Feng Liu

18 papers A 1Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
CoRR
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020 — conf
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
PAKDD (1)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020 — conf
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.
WWW (Companion Volume)
Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020 A conf
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.
WSDM
Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020 J jnl
Inter-sequence Enhanced Framework for Personalized Sequential Recommendation.
CoRR
Feng Liu, Weiwen Liu, Xutao Li, Yunming Ye
2020 J jnl
State representation modeling for deep reinforcement learning based recommendation.
Knowl. Based Syst.
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
2020 J jnl
TLVANE: a two-level variation model for attributed network embedding.
Neural Comput. Appl.
Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, Yuan Yao
2020 J jnl
Top-aware reinforcement learning based recommendation.
Neurocomputing
Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
2019 — conf
A Novel KNN Approach for Session-Based Recommendation.
PAKDD (2)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2019 J jnl
Low-resolution image categorization via heterogeneous domain adaptation.
Knowl. Based Syst.
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang
2019 — conf
Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning.
AIAM (IEEE)
Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang
2018 J jnl
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2018 J jnl
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.
CoRR
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
2018 — conf
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.
DASFAA (2)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018 J jnl
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.
CoRR
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2017 — conf
Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs.
PAKDD (1)
Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen
2016 J jnl
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift.
Inf. Sci.
Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu
2015 — conf
MLRF: Multi-label Classification Through Random Forest with Label-Set Partition.
ICIC (3)
Feng Liu, Xiaofeng Zhang, Yunming Ye, Yahong Zhao, Yan Li