論文

• Haoyi Xiu, Xin Liu, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. DS-Net: A Dedicated Approach for Collapsed Building Detection from Post-Event Airborne Point Clouds, International Journal of Applied Earth Observation and Geoinformation, Vol. 116, 103150, Feb. 2023.
• Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata. Feature Selection: Key to Enhance Node Classification with Graph Neural Networks, CAAI Transactions on Intelligence Technology, pp. 1-15, Jan. 2023.  公式リンク  
  
• Quentin Jodelet, Xin Liu, Tsuyoshi Murata. Balanced Softmax Cross-Entropy for Incremental Learning with and without Memory, Computer Vision and Image Understanding, Vol. 225, No. 103582, pp. 1-11, Nov. 2022.  公式リンク  
  
• Zarina Rakhimberdina, Liu Xin, Tsuyoshi Murata. Strengthening Robustness under Adversarial Attacks using Brain Visual Codes, IEEE Access, IEEE, Vol. 10, pp. 96149-96158, Sept. 2022.  公式リンク  
  
• Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata. Simplifying Approach to Node Classification in Graph Neural Networks, Journal of Computational Science, Elsevier, Vol. 62, No. 101695, pp. 1-12, May 2022.  公式リンク  
  
• Nuttapong Chairatanakul, Xin Liu, Hoang Nguyen, Tsuyoshi MURATA. Heterogeneous graph embedding with single-level aggregation and infomax encoding, Machine Learning, Springer, pp. 1-30, Apr. 2022.  公式リンク  
  
• Nuttapong Chairatanakul, Xin Liu, Tsuyoshi MURATA. PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding, Information Sciences, Elsevier, Volume 570, pp. 769-794, Sept. 2021.  公式リンク  
  
• Sunil Maurya, Liu Xin, Tsuyoshi MURATA. Graph Neural Networks for Fast Node Ranking Approximation, ACM Transactions on Knowledge Discovery from Data, Vol. 15, No. 5, Article No. 78, May 2021.  公式リンク  
  
• Hibiki Taguchi, Liu Xin, Tsuyoshi MURATA. Graph Convolutional Networks for Graphs Containing Missing Features, Future Generation Computer Systems, Elsevier, Vol. 117, pp. 155-168, Apr. 2021.  公式リンク  
  
• Ruidong Jin, Liu Xin, Tsuyoshi MURATA. Predicting Emergency Medical Service Demand with Bipartite Graph Convolutional Networks, IEEE Access, Vol. 9, pp. 9903-9915, Jan. 2021.  公式リンク  
  
• Nuttapong Chairatanakul, Xin Liu, Tsuyoshi MURATA. Recurrent Translation-based Network for Top-N Sparse Sequential Recommendation, IEEE Access, IEEE, Vol. 7, pp. 131567-131576, Sept. 2020.  公式リンク  
  
• Jun Jin Choong, Xin Liu, Tsuyoshi MURATA. Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization, Entropy, MDPI, Vol. 22, No. 2, pp. 1-21, Feb. 2020.  公式リンク  
  
• Liu Xin, Chenyi Zhuang, Tsuyoshi MURATA, Kyoung-Sook Kim, Natthawut Kertkeidkachorn. How Much Topological Structure Is Preserved by Graph Embeddings?, Computer Science and Information Systems, Vol. 16, No. 2, pp. 597-614, June 2019.  公式リンク  
  
• Jun Jin Choong, Liu Xin, Tsuyoshi MURATA. Variational Approach for Learning Community Structures, Complexity, Hindawi, Vol. 2018, No. 4867304, pp. 1-13, 2018.  公式リンク  
  
• Xin Liu, Weichu Liu, Tsuyoshi MURATA, Ken Wakita. Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression, New generation computing : an international journal on fifth generation computers, Ohmsha, Vol. 34, No. 1,2, pp. 153-176, Mar. 2016.  公式リンク  
  
• Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita. A Framework for Community Detection in Heterogeneous Multi-Relational Networks, Advances in Complex Systems, World Scientific Publishing, Vol. 17, No. 1450018, Page 1-21, Sept. 2014.  公式リンク  
  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Detecting network communities beyond assortativity-related attributes, Physical Review E, American Physical Society, Vol. 90, No. 012806, Page 10, July 2014.  公式リンク  
  
• Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu. Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks, 人工知能学会論文誌, 人工知能学会, Vol. 29, No. 2, pp. 234-244, Mar. 2014.  公式リンク  
  
• 杉原貴彦, LiuXin, 村田剛志. Signedネットワークからのコミュニティ抽出, 人工知能学会論文誌, Vol. 28, No. 1, pp. 67-76, Jan. 2013.  公式リンク  
  
• unknown unknown, Tsuyoshi MURATA, KEN WAKITA. Extending modularity by incorporating distance functions in the null model, ArXiv, 1210.4007, 4 pages, Oct. 2012.  公式リンク  
  
• Liu Xin, Tsuyoshi MURATA. Detecting Communities in K-Partite K-Uniform (Hyper)Networks, Journal of Computer Science and Technology, Springer, Vol. 26, No. 5, pp. 778-791, Sept. 2011.
• Xin Liu, Tsuyoshi MURATA. An Efficient Algorithm for Optimixing Bipartite Modularity in Bipartite Networks, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 14, No. 4, pp. 408-415, May 2010.
• Xin Liu, Tsuyoshi MURATA. Advanced modularity-specialized label propagation algorithm for detecting communities in networks, Physica A: Statistical Mechanics and its Applications, Elsevier, Vol. 389, No. 7, pp. 1493-1500, Apr. 2010.
• Xin Liu, Tsuyoshi MURATA. Community Detection in Large-scale Bipartite Networks, 人工知能学会論文誌, 人工知能学会, Vol. 25, No. 1, pp. 16-24, Jan. 2010.

国際会議発表 (査読有り)

• 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, International Conference on Multimedia Modeling (MMM) 2023, Proceedings of International Conference on Multimedia Modeling (MMM) 2023, pp. 269-281, Mar. 2023.
• Sunil Kumar Maurya, Liu Xin, Tsuyoshi Murata. Not All Neighbors are Friendly. Learning to Choose Hop Features to Improve Node Classification, 31th ACM International Conference on Information and Knowledge Management (CIKM 2022), pp. 4334–4338, Oct. 2022.  公式リンク  
  
• Nuttapong Chairatanakul, Hoang Nguyen, Xin Liu, Tsuyoshi MURATA. Leaping Through Time with Gradient-based Adaptation for Recommendation, 36th AAAI Conference on Artificial Intelligence (AAAI 2022), AAAI Press, pp. 6141-6149, Feb. 2022.  公式リンク  
  
• Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi MURATA. Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph, Findings of the Association for Computational Linguistics (EMNLP 2021), Association for Computational Linguistics, pp. 1504-1517, Nov. 2021.  公式リンク  
  
• Haoyi Xiu, Xin Liu, Weiming Wang, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention, The 32nd British Machine Vision Conference, Nov. 2021.
• Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Balanced Softmax Cross-Entropy for Incremental Learning, The 30th International Conference on Artificial Neural Networks (ICANN 2021), Lecture Notes in Computer Science, Springer, Vol. 12892, Sept. 2021.  公式リンク  
  
• Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama. Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU, IEEE 38th International Conference on Computer Design (ICCD), IEEE, Dec. 2020.
• Hibiki Taguchi, Tsuyoshi Murata, Xin Liu. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation, NetSci-X 2020: Sixth International Winter School and Conference on Network Science, Springer, pp. 17-31, Jan. 2020.  公式リンク  
  
• Sunil Kumar Maurya, Xin Liu, Tsuyoshi MURATA. Fast approximations of betweenness centrality with Graph Neural Networks, the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), pp. 2149-2152, Nov. 2019.  公式リンク  
  
• Liu Xin, Tsuyoshi MURATA, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang. A General View for Network Embedding as Matrix Factorization, 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), Proceedings of the 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), ACM, pp. 375-383, Feb. 2019.  公式リンク  
  
• Jun Jin Choong, Liu Xin, Tsuyoshi MURATA. Learning Community Structure with Variational Autoencoder, IEEE International Conference on Data Mining (ICDM 2018), Proceedings of IEEE International Conference on Data Mining (ICDM 2018), IEEE, pp. 69-78, Nov. 2018.  公式リンク  
  
• Liu Xin, Natthawut Kertkeidkachorn, Tsuyoshi MURATA, Kyoung-Sook Kim, Julien Leblay, Steven Lynden. Network Embedding Based on a Quasi-Local Similarity Measure, 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Springer, pp. 429-440, Aug. 2018.  公式リンク  
  
• Liu Xin, Tsuyoshi MURATA, Kyoung-Sook Kim. Measuring Graph Reconstruction Precisions---How Well Do Embeddings Preserve the Graph Proximity Structure, the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS 2018), ACM, Article No. 25, pp. 1-4, June 2018.  公式リンク  
  
• Xin Liu, Tsuyoshi MURATA, Ken Wakita. A unified modularity by encoding the similarity attraction feature into the null model, The 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining, IEEE, pp. 521-528, Aug. 2014.  公式リンク  
  
• Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu. Community detection algorithm based on centrality and node distance in scale-free networks, 24th ACM Conference on Hypertext and Social Media (Hypertext 2013), Proceedings of the 24th ACM Conference on Hypertext and Social Media (Hypertext 2013), ACM, pp. 258-262, May 2013.  公式リンク  
  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Extracting the multilevel communities based on network structural and nonstructural information, 22nd international conference on World Wide Web (WWW 2013), Proceedings of the 22nd international conference on World Wide Web, ACM, pp. 191-192, May 2013.  公式リンク  
  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Extending modularity by capturing the similarity attraction feature in the null model, International School and Conference on Network Science (NetSci 2013), 2013.  公式リンク  
  
• Xin Liu, Tsuyoshi Murata, Ken Wakita. Exploring the multilevel community structure in D4D dataset, D4D challenge 2013, 2013.
• Xin Liu, Tsuyoshi MURATA. Extracting the mesoscopic structure from heterogeneous systems, the 22nd ACM Conference on Hypertext and Hypermedia (HT'11), Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia (HT'11), ACM, pp. 211-220, June 2011.
• Xin Liu, Tsuyoshi MURATA. Evaluating Community Structure in Bipartite Networks, The second IEEE International Conference on Social Computing, Proceedings of the Symposium on Social Computing Application (SCA-10), pp. 576-581, Aug. 2010.
• Xin LIU, Tsuyoshi MURATA. Community Detection in Largte-scale Bipartite Networks, 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI'09), pp. 50-57, Sept. 2009.
• Xin LIU, Tsuyoshi MURATA. How Does Label Propagation Algorithm Work in Bipartite Networks?, 2009 International Workshop on Interlligent Web Interaction (IWI'09), Proceedings of the 2009 International Workshop on Interlligent Web Interaction, pp. 5-8, Sept. 2009.

国内会議発表 (査読なし・不明)

• Weichu Liu, Tsuyoshi Murata, Xin Liu. Community Detection on Heterogeneous Networks, 2013年度人工知能学会全国大会(第27回), 2013年度人工知能学会全国大会(第27回)論文集, 人工知能学会, Page 3, June 2013.  公式リンク  
  

その他の論文・著書など

• Zarina Rakhimberdina, Jodelet Quentin Magic, Xin Liu, Tsuyoshi MURATA. Natural Image Reconstruction from fMRI using Deep Learning: A Survey, Frontiers in Neuroscience, frontiers, Vol. 15, No. 795488, Dec. 2021.  公式リンク  
  

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