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Qijiong Liu (刘奇煚)
Qijiong Liu (刘奇煚)
在 connect.polyu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Q Liu, N Chen, T Sakai, XM Wu
WSDM'24, 2024
55*2024
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
Q Liu, J Zhu, Q Dai, XM Wu
COLING'22, 2022
242022
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
82023
Weak supervision enhanced generative network for question generation
Y Wang, J Zheng, Q Liu, Z Zhao, J Xiao, Y Zhuang
IJCAI'19, 2019
72019
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation
Q Liu, J Zhu, J Wu, T Wu, Z Dong, XM Wu
WWW'23, 2023
52023
Discrete Semantic Tokenization for Deep CTR Prediction
Q Liu, H Hu, J Wu, J Zhu, MY Kan, XM Wu
WWW'24, 2024
42024
Dataset Condensation for Recommendation
J Wu, W Fan, S Liu, Q Liu, R He, Q Li, K Tang
arXiv preprint arXiv:2310.01038, 2023
42023
Continual Graph Convolutional Network for Text Classification
T Wu*, Q Liu*, Y Cao, Y Huang, XM Wu, J Ding
AAAI'23, 2023
42023
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
H Hu, Q Liu, C Li, MY Kan
ECIR'24, 2024
32024
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
Q Liu*, J Zhu*, Y Yang, Q Dai, Z Du, XM Wu, Z Zhao, R Zhang, Z Dong
KDD'24, 2024
22024
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs
X Zhao, B Liu*, Q Liu*, G Shi*, XM Wu
ACL'24, 2024
22024
Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling
J Wu, W Fan, S Liu, Q Liu, Q Li, K Tang
arXiv preprint arXiv:2309.12723, 2023
22023
Structure-aware Semantic Node Identifiers for Learning on Graphs
Y Luo, Q Liu, L Shi, XM Wu
arXiv preprint arXiv:2405.16435, 2024
12024
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
12024
Benchmarking News Recommendation in the Era of Green AI
Q Liu*, J Zhu*, Q Dai, XM Wu
WWW'24, 2024
12024
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
Q Liu, L Fan*, J Xiao*, J Zhu, XM Wu
WWW'24, 2023
12023
Only Encode Once: Making Content-based News Recommender Greener
Q Liu, J Zhu, Q Dai, XM Wu
arXiv preprint arXiv:2308.14155, 2023
2023
Legommenders: A Modular Framework for Recommender Systems
Q Liu
Online Resource (Github), 2023
2023
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