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ORCIDXin Liu 0020
Person information
- affiliation: National Institute of Advanced Industrial Science and Technology, Artificial Intelligence Research Center, Tokyo, Japan
- affiliation (former): Tokyo Institute of Technology, Department of Computer Science, Japan
Other persons with the same name
- Xin Liu — disambiguation page
- Xin Liu 0001
![[0000-0002-5705-0805]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5705-0805")
— University of Chinese Academy of Sciences, Academy of Mathematics and Systems Science, State Key Laboratory of Scientific and Engineering Computing (LSEC), Beijing, China - Xin Liu 0002 — University of California, Davis, Department of Computer Science, CA, USA (and 1 more)
- Xin Liu 0003 — Shanghai University, School of Communication and Information Engineering, China (and 2 more)
- Xin Liu 0004 — Dalian University of Technology, Department of Construction Management, China
- Xin Liu 0005 — Southwest University, Chongqing, China
- Xin Liu 0006 — European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
- Xin Liu 0007 — BGI-Shenzhen, Guangdong, China (and 1 more)
- Xin Liu 0008 — Curtin University, Australasian Joint Research Centre for Building Information Modelling, Bentley, Australia
- Xin Liu 0009 — Dalian University of Technology, School of Information and Communication Engineering, China (and 3 more)
- Xin Liu 0010 — Purdue University, School of Aeronautics and Astronautics, West Lafayette, IN, USA
- Xin Liu 0011 — Huaqiao University, Department of Computer Science, Xiamen, China (and 1 more)
- Xin Liu 0012 — Tianjin University, School of Electrical and Information Engineering, China (and 3 more)
- Xin Liu 0013 — Inner Mongolia University of Science and Technology, Baotou, China (and 1 more)
- Xin Liu 0014 — Beijing Institute of Technology, School of Automation, China
- Xin Liu 0015 — Institute of Microelectronics, A*STAR (Agency for Science, Technology and Research), Singapore (and 1 more)
- Xin Liu 0016 — Beijing University of Technology, Signal and Information Processing Laboratory, China
- Xin Liu 0017 — University of Waterloo, ON, Canada
- Xin Liu 0018 — National University of Defense Technology, School of Computer, Changsha, China (and 1 more)
- Xin Liu 0019 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Xin Liu 0021 — Guilin University of Technology, College of Information Science and Engineering, China (and 1 more)
- Xin Liu 0022 — China University of Petroleum (East China), Department of Software Engineering, Qingdao, China (and 1 more)
- Xin Liu 0023 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Xin Liu 0024 — Central South University of China, School of Business, Changsha, China
- Xin Liu 0025 — Tongji University, School of Economics and Management, Shanghai, China
- Xin Liu 0026 — North China Electric Power University, Department of Electrical Engineering, Baoding, China
- Xin Liu 0027 — Hangzhou Dianzi University, School of Automation, China (and 2 more)
- Xin Liu 0028 — Stanford University School of Medicine, Department of Genetics, CA, USA (and 2 more)
- Xin Liu 0029 — Southern University of Science and Technology, Department of Mathematics, Shenzhen, China (and 1 more)
- Xin Liu 0030 — Lanzhou University, School of Information Science and Engineering, China
- Xin Liu 0031 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Xin Liu 0032 — Clemson University, Department of Mathematical Sciences, SC, USA
- Xin Liu 0033 — Taiyuan University of Technology, College of Physics and Optoelectronics, Key Laboratory of Advanced Transducers and Intelligent Control Systems, Taiyuan, China
- Xin Liu 0034 — University of Washington, Seattle, WA, USA (and 1 more)
- Xin Liu 0035 — University of Arizona, Tucson, USA
- Xin Liu 0036 — Anhui University, School of Computer Science and Technology, Hefei, China
- Xin Liu 0037 — Texas A&M University, Department of Mathematics, College Station, TX, USA
- Xin Liu 0038 — Harbin Institute of Technology, School of Astronautics, Institute of Intelligent Control and Systems, Harbin, China
- Xin Liu 0039 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Xin Liu 0040 — Lanzhou University, College of Atmospheric Sciences, Lanzhou, China
- Xin Liu 0041 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
- Xin Liu 0042 — Army Engineering University of PLA, College of Command and Control Engineering, Nanjing, China
- Xin Liu 0043 — Beijing University of Technology, School of Electronic Information and Control Engineering, Speech and Audio Signal Processing Laboratory, Beijing, China
- Xin Liu 0044 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China (and 1 more)
- Xin Liu 0045 — University of Maryland, Baltimore County, Department of Computer Science and Electrical Engineering, Baltimore, MD, USA
- Xin Liu 0046 — NEC Laboratories of America, Cupertino, CA, USA (and 1 more)
- Xin Liu 0047 — University of Calgary, Department of Computer Science, Calgary, Canada (and 1 more)
- Xin Liu 0048 — Liaoning Normal University, School of Mathematics, Dalian, China
- Xin Liu 0049 — ShanghaiTech University, Shanghai, China (and 1 more)
- Xin Liu 0050 — Lanzhou University, School of Information Science and Engineering, China
- Xin Liu 0051 — University of Macau, Department of Electrical and Computer Engineering / State Key Laboratory of Analog and Mixed-Signal VLSI, Macau
- Xin Liu 0052 — Taiyuan University of Science and Technology, College of Electronics and Information Engineering, China
- Xin Liu 0053 — Chinese Academy of Sciences, Shenzhen Key Laboratory for MRI, Lauterbur Imaging Research Center, China
- Xin Liu 0054 — Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen Chinese Calligraphy Digital Simulation Engineering Laboratory, China
- Xin Liu 0055 — Hebei University of Technology, School of Artificial Intelligence, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
- Xin Liu 0056 — Brookhaven National Laboratory, Computer Science Center, Upton, NY, USA (and 1 more)
- Xin Liu 0057 — State University of New York at Buffalo, Department of Computer Science and Engineering, NY, USA
- Xin Liu 0058 — Illinois Institute of Technology, Department of Computer Science, Chicago, IL, USA
- Xin Liu 0059 — Duke University, Department of Computer Science, Durham, NC, USA (and 1 more)
- Xin Liu 0060 — Columbia University, Department of Biomedical Informatics, New York, NY, USA
- Xin Liu 0062 — University of California San Diego, Department of Electrical and Computer Engineering, CA, USA
- Xin Liu 0063 — Tsinghua University, Department of Electronic Engineering, Beijing,China
- Xin Liu 0064 — University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing Key Laboratory of Knowledge Engineering for Materials Science, China (and 2 more)
- Xin Liu 0065 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Xin Liu 0066 — Xiamen University, China
- Xin Liu 0067 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Xin Liu 0068 — Yanshan University, Department of Industrial Computer Control Engineering, Qinhuangdao, China
- Xin Liu 0069 — Chinese Academy of Sciences, Institute of Hydrobiology, State Key Laboratory of Freshwater Ecology and Biotechnology, Wuhan, China
- Xin Liu 0070 — Northwest University, School of Information Science and Technology, Xi'an, China
- Xin Liu 0071 — University of Science and Technology Liaoning, School of Electronic and Information Engineering, Anshan, China
- Xin Liu 0072 — Southwestern University of Finance and Economics, School of Statistics, Chengdu, China
- Xin Liu 0073 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Xin Liu 0074 — University of Wollongong, Institute of Cybersecurity and Cryptology, School of Computing and Information Technology, NSW, Australia
- Xin Liu 0075 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (and 1 more)
- Xin Liu 0076 — Southeast University, School of Transportation, Jiangsu Key Laboratory of Urban ITS, Nanjing, China
- Xin Liu 0077 — University of Auckland, Electrical Computer and Software Engineering Department, New Zealand
- Xin Liu 0078 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Xin Liu 0079 — Shandong University of Science and Technology, College of Geodesy and Geomatics, Qingdao, China
- Xin Liu 0080 — Qinghai Normal University, Computer Department, Xining, China
- Xin Liu 0081 — National Research Centre of Parallel Computer Engineering and Technology, Wuxi, China (and 1 more)
- Xin Liu 0082 — Tiangong University, Tianjin Key Laboratory of Modern Electromechanical Equipment Technology, China (and 2 more)
- Xin Liu 0083 — Qingdao University of Technology, School of Management Engineering, China
- Xin Liu 0084 — Chinese Academy of Sciences, Shanghai Institute of Technical Physics, Key Laboratory of Intelligent Infrared Perception, China
- Xin Liu 0085 — Hefei University of Technology, China (and 1 more)
- Xin Liu 0086 — East China Normal University, Shanghai, China (and 1 more)
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2020 – today
- 2024
[j30]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: 103313-103328 (2024)- [j29]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): 2093-2127 (2024) - [c42]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: 376-389 - [i21]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Future-Proofing Class Incremental Learning. CoRR abs/2404.03200 (2024) - [i20]Tai Hasegawa, Sukwon Yun, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise. CoRR abs/2404.09207 (2024) - [i19]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 abs/2405.08311 (2024) - 2023
- [j28]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: 48901-48911 (2023) - [j27]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: 103150 (2023) - [j26]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Feature selection: Key to enhance node classification with graph neural networks. CAAI Trans. Intell. Technol. 8(1): 14-28 (2023) - [j25]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: 126780 (2023) - [j24]Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata:
Heterogeneous graph embedding with single-level aggregation and infomax encoding. Mach. Learn. 112(11): 4227-4256 (2023) - [c41]Steven J. Lynden, Hailemariam Mehari Yohannes, Kyoung-Sook Kim, Adam Jatowt, Akiyoshi Matono, Hai-Tao Yu, Xin Liu, Yijun Duan:
Commonsense Temporal Action Knowledge (CoTAK) Dataset. CIKM 2023: 5361-5365 - [c40]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Hai-Tao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. ECAI 2023: 583-589 - [c39]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Class-Incremental Learning using Diffusion Model for Distillation and Replay. ICCV (Workshops) 2023: 3417-3425 - [c38]Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Jun Miyazaki:
StereoVAE: A lightweight stereo-matching system using embedded GPUs. ICRA 2023: 1982-1988 - [c37]Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka:
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. ACM Multimedia 2023: 2535-2543 - [c36]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: 269-281 - [i18]Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata:
Class-Incremental Learning using Diffusion Model for Distillation and Replay. CoRR abs/2306.17560 (2023) - [i17]Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Masashi Matsuoka:
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning. CoRR abs/2308.02237 (2023) - 2022
- [j23]Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies. IEEE Access 10: 73879-73892 (2022) - [j22]Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata:
Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes. IEEE Access 10: 96149-96158 (2022) - [j21]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced softmax cross-entropy for incremental learning with and without memory. Comput. Vis. Image Underst. 225: 103582 (2022) - [j20]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Simplifying approach to node classification in Graph Neural Networks. J. Comput. Sci. 62: 101695 (2022) - [j19]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: 102366 (2022) - [j18]Yijun Duan, Xin Liu, Adam Jatowt, Haitao 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): 3295 (2022) - [j17]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
SORAG: Synthetic Data Over-Sampling Strategy on Multi-Label Graphs. Remote. Sens. 14(18): 4479 (2022) - [j16]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): 233-264 (2022) - [c35]Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping through Time with Gradient-Based Adaptation for Recommendation. AAAI 2022: 6141-6149 - [c34]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Not All Neighbors are Friendly: Learning to Choose Hop Features to Improve Node Classification. CIKM 2022: 4334-4338 - [c33]Ruidong Jin, Xin Liu, Tsuyoshi Murata:
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. DS 2022: 59-73 - [c32]Yijun Duan, Xin Liu, Adam Jatowt, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
Dual Cost-sensitive Graph Convolutional Network. IJCNN 2022: 1-8 - [c31]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: 20-36 - [c30]Kong Wei Kun, Xin Liu, Teeradaj Racharak, Le-Minh Nguyen:
TransHExt: a Weighted Extension for TransH on Weighted Knowledge Graph Embedding. ISWC (Posters/Demos/Industry) 2022 - [i16]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. CoRR abs/2203.00172 (2022) - [i15]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 abs/2207.01174 (2022) - [i14]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 abs/2207.01181 (2022) - [i13]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 abs/2209.09483 (2022) - [i12]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 abs/2212.00476 (2022) - 2021
- [j15]Ruidong Jin, Tianqi Xia, Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim:
Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks. IEEE Access 9: 9903-9915 (2021) - [j14]Zihan Liao, Wenxin Liang, Beilei Cui, Xin Liu:
Structure-guided attributed network embedding with "centroid" enhancement. Computing 103(8): 1599-1620 (2021) - [j13]Hibiki Taguchi, Xin Liu, Tsuyoshi Murata:
Graph convolutional networks for graphs containing missing features. Future Gener. Comput. Syst. 117: 155-168 (2021) - [j12]Nuttapong Chairatanakul, Xin Liu, Tsuyoshi Murata:
PGRA: Projected graph relation-feature attention network for heterogeneous information network embedding. Inf. Sci. 570: 769-794 (2021) - [j11]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Graph Neural Networks for Fast Node Ranking Approximation. ACM Trans. Knowl. Discov. Data 15(5): 78:1-78:32 (2021) - [c29]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: 49 - [c28]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: 2060-2069 - [c27]Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata:
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. EMNLP (Findings) 2021: 1504-1517 - [c26]Yijun Duan, Adam Jatowt, Masatoshi Yoshikawa, Xin Liu, Akiyoshi Matono:
Diachronic Linguistic Periodization of Temporal Document Collections for Discovering Evolutionary Word Semantics. ICADL 2021: 3-17 - [c25]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced Softmax Cross-Entropy for Incremental Learning. ICANN (2) 2021: 385-396 - [c24]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: 1751-1762 - [i11]Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Balanced Softmax Cross-Entropy for Incremental Learning. CoRR abs/2103.12532 (2021) - [i10]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Improving Graph Neural Networks with Simple Architecture Design. CoRR abs/2105.07634 (2021) - [i9]Nuttapong Chairatanakul, Noppayut Sriwatanasakdi, Nontawat Charoenphakdee, Xin Liu, Tsuyoshi Murata:
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph. CoRR abs/2109.04400 (2021) - [i8]Zarina Rakhimberdina, Quentin Jodelet, Xin Liu, Tsuyoshi Murata:
Natural Image Reconstruction from fMRI using Deep Learning: A Survey. CoRR abs/2110.09006 (2021) - [i7]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Simplifying approach to Node Classification in Graph Neural Networks. CoRR abs/2111.06748 (2021) - [i6]Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping Through Time with Gradient-based Adaptation for Recommendation. CoRR abs/2112.05914 (2021) - 2020
- [j10]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Optimizing Variational Graph Autoencoder for Community Detection with Dual Optimization. Entropy 22(2): 197 (2020) - [j9]Zarina Rakhimberdina, Xin Liu, Tsuyoshi Murata:
Population Graph-Based Multi-Model Ensemble Method for Diagnosing Autism Spectrum Disorder. Sensors 20(21): 6001 (2020) - [c23]Julien Leblay, Melisachew Wudage Chekol, Xin Liu:
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. CIKM 2020: 685-694 - [c22]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. ICCD 2020: 597-600 - [c21]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: 433-436 - [c20]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: 14-23 - [i5]Hibiki Taguchi, Xin Liu, Tsuyoshi Murata:
Graph Convolutional Networks for Graphs Containing Missing Features. CoRR abs/2007.04583 (2020)
2010 – 2019
- 2019
- [j8]Nuttapong Chairatanakul, Tsuyoshi Murata, Xin Liu:
Recurrent Translation-Based Network for Top-N Sparse Sequential Recommendation. IEEE Access 7: 131567-131576 (2019) - [j7]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): 597-614 (2019) - [c19]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Optimizing Variational Graph Autoencoder for Community Detection. IEEE BigData 2019: 5353-5358 - [c18]Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata:
Fast Approximations of Betweenness Centrality with Graph Neural Networks. CIKM 2019: 2149-2152 - [c17]Natthawut Kertkeidkachorn, Xin Liu, Ryutaro Ichise:
GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding. JSAI 2019: 170-178 - [c16]Natthawut Kertkeidkachorn, Lihua Zhao, Xin Liu, Ryutaro Ichise:
Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways. ICSC 2019: 324-329 - [c15]Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang:
A General View for Network Embedding as Matrix Factorization. WSDM 2019: 375-383 - 2018
- [j6]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Variational Approach for Learning Community Structures. Complex. 2018: 4867304:1-4867304:13 (2018) - [c14]Xin Liu, Kyoung-Sook Kim:
A Comparative Study of Network Embedding Based on Matrix Factorization. DMBD 2018: 89-101 - [c13]Jun Jin Choong, Xin Liu, Tsuyoshi Murata:
Learning Community Structure with Variational Autoencoder. ICDM 2018: 69-78 - [c12]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: 429-440 - [c11]Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim:
Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure? WIMS 2018: 25:1-25:4 - 2017
- [c10]Xin Liu, Ryutaro Ichise:
Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket. DMBD 2017: 93-104 - [c9]Christian Giovanelli, Xin Liu, Seppo A. Sierla, Valeriy Vyatkin, Ryutaro Ichise:
Towards an aggregator that exploits big data to bid on frequency containment reserve market. IECON 2017: 7514-7519 - 2016
- [j5]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): 153-176 (2016) - 2014
- [j4]Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita:
A Framework for Community Detection in Heterogeneous Multi-Relational Networks. Adv. Complex Syst. 17(6) (2014) - [j3]Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu:
Community Detection Algorithm based on Centrality and Node Closeness in Scale-Free Networks. Inf. Media Technol. 9(2): 162-172 (2014) - [c8]Xin Liu, Tsuyoshi Murata, Ken Wakita:
A unified modularity by encoding the similarity attraction feature into the null model. ASONAM 2014: 521-528 - [i4]Xin Liu, Weichu Liu, Tsuyoshi Murata, Ken Wakita:
A framework for community detection in heterogeneous multi-relational networks. CoRR abs/1407.4989 (2014) - [i3]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Detecting network communities beyond assortativity-related attributes. CoRR abs/1407.4990 (2014) - 2013
- [c7]Sorn Jarukasemratana, Tsuyoshi Murata, Xin Liu:
Community detection algorithm based on centrality and node distance in scale-free networks. HT 2013: 258-262 - [c6]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Extracting the multilevel communities based on network structural and nonstructural information. WWW (Companion Volume) 2013: 191-192 - 2012
- [i2]Xin Liu, Tsuyoshi Murata, Ken Wakita:
Extending modularity by incorporating distance functions in the null model. CoRR abs/1210.4007 (2012) - 2011
- [j2]Xin Liu, Tsuyoshi Murata:
Detecting Communities in K-Partite K-Uniform (Hyper)Networks. J. Comput. Sci. Technol. 26(5): 778-791 (2011) - [c5]Xin Liu, Tsuyoshi Murata:
Extracting the mesoscopic structure from heterogeneous systems. HT 2011: 211-220 - 2010
- [j1]Xin Liu, Tsuyoshi Murata:
An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks. J. Adv. Comput. Intell. Intell. Informatics 14(4): 408-415 (2010) - [c4]Xin Liu, Tsuyoshi Murata:
Evaluating Community Structure in Bipartite Networks. SocialCom/PASSAT 2010: 576-581 - [i1]Xin Liu, Tsuyoshi Murata:
Detecting Communities in Tripartite Hypergraphs. CoRR abs/1011.1043 (2010)
2000 – 2009
- 2009
- [c3]Xin Liu, Tsuyoshi Murata:
How Does Label Propagation Algorithm Work in Bipartite Networks? Web Intelligence/IAT Workshops 2009: 5-8 - [c2]Xin Liu, Tsuyoshi Murata:
Community Detection in Large-Scale Bipartite Networks. Web Intelligence 2009: 50-57 - 2007
- [c1]Xin Liu, Deyi Li, Shuliang Wang, Zhiwei Tao:
Effective Algorithm for Detecting Community Structure in Complex Networks Based on GA and Clustering. International Conference on Computational Science (2) 2007: 657-664
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