| Adaptive multi-modalities fusion in sequential recommendation systems H Hu, W Guo, Y Liu, MY Kan Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 26 | 2023 |
| Do we really need graph neural networks for traffic forecasting? X Liu, Y Liang, C Huang, H Hu, Y Cao, B Hooi, R Zimmermann arXiv preprint arXiv:2301.12603, 2023 | 24 | 2023 |
| Khanq: A dataset for generating deep questions in education H Gong, L Pan, H Hu Proceedings of the 29th international conference on computational …, 2022 | 16 | 2022 |
| Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation J Wu, Q Liu, H Hu, W Fan, S Liu, Q Li, XM Wu, K Tang arXiv preprint arXiv:2310.09874, 2023 | 13 | 2023 |
| Discrete Semantic Tokenization for Deep CTR Prediction Q Liu, H Hu, J Wu, J Zhu, MY Kan, XM Wu Proceedings of the ACM Web Conference 2024, 2024 | 10 | 2024 |
| PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. Y Ran, H Hu, MY Kan Proceedings of the 16th ACM Conference on Recommender Systems, MORS Workshop, 2022 | 9 | 2022 |
| Vector Quantization for Recommender Systems: A Review and Outlook Q Liu, X Dong, J Xiao, N Chen, H Hu, J Zhu, C Zhu, T Sakai, XM Wu arXiv preprint arXiv:2405.03110, 2024 | 8 | 2024 |
| A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems C Li, H Hu, Y Zhang, MY Kan, H Li | 8 | 2023 |
| Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems C Li, Y Deng, H Hu, MY Kan, H Li arXiv preprint arXiv:2405.01868, 2024 | 7 | 2024 |
| Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision H Hu, Q Liu, C Li, MY Kan Proceedings of the 46th European Conference on Information Retrieval, 2024 | 4 | 2024 |
| Modeling and Leveraging Prerequisite Context in Recommendation H Hu, L Pan, Y Ran, MY Kan Proceedings of the 16th ACM Conference on Recommender Systems, Context-Aware …, 2022 | 4 | 2022 |
| User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation H Hu, W Guo, X Liu, Y Liu, R Tang, R Zhang, MY Kan WSDM 2024, 2024 | 2 | 2024 |
| Automatic Feature Fairness in Recommendation via Adversaries H Hu, Y Cao, Z He, S Tan, MY Kan Proceedings of the International ACM SIGIR Conference on Information …, 2023 | 2 | 2023 |
| Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency X Liu, Y Liang, C Huang, H Hu, Y Cao, B Hooi, R Zimmermann Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
Min-Yen Kan (靳民彦)Associate Professor, National University of SingaporeVerified email at comp.nus.edu.sg