Xin Liu 0020 - researchr alias

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Viewing Publication 1 - 58 from 58

2025

Estimating the plausibility of commonsense statements by novelly fusing large language model and graph neural networkHaitao Yu 0003, Chao Lei, Yan Ge, Yijun Duan, Xin Liu 0020, Steven J. Lynden, Kyoung-Sook Kim 0001, Akiyoshi Matono, Adam Jatowt. ipm, 62(4):104146, 2025. [doi]

Refining Noisy Knowledge Graph with Large Language ModelsNa Dong, Natthawut Kertkeidkachorn, Xin Liu 0020, Kiyoaki Shirai. COLING 2025: 78-86 [doi]

How Useful Is Graph Pooling for Node-Level Tasks?Yijun Duan, Xin Liu 0020, Steven J. Lynden, Akiyoshi Matono, Qiang Ma 0001. pkdd 2026: 92-107 [doi]

Implicit knowledge-augmented prompting for commonsense explanation generationYan Ge, Haitao Yu 0003, Chao Lei, Xin Liu 0020, Adam Jatowt, Kyoung-Sook Kim 0001, Steven J. Lynden, Akiyoshi Matono. kais, 67(4):3663-3698, April 2025. [doi]

Memory augmented using diffusion model for class-incremental learningQuentin Jodelet, Xin Liu 0020, Yin Jun Phua, Tsuyoshi Murata. ivc, 161:105600, 2025. [doi]

Future-proofing class-incremental learningQuentin Jodelet, Xin Liu 0020, Yin Jun Phua, Tsuyoshi Murata. mva, 36(1):16, January 2025. [doi]

Weight-aware tasks for evaluating knowledge graph embeddingsWei Kun Kong, Xin Liu 0020, Teeradaj Racharak, Guanqun Sun, Qiang Ma 0001, Le-Minh Nguyen 0001. kbs, 320:113596, 2025. [doi]

Action Sequence Analysis Using Temporal Commonsense KnowledgeSteven J. Lynden, Kyoung-Sook Kim 0001, Akiyoshi Matono, Hai-Tao Yu, Xin Liu 0020. pakdd 2025: 355-367 [doi]

Balancing Embedding Spectrum for RecommendationShaowen Peng, Kazunari Sugiyama, Xin Liu 0020, Tsunenori Mine. tors, 3(4), December 2025. [doi]

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based SupercomputersChen Zhuang, Lingqi Zhang 0001, Du Wu, Peng Chen 0035, Jiajun Huang 0001, Xin Liu 0020, Rio Yokota, Nikoli Dryden, Toshio Endo, Satoshi Matsuoka, Mohamed Wahib. ics 2025: 57-72 [doi]

2024

Inexact Graph Representation LearningYijun Duan, Xin Liu 0020, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Akiyoshi Matono. ijcnn 2024: 1-8 [doi]

DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature NoiseTai Hasegawa, Sukwon Yun, Xin Liu 0020, Yin Jun Phua, Tsuyoshi Murata. pakdd 2024: 376-389 [doi]

Predicting potential real-time donations in YouTube live streaming services via continuous-time dynamic graphsRuidong Jin, Xin Liu 0020, Tsuyoshi Murata. ml, 113(4):2093-2127, April 2024. [doi]

Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived ImageryMiguel Luis Rivera Lagahit, Xin Liu 0020, Haoyi Xiu, Taehoon Kim, Kyoung-Sook Kim 0001, Masashi Matsuoka. remotesensing, 16(23):4592, 2024. [doi]

A Decoupling and Aggregating Framework for Joint Extraction of Entities and RelationsYao Wang, Xin Liu 0020, Wei Kun Kong, Haitao Yu 0003, Teeradaj Racharak, Kyoung-Sook Kim, Nguyen Le Minh 0001. access, 12:103313-103328, 2024. [doi]

2023

WeExt: A Framework of Extending Deterministic Knowledge Graph Embedding Models for Embedding Weighted Knowledge GraphsWei Kun Kong, Xin Liu 0020, Teeradaj Racharak, Guanqun Sun, Jianan Chen, Qiang Ma 0001, Le-Minh Nguyen 0001. access, 11:48901-48911, 2023. [doi]

Feature selection: Key to enhance node classification with graph neural networksSunil Kumar Maurya, Xin Liu 0020, Tsuyoshi Murata. caaitrit, 8(1):14-28, March 2023. [doi]

Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge ModelingHaoyi Xiu, Xin Liu 0020, Weimin Wang 0007, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. mmm 2023: 269-281 [doi]

DS-Net: A dedicated approach for collapsed building detection from post-event airborne point cloudsHaoyi Xiu, Xin Liu 0020, Weimin Wang 0007, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. aeog, 116:103150, February 2023. [doi]

Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentationHaoyi Xiu, Xin Liu 0020, Weimin Wang 0007, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. ijon, 559:126780, November 2023. [doi]

2022

Leaping through Time with Gradient-Based Adaptation for RecommendationNuttapong Chairatanakul, Hoang NT, Xin Liu 0020, Tsuyoshi Murata. AAAI 2022: 6141-6149 [doi]

Efficient stereo matching on embedded GPUs with zero-means cross correlationQiong Chang, Aolong Zha, Weimin Wang, Xin Liu 0020, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama. jsa, 123:102366, 2022. [doi]

Dual Cost-sensitive Graph Convolutional NetworkYijun Duan, Xin Liu 0020, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono. ijcnn 2022: 1-8 [doi]

Anonymity can Help Minority: A Novel Synthetic Data Over-Sampling Strategy on Multi-label GraphsYijun Duan, Xin Liu 0020, Adam Jatowt, Haitao Yu 0003, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono. pkdd 2023: 20-36 [doi]

SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label GraphsYijun Duan, Xin Liu 0020, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono. remotesensing, 14(18):4479, 2022. [doi]

Long-Tailed Graph Representation Learning via Dual Cost-Sensitive Graph Convolutional NetworkYijun Duan, Xin Liu 0020, Adam Jatowt, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono. remotesensing, 14(14):3295, 2022. [doi]

Multiview Actionable Knowledge Graph Generation From Wikipedia BiographiesYijun Duan, Xin Liu 0020, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono. access, 10:73879-73892, 2022. [doi]

Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic GraphRuidong Jin, Xin Liu 0020, Tsuyoshi Murata. dis 2022: 59-73 [doi]

Balanced softmax cross-entropy for incremental learning with and without memoryQuentin Jodelet, Xin Liu 0020, Tsuyoshi Murata. cviu, 225:103582, 2022. [doi]

Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node ClassificationSunil Kumar Maurya, Xin Liu 0020, Tsuyoshi Murata. CIKM 2022: 4334-4338 [doi]

Simplifying approach to node classification in Graph Neural NetworksSunil Kumar Maurya, Xin Liu 0020, Tsuyoshi Murata. jocs, 62:101695, 2022. [doi]

Enhancing citation recommendation using citation network embeddingChanathip Pornprasit, Xin Liu 0020, Pattararat Kiattipadungkul, Natthawut Kertkeidkachorn, Kyoung-Sook Kim, Thanapon Noraset, Saeed-Ul Hassan, Suppawong Tuarob. scientometrics, 127(1):233-264, 2022. [doi]

Strengthening Robustness Under Adversarial Attacks Using Brain Visual CodesZarina Rakhimberdina, Xin Liu 0020, Tsuyoshi Murata. access, 10:96149-96158, 2022. [doi]

2021

Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous GraphNuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu 0020, Tsuyoshi Murata. emnlp 2021: 1504-1517 [doi]

PGRA: Projected graph relation-feature attention network for heterogeneous information network embeddingNuttapong Chairatanakul, Xin Liu 0020, Tsuyoshi Murata. isci, 570:769-794, 2021. [doi]

Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word SemanticsYijun Duan, Adam Jatowt, Masatoshi Yoshikawa, Xin Liu 0020, Akiyoshi Matono. ICADL 2021: 3-17 [doi]

Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional NetworksRuidong Jin, Tianqi Xia, Xin Liu 0020, Tsuyoshi Murata, Kyoung-Sook Kim. access, 9:9903-9915, 2021. [doi]

Balanced Softmax Cross-Entropy for Incremental LearningQuentin Jodelet, Xin Liu 0020, Tsuyoshi Murata. icann 2021: 385-396 [doi]

Graph Neural Networks for Fast Node Ranking ApproximationSunil Kumar Maurya, Xin Liu 0020, Tsuyoshi Murata. tkdd, 15(5), 2021. [doi]

Graph convolutional networks for graphs containing missing featuresHibiki Taguchi, Xin Liu 0020, Tsuyoshi Murata. fgcs, 117:155-168, 2021. [doi]

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural NetworksZhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu 0020, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki. icde 2021: 1751-1762 [doi]

2020

Optimizing Variational Graph Autoencoder for Community Detection with Dual OptimizationJun Jin Choong, Xin Liu 0020, Tsuyoshi Murata. entropy, 22(2):197, 2020. [doi]

Towards Temporal Knowledge Graph Embeddings with Arbitrary Time PrecisionJulien Leblay, Melisachew Wudage Chekol, Xin Liu 0020. CIKM 2020: 685-694 [doi]

ConvCN: A CNN-Based Citation Network Embedding Algorithm towards Citation RecommendationChanathip Pornprasit, Xin Liu 0020, Natthawut Kertkeidkachorn, Kyoung-Sook Kim, Thanapon Noraset, Suppawong Tuarob. JCDL 2020: 433-436 [doi]

Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum DisorderZarina Rakhimberdina, Xin Liu 0020, Tsuyoshi Murata. sensors, 20(21):6001, 2020. [doi]

CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke RiskTianqi Xia, Adam Jatowt, Zhaonan Wang, Ruochen Si, Haoran Zhang, Xin Liu 0020, Ryosuke Shibasaki, Xuan Song, Kyoung-Sook Kim. w2gis 2020: 14-23 [doi]

2019

Hyper-Path-Based Representation Learning for Hyper-NetworksJie Huang 0009, Xin Liu 0020, Yangqiu Song. CIKM 2019: 449-458 [doi]

A General View for Network Embedding as Matrix FactorizationXin Liu 0020, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang. wsdm 2019: 375-383 [doi]

How much topological structure is preserved by graph embeddings?Xin Liu 0020, Chenyi Zhuang, Tsuyoshi Murata, Kyoung-Sook Kim, Natthawut Kertkeidkachorn. comsis, 16(2):597-614, 2019. [doi]

Optimizing Variational Graph Autoencoder for Community DetectionJun Jin Choong, Xin Liu 0020, Tsuyoshi Murata. bigdataconf 2019: 5353-5358 [doi]

GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph EmbeddingNatthawut Kertkeidkachorn, Xin Liu 0020, Ryutaro Ichise. jsai 2020: 170-178 [doi]

Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction PathwaysNatthawut Kertkeidkachorn, Lihua Zhao, Xin Liu 0020, Ryutaro Ichise. semco 2019: 324-329 [doi]

2018

2014

Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free NetworksSorn Jarukasemratana, Tsuyoshi Murata, Xin Liu 0020. imt, 9(2):162-172, 2014. [doi]

2010

Community Detection in Large-scale Bipartite NetworksXin Liu 0020, Tsuyoshi Murata. imt, 5(1):184-192, 2010. [doi]

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