Xin Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding	2024	Xin Liu Farima Fatahi Bayat Lu Wang
+ PDF Chat	A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations	2024	Yao Wang Xin Liu Weikun Kong Hai-Tao Yu Teeradaj Racharak Kyoung-Sook Kim Le-Minh Nguyen
+ PDF Chat	DEGNN: Dual Experts Graph Neural Network Handling both Edge and Node Feature Noise	2024	Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata
+	A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations	2024	Yao Wang Xin Liu Wei Kun Kong Hai-Tao Yu Teeradaj Racharak Kyoung‐Sook Kim Le-Minh Nguyen
+ PDF Chat	Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression	2024	Farima Fatahi Bayat Xin Liu H. V. Jagadish Lu Wang
+	MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning	2023	Haoyi Xiu Xin Liu Weimin Wang Kyoung‐Sook Kim M. Matsuoka
+ PDF Chat	Class-Incremental Learning using Diffusion Model for Distillation and Replay	2023	Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata
+	Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation	2023	Haoyi Xiu Xin Liu Weimin Wang Kyoung-Sook Kim Takayuki Shinohara Qiong Chang M. Matsuoka
+ PDF Chat	IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models	2023	Xiaoyue Wang Xin Liu Lijie Wang Yaoxiang Wang Jinsong Su Hua Wu
+	Balanced softmax cross-entropy for incremental learning with and without memory	2022	Quentin Jodelet Xin Liu Tsuyoshi Murata
+ PDF Chat	Joint non-negative matrix factorization for community structures detection in signed networks	2022	Zhongyuan Zhang Chao Yan Huimin Cheng Xin Liu
+	A high-resolution dynamical view on momentum methods for over-parameterized neural networks	2022	Xin Liu Tao Wei Jun Wang Zhisong Pan
+ PDF Chat	Efficient stereo matching on embedded GPUs with zero-means cross correlation	2021	Qiong Chang Aolong Zha Weimin Wang Xin Liu Masaki Onishi Lei Lei Meng Joo Er Tsutomu Maruyama
+	Balanced Softmax Cross-Entropy for Incremental Learning.	2021	Quentin Jodelet Xin Liu Tsuyoshi Murata
+	Graph convolutional networks for graphs containing missing features	2020	Hibiki Taguchi Xin Liu Tsuyoshi Murata
+ PDF Chat	Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling	2019	Zi Long Lianzhi Tan Shengping Zhou Chaoyang He Xin Liu
+ PDF Chat	Evaluation of Community Detection Methods	2019	Xin Liu Huimin Cheng Zhongyuan Zhang
+	Evaluation of Community Structures using Kappa Index and F-Score instead of Normalized Mutual Information.	2018	Xin Liu Huimin Cheng Zhongyuan Zhang
+ PDF Chat	On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization	2018	Zhongyuan Zhang Yujie Gai Yu-Fei Wang Huimin Cheng Xin Liu
+	Joint Nonnegative Matrix Factorization for Community Structures Detection in Signed Networks	2018	Chao Yan Huimin Cheng Xin Liu Zhongyuan Zhang
+	What can we know about hypernuclei via analysis of bremsstrahlung photons?	2018	Xin Liu Sergei P. Maydanyuk Ling Liu Pengming Zhang
+ PDF Chat	Community detection in complex networks using link prediction	2017	Huimin Cheng Yi-Zi Ning Zhao Yin Chao Yan Xin Liu Zhongyuan Zhang
+ PDF Chat	Effectiveness of rapid rail transit system in Beijing	2017	Huimin Cheng Yi-Zi Ning Xiaoke Ma Xin Liu Zhongyuan Zhang
+ PDF Chat	Modified quantum-speed-limit bounds for open quantum dynamics in quantum channels	2017	Xin Liu Wei Wu Chao Wang
+	On Equivalence of Likelihood Maximization of Stochastic Block Model and Constrained Nonnegative Matrix Factorization	2016	Zhongyuan Zhang Yujie Gai Yufei Wang Huimin Cheng Xin Liu
+ PDF Chat	A FRAMEWORK FOR COMMUNITY DETECTION IN HETEROGENEOUS MULTI-RELATIONAL NETWORKS	2014	Xin Liu Weichu Liu Tsuyoshi Murata Ken Wakita
+ PDF Chat	Detecting network communities beyond assortativity-related attributes	2014	Xin Liu Tsuyoshi Murata Ken Wakita
+	A framework for community detection in heterogeneous multi-relational networks	2014	Xin Liu Weichu Liu Tsuyoshi Murata Ken Wakita
+ PDF Chat	A GENERIC TRUST FRAMEWORK FOR LARGE‐SCALE OPEN SYSTEMS USING MACHINE LEARNING	2013	Xin Liu Gilles Trédan Anwitaman Datta
+	Extending modularity by incorporating distance functions in the null model	2012	Xin Liu Tsuyoshi Murata Ken Wakita
+	Extending modularity by capturing the similarity attraction feature in the null model	2012	Xin Liu Tsuyoshi Murata Ken Wakita
+ PDF Chat	Detecting Communities in K-Partite K-Uniform (Hyper)Networks	2011	Xin Liu Tsuyoshi Murata
+ PDF Chat	Advanced modularity-specialized label propagation algorithm for detecting communities in networks	2009	Xin Liu Tsuyoshi Murata

Common Coauthors

Coauthor	Papers Together
Tsuyoshi Murata	12
Zhongyuan Zhang	8
Huimin Cheng	8
Ken Wakita	5
Weimin Wang	3
Quentin Jodelet	3
Yin Jun Phua	2
Qiong Chang	2
Haoyi Xiu	2
Yi-Zi Ning	2
M. Matsuoka	2
Yujie Gai	2
Teeradaj Racharak	2
Weichu Liu	2
Kyoung‐Sook Kim	2
Farima Fatahi Bayat	2
Le-Minh Nguyen	2
Lu Wang	2
Chao Yan	2
Hai-Tao Yu	2
Kyoung-Sook Kim	2
Yufei Wang	1
Hibiki Taguchi	1
Shengping Zhou	1
Zhao Yin	1
Sukwon Yun	1
Takayuki Shinohara	1
Wei Wu	1
Anwitaman Datta	1
Tai Hasegawa	1
Sergei P. Maydanyuk	1
Ling Liu	1
Jinsong Su	1
Weikun Kong	1
Chaoyang He	1
Yaoxiang Wang	1
Lei Lei	1
Pengming Zhang	1
Tsutomu Maruyama	1
Aolong Zha	1
H. V. Jagadish	1
Yao Wang	1
Yao Wang	1
Xiaoyue Wang	1
Yu-Fei Wang	1
Jun Wang	1
Tao Wei	1
Lijie Wang	1
Zi Long	1
Hua Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Finding and evaluating community structure in networks	2004	Michelle G. Newman Michelle Girvan	9
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	9
+	Modularity and community structure in networks	2006	M. E. J. Newman	7
+	Finding community structure in very large networks	2004	Aaron Clauset M. E. J. Newman Cristopher Moore	7
+ PDF Chat	Fast algorithm for detecting community structure in networks	2004	M. E. J. Newman	7
+ PDF Chat	Community detection in complex networks using extremal optimization	2005	Jordi Duch Àlex Arenas	6
+ PDF Chat	Fast unfolding of communities in large networks	2008	Vincent D. Blondel Jean‐Loup Guillaume Renaud Lambiotte Etienne Lefebvre	6
+ PDF Chat	Community detection in graphs	2009	Santo Fortunato	6
+ PDF Chat	Community detection algorithms: A comparative analysis	2009	Andrea Lancichinetti Santo Fortunato	6
+ PDF Chat	Detecting network communities by propagating labels under constraints	2009	Michael Barber J. W. Clark	5
+ PDF Chat	Finding community structure in networks using the eigenvectors of matrices	2006	M. E. J. Newman	5
+ PDF Chat	Advanced modularity-specialized label propagation algorithm for detecting communities in networks	2009	Xin Liu Tsuyoshi Murata	5
+ PDF Chat	Benchmark graphs for testing community detection algorithms	2008	Andrea Lancichinetti Santo Fortunato Filippo Radicchi	5
+ PDF Chat	Performance of modularity maximization in practical contexts	2010	Benjamin H. Good Yves-Alexandre de Montjoye Aaron Clauset	5
+ PDF Chat	Resolution limit in community detection	2006	Santo Fortunato Marc Barthélemy	4
+ PDF Chat	Comparing community structure identification	2005	León Danon Albert Dı́az-Guilera Jordi Duch Àlex Arenas	4
+ PDF Chat	Limits of modularity maximization in community detection	2011	Andrea Lancichinetti Santo Fortunato	4
+ PDF Chat	Overlapping community detection in complex networks using symmetric binary matrix factorization	2013	Zhongyuan Zhang Yong Wang Yong‐Yeol Ahn	4
+ PDF Chat	Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities	2009	Andrea Lancichinetti Santo Fortunato	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	3
+ PDF Chat	Multistep greedy algorithm identifies community structure in real-world and computer-generated networks	2008	Philipp Schuetz Amedeo Caflisch	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+ PDF Chat	Near linear time algorithm to detect community structures in large-scale networks	2007	Usha Nandini Raghavan Réka Albert Soundar Kumara	3
+ PDF Chat	Link prediction in complex networks: A survey	2010	Linyuan Lü Tao Zhou	3
+ PDF Chat	Community detection in networks with positive and negative links	2009	Vincent Traag Jeroen Bruggeman	3
+ PDF Chat	Community detection in bipartite networks using weighted symmetric binary matrix factorization	2014	Zhongyuan Zhang Yong‐Yeol Ahn	3
+ PDF Chat	Overlapping community detection in networks with positive and negative links	2014	Y Chen X L Wang Bo Yuan Buzhou Tang	3
+ PDF Chat	Comparative evaluation of community detection algorithms: a topological approach	2012	Günce Keziban Orman Vincent Labatut Hocine Cherifi	3
+ PDF Chat	Large Scale Incremental Learning	2019	Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Yun Fu	3
+ PDF Chat	Modularity and community detection in bipartite networks	2007	Michael Barber	3
+ PDF Chat	iCaRL: Incremental Classifier and Representation Learning	2017	Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl Christoph H. Lampert	3
+ PDF Chat	Statistical mechanics of community detection	2006	Juergen Reichardt Stefan Bornholdt	3
+ PDF Chat	Efficient modularity optimization by multistep greedy algorithm and vertex mover refinement	2008	Philipp Schuetz Amedeo Caflisch	3
+ PDF Chat	Optimal Network Modularity for Information Diffusion	2014	Azadeh Nematzadeh Emilio Ferrara Alessandro Flammini Yong‐Yeol Ahn	3
+ PDF Chat	Mnemonics Training: Multi-Class Incremental Learning Without Forgetting	2020	Yaoyao Liu Yuting Su An-An Liu Bernt Schiele Qianru Sun	3
+	Size reduction of complex networks preserving modularity	2007	Àlex Arenas Jordi Duch Alberto Fernández Sergio Gómez	2
+ PDF Chat	Stochastic blockmodels and community structure in networks	2011	Brian Karrer M. E. J. Newman	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Assessing a mixture model for clustering with the integrated completed likelihood	2000	Christophe Biernacki Gilles Celeux G. Govaert	2
+ PDF Chat	Link communities reveal multiscale complexity in networks	2010	Yong‐Yeol Ahn James P. Bagrow Sune Lehmann	2
+ PDF Chat	Uncovering space-independent communities in spatial networks	2011	Paul Expert Tim Evans Vincent D. Blondel Renaud Lambiotte	2
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	2
+ PDF Chat	Community Structure in Time-Dependent, Multiscale, and Multiplex Networks	2010	Peter J. Mucha Thomas Richardson K. T. Macon Mason A. Porter Jukka-Pekka Onnela	2
+ PDF Chat	Module identification in bipartite and directed networks	2007	Roger Guimerà Marta Sales‐Pardo Luı́s A. Nunes Amaral	2
+ PDF Chat	Social significance of community structure: Statistical view	2015	Hui‐Jia Li Jasmine J. Daniels	2
+ PDF Chat	Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications	2011	Aurélien Decelle Florent Krząkała Cristopher Moore Lenka Zdeborová	2
+ PDF Chat	Detecting Communities in K-Partite K-Uniform (Hyper)Networks	2011	Xin Liu Tsuyoshi Murata	2
+ PDF Chat	Measuring robustness of community structure in complex networks	2014	Hui‐Jia Li Hao Wang Luonan Chen	2
+ PDF Chat	Exploring the structural regularities in networks	2011	Huawei Shen Xueqi Cheng Jiafeng Guo	2