Min Zhou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 50

Top Topics

Active Learning

Alarm Correlation

Graph Representation

Top Venues

IEEE Trans. Knowl. Data Eng.

Qual. Reliab. Eng. Int.

Publications

Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
Attacking Social Media via Behavior Poisoning. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. KDD (2024)
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
Foundations and Frontiers of Graph Learning Theory. CoRR (2024)
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. CoRR (2024)
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD (2023)
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CoRR (2023)
Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR (2023)
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM (2023)
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. ICML (2023)
Menglin Yang, Min Zhou, Hui Xiong, Irwin King
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD (2023)
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CoRR (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR (2023)
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CIKM (2023)
Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR (2022)
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR (2022)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. KDD (2022)
Min Zhou, Menglin Yang, Lujia Pan, Irwin King
Hyperbolic Graph Representation Learning: A Tutorial. CoRR (2022)
Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) (2022)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR (2022)
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR (2022)
Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR (2022)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
Hyperbolic Curvature Graph Neural Network. CoRR (2022)
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua
CSPM: Discovering compressing stars in attributed graphs. Inf. Sci. 611 (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. ICDE (2022)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR (2022)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. CoRR (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. CoRR (2022)
Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR (2022)
Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR (2022)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR (2021)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD (2021)
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. CoRR (2021)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR (2021)
Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) (2021)
Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu
Discovering Alarm Correlation Rules for Network Fault Management. ICSOC Workshops (2020)
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks. ICSOC Workshops (2020)
Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR (2020)
Philippe Fournier-Viger, Ganghuan He, Chao Cheng, Jiaxuan Li, Min Zhou, Jerry Chun-Wei Lin, Unil Yun
A survey of pattern mining in dynamic graphs. WIREs Data Mining Knowl. Discov. 10 (6) (2020)
Jinwen Hu, Min Zhou, Xiang Li, Zhao Xu
Online model regression for nonlinear time-varying manufacturing systems. Autom. 78 (2017)
Min Zhou, T. N. Goh
Effects of Model Accuracy on Residual Control Charts. Qual. Reliab. Eng. Int. 32 (5) (2016)
Min Zhou, T. N. Goh
Iterative Designed Experiment Analysis (IDEA). Qual. Reliab. Eng. Int. 32 (8) (2016)
Min Zhou, Zhao-Qin Guo, Xiang Li
Design of model predictive control for time-varying nonlinear system based on gaussian process regression modeling. ETFA (2016)