MLRF: Multi-label Classification Through Random Forest with Label-Set Partition. - Feng Liu 034; Xiaofeng Zhang 002; Yunming Ye; Yahong Zhao; Yan Li 040 (ICIC (3), 2015)

Dynamic Clustering Forest: An ensemble framework to efficiently classify textual data stream with concept drift. - Ge Song; Yunming Ye; Haijun Zhang 002; Xiaofei Xu; Raymond Y. K. Lau; Feng Liu 034 (Inf. Sci., 2016)

Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs. - Zhichao Huang 001; Yunming Ye; Xutao Li; Feng Liu 034; Huajie Chen (PAKDD (1), 2017)

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Huifeng Guo; Xiuqiang He 001 (DASFAA (2), 2018)

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (CoRR, 2018)

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang (CoRR, 2018)

Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning. - Jianhua Han; Yong Yu 001; Feng Liu 034; Ruiming Tang; Yuzhou Zhang (AIAM (IEEE), 2019)

A Novel KNN Approach for Session-Based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (PAKDD (2), 2019)

Low-resolution image categorization via heterogeneous domain adaptation. - Yuan Yao 016; Xutao Li; Yunming Ye; Feng Liu 034; Michael K. Ng 001; Zhichao Huang 001; Yu Zhang 006 (Knowl. Based Syst., 2019)

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (PAKDD (1), 2020)

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. - Feng Liu 034; Huifeng Guo; Xutao Li; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WSDM, 2020)

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. - Feng Liu 034; Wei Guo 006; Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2020)

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation. - Feng Liu 034; Weiwen Liu; Xutao Li; Yunming Ye (CoRR, 2020)

Top-aware reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Huifeng Guo; Xutao Li; Yunming Ye; Xiuqiang He 001 (Neurocomputing, 2020)

State representation modeling for deep reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Xutao Li; Weinan Zhang 001; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang; Xiuqiang He 001 (Knowl. Based Syst., 2020)

TLVANE: a two-level variation model for attributed network embedding. - Zhichao Huang 001; Xutao Li; Yunming Ye; Feng Li 022; Feng Liu 034; Yuan Yao 016 (Neural Comput. Appl., 2020)

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2021)