Min Zhou

63 papers A* 10A 3C 2Journal 37Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graph Batch Coarsening framework for scalable graph neural networks.
Neural Networks
Shengzhong Zhang, Yimin Zhang, Bisheng Li, Wenjie Yang, Min Zhou, Zengfeng Huang
2025 — conf
Hyperbolic Multi-semantic Transition for Next POI Recommendation.
WWW (Companion Volume)
Hongliang Qiao, Shanshan Feng, Min Zhou, Wentao Li, Fan Li
2025 J jnl
Low-Rank Adaptation for Foundation Models: A Comprehensive Review.
CoRR
Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying
2025 — conf
M
KDD (2)
Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025 J jnl
M
CoRR
Hongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025 — conf
SmartMem: Memory Failure Prediction Challenge at WWW 2025.
WWW (Companion Volume)
Min Zhou, Hongyi Xie, Qiao Yu, Jialiang Yu, Zhenli Sheng
2024 J jnl
Attacking Social Media via Behavior Poisoning.
ACM Trans. Knowl. Discov. Data
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
2024 J jnl
Boosting Factorization Machines via Saliency-Guided Mixup.
IEEE Trans. Pattern Anal. Mach. Intell.
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2024 — conf
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.
ECML/PKDD (3)
Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li
2024 J jnl
Foundations and Frontiers of Graph Learning Theory.
CoRR
Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
2024 — conf
Investigating Memory Failure Prediction Across CPU Architectures.
DSN-S
Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
2024 J jnl
Investigating Memory Failure Prediction Across CPU Architectures.
CoRR
Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao
2024 A* conf
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.
KDD
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
2024 J jnl
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.
CoRR
Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
2024 A conf
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning.
CIKM
Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong
2024 J jnl
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning.
CoRR
Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong
2023 C conf
AiMap: Learning to Improve Technology Mapping for ASICs via Delay Prediction.
ICCD
Junfeng Liu, Liwei Ni, Xingquan Li, Min Zhou, Lei Chen, Xing Li, Qinghua Zhao, Shuai Ma
2023 A* conf
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.
KDD
Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
2023 A* conf
Hyperbolic Representation Learning: Revisiting and Advancing.
ICML
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023 J jnl
Hyperbolic Representation Learning: Revisiting and Advancing.
CoRR
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
2023 J jnl
Hyperbolic Temporal Network Embedding.
IEEE Trans. Knowl. Data Eng.
Menglin Yang, Min Zhou, Hui Xiong, Irwin King
2023 A conf
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation.
CIKM
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
2023 J jnl
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation.
CoRR
Junfeng Liu, Min Zhou, Shuai Ma, Lujia Pan
2023 J jnl
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie
2023 A conf
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.
CIKM
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
2023 J jnl
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.
CoRR
Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong
2023 J jnl
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
CoRR
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
2023 J jnl
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification.
CoRR
Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
2023 A* conf
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.
KDD
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022 A* conf
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.
SIGIR
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022 J jnl
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.
CoRR
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022 J jnl
Boosting Factorization Machines via Saliency-Guided Mixup.
CoRR
Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2022 J jnl
CSPM: Discovering compressing stars in attributed graphs.
Inf. Sci.
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua
2022 A* conf
Discovering Representative Attribute-stars via Minimum Description Length.
ICDE
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022 J jnl
Discovering Representative Attribute-stars via Minimum Description Length.
CoRR
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
2022 J jnl
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.
CoRR
Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger
2022 A* conf
HICF: Hyperbolic Informative Collaborative Filtering.
KDD
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
2022 J jnl
HICF: Hyperbolic Informative Collaborative Filtering.
CoRR
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
2022 A* conf
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.
WWW
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022 J jnl
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.
CoRR
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022 J jnl
Hyperbolic Curvature Graph Neural Network.
CoRR
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022 J jnl
Hyperbolic Graph Neural Networks: A Review of Methods and Applications.
CoRR
Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
2022 J jnl
Hyperbolic Graph Representation Learning: A Tutorial.
CoRR
Min Zhou, Menglin Yang, Lujia Pan, Irwin King
2022 — conf
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.
ECML/PKDD (3)
Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022 J jnl
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.
CoRR
Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022 J jnl
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction.
CoRR
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
2022 J jnl
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.
CoRR
Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou
2021 J jnl
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks.
CoRR
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
2021 A* conf
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.
KDD
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021 J jnl
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.
CoRR
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
2021 — ed.
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
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
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
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 A* conf
Scaling Up Graph Neural Networks Via Graph Coarsening.
KDD
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2021 J jnl
Scaling Up Graph Neural Networks Via Graph Coarsening.
CoRR
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2021 — conf
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)
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
2020 J jnl
A survey of pattern mining in dynamic graphs.
WIREs Data Mining Knowl. Discov.
Philippe Fournier-Viger, Ganghuan He, Chao Cheng, Jiaxuan Li, Min Zhou, Jerry Chun-Wei Lin, Unil Yun
2020 — conf
An Influence-Based Approach for Root Cause Alarm Discovery in Telecom Networks.
ICSOC Workshops
Keli Zhang, Marcus Kalander, Min Zhou, Xi Zhang, Junjian Ye
2020 — conf
Discovering Alarm Correlation Rules for Network Fault Management.
ICSOC Workshops
Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu
2020 J jnl
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks.
CoRR
Marcus Kalander, Min Zhou, Chengzhi Zhang, Hanling Yi, Lujia Pan
2017 J jnl
Online model regression for nonlinear time-varying manufacturing systems.
Autom.
Jinwen Hu, Min Zhou, Xiang Li, Zhao Xu
2016 C conf
Design of model predictive control for time-varying nonlinear system based on gaussian process regression modeling.
ETFA
Min Zhou, Zhao-Qin Guo, Xiang Li
2016 J jnl
Effects of Model Accuracy on Residual Control Charts.
Qual. Reliab. Eng. Int.
Min Zhou, T. N. Goh
2016 J jnl
Iterative Designed Experiment Analysis (IDEA).
Qual. Reliab. Eng. Int.
Min Zhou, T. N. Goh