受强制性开放获取政策约束的文章 - Zhuang Liu了解详情
无法在其他位置公开访问的文章：5 篇
Multimodal Contrastive Transformer for Explainable Recommendation
Z Liu, Y Ma, M Schubert, Y Ouyang, W Rong, Z Xiong
IEEE Transactions on Computational Social Systems 11 (2), 2632-2643, 2023
强制性开放获取政策： 国家自然科学基金委员会, Federal Ministry of Education and Research, Germany
MAKT: Multichannel Attention Networks Based Knowledge Tracing with Representation Learning
X Jiang, Y Ouyang, Z Liu, W Rong, Z Xiong
2022 IEEE International Conference on Teaching, Assessment and Learning for …, 2022
强制性开放获取政策： 国家自然科学基金委员会
Predict the next attack location via an attention-based fused-SpatialTemporal LSTM
Z Liu, J Pu, N Zhan, X Liu
2020 29th International Conference on Computer Communications and Networks …, 2020
强制性开放获取政策： 国家自然科学基金委员会
Insight into traffic security: A correlation discovery of urban spatial features and traffic flow patterns
J Pu, Z Liu, Y Wang, X Liu
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs
S Zhang, Y Ouyang, Z Liu, W He, W Rong, Z Xiong
International Conference on Knowledge Science, Engineering and Management …, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：5 篇
Multi-modal contrastive pre-training for recommendation
Z Liu, Y Ma, M Schubert, Y Ouyang, Z Xiong
Proceedings of the 2022 International Conference on Multimedia Retrieval, 99-108, 2022
强制性开放获取政策： 国家自然科学基金委员会, Federal Ministry of Education and Research, Germany
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
Z Liu, Y Ma, M Hildebrandt, Y Ouyang, Z Xiong
Knowledge and Information Systems 64 (8), 2239-2265, 2022
强制性开放获取政策： 国家自然科学基金委员会, Federal Ministry of Education and Research, Germany
PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering
Z Liu, H Li, G Chen, Y Ouyang, W Rong, Z Xiong
Proceedings of the 32nd ACM International Conference on Information and …, 2023
强制性开放获取政策： 国家自然科学基金委员会
Debiased Contrastive Loss for Collaborative Filtering
Z Liu, Y Ma, H Li, M Hildebrandt, Y Ouyang, Z Xiong
International Conference on Knowledge Science, Engineering and Management …, 2023
强制性开放获取政策： 国家自然科学基金委员会, Federal Ministry of Education and Research, Germany
MEMN: Multiple Vectors Embedding for Multi-Label Networks
J Pu, Z Liu, Y Chen, X Liu
IEEE Access 6, 66143-66152, 2018
强制性开放获取政策： 国家自然科学基金委员会
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