 2022)

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. - Zarina Rakhimberdina; Xin Liu 020; Tsuyoshi Murata (IEEE Access, 2022)

Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (CoRR, 2022)

Balanced softmax cross-entropy for incremental learning with and without memory. - Quentin Jodelet; Xin Liu 020; Tsuyoshi Murata (Comput. Vis. Image Underst., 2022)

Simplifying approach to node classification in Graph Neural Networks. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (J. Comput. Sci., 2022)

Efficient stereo matching on embedded GPUs with zero-means cross correlation. - Qiong Chang; Aolong Zha; Weimin Wang 007; Xin Liu 020; Masaki Onishi; Lei Lei; Meng Joo Er; Tsutomu Maruyama (J. Syst. Archit., 2022)

Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. - Yijun Duan; Xin Liu 020; Adam Jatowt; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (Remote. Sens., 2022)

SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. - Yijun Duan; Xin Liu 020; Adam Jatowt; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (Remote. Sens., 2022)

Enhancing citation recommendation using citation network embedding. - Chanathip Pornprasit; Xin Liu 020; Pattararat Kiattipadungkul; Natthawut Kertkeidkachorn; Kyoung-Sook Kim 001; Thanapon Noraset; Saeed-Ul Hassan; Suppawong Tuarob (Scientometrics, 2022)

Commonsense Temporal Action Knowledge (CoTAK) Dataset. - Steven J. Lynden; Hailemariam Mehari Yohannes; Kyoung-Sook Kim 001; Adam Jatowt; Akiyoshi Matono; Haitao Yu 003; Xin Liu 020; Yijun Duan (CIKM, 2023)

What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. - Yijun Duan; Xin Liu 020; Adam Jatowt; Chenyi Zhuang; Haitao Yu 003; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono (ECAI, 2023)

Class-Incremental Learning using Diffusion Model for Distillation and Replay. - Quentin Jodelet; Xin Liu 020; Yin Jun Phua; Tsuyoshi Murata (ICCV (Workshops), 2023)

StereoVAE: A lightweight stereo-matching system using embedded GPUs. - Qiong Chang; Xiang Li 110; Xin Xu; Xin Liu 020; Yun Li 015; Jun Miyazaki (ICRA, 2023)

MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Masashi Matsuoka (ACM Multimedia, 2023)

Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (MMM (1), 2023)

WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs. - Wei Kun Kong; Xin Liu 020; Teeradaj Racharak; Guanqun Sun; Jianan Chen; Qiang Ma 001; Le-Minh Nguyen 001 (IEEE Access, 2023)

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Feature selection: Key to enhance node classification with graph neural networks. - Sunil Kumar Maurya; Xin Liu 020; Tsuyoshi Murata (CAAI Trans. Intell. Technol., 2023)

Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation. - Haoyi Xiu; Xin Liu 020; Weimin Wang 007; Kyoung-Sook Kim 001; Takayuki Shinohara; Qiong Chang; Masashi Matsuoka (Neurocomputing, 2023)

Heterogeneous graph embedding with single-level aggregation and infomax encoding. - Nuttapong Chairatanakul; Xin Liu 020; Nguyen Thai Hoang; Tsuyoshi Murata (Mach. Learn., 2023)

Communication Optimization for Distributed GCN Training on ABCI Supercomputer. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CLUSTER Workshops, 2024)

Inexact Graph Representation Learning. - Yijun Duan; Xin Liu 020; Adam Jatowt; Hai-Tao Yu; Steven J. Lynden; Akiyoshi Matono (IJCNN, 2024)

How Powerful is Graph Filtering for Recommendation. - Shaowen Peng; Xin Liu 020; Kazunari Sugiyama; Tsunenori Mine (KDD, 2024)

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. - Tai Hasegawa; Sukwon Yun; Xin Liu 020; Yin Jun Phua; Tsuyoshi Murata (PAKDD (2), 2024)

A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. - Yao Wang; Xin Liu 020; Wei Kun Kong; Haitao Yu 003; Teeradaj Racharak; Kyoung-Sook Kim 001; Nguyen Le Minh 001 (IEEE Access, 2024)

A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. - Yao Wang; Xin Liu 020; Weikun Kong; Haitao Yu 003; Teeradaj Racharak; Kyoung-Sook Kim 001; Le-Minh Nguyen 001 (CoRR, 2024)

Balancing Embedding Spectrum for Recommendation. - Shaowen Peng; Kazunari Sugiyama; Xin Liu 020; Tsunenori Mine (CoRR, 2024)

SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (CoRR, 2024)

S3PaR: Section-based Sequential Scientific Paper Recommendation for paper writing assistance. - Natasha C. Santosa; Xin Liu 020; Hyoil Han; Jun Miyazaki (Knowl. Based Syst., 2024)

Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. - Miguel Luis Rivera Lagahit; Xin Liu 020; Haoyi Xiu; Taehoon Kim; Kyoung-Sook Kim 001; Masashi Matsuoka (Remote. Sens., 2024)

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. - Ruidong Jin; Xin Liu 020; Tsuyoshi Murata (Mach. Learn., 2024)

Refining Noisy Knowledge Graph with Large Language Models. - Na Dong; Natthawut Kertkeidkachorn; Xin Liu 020; Kiyoaki Shirai (COLING Workshops, 2025)

GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. - Ziwei Yang 002; Zheng Chen 012; Xin Liu 020; Rikuto Kotoge; Peng Chen 035; Yasuko Matsubara; Yasushi Sakurai; Jimeng Sun 001 (ICLR, 2025)

Action Sequence Analysis Using Temporal Commonsense Knowledge. - Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono; Hai-Tao Yu; Xin Liu 020 (PAKDD (6), 2025)

A General and Scalable GCN Training Framework on CPU Supercomputers. - Chen Zhuang; Peng Chen 035; Xin Liu 020; Rio Yokota; Nikoli Dryden; Lingqi Zhang 001; Toshio Endo; Satoshi Matsuoka; Mohamed Wahib (PPoPP, 2025)

Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling. - Pei Gao; Zheng Chen 012; Xin Liu 020; Peng Chen 035; Yasuko Matsubara; Yasushi Sakurai (Comput. Methods Programs Biomed., 2025)

Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural network. - Haitao Yu 003; Chao Lei; Yan Ge; Yijun Duan; Xin Liu 020; Steven J. Lynden; Kyoung-Sook Kim 001; Akiyoshi Matono; Adam Jatowt (Inf. Process. Manag., 2025)

Memory augmented using diffusion model for class-incremental learning. - Quentin Jodelet; Xin Liu 020; Yin Jun Phua; Tsuyoshi Murata (Image Vis. Comput., 2025)

Weight-aware tasks for evaluating knowledge graph embeddings. - Wei Kun Kong; Xin Liu 020; Teeradaj Racharak; Guanqun Sun; Qiang Ma 001; Le-Minh Nguyen 001 (Knowl. Based Syst., 2025)

Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment. - Haoyi Xiu; Xin Liu 020; Taehoon Kim; Kyoung-Sook Kim 001 (CoRR, 2025)

Future-proofing class-incremental learning. - Quentin Jodelet; Xin Liu 020; Yin Jun Phua; Tsuyoshi Murata (Mach. Vis. Appl., 2025)

Implicit knowledge-augmented prompting for commonsense explanation generation. - Yan Ge; Haitao Yu 003; Chao Lei; Xin Liu 020; Adam Jatowt; Kyoung-Sook Kim 001; Steven J. Lynden; Akiyoshi Matono (Knowl. Inf. Syst., 2025)

JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models. - Jieying Xue; Phuong Minh Nguyen; Le-Minh Nguyen 001; Xin Liu 020 (CoRR, 2025)