| 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021 X Zhu, K Lee, G Zhou, B Jiang, Z Wang, R Tang, K Ren, Q Ai, W Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | | 2021 |
| 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs M Wang, Q Gan, D Wipf, Z Cai, N Li, J Tang, Y Zhang, Z Zhang, Z Mao, ... arXiv preprint arXiv:2404.18209, 2024 | | 2024 |
| 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022 R Corizzo, J Ge, C Bellinger, X Zhu, P Branco, K Lee, N Japkowicz, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | | 2022 |
| A bird's-eye view of reranking: from list level to page level Y Xi, J Lin, W Liu, X Dai, W Zhang, R Zhang, R Tang, Y Yu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 19 | 2023 |
| A bootstrapping framework with interactive information modeling for network alignment X Cao, W Zhang, Y Yu IEEE Access 6, 13685-13696, 2018 | 7 | 2018 |
| A Comprehensive Survey on Retrieval Methods in Recommender Systems J Huang, J Chen, J Lin, J Qin, Z Feng, W Zhang, Y Yu arXiv preprint arXiv:2407.21022, 2024 | | 2024 |
| A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems Y Xi, H Wang, B Chen, J Lin, M Zhu, W Liu, R Tang, W Zhang, Y Yu arXiv preprint arXiv:2408.05676, 2024 | | 2024 |
| A Deep Recurrent Survival Model for Unbiased Ranking J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai SIGIR 2020, 2020 | 26 | 2020 |
| A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling X Zhu, P Du, S Shao, C Zhu, W Zhang, Y Wang, Y Cao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data H Ma, Z Dong, M Chen, W Sheng, Y Li, W Zhang, S Zhang, Y Yu Journal of Biomedical Informatics 134, 104210, 2022 | 3 | 2022 |
| A graph-based interaction model for knowledge tracing Y Yang, J Shen, Y Qu, Y Liu, K Wang, Y Zhu, W Zhang, YY Gikt arXiv preprint arXiv:2009.05991, 2020 | | 2020 |
| A graph-enhanced click model for web search J Lin, W Liu, X Dai, W Zhang, S Li, R Tang, X He, J Hao, Y Yu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 35 | 2021 |
| A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks H Li, X Xu, C Liu, T Ren, K Wu, X Cao, W Zhang, Y Yu, D Song Oakland (S&P) 2018, 2018 | 52 | 2018 |
| A Neural Stochastic Volatility Model R Luo, W Zhang, X Xu, J Wang AAAI 2018, 2018 | 84 | 2018 |
| A semantic approach to recommending text advertisements for images W Zhang, L Tian, X Sun, H Wang, Y Yu Proceedings of the sixth ACM conference on Recommender systems, 179-186, 2012 | 4 | 2012 |
| A Semantic-Driven Music Recommendation Model for Digital Photo Albums J Chao, H Wang, W Zhou, W Zhang, Y Yu Semantic Web and Web Science, 369-381, 2013 | 1 | 2013 |
| A Study of AI Population Dynamics with Million-agent Reinforcement Learning Y Yang, L Yu, Y Bai, J Wang, W Zhang, W Ying, Y Yu AAMAS 2018, 2018 | 45* | 2018 |
| A survey on bid optimization in real-time bidding display advertising W Ou, B Chen, X Dai, W Zhang, W Liu, R Tang, Y Yu ACM Transactions on Knowledge Discovery from Data 18 (3), 1-31, 2023 | 1 | 2023 |
| A survey on model-based reinforcement learning FM Luo, T Xu, H Lai, XH Chen, W Zhang, Y Yu Science China Information Sciences 67 (2), 121101, 2024 | 81 | 2024 |
| AARL: Automated Auxiliary Loss for Reinforcement Learning T He, Y Zhang, K Ren, C Wang, W Zhang, D Li, Y Yang | 1 | 2022 |
Yong Yu (俞勇)Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
