Min Zhou

According to our database, Min Zhou authored at least 32 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hyperbolic Temporal Network Embedding.

Menglin Yang, Min Zhou, Hui Xiong, Irwin King

IEEE Trans. Knowl. Data Eng., November, 2023

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation.

Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie

IEEE Trans. Knowl. Data Eng., October, 2023

UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification.

Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang

CoRR, 2023

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.

Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyperbolic Representation Learning: Revisiting and Advancing.

Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

Proceedings of the International Conference on Machine Learning, 2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.

Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation.

Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

CSPM: Discovering compressing stars in attributed graphs.

Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua

Inf. Sci., 2022

Hyperbolic Curvature Graph Neural Network.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

CoRR, 2022

Hyperbolic Graph Representation Learning: A Tutorial.

Min Zhou, Menglin Yang, Lujia Pan, Irwin King

CoRR, 2022

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.

Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou

CoRR, 2022

Boosting Factorization Machines via Saliency-Guided Mixup.

Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao

CoRR, 2022

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction.

Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan

CoRR, 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger

CoRR, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.

Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.

Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.

Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

HICF: Hyperbolic Informative Collaborative Filtering.

Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Discovering Representative Attribute-stars via Minimum Description Length.

Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Scaling Up Graph Neural Networks Via Graph Coarsening.

Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.

Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

A survey of pattern mining in dynamic graphs.

Philippe Fournier-Viger, Ganghuan He, Chao Cheng, Jiaxuan Li, Min Zhou, Jerry Chun-Wei Lin, Unil Yun

WIREs Data Mining Knowl. Discov., 2020

Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks.

Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan

CoRR, 2020

An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks.

Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Discovering Alarm Correlation Rules for Network Fault Management.

Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

2017

Online model regression for nonlinear time-varying manufacturing systems.

Jinwen Hu, Min Zhou, Xiang Li, Zhao Xu

Autom., 2017

2016

Iterative Designed Experiment Analysis (IDEA).

Min Zhou, T. N. Goh

Qual. Reliab. Eng. Int., 2016

Effects of Model Accuracy on Residual Control Charts.

Min Zhou, T. N. Goh

Qual. Reliab. Eng. Int., 2016

Design of model predictive control for time-varying nonlinear system based on gaussian process regression modeling.

Min Zhou, Zhao-Qin Guo, Xiang Li

Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016