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ORCIDLu Fan
Publications
- 2026
[c62]Qijiong Liu
, Jieming Zhu, Zhaocheng Du, Lu Fan, Zhou Zhao, Xiao-Ming Wu:
Learning Multi-aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation. PAKDD (3) 2026: 395-406- [c61]Lu Fan, Qijiong Liu, Zhongzhou Liu, Guoyuan An, Wei Guo, Yong Liu, Xiao-Ming Wu:
Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems. SIGIR 2026: 4566-4571 - [c60]Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu:
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. WSDM 2026: 1195-1199 - [i33]Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu:
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. CoRR abs/2601.19158 (2026) - 2025
- [c53]Qijiong Liu, Lu Fan, Xiao-Ming Wu:
Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. WWW (Companion Volume) 2025: 753-756 - [i29]Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu:
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders. CoRR abs/2503.05493 (2025) - [i27]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
LANID: LLM-assisted New Intent Discovery. CoRR abs/2503.23740 (2025) - 2024
- [c52]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
LANID: LLM-assisted New Intent Discovery. LREC/COLING 2024: 10110-10116 - [c43]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. WWW 2024: 3521-3532 - [i20]Qijiong Liu, Jieming Zhu, Lu Fan, Zhou Zhao, Xiao-Ming Wu:
STORE: Streamlining Semantic Tokenization and Generative Recommendation with A Single LLM. CoRR abs/2409.07276 (2024) - [i16]Qijiong Liu, Lu Fan, Xiao-Ming Wu:
Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. CoRR abs/2412.15973 (2024) - 2023
- [c38]Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu:
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models. CHIL 2023: 117-132 - [c34]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
Neighborhood-based Hard Negative Mining for Sequential Recommendation. SIGIR 2023: 2042-2046 - [i14]Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu:
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark. CoRR abs/2306.06494 (2023) - [i13]Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu:
Neighborhood-based Hard Negative Mining for Sequential Recommendation. CoRR abs/2306.10047 (2023) - [i12]Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Co-evolving Vector Quantization for ID-based Recommendation. CoRR abs/2308.16761 (2023) - 2022
- [j23]Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang:
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128: 108628 (2022) - [c31]Li-Ming Zhan, Haowen Liang, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam:
A Closer Look at Few-Shot Out-of-Distribution Intent Detection. COLING 2022: 451-460 - [c30]Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW 2022: 203-212 - [i7]Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR abs/2202.06081 (2022) - 2021
- [c29]Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam:
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. ACL/IJCNLP (1) 2021: 3521-3532 - [i4]Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam:
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. CoRR abs/2106.08616 (2021) - 2020
- [c26]Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam:
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL 2020: 1050-1060 - [c23]Li-Ming Zhan, Bo Liu, Lu Fan, Jiaxin Chen, Xiao-Ming Wu:
Medical Visual Question Answering via Conditional Reasoning. ACM Multimedia 2020: 2345-2354 - 2019
- [c20]Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam:
Reconstructing Capsule Networks for Zero-shot Intent Classification. EMNLP/IJCNLP (1) 2019: 4798-4808
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