| Foundation models for recommender systems: A survey and new perspectives C Huang, T Yu, K Xie, S Zhang, L Yao, J McAuley arXiv preprint arXiv:2402.11143, 2024 | 18 | 2024 |
| Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval C Huang, X Luo, J Zhang, Q Liao, X Wang, ZL Jiang, S Qi Information Processing & Management 57 (2), 102165, 2020 | 11 | 2020 |
| Dual contrastive transformer for hierarchical preference modeling in sequential recommendation C Huang, S Wang, X Wang, L Yao Proceedings of the 46th international acm sigir conference on research and …, 2023 | 9 | 2023 |
| Semi-online knowledge distillation Z Liu, Y Liu, C Huang arXiv preprint arXiv:2111.11747, 2021 | 9 | 2021 |
| Modeling temporal positive and negative excitation for sequential recommendation C Huang, S Wang, X Wang, L Yao Proceedings of the ACM Web Conference 2023, 1252-1263, 2023 | 8 | 2023 |
| Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval Y Li, X Wang, S Qi, C Huang, ZL Jiang, Q Liao, J Guan, J Zhang Signal, Image and Video Processing 15, 673-680, 2021 | 8 | 2021 |
| Contrastive counterfactual learning for causality-aware interpretable recommender systems G Zhou, C Huang, X Chen, X Xu, C Wang, L Zhu, L Yao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 6 | 2023 |
| Federated large language models: Current progress and future directions Y Yao, J Zhang, J Wu, C Huang, Y Xia, T Yu, R Zhang, S Kim, R Rossi, ... arXiv preprint arXiv:2409.15723, 2024 | 3 | 2024 |
| Autoencoder-based self-supervised hashing for cross-modal retrieval Y Li, X Wang, L Cui, J Zhang, C Huang, X Luo, S Qi Multimedia Tools and Applications 80, 17257-17274, 2021 | 3 | 2021 |
| Improved knowledge distillation via adversarial collaboration Z Liu, C Huang, Y Liu arXiv preprint arXiv:2111.14356, 2021 | 2 | 2021 |
| Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models C Huang, Y Xia, R Wang, K Xie, T Yu, J McAuley, L Yao Proceedings of the 31st International Conference on Computational …, 2025 | 1 | 2025 |
| Dual Conditional Diffusion Models for Sequential Recommendation H Huang, C Huang, X Chang, W Hu, L Yao arXiv preprint arXiv:2410.21967, 2024 | 1 | 2024 |
| Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach C Huang, R Wang, K Xie, T Yu, L Yao arXiv preprint arXiv:2404.03514, 2024 | 1 | 2024 |
| Boosting fine-tuning via Conditional Online Knowledge Transfer Z Liu, Y Li, C Huang, KT Luo, Y Liu Neural Networks 169, 325-333, 2024 | | 2024 |
Lina YaoScience Lead at CSIRO Data61 & Professor at University of New South Wales, AustraliaE-mail megerősítve itt: csiro.au