| Reinforced Negative Sampling for Recommendation with Exposure Data. J Ding, Y Quan, X He, Y Li, D Jin IJCAI, 2230-2236, 2019 | 82 | 2019 |
| Improving Implicit Recommender Systems with View Data. J Ding, G Yu, X He, Y Quan, Y Li, TS Chua, D Jin, J Yu IJCAI, 3343-3349, 2018 | 68 | 2018 |
| An improved sampler for bayesian personalized ranking by leveraging view data J Ding, F Feng, X He, G Yu, Y Li, D Jin Companion Proceedings of the The Web Conference 2018, 13-14, 2018 | 67 | 2018 |
| Characterizing the spatio-temporal inhomogeneity of mobile traffic in large-scale cellular data networks H Wang, J Ding, Y Li, P Hui, J Yuan, D Jin Proceedings of the 7th International Workshop on Hot Topics in Planet-scale …, 2015 | 55 | 2015 |
| Simplify and robustify negative sampling for implicit collaborative filtering J Ding, Y Quan, Q Yao, Y Li, D Jin Advances in Neural Information Processing Systems 33, 1094-1105, 2020 | 38 | 2020 |
| Sampler design for bayesian personalized ranking by leveraging view data J Ding, G Yu, X He, F Feng, Y Li, D Jin IEEE transactions on knowledge and data engineering 33 (2), 667-681, 2019 | 36 | 2019 |
| Learning from hometown and current city: Cross-city POI recommendation via interest drift and transfer learning J Ding, G Yu, Y Li, D Jin, H Gao Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 22 | 2019 |
| Improving implicit recommender systems with auxiliary data J Ding, G Yu, Y Li, X He, D Jin ACM Transactions on Information Systems (TOIS) 38 (1), 1-27, 2020 | 20 | 2020 |
| Measurement-driven modeling for connection density and traffic distribution in large-scale urban mobile networks J Ding, R Xu, Y Li, P Hui, D Jin IEEE Transactions on Mobile Computing 17 (5), 1105-1118, 2017 | 13 | 2017 |
| Time dependent pricing for large-scale mobile networks of urban environment: Feasibility and adaptability J Ding, Y Li, P Zhang, D Jin IEEE Transactions on Services Computing 13 (3), 559-571, 2017 | 11 | 2017 |
| Measurement-driven capability modeling for mobile network in large-scale urban environment J Ding, X Liu, Y Li, D Wu, D Jin, S Chen 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems …, 2016 | 11 | 2016 |
| CMBPR: category-aided multi-channel bayesian personalized ranking for short video recommendation X Wang, C Gao, J Ding, Y Li, D Jin IEEE Access 7, 48209-48223, 2019 | 8 | 2019 |
| Knowledge-driven site selection via urban knowledge graph Y Liu, J Ding, Y Li arXiv preprint arXiv:2111.00787, 2021 | 6 | 2021 |
| Characterizing the phenomenon of traffic tide for large-scale mobile cellular data networks J Ding, Y Li, D Jin 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2015 | 6 | 2015 |
| Click versus share: A feature-driven study of micro-video popularity and virality in social media J Ding, Y Li, Y Li, D Jin Proceedings of the 2018 SIAM International Conference on Data Mining, 198-206, 2018 | 5 | 2018 |
| Developing knowledge graph based system for urban computing Y Liu, J Ding, Y Li Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial …, 2022 | 3 | 2022 |
| PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation D Lin, S Sun, J Ding, X Ke, H Gu, X Huang, C Song, X Zhang, L Yi, J Wen, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| Beyond the click: a first look at the role of a microblogging platform in the web ecosystem J Ding, Z Liu, S Xiao, Y Chen, Y Li, D Jin, S Uhlig IEEE Transactions on Network and Service Management 16 (2), 743-754, 2018 | 3 | 2018 |
| Activity Trajectory Generation via Modeling Spatiotemporal Dynamics Y Yuan, J Ding, H Wang, D Jin, Y Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| Deviations of check-ins and human mobility trajectory X Wang, J Ding, S Uhlig, Y Li, D Jin 2019 5th International Conference on Big Data Computing and Communications …, 2019 | 2 | 2019 |
Yong LiAssociate Professor, Electronic Engineering, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
