Feng Liu

According to our database, Feng Liu authored at least 17 papers between 2015 and 2021.

Collaborative distances:

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

2021

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

CoRR, 2021

2020

TLVANE: a two-level variation model for attributed network embedding.

Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, Yuan Yao

Neural Comput. Appl., 2020

State representation modeling for deep reinforcement learning based recommendation.

Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He

Knowl. Based Syst., 2020

Top-aware reinforcement learning based recommendation.

Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He

Neurocomputing, 2020

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation.

Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye

CoRR, 2020

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.

Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He

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

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.

Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.

Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019

Low-resolution image categorization via heterogeneous domain adaptation.

Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang

Knowl. Based Syst., 2019

A Novel KNN Approach for Session-Based Recommendation.

Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning.

Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.

Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang

CoRR, 2018

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.

Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang

CoRR, 2018

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.

Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs.

Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift.

Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu

Inf. Sci., 2016

2015

MLRF: Multi-label Classification Through Random Forest with Label-Set Partition.

Feng Liu, Xiaofeng Zhang, Yunming Ye, Yahong Zhao, Yan Li

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015