Feng Liu

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Top Venues

Knowl. Based Syst.

Publications

Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, Yuan Yao
TLVANE: a two-level variation model for attributed network embedding. Neural Comput. Appl. 32 (9) (2020)
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
State representation modeling for deep reinforcement learning based recommendation. Knowl. Based Syst. 205 (2020)
Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
Top-aware reinforcement learning based recommendation. Neurocomputing 417 (2020)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
A Novel KNN Approach for Session-Based Recommendation. PAKDD (2) (2019)
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang
Low-resolution image categorization via heterogeneous domain adaptation. Knowl. Based Syst. 163 (2019)
Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang
Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning. AIAM (IEEE) (2019)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. CoRR (2018)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. CoRR (2018)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. DASFAA (2) (2018)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. CoRR (2018)
Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, Huajie Chen
Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs. PAKDD (1) (2017)
Ge Song, Yunming Ye, Haijun Zhang, Xiaofei Xu, Raymond Y. K. Lau, Feng Liu
Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift. Inf. Sci. 357 (2016)
Feng Liu, Xiaofeng Zhang, Yunming Ye, Yahong Zhao, Yan Li
MLRF: Multi-label Classification Through Random Forest with Label-Set Partition. ICIC (3) (2015)