Huifeng Guo - Concepedia

Author

Huifeng Guo

Also Known As

Chen, Haokun, Guo, Huifeng, Huifeng GUO, Huifeng Guo, Tang, Ruiming, Wang, Maolin, Wang, Yichao, Wang, Yuhao, Wu, Chuhan, Zhenyu Wu

150

Publications

5.2K

Citations

H-Index

Concepts

All Affiliations

Huawei Technologies (China)City University of Hong Kong Harbin Institute of Technology Huawei Technologies (Canada)Shanghai Jiao Tong University

About

Huifeng Guo is an author at Huawei Technologies (China) specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	36	3.9K
2	Business	4	4	327
3	Arts	2	2	79
4	Management	2	2	80
5	Public Health	1	1	11

Huifeng Guo

Publications

4.9K

Citations

H-Index

Page 1

	Year	Citations
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, EngineeringMachine LearningRecurrent Neural NetworkMixture Of ExpertSophisticated Feature Interactions	2017	2.2K
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, arXiv (Cornell University)	2017	539
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data Yanru Qu, Bohui Fang, Weinan Zhang, ACM Transactions on Information Systems Artificial IntelligenceEngineeringMachine LearningAutoencodersUser Response Prediction	2018	219
Neighbor Interaction Aware Graph Convolution Networks for Recommendation Jianing Sun, Yingxue Zhang, Wei Guo, Network ScienceGraph TheoryData ScienceMachine LearningMany Online Services	2020	165
Multi-graph Convolution Collaborative Filtering Jianing Sun, Yingxue Zhang, Chen Ma, Graph Neural NetworkEngineeringInformation RetrievalGraph TheoryData Science	2019	143
How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin, Xinyi Dai, Yunjia Xi, ACM Transactions on Information Systems	2024	128
Diffusion Augmentation for Sequential Recommendation Qidong Liu, Yan Bin Fan, Xiangyu Zhao, Diffusion AugmentationEngineeringMachine LearningSequential LearningText Mining	2023	90
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks Jianing Sun, Wei Guo, Dengcheng Zhang, EngineeringMachine LearningOnline Consumption PlatformsGraph ProcessingText Mining	2020	87
Multi-Behavior Sequential Transformer Recommender Enming Yuan, Wei Guo, Zhicheng He, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval Diverse Sequential PatternsEngineeringMachine LearningData ScienceData Mining	2022	86
State representation modeling for deep reinforcement learning based recommendation Feng Liu, Ruiming Tang, Xutao Li, Knowledge-Based Systems Artificial IntelligenceEngineeringMachine LearningDeep Reinforcement LearningState Representation	2020	70

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