MEMN: Multiple Vectors Embedding for Multi-Label Networks. - Juhua Pu; Zhuang Liu 004; Yujun Chen; Xingwu Liu (IEEE Access, 2018)

Predict the Next Attack Location via An Attention-based Fused-SpatialTemporal LSTM. - Zhuang Liu 004; Juhua Pu; Nana Zhan; Xingwu Liu (ICCCN, 2020)

Insight into traffic security: A correlation discovery of urban spatial features and traffic flow patterns. - Juhua Pu; Zhuang Liu 004; Yue Wang 030; Xingwu Liu (DSN Workshops, 2021)

Contrastive Learning for Recommender System. - Zhuang Liu 004; Yunpu Ma; Yuanxin Ouyang; Zhang Xiong 001 (CoRR, 2021)

Multi-Modal Contrastive Pre-training for Recommendation. - Zhuang Liu 004; Yunpu Ma; Matthias Schubert; Yuanxin Ouyang; Zhang Xiong 001 (ICMR, 2022)

MAKT: Multichannel Attention Networks based Knowledge Tracing with Representation Learning. - Xuyang Jiang; Yuanxin Ouyang; Zhuang Liu 004; Wenge Rong; Zhang Xiong 001 (TALE, 2022)

Reinforcement Learning-Based Explainable Recommendation over Knowledge Graphs with Negative Sampling. - Siyuan Zhang; Yuanxin Ouyang; Zhuang Liu 004; Wenge Rong; Zhang Xiong 001 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations. - Zhuang Liu 004; Yunpu Ma; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (Knowl. Inf. Syst., 2022)

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. - Zhuang Liu 004; Haoxuan Li 003; Guanming Chen; Yuanxin Ouyang; Wenge Rong; Zhang Xiong 001 (CIKM, 2023)

Multi-level and Multi-interest User Interest Modeling for News Recommendation. - Yun Hou; Yuanxin Ouyang; Zhuang Liu 004; Fujing Han; Wenge Rong; Zhang Xiong 001 (KSEM (3), 2023)

Debiased Contrastive Loss for Collaborative Filtering. - Zhuang Liu 004; Yunpu Ma; Haoxuan Li 003; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (KSEM (3), 2023)

Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs. - Siyuan Zhang; Yuanxin Ouyang; Zhuang Liu 004; Weijie He; Wenge Rong; Zhang Xiong 001 (KSEM (3), 2023)

SACL: Siamese Adaptive Contrastive Learning for Recommendation. - Shikang Bao; Zhuang Liu 004; Chen Li 046; Jianfei Zhang 003; Guanming Chen; Yuanxin Ouyang; Wenge Rong (IJCNN, 2024)

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects. - Zhang Xiong 001; Haoxuan Li 003; Zhuang Liu 004; Zhuofan Chen; Hao Zhou; Wenge Rong; Yuanxin Ouyang (CoRR, 2024)

Explainable Few-shot Knowledge Tracing. - Haoxuan Li 003; Jifan Yu; Yuanxin Ouyang; Zhuang Liu 004; Wenge Rong; Juanzi Li; Zhang Xiong 001 (CoRR, 2024)

Multimodal Contrastive Transformer for Explainable Recommendation. - Zhuang Liu 004; Yunpu Ma; Matthias Schubert; Yuanxin Ouyang; Wenge Rong; Zhang Xiong 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Wasserstein Dependent Graph Attention Network for Collaborative Filtering With Uncertainty. - Haoxuan Li 003; Yuanxin Ouyang; Zhuang Liu 004; Wenge Rong; Zhang Xiong 001 (IEEE Trans. Comput. Soc. Syst., 2025)