Effective public service delivery supported by time-decayed Bayesian personalized ranking. - Bin Liu 076; Tao Chen; Peng Jia; Lin Wang 001 (Knowl. Based Syst., 2020)

Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation. - Shenghao Liu; Bang Wang 001; Bin Liu 076; Laurence T. Yang (PAKDD (3), 2022)

Negative Sampling for Recommendation. - Bin Liu 076; Bang Wang 001 (CoRR, 2022)

Bayesian Negative Sampling for Recommendation. - Bin Liu 076; Bang Wang 001 (ICDE, 2023)

Bayesian Self-Supervised Contrastive Learning. - Bin Liu 076; Bang Wang 001 (CoRR, 2023)

Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling. - Bin Liu 076; Erjia Chen; Bang Wang 001 (CoRR, 2023)

Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback. - Bin Liu 076; Qin Luo; Bang Wang (CoRR, 2023)

Pairwise learning for personalized ranking with noisy comparisons. - Bin Liu 076; Bang Wang 001 (Inf. Sci., 2023)

Learning Contrastive Feature Representations for Facial Action Unit Detection. - Ziqiao Shang; Bin Liu 076; Fei Teng 001; Tianrui Li 004 (CoRR, 2024)

Facial Action Unit detection based on multi-task learning strategy for unlabeled facial images in the wild. - Ziqiao Shang; Bin Liu 076 (Expert Syst. Appl., 2024)

Debiased Pairwise Learning for Implicit Collaborative Filtering. - Bin Liu 076; Qin Luo; Bang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Self-supervised contrastive learning for implicit collaborative filtering. - Shipeng Song; Bin Liu 076; Fei Teng 001; Tianrui Li 004 (Eng. Appl. Artif. Intell., 2025)

Adaptive federated class-Incremental learning for reducing catastrophic forgetting. - Zhiyan You; Jielei Chu; Zhaoyu Li; Bin Liu 076; Tianrui Li 001 (Expert Syst. Appl., 2025)