Shaoping Ma - Concepedia

Author

Shaoping Ma

Tsinghua University ORCID

Also Known As

J.-L Van Laethem, Liu, Yiqun, Ma Shao-Ping, Ma Shaoping, Ma, Shaoping, S Ma, S. Ma, S.J. Ma, Shao-Ping MA, Shao-Ping Ma

469

Publications

10.5K

Citations

H-Index

230

Concepts

All Affiliations

Tsinghua University Renmin University of China

About

Shaoping Ma is an author at Tsinghua University specializing in engineering, data science, and information retrieval.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	45	131	7.4K
2	Arts	18	26	1.2K
3	Language Studies	12	12	635
4	Business	8	8	542
5	Education	1	1	94

Shaoping Ma

170

Publications

9.4K

Citations

H-Index

Page 1

	Year	Citations
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis Yongfeng Zhang, Guokun Lai, Min Zhang, EngineeringMachine LearningText MiningNatural Language ProcessingInformation Retrieval	2014	783
Neural Attentional Rating Regression with Review-level Explanations Chong Chen, Min Zhang, Yiqun Liu, EngineeringMachine LearningAttentionReviews InformationText Mining	2018	612
A Survey on the Fairness of Recommender Systems Yifan Wang, Weizhi Ma, Min Zhang, ACM Transactions on Information Systems	2022	300
How good your recommender system is? A survey on evaluations in recommendation Thiago Silveira, Min Zhang, Lin Xiao, International Journal of Machine Learning and Cybernetics	2017	256
Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Ranking AlgorithmEngineeringMachine LearningDense RetrievalQuery Model	2021	227
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Weizhi Ma, Min Zhang, Yue Cao,	2019	213
Relevance feedback in content-based image retrieval: bayesian framework, feature subspaces, and progressive learning Zhong Su, Shengze Li, Shaoping Ma IEEE Transactions on Image Processing EngineeringMachine LearningImage RetrievalFeature Subspace ExtractionBayesian Framework	2003	208
Efficient Neural Matrix Factorization without Sampling for Recommendation Chong Chen, Min Zhang, Yongfeng Zhang, ACM Transactions on Information Systems Artificial IntelligenceLarge Ai ModelEngineeringMachine LearningData Science	2020	195
Graph Heterogeneous Multi-Relational Recommendation Chong Chen, Weizhi Ma, Min Zhang, Proceedings of the AAAI Conference on Artificial Intelligence EngineeringMachine LearningSemantic WebInformation RetrievalData Science	2021	189
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation Chong Chen, Min Zhang, Yongfeng Zhang, Proceedings of the AAAI Conference on Artificial Intelligence Training EfficiencyEngineeringMachine LearningEfficient LearningInformation Retrieval	2020	173

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