| SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks C Shi, Z Zhang, Y Ji, W Wang, PS Yu, Z Shi World Wide Web 22, 153-184, 2019 | 53 | 2019 |
| Aspect rating prediction based on heterogeneous network and topic model Y JI, Y LI, C Shi Journal of Computer Applications 37 (11), 3201, 2017 | 29 | 2017 |
| Coupled matrix factorization and topic modeling for aspect mining D Xiao, Y Ji, Y Li, F Zhuang, C Shi Information Processing & Management 54 (6), 861-873, 2018 | 22 | 2018 |
| Dynamic heterogeneous graph embedding via heterogeneous hawkes process Y Ji, T Jia, Y Fang, C Shi Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 19 | 2021 |
| Temporal heterogeneous interaction graph embedding for next-item recommendation Y Ji, MY Yin, Y Fang, H Yang, X Wang, T Jia, C Shi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 18 | 2021 |
| Accelerating large-scale heterogeneous interaction graph embedding learning via importance sampling Y Ji, M Yin, H Yang, J Zhou, VW Zheng, C Shi, Y Fang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (1), 1-23, 2020 | 18 | 2020 |
| Prohibited item detection via risk graph structure learning Y Ji, G Chu, X Wang, C Shi, J Zhao, J Du Proceedings of the ACM Web Conference 2022, 1434-1443, 2022 | 8 | 2022 |
| Deep attention-based neural network for electricity theft detection Y Zhang, Y Ji, D Xiao 2020 IEEE 11th International Conference on Software Engineering and Service …, 2020 | 8 | 2020 |
| Prohibited item detection on heterogeneous risk graphs Y Ji, C Shi, X Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 7 | 2021 |
| Integrating topic model and heterogeneous information network for aspect mining with rating bias Y Ji, C Shi, F Zhuang, PS Yu Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 7 | 2019 |
| A microblog hot topic detection algorithm based on discrete particle swarm optimization H Ma, Y Ji, X Li, R Zhou PRICAI 2016: Trends in Artificial Intelligence: 14th Pacific Rim …, 2016 | 3 | 2016 |
| Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph A Li, Y Ji, G Chu, X Wang, D Li, C Shi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks Y Ji, C Shi, Y Fang World Scientific Annual Review of Artificial Intelligence 1, 2350002, 2023 | 1 | 2023 |
| STCNet: spatial-temporal convolution network for traffic speed prediction M Ma, B Peng, D Xiao, Y Ji, C Shi Advanced Data Mining and Applications: 16th International Conference, ADMA …, 2020 | 1 | 2020 |
| Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation Q Li, H Ma, W Jin, Y Ji, Z Li Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks Y Liu, H Zhang, C Yang, A Li, Y Ji, L Zhang, T Li, J Yang, T Zhao, J Yang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs T Xiang, A Li, Y Ji, D Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks Y Ji, C Shi, Y Fang, X Kong, M Yin Information Processing & Management 57 (6), 102338, 2020 | | 2020 |
| Hot topic discovering algorithm for micro-blog based on discrete particle swarm optimization HF Ma, YG Ji, XH Li, RN Zhou Comput. Eng 42 (3), 208-213, 2013 | | 2013 |
| Accelerating large-scale heterogeneous interaction graph embedding learning via importance sampling.(2021) Y JI, M YIN, H YANG, J ZHOU, VW ZHENG, C SHI, Y FANG ACM Transactions on Knowledge Discovery from Data 15 (1), 1-22, 0 | | |
Chuan ShiBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
