| Continuous Input Embedding Size Search For Recommender Systems Y Qu, T Chen, X Zhao, L Cui, K Zheng, H Yin Proceedings of the 46rd International ACM SIGIR Conference on Research and …, 2023 | 13 | 2023 |
| Combining human and machine confidence in truthfulness assessment Y Qu, K Roitero, DL Barbera, D Spina, S Mizzaro, G Demartini ACM Journal of Data and Information Quality 15 (1), 1-17, 2022 | 12 | 2022 |
| Budgeted Embedding Table For Recommender Systems Y Qu, T Chen, QVH Nguyen, H Yin The 17th ACM International Conference on Web Search and Data Mining, 2023 | 9 | 2023 |
| Scalable Dynamic Embedding Size Search for Streaming Recommendation Y Qu, L Qu, T Chen, X Zhao, QVH Nguyen, H Yin Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence. Y Qu, K Roitero, S Mizzaro, D Spina, G Demartini Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), 40-49, 2021 | 2 | 2021 |
| Sparser Training for On-Device Recommendation Systems Y Qu, L Qu, T Chen, X Zhao, J Li, H Yin arXiv preprint arXiv:2411.12205, 2024 | | 2024 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandVerified email at uq.edu.au
