Min Zhou

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning	2024	K.C. Li Tianmeng Yang Min Zhou Jiahao Meng Shendi Wang Yihui Wu Boshuai Tan Hu Song Lujia Pan Fan Yu
+ PDF Chat	Boosting Factorization Machines via Saliency-Guided Mixup	2024	Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao
+	Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning	2023	Tianmeng Yang Min Zhou Yujing Wang Z. S. Lin Lujia Pan Bin Cui Yunhai Tong
+ PDF Chat	MATA: Combining Learnable Node Matching with A Algorithm for Approximate Graph Edit Distance Computation	2023	Junfeng Liu Min Zhou Shuai Ma Lujia Pan
+	κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning	2023	Meng‐Lin Yang Min Zhou Lujia Pan Irwin King
+	xASTNN: Improved Code Representations for Industrial Practice	2023	Zhiwei Xu Min Zhou Xibin Zhao Yang Chen Xi Cheng Hongyu Zhang
+	Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors	2023	Moritz Neun Christian Eichenberger Martin Henry Markus Spanring Rahul Siripurapu Daniel Springer Leyan Deng Chenwang Wu Defu Lian Min Zhou
+ PDF Chat	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation	2023	Zhihao Zhu Chenwang Wu Min Zhou Hao Liao Defu Lian Enhong Chen
+	UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification	2023	Yan Liang Shengzhong Zhang Bisheng Li Min Zhou Zengfeng Huang
+	MATA: Combining Learnable Node Matching with A Algorithm for Approximate Graph Edit Distance Computation	2023	Junfeng Liu Min Zhou Shuai Ma Lujia Pan
+ PDF Chat	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization	2022	Meng‐Lin Yang Min Zhou Jiahong Liu Defu Lian Irwin King
+	Hyperbolic Graph Neural Networks: A Review of Methods and Applications	2022	Meng‐Lin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King
+	Enhancing Hyperbolic Graph Embeddings via Contrastive Learning	2022	Jiahong Liu Meng‐Lin Yang Min Zhou Shanshan Feng Philippe Fournier‐Viger
+	Boosting Factorization Machines via Saliency-Guided Mixup	2022	Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao
+	Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics	2022	Zhengyang Zhou Kuo Yang Wei Sun Bin‐Wu Wang Min Zhou Yunan Zong Yang Wang
+	Discovering Representative Attribute-stars via Minimum Description Length	2022	Jiahong Liu Min Zhou Philippe Fournier‐Viger Meng‐Lin Yang Lujia Pan Mourad Nouioua
+	Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting	2022	Leyan Deng Chenwang Wu Defu Lian Min Zhou
+	Hyperbolic Graph Representation Learning: A Tutorial	2022	Min Zhou Meng‐Lin Yang Lujia Pan Irwin King
+	Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning	2022	Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He
+	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation	2022	Zhihao Zhu Chenwang Wu Min Zhou Hao Liao Defu Lian Enhong Chen
+ PDF Chat	Imbalanced classification: A paradigm‐based review	2021	Yang Feng Min Zhou Xin Tong
+	Imbalanced classification: an objective-oriented review	2020	Feng Yang Min Zhou Xin Tong
+	Imbalanced classification: a paradigm-based review	2020	Yang Feng Min Zhou Xin Tong
+	A Common Fixed Point Theorem in Complete Metric Spaces	2008	Min Zhou

Common Coauthors

Coauthor	Papers Together
Lujia Pan	8
Defu Lian	7
Meng‐Lin Yang	6
Chenwang Wu	6
Jiahong Liu	4
Enhong Chen	4
Irwin King	4
Xin Tong	3
Tianmeng Yang	2
Hao Liao	2
Philippe Fournier‐Viger	2
Shuai Ma	2
Junfeng Liu	2
Leyan Deng	2
Yunhai Tong	2
Yang Feng	2
Dacheng Tao	2
Moritz Neun	1
Hui Fang	1
Chuan Fu	1
Zhihao Zhu	1
Sepp Hochreiter	1
Bin‐Wu Wang	1
Michael Kopp	1
Bin Cui	1
Zengfeng Huang	1
Boshuai Tan	1
Yue‐Jiao Gong	1
Qing-Long Lu	1
David P. Kreil	1
Zhengyang Zhou	1
Fei Tang	1
Mourad Nouioua	1
Shengzhong Zhang	1
Xi Cheng	1
Bisheng Li	1
Cheng Lyu	1
Junjun Li	1
Yang Chen	1
Zhihao Li	1
Hongyu Zhang	1
Wei Ye	1
Wei Sun	1
Yihui Wu	1
Yuanlong Li	1
Haitao He	1
Yong Ge	1
Yan Liang	1
Xibin Zhao	1
Yujing Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization	2022	Meng‐Lin Yang Min Zhou Jiahong Liu Defu Lian Irwin King	3
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	3
+ PDF Chat	Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space	2021	Meng‐Lin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King	3
+ PDF Chat	An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression	1992	Naomi Altman	2
+ PDF Chat	Neyman-Pearson classification algorithms and NP receiver operating characteristics	2018	Xin Tong Yang Feng Jingyi Jessica Li	2
+	Adaptive Weighted Learning for Unbalanced Multicategory Classification	2008	Xingye Qiao Yufeng Liu	2
+	An Introduction to Statistical Learning	2013	Gareth James Daniela Witten Trevor Hastie Robert Tibshirani	2
+ PDF Chat	Discovering Representative Attribute-stars via Minimum Description Length	2022	Jiahong Liu Min Zhou Philippe Fournier‐Viger Meng‐Lin Yang Lujia Pan Mourad Nouioua	2
+ PDF Chat	Weighted Distance Weighted Discrimination and Its Asymptotic Properties	2010	Xingye Qiao Hao Helen Zhang Yufeng Liu Michael J. Todd J. S. Marron	2
+ PDF Chat	Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation	2022	Yankai Chen Meng‐Lin Yang Yingxue Zhang Mengchen Zhao Ziqiao Meng Jianye Hao Irwin King	2
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	2
+ PDF Chat	Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm	1995	Peter D. Turney	2
+ PDF Chat	Hyperbolic Image Embeddings	2020	Valentin Khrulkov Leyla Mirvakhabova Evgeniya Ustinova Ivan Oseledets Victor Lempitsky	2
+ PDF Chat	Lorentzian Graph Convolutional Networks	2021	Yiding Zhang Xiao Wang Chuan Shi Nian Liu Guojie Song	2
+ PDF Chat	Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	2022	Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song Irwin King	2
+ PDF Chat	FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding	2020	Meng‐Lin Yang Ziqiao Meng Irwin King	2
+ PDF Chat	A Comprehensive Survey on Graph Anomaly Detection With Deep Learning	2021	Xiaoxiao Ma Jia Wu Shan Xue Jian Yang Chuan Zhou Quan Z. Sheng Hui Xiong Leman Akoglu	2
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	2
+ PDF Chat	Graph Pointer Neural Networks	2022	Tianmeng Yang Yujing Wang Zhihan Yue Yaming Yang Yunhai Tong Jing Bai	2
+	Threshold optimization for classification in imbalanced data in a problem of gamma-ray astronomy	2014	Tobias Voigt Roland Fried Michael Backes W. Rhode	2
+	Variational Autoencoders for Collaborative Filtering	2018	Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara	2
+	Contextual and Position-Aware Factorization Machines for Sentiment Classification	2018	Shuai Wang Mianwei Zhou Geli Fei Yi Chang Bing Liu	1
+ PDF Chat	The hyperbolic square and Mobius transformations	2007	Abraham A. Ungar	1
+	Fast context-aware recommendations with factorization machines	2011	Steffen Rendle Zeno Gantner Christoph Freudenthaler Lars Schmidt-Thieme	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation	2016	Defu Lian Zhenyu Zhang Yong Ge Fuzheng Zhang Nicholas Jing Yuan Xing Xie	1
+	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	2017	Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He	1
+	Convex Factorization Machine for Toxicogenomics Prediction	2017	Makoto Yamada Wenzhao Lian Amit Goyal Jianhui Chen Kishan Wimalawarne Suleiman A. Khan Samuel Kaski Hiroshi Mamitsuka Yi Chang	1
+	Ricci curvature of Markov chains on metric spaces	2008	Yann Ollivier	1
+ PDF Chat	The Elements of Statistical Learning	2009	Trevor Hastie Robert Tibshirani Jerome H. Friedman	1
+	STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems	2019	Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King	1
+	Adversarial Examples for Graph Data: Deep Insights into Attack and Defense	2019	Huijun Wu Chen Wang Yuriy Tyshetskiy Andrew Docherty Kai Lü Liming Zhu	1
+	Multilinear Factorization Machines for Multi-Task Multi-View Learning	2017	Chun-Ta Lu Lifang He Weixiang Shao Bokai Cao Philip S. Yu	1
+ PDF Chat	Bochner's Method for Cell Complexes and Combinatorial Ricci Curvature	2003	Robin Forman	1
+	Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild	2015	Linas Baltrunas Karen Church Alexandros Karatzoglou Nuria Oliver	1
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+ PDF Chat	GeniePath: Graph Neural Networks with Adaptive Receptive Paths	2019	Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song Qi Yuan	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+ PDF Chat	Ricci curvature of the Internet topology	2015	Chien-Chun Ni Yu-Yao Lin Jie Gao Xianfeng Gu Emil Saucan	1
+ PDF Chat	Neural Factorization Machines for Sparse Predictive Analytics	2017	Xiangnan He Tat‐Seng Chua	1
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	1
+ PDF Chat	Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks	2019	Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton Jan Eric Lenssen Gaurav Rattan Martin Grohe	1
+	Neyman-Pearson classification, convexity and stochastic constraints	2011	Philippe Rigollet Xin Tong	1
+ PDF Chat	Active Discriminative Text Representation Learning	2017	Ye Zhang Matthew Lease Byron Wallace	1
+ PDF Chat	Ricci curvature and the manifold learning problem	2018	Antonio G. Ache Micah Warren	1
+	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks	2017	Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Fei Wu Tat‐Seng Chua	1
+	Curvature and temperature of complex networks	2009	Dmitri Krioukov Fragkiskos Papadopoulos Amin Vahdat Marián Boguñá	1
+	Adversarial Attacks on Neural Networks for Graph Data	2019	Daniel Zügner Amir Akbarnejad Stephan Günnemann	1
+	Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey	2018	Naveed Akhtar Ajmal Mian	1
+ PDF Chat	Heterogeneous Graph Attention Network	2019	Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui Philip S. Yu	1