A neural collaborative filtering model with interaction-based neighborhood T Bai, JR Wen, J Zhang, WX Zhao Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 97 | 2017 |
Pseudo Dyna-Q: A reinforcement learning framework for interactive recommendation L Zou, L Xia, P Du, Z Zhang, T Bai, W Liu, JY Nie, D Yin Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 87 | 2020 |
An attribute-aware neural attentive model for next basket recommendation T Bai, JY Nie, WX Zhao, Y Zhu, P Du, JR Wen The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 61 | 2018 |
CTrec: A long-short demands evolution model for continuous-time recommendation T Bai, L Zou, WX Zhao, P Du, W Liu, JY Nie, JR Wen Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 38 | 2019 |
An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation Y Qu, T Bai, W Zhang, J Nie, J Tang Proceedings of the 1st international workshop on deep learning practice for …, 2019 | 37 | 2019 |
Characterizing and predicting early reviewers for effective product marketing on e-commerce websites T Bai, WX Zhao, Y He, JY Nie, JR Wen IEEE Transactions on Knowledge and Data Engineering 30 (12), 2271-2284, 2018 | 32 | 2018 |
Deep adversarial completion for sparse heterogeneous information network embedding K Zhao, T Bai, B Wu, B Wang, Y Zhang, Y Yang, JY Nie Proceedings of The Web Conference 2020, 508-518, 2020 | 21 | 2020 |
Sc-lstm: Learning task-specific representations in multi-task learning for sequence labeling P Lu, T Bai, P Langlais Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 18 | 2019 |
News Graph: An Enhanced Knowledge Graph for News Recommendation. D Liu, T Bai, J Lian, X Zhao, G Sun, JR Wen, X Xie KaRS@ CIKM, 1-7, 2019 | 15 | 2019 |
A long-short demands-aware model for next-item recommendation T Bai, P Du, WX Zhao, JR Wen, JY Nie arXiv preprint arXiv:1903.00066, 2019 | 14 | 2019 |
An experimental study of text representation methods for cross-site purchase preference prediction using the social text data T Bai, HJ Dou, WX Zhao, DY Yang, JR Wen Journal of Computer Science and Technology 32, 828-842, 2017 | 12 | 2017 |
Deep learning for change detection in remote sensing: a review T Bai, L Wang, D Yin, K Sun, Y Chen, W Li, D Li Geo-spatial Information Science, 1-27, 2022 | 10 | 2022 |
Temporal graph neural networks for social recommendation T Bai, Y Zhang, B Wu, JY Nie 2020 IEEE International Conference on Big Data (Big Data), 898-903, 2020 | 10 | 2020 |
Relation-aware hierarchical attention framework for video question answering F Li, T Bai, C Cao, Z Liu, C Yan, B Wu Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021 | 4 | 2021 |
A Contrastive Sharing Model for Multi-Task Recommendation T Bai, Y Xiao, B Wu, G Yang, H Yu, JY Nie Proceedings of the ACM Web Conference 2022, 3239-3247, 2022 | 3 | 2022 |
古诗词图谱的构建及分析研究 刘昱彤, 吴斌, 白婷 计算机研究与发展 57 (06), 132-148, 2020 | 2 | 2020 |
A time interval aware approach for session-based social recommendation Y Zhang, T Bai, B Wu, B Wang Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 2 | 2020 |
Correction to “Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites” T Bai, WX Zhao, Y He, JY Nie, JR Wen IEEE Transactions on Knowledge and Data Engineering 31 (4), 818-818, 2019 | 1 | 2019 |
A Neural Labeled Network Embedding Approach to Product Adopter Prediction Q Gu, T Bai, WX Zhao, JR Wen Information Retrieval Technology: 14th Asia Information Retrieval Societies …, 2018 | 1 | 2018 |
Rollout-Based Charging Strategy for Electric Trucks with Hours-of-Service Regulations T Bai, Y Li, KH Johansson, J Mårtensson arXiv preprint arXiv:2303.08895, 2023 | | 2023 |