Xin Liu - RankMe

127 papers A* 7A 10B 6C 3Misc 1Journal 73Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multi-rounded adversarial scenario for graph-based promo fraud detection. Soc. Netw. Anal. Min. Hafizh Adi Prasetya, Xin Liu, Tsuyoshi Murata, Akiyoshi Matono
2026	J	`jnl`	BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network. CoRR Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallmann-Trenn, Xin Liu, Frédéric Giroire, Tsuyoshi Murata, Emanuele Natale
2026	J	`jnl`	Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark. CoRR Yao Wang, Xin Liu, Zhuochen Liu, Jiankang Chen, Adam Jatowt, Kyoungsook Kim, Noriko Kando, Haitao Yu
2026	J	`jnl`	Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution. CoRR Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Akiyoshi Matono, Andrea Passerini, Xin Liu, Manfred Jaeger
2025	B	`conf`	A General and Scalable GCN Training Framework on CPU Supercomputers. PPoPP Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Lingqi Zhang, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	—	`conf`	Action Sequence Analysis Using Temporal Commonsense Knowledge. PAKDD (6) Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Hai-Tao Yu, Xin Liu
2025	J	`jnl`	Advancing ALS Applications with Large-Scale Pre-training: Dataset Development and Downstream Assessment. CoRR Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim
2025	J	`jnl`	Antimicrobial resistance recommendations via electronic health records with graph representation and patient population modeling. Comput. Methods Programs Biomed. Pei Gao, Zheng Chen, Xin Liu, Peng Chen, Yasuko Matsubara, Yasushi Sakurai
2025	J	`jnl`	Balancing Embedding Spectrum for Recommendation. Trans. Recomm. Syst. Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine
2025	J	`jnl`	Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural network. Inf. Process. Manag. Hai-Tao Yu, Chao Lei, Yan Ge, Yijun Duan, Xin Liu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono, Adam Jatowt
2025	A	`conf`	Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs. CIKM Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim
2025	J	`jnl`	Future-proofing class-incremental learning. Mach. Vis. Appl. Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2025	A*	`conf`	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. ICLR Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2025	—	`conf`	How Useful Is Graph Pooling for Node-Level Tasks? ECML/PKDD (3) Yijun Duan, Xin Liu, Steven J. Lynden, Akiyoshi Matono, Qiang Ma
2025	J	`jnl`	Implicit knowledge-augmented prompting for commonsense explanation generation. Knowl. Inf. Syst. Yan Ge, Hai-Tao Yu, Chao Lei, Xin Liu, Adam Jatowt, Kyoung-Sook Kim, Steven J. Lynden, Akiyoshi Matono
2025	J	`jnl`	JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models. CoRR Jieying Xue, Phuong Minh Nguyen, Le-Minh Nguyen, Xin Liu
2025	J	`jnl`	Memory augmented using diffusion model for class-incremental learning. Image Vis. Comput. Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2025	—	`conf`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. KDD (2) Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	J	`jnl`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	—	`conf`	Refining Noisy Knowledge Graph with Large Language Models. COLING Workshops Na Dong, Natthawut Kertkeidkachorn, Xin Liu, Kiyoaki Shirai
2025	A	`conf`	Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers. ICS Chen Zhuang, Lingqi Zhang, Du Wu, Peng Chen, Jiajun Huang, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2025	J	`jnl`	Weight-aware tasks for evaluating knowledge graph embeddings. Knowl. Based Syst. Wei Kun Kong, Xin Liu, Teeradaj Racharak, Guanqun Sun, Qiang Ma, Le-Minh Nguyen
2024	J	`jnl`	A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. IEEE Access Yao Wang, Xin Liu, Wei Kun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Nguyen Le Minh
2024	J	`jnl`	A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations. CoRR Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Le-Minh Nguyen
2024	J	`jnl`	Balancing Embedding Spectrum for Recommendation. CoRR Shaowen Peng, Kazunari Sugiyama, Xin Liu, Tsunenori Mine
2024	—	`conf`	Communication Optimization for Distributed GCN Training on ABCI Supercomputer. CLUSTER Workshops Chen Zhuang, Peng Chen, Xin Liu, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2024	J	`jnl`	DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	—	`conf`	DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise. PAKDD (2) Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	J	`jnl`	Future-Proofing Class Incremental Learning. CoRR Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2024	J	`jnl`	GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. CoRR Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2024	A*	`conf`	How Powerful is Graph Filtering for Recommendation. KDD Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine
2024	J	`jnl`	How Powerful is Graph Filtering for Recommendation. CoRR Shaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine
2024	B	`conf`	Inexact Graph Representation Learning. IJCNN Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono
2024	J	`jnl`	Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. Remote. Sens. Miguel Luis Rivera Lagahit, Xin Liu, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim, Masashi Matsuoka
2024	J	`jnl`	Predicting popularity trend in social media networks with multi-layer temporal graph neural networks. Complex Intell. Syst. Ruidong Jin, Xin Liu, Tsuyoshi Murata
2024	J	`jnl`	Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphs. Mach. Learn. Ruidong Jin, Xin Liu, Tsuyoshi Murata
2024	J	`jnl`	S3PaR: Section-based Sequential Scientific Paper Recommendation for paper writing assistance. Knowl. Based Syst. Natasha C. Santosa, Xin Liu, Hyoil Han, Jun Miyazaki
2024	J	`jnl`	SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers. CoRR Chen Zhuang, Peng Chen, Xin Liu, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib
2023	—	`conf`	Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2023	J	`jnl`	Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
2023	A	`conf`	Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Haitao Yu, Xin Liu, Yijun Duan
2023	J	`jnl`	DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds. Int. J. Appl. Earth Obs. Geoinformation Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	J	`jnl`	Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation. Neurocomputing Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	J	`jnl`	Feature selection: Key to enhance node classification with graph neural networks. CAAI Trans. Intell. Technol. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2023	J	`jnl`	Heterogeneous graph embedding with single-level aggregation and infomax encoding. Mach. Learn. Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata
2023	A*	`conf`	MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. ACM Multimedia Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
2023	J	`jnl`	MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka
2023	—	`conf`	Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling. MMM (1) Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2023	A*	`conf`	StereoVAE: A lightweight stereo-matching system using embedded GPUs. ICRA Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Jun Miyazaki
2023	J	`jnl`	WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge Graphs. IEEE Access Wei Kun Kong, Xin Liu, Teeradaj Racharak, Guanqun Sun, Jianan Chen, Qiang Ma, Le-Minh Nguyen
2023	A	`conf`	What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	—	`conf`	Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label Graphs. ECML/PKDD (2) Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	J	`jnl`	Balanced softmax cross-entropy for incremental learning with and without memory. Comput. Vis. Image Underst. Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2022	B	`conf`	Dual Cost-sensitive Graph Convolutional Network. IJCNN Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	J	`jnl`	Efficient stereo matching on embedded GPUs with zero-means cross correlation. CoRR Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
2022	J	`jnl`	Efficient stereo matching on embedded GPUs with zero-means cross correlation. J. Syst. Archit. Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama
2022	J	`jnl`	Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. CoRR Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	J	`jnl`	Enhancing citation recommendation using citation network embedding. Scientometrics Chanathip Pornprasit, Xin Liu, Pattararat Kiattipadungkul, Natthawut Kertkeidkachorn, Kyoung-Sook Kim, Thanapon Noraset, Saeed-Ul Hassan, Suppawong Tuarob
2022	J	`jnl`	Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation. CoRR Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2022	A*	`conf`	Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional Network. Remote. Sens. Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	J	`jnl`	Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	A	`conf`	Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. CIKM Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2022	B	`conf`	Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. DS Ruidong Jin, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. Yijun Duan, Xin Liu, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono
2022	J	`jnl`	Simplifying approach to node classification in Graph Neural Networks. J. Comput. Sci. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2022	J	`jnl`	Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. IEEE Access Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
2022	—	`conf`	TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding. ISWC (Posters/Demos/Industry) Kong Wei Kun, Xin Liu, Teeradaj Racharak, Le-Minh Nguyen
2021	—	`conf`	Balanced Softmax Cross-Entropy for Incremental Learning. ICANN (2) Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Balanced Softmax Cross-Entropy for Incremental Learning. CoRR Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	—	`conf`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata
2021	—	`conf`	Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics. ICADL Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa, Xin Liu, Akiyoshi Matono
2021	A	`conf`	Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention. BMVC Haoyi Xiu, Xin Liu, Weiming Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka
2021	A*	`conf`	Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. ICDE Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
2021	J	`jnl`	Graph Neural Networks for Fast Node Ranking Approximation. ACM Trans. Knowl. Discov. Data Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Graph convolutional networks for graphs containing missing features. Future Gener. Comput. Syst. Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Improving Graph Neural Networks with Simple Architecture Design. CoRR Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Natural Image Reconstruction from fMRI using Deep Learning: A Survey. CoRR Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. Inf. Sci. Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata
2021	J	`jnl`	Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. IEEE Access Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
2021	J	`jnl`	Simplifying approach to Node Classification in Graph Neural Networks. CoRR Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2021	A	`conf`	Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. CIKM Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
2021	J	`jnl`	Structure-guided attributed network embedding with "centroid" enhancement. Computing Zihan Liao, Wenxin Liang, Beilei Cui, Xin Liu
2020	—	`conf`	ConvCN: A CNN-Based Citation Network Embedding Algorithm towards Citation Recommendation. JCDL Chanathip Pornprasit, Xin Liu, Natthawut Kertkeidkachorn, Kyoung-Sook Kim, Thanapon Noraset, Suppawong Tuarob
2020	C	`conf`	CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. W2GIS Tianqi Xia, Adam Jatowt, Zhaonan Wang, Ruochen Si, Haoran Zhang, Xin Liu, Ryosuke Shibasaki, Xuan Song, Kyoung-Sook Kim
2020	J	`jnl`	Graph Convolutional Networks for Graphs Containing Missing Features. CoRR Hibiki Taguchi, Xin Liu, Tsuyoshi Murata
2020	J	`jnl`	Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. Entropy Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2020	J	`jnl`	Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. Sensors Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata
2020	A	`conf`	Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. CIKM Julien Leblay, Melisachew Wudage Chekol, Xin Liu
2020	C	`conf`	Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU. ICCD Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama
2019	A	`conf`	A General View for Network Embedding as Matrix Factorization. WSDM Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang
2019	A	`conf`	Fast Approximations of Betweenness Centrality with Graph Neural Networks. CIKM Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata
2019	—	`conf`	GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding. JSAI Natthawut Kertkeidkachorn, Xin Liu, Ryutaro Ichise
2019	J	`jnl`	How much topological structure is preserved by graph embeddings? Comput. Sci. Inf. Syst. Xin Liu, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn
2019	—	`conf`	Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways. ICSC Natthawut Kertkeidkachorn, Lihua Zhao, Xin Liu, Ryutaro Ichise
2019	—	`conf`	Optimizing Variational Graph Autoencoder for Community Detection. IEEE BigData Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2019	J	`jnl`	Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. IEEE Access Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu
2018	—	`conf`	A Comparative Study of Network Embedding Based on Matrix Factorization. DMBD Xin Liu, Kyoung-Sook Kim
2018	A*	`conf`	Learning Community Structure with Variational Autoencoder. ICDM Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2018	—	`conf`	Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? WIMS Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim
2018	—	`conf`	Network Embedding Based on a Quasi-Local Similarity Measure. PRICAI (1) Xin Liu, Natthawut Kertkeidkachorn, Tsuyoshi Murata, Kyoung-Sook Kim, Julien Leblay, Steven J. Lynden
2018	B	`conf`	Optimizing Preconditioned Conjugate Gradient on TaihuLight for OpenFOAM. CCGrid James Lin, Minhua Wen, Delong Meng, Xin Liu, Akira Nukada, Satoshi Matsuoka
2018	J	`jnl`	Variational Approach for Learning Community Structures. Complex. Jun Jin Choong, Xin Liu, Tsuyoshi Murata
2017	—	`conf`	Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket. DMBD Xin Liu, Ryutaro Ichise
2017	C	`conf`	Towards an aggregator that exploits big data to bid on frequency containment reserve market. IECON Christian Giovanelli, Xin Liu, Seppo A. Sierla, Valeriy Vyatkin, Ryutaro Ichise
2016	J	`jnl`	Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression. New Gener. Comput. Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2014	J	`jnl`	A Framework for Community Detection in Heterogeneous Multi-Relational Networks. Adv. Complex Syst. Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2014	J	`jnl`	A framework for community detection in heterogeneous multi-relational networks. CoRR Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita
2014	B	`conf`	A unified modularity by encoding the similarity attraction feature into the null model. ASONAM Xin Liu, Tsuyoshi Murata, Ken Wakita
2014	J	`jnl`	Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. Inf. Media Technol. Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
2014	J	`jnl`	Detecting network communities beyond assortativity-related attributes. CoRR Xin Liu, Tsuyoshi Murata, Ken Wakita
2013	—	`conf`	Community detection algorithm based on centrality and node distance in scale-free networks. HT Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu
2013	—	`conf`	Extracting the multilevel communities based on network structural and nonstructural information. WWW (Companion Volume) Xin Liu, Tsuyoshi Murata, Ken Wakita
2012	J	`jnl`	Extending modularity by incorporating distance functions in the null model CoRR Xin Liu, Tsuyoshi Murata, Ken Wakita
2011	J	`jnl`	Detecting Communities in K-Partite K-Uniform (Hyper)Networks. J. Comput. Sci. Technol. Xin Liu, Tsuyoshi Murata
2011	—	`conf`	Extracting the mesoscopic structure from heterogeneous systems. HT Xin Liu, Tsuyoshi Murata
2010	J	`jnl`	An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. J. Adv. Comput. Intell. Intell. Informatics Xin Liu, Tsuyoshi Murata
2010	J	`jnl`	Community Detection in Large-scale Bipartite Networks. Inf. Media Technol. Xin Liu, Tsuyoshi Murata
2010	J	`jnl`	Detecting Communities in Tripartite Hypergraphs CoRR Xin Liu, Tsuyoshi Murata
2010	—	`conf`	Evaluating Community Structure in Bipartite Networks. SocialCom/PASSAT Xin Liu, Tsuyoshi Murata
2009	—	`conf`	Community Detection in Large-Scale Bipartite Networks. Web Intelligence Xin Liu, Tsuyoshi Murata
2009	—	`conf`	How Does Label Propagation Algorithm Work in Bipartite Networks? Web Intelligence/IAT Workshops Xin Liu, Tsuyoshi Murata
2007	Misc	`conf`	Effective Algorithm for Detecting Community Structure in Complex Networks Based on GA and Clustering. International Conference on Computational Science (2) Xin Liu, Deyi Li, Shuliang Wang, Zhiwei Tao