| 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 | 142* | 2019 |
| Reinforced Negative Sampling for Recommendation with Exposure Data. J Ding, Y Quan, X He, Y Li, D Jin IJCAI, 2230-2236, 2019 | 138 | 2019 |
| 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 | 113 | 2020 |
| 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 | 99 | 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 | 61 | 2015 |
| Urbankg: An urban knowledge graph system Y Liu, J Ding, Y Fu, Y Li ACM Transactions on Intelligent Systems and Technology 14 (4), 1-25, 2023 | 43 | 2023 |
| 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 | 42 | 2019 |
| Large language models empowered agent-based modeling and simulation: A survey and perspectives C Gao, X Lan, N Li, Y Yuan, J Ding, Z Zhou, F Xu, Y Li Humanities and Social Sciences Communications 11 (1), 1-24, 2024 | 40* | 2024 |
| Robust preference-guided denoising for graph based social recommendation Y Quan, J Ding, C Gao, L Yi, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 1097-1108, 2023 | 39 | 2023 |
| 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 | 37 | 2022 |
| Spatio-temporal diffusion point processes Y Yuan, J Ding, C Shao, D Jin, Y Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 36 | 2023 |
| 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 | 33 | 2020 |
| Knowledge-infused contrastive learning for urban imagery-based socioeconomic prediction Y Liu, X Zhang, J Ding, Y Xi, Y Li Proceedings of the ACM Web Conference 2023, 4150-4160, 2023 | 26 | 2023 |
| Hierarchical knowledge graph learning enabled socioeconomic indicator prediction in location-based social network Z Zhou, Y Liu, J Ding, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 122-132, 2023 | 24 | 2023 |
| KnowSite: Leveraging Urban Knowledge Graph for Site Selection Y Liu, J Ding, Y Li Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 23* | 2023 |
| Learning to simulate daily activities via modeling dynamic human needs Y Yuan, H Wang, J Ding, D Jin, Y Li Proceedings of the ACM Web Conference 2023, 906-916, 2023 | 21 | 2023 |
| Unist: a prompt-empowered universal model for urban spatio-temporal prediction Y Yuan, J Ding, J Feng, D Jin, Y Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 20 | 2024 |
| Dvr: Micro-video recommendation optimizing watch-time-gain under duration bias Y Zheng, C Gao, J Ding, L Yi, D Jin, Y Li, M Wang Proceedings of the 30th ACM International Conference on Multimedia, 334-345, 2022 | 20 | 2022 |
| 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 | 17 | 2022 |
| 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 | 17 | 2017 |
Yong LiProfessor, Electronic Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
