Mingyang Zhou

According to our database, Mingyang Zhou authored at least 28 papers between 2015 and 2024.

Collaborative distances:

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

2024

Weak link prediction based on hyper latent distance in complex network.

Mingyang Zhou, Fei Wang, Ze Chen, Ji Wu, Gang Liu, Hao Liao

Expert Syst. Appl., March, 2024

Aligning Large Language Models for Controllable Recommendations.

Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie

CoRR, 2024

2023

Spammer detection via ranking aggregation of group behavior.

Zheng Zhang, Ming-Yang Zhou, Jun Wan, Kezhong Lu, Guoliang Chen, Hao Liao

Expert Syst. Appl., April, 2023

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation.

Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen

Proc. ACM Manag. Data, 2023

Temporal burstiness and collaborative camouflage aware fraud detection.

Zheng Zhang, Jun Wan, Mingyang Zhou, Zhihui Lai, Claudio J. Tessone, Guoliang Chen, Hao Liao

Inf. Process. Manag., 2023

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning.

Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Information diffusion-aware likelihood maximization optimization for community detection.

Zheng Zhang, Jun Wan, Ming-Yang Zhou, Kezhong Lu, Guoliang Chen, Hao Liao

Inf. Sci., 2022

PNR: How to optimally combine different link prediction approaches?

Rong-Qin Xu, Ming-Yang Zhou, Hao Liao

Inf. Sci., 2022

A Joint Learning Framework for Restaurant Survival Prediction and Explanation.

Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Community Splitter: A Network Embedding Method for Predicting Missing Links.

Shuo Wang, Ziqiang Wu, Sheng Bi, Zheng Zhang, Xiaomin Huang, Ming-Yang Zhou, Hao Liao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

A generic Bayesian-based framework for enhancing top-N recommender algorithms.

Ming-Yang Zhou, Rong-Qin Xu, Zi-Ming Wang, Hao Liao

Inf. Sci., 2021

2020

Addressing time bias in bipartite graph ranking for important node identification.

Hao Liao, Jiao Wu, Yifan Mao, Ming-Yang Zhou, Alexandre Vidmer, Kezhong Lu

Inf. Sci., 2020

COVID-19 Plateau: A Phenomenon of Epidemic Development under Adaptive Prevention Strategies.

Ziqiang Wu, Hao Liao, Alexandre Vidmer, Ming-Yang Zhou, Wei Chen

CoRR, 2020

RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems.

Rong-Qin Xu, Ming-Yang Zhou, Hao Liao

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

A Deep Concept-aware Model for predicting and explaining restaurant future status.

Hao Liao, Xiaojie Zhang, Xin Li, Ming-Yang Zhou, Alexandre Vidmer, Rui Mao

Proceedings of the 2020 IEEE International Conference on Web Services, 2020

2019

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay.

Hao Liao, Ming-Kai Liu, Manuel Sebastian Mariani, Ming-Yang Zhou, Xing-Tong Wu

Inf. Sci., 2019

Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification.

Hao Liao, Jiao Wu, Ming-Yang Zhou, Alexandre Vidmer

CoRR, 2019

Learning the optimally coordinated routes from the statistical mechanics of polymers.

Hao Liao, Xing-Tong Wu, Ming-Yang Zhou, Chi Ho Yeung

CoRR, 2019

RNC: Reliable Network Property Classifier Based on Graph Embedding.

Hao Liao, Qi-Xin Liu, Alexandre Vidmer, Ming-Yang Zhou, Rui Mao

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

2018

The Middle-Income Trap and the Coping Strategies From Network-Based Perspectives.

Ming-Yang Zhou, Wen-Man Xiong, Xiao-Yu Li, Hao Liao

Entropy, 2018

Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative.

Hao Liao, Xiao-Min Huang, Alexandre Vidmer, Yi-Cheng Zhang, Ming-Yang Zhou

Entropy, 2018

Quantifying the Robustness of Countries' Competitiveness by Network-Based Methods.

Ming-Yang Zhou, Xiao-Yu Li, Wen-Man Xiong, Hao Liao

Complex., 2018

Enhancing Countries' Fitness with Recommender Systems on the International Trade Network.

Hao Liao, Xiao-Min Huang, Xing-Tong Wu, Ming-Kai Liu, Alexandre Vidmer, Ming-Yang Zhou, Yi-Cheng Zhang

Complex., 2018

2017

Hidden space reconstruction inspires link prediction in complex networks.

Hao Liao, Ming-Yang Zhou, Zong-Wen Wei, Rui Mao, Alexandre Vidmer, Yi-Cheng Zhang

CoRR, 2017

Ranking in evolving complex networks.

Hao Liao, Manuel Sebastian Mariani, Matús Medo, Yi-Cheng Zhang, Ming-Yang Zhou

CoRR, 2017

Connecting Patterns Inspire Link Prediction in Complex Networks.

Ming-Yang Zhou, Hao Liao, Wen-Man Xiong, Xiang-yang Wu, Zong-Wen Wei

Complex., 2017

Information mining in weighted complex networks with nonlinear rating projection.

Hao Liao, An Zeng, Ming-Yang Zhou, Rui Mao, Bing-Hong Wang

Commun. Nonlinear Sci. Numer. Simul., 2017

2015

Enhancing speed of pinning synchronizability: low-degree nodes with high feedback gains.

Ming-Yang Zhou, Zhao Zhuo, Hao Liao, Zhong-Qian Fu, Shi-Min Cai

CoRR, 2015