Jingtao Ding
Jingtao Ding
Tsinghua University
Verified email at
Cited by
Cited by
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
Reinforced Negative Sampling for Recommendation with Exposure Data.
J Ding, Y Quan, X He, Y Li, D Jin
IJCAI, 2230-2236, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
arXiv preprint arXiv:2312.11970, 2023
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20