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Hengchang Hu
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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
152023
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
72023
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
72022
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
42023
Khanq: A dataset for generating deep questions in education
H Gong, L Pan, H Hu
Proceedings of the 29th International Conference on Computational …, 2022
42022
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
32022
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
22024
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems
C Li, H Hu, Y Zhang, MY Kan, H Li
22023
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
12024
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
12023
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
2024
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