| 2026 | PAKDD | Learning Multi-aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation. | Qijiong Liu, Jieming Zhu, Zhaocheng Du, Lu Fan, Zhou Zhao, Xiao-Ming Wu |
| 2026 | SIGIR | Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems. | Lu Fan, Qijiong Liu, Zhongzhou Liu, Guoyuan An, Wei Guo, Yong Liu, Xiao-Ming Wu |
| 2026 | WSDM | Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. | Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu |
| 2025 | WWW | Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support. | Qijiong Liu, Lu Fan, Xiao-Ming Wu |
| 2024 | COLING | LANID: LLM-assisted New Intent Discovery. | Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu |
| 2024 | ICASSP | Do Self-Supervised Speech and Language Models Extract Similar Representations as Human Brain? | Peili Chen, Linyang He, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li |
| 2024 | ICASSP | Neural2speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction. | Jiawei Li, Chunxu Guo, Li Fu, Lu Fan, Edward F. Chang, Yuanning Li |
| 2024 | WWW | Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. | Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu |
| 2023 | EMNLP | Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. | Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang |
| 2023 | SIGIR | Neighborhood-based Hard Negative Mining for Sequential Recommendation. | Lu Fan, Jiashu Pu, Rongsheng Zhang, Xiao-Ming Wu |
| 2022 | COLING | A Closer Look at Few-Shot Out-of-Distribution Intent Detection. | Li-Ming Zhan, Haowen Liang, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam |
| 2022 | WWW | Modeling User Behavior with Graph Convolution for Personalized Product Search. | Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang |
| 2021 | ACL | Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. | Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam |
| 2020 | ACL | Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. | Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam |
| 2019 | EMNLP | Reconstructing Capsule Networks for Zero-shot Intent Classification. | Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam |
| 2017 | IM | Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention. | Solomon Ogbomon Uwagbole, William J. Buchanan, Lu Fan |
| 2017 | SEKE | Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. | Gopal Singh Jamnal, Xiaodong Liu, Lu Fan |
| 2016 | NOMS | Numerical encoding to Tame SQL injection attacks. | Solomon Ogbomon Uwagbole, William J. Buchanan, Lu Fan |
| 2015 | HealthCom | Secret shares to protect health records in Cloud-based infrastructures. | William J. Buchanan, Elochukwu Ukwandu, Nicole van Deursen, Lu Fan, Gordon Russell, Owen Lo, Christoph Thuemmler |
| 2015 | TrustCom | RESCUE: Resilient Secret Sharing Cloud-Based Architecture. | Elochukwu Ukwandu, William J. Buchanan, Lu Fan, Gordon Russell, Owen Lo |
| 2012 | JURIX | Computational data protection law: trusting each other offline and online. | William J. Buchanan, Lu Fan, Alistair Lawson, Burkhard Schafer, Russel Scott, Christoph Thuemmler, Omair Uthmani |
| 2011 | CloudCom | An Integrated Cloud-based Healthcare Infrastructure. | Elias Ekonomou, Lu Fan, William J. Buchanan, Christoph Thmmler |
| 2010 | JURIX | Interagency data exchange protocols as computational data protection law. | William J. Buchanan, Lu Fan, Alistair Lawson, Burkhard Schafer, Russel Scott, Christoph Thuemmler, Omair Uthmani |