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Min Zhou 0006
Person information
- affiliation: Huawei Technologies Co. Ltd, Shenzhen, China
- affiliation (PhD 2016): National University of Singapore, ndustrial and Systems Engineering Department
Other persons with the same name
- Min Zhou — disambiguation page
- Min Zhou 0001
— Tsinghua University, School of Software, Beijing, China
- Min Zhou 0002
- Min Zhou 0003
- Min Zhou 0004
- Min Zhou 0005
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2020 – today
- 2024
- [j9]Chenwang Wu
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j8]Chenwang Wu
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [c20]Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong:
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning. CIKM 2024: 4178-4182 - [c19]Kaidi Li
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. KDD 2024: 5329-5338 - [c18]Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li:
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML/PKDD (3) 2024: 284-300 - [i24]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 abs/2406.11389 (2024) - [i23]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 abs/2407.03125 (2024) - [i22]Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong:
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning. CoRR abs/2408.00700 (2024) - 2023
- [j7]Xuemeng Song
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10072-10084 (2023) - [j6]Menglin Yang
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11489-11502 (2023) - [c17]Junfeng Liu
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CIKM 2023: 1503-1512 - [c16]Tianmeng Yang
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. CIKM 2023: 4380-4384 - [c15]Junfeng Liu, Liwei Ni, Xingquan Li
AiMap: Learning to Improve Technology Mapping for ASICs via Delay Prediction. ICCD 2023: 344-347 - [c14]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c13]Menglin Yang
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD 2023: 2965-2977 - [c12]Min Zhou
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD 2023: 5843-5844 - [i21]Moritz Neun, Christian Eichenberger
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i20]Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang:
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR abs/2303.10371 (2023) - [i19]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR abs/2306.09118 (2023) - [i18]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 abs/2308.08823 (2023) - [i17]Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan:
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation. CoRR abs/2311.02356 (2023) - 2022
- [j5]Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua:
CSPM: Discovering compressing stars in attributed graphs. Inf. Sci. 611: 126-158 (2022) - [c11]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. ICDE 2022: 68-80 - [c10]Menglin Yang, Zhihao Li
HICF: Hyperbolic Informative Collaborative Filtering. KDD 2022: 2212-2221 - [c9]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c8]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR 2022: 2053-2058 - [c7]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW 2022: 2462-2471 - [i16]Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger:
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR abs/2201.08554 (2022) - [i15]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 abs/2202.13852 (2022) - [i14]Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan:
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR abs/2204.07703 (2022) - [i13]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR abs/2204.08176 (2022) - [i12]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR abs/2204.09508 (2022) - [i11]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. CoRR abs/2204.12704 (2022) - [i10]Chenwang Wu, Defu Lian
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i9]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. CoRR abs/2207.09051 (2022) - [i8]Leyan Deng, Chenwang Wu, Defu Lian
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR abs/2211.00641 (2022) - [i7]Min Zhou, Menglin Yang, Lujia Pan, Irwin King
Hyperbolic Graph Representation Learning: A Tutorial. CoRR abs/2211.04050 (2022) - [i6]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - [i5]Menglin Yang, Min Zhou, Lujia Pan, Irwin King
Hyperbolic Curvature Graph Neural Network. CoRR abs/2212.01793 (2022) - 2021
- [c6]Zengfeng Huang
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD 2021: 675-684 - [c5]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD 2021: 1975-1985 - [c4]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: 251-278 - [e2]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i4]Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye:
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks. CoRR abs/2105.03092 (2021) - [i3]Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR abs/2106.05150 (2021) - [i2]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR abs/2107.03767 (2021) - 2020
- [j4]Philippe Fournier-Viger
A survey of pattern mining in dynamic graphs. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [c3]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: 124-136 - [c2]Philippe Fournier-Viger
Discovering Alarm Correlation Rules for Network Fault Management. ICSOC Workshops 2020: 228-239 - [i1]Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan:
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks. CoRR abs/2009.09849 (2020)
2010 – 2019
- 2017
- [j3]Jinwen Hu, Min Zhou, Xiang Li, Zhao Xu:
Online model regression for nonlinear time-varying manufacturing systems. Autom. 78: 163-173 (2017) - 2016
- [j2]Min Zhou, T. N. Goh:
Effects of Model Accuracy on Residual Control Charts. Qual. Reliab. Eng. Int. 32(5): 1785-1794 (2016) - [j1]Min Zhou, T. N. Goh:
Iterative Designed Experiment Analysis (IDEA). Qual. Reliab. Eng. Int. 32(8): 2977-2986 (2016) - [c1]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: 1-6
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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