| A multi-task learning framework for product ranking with BERT X Wu, A Magnani, S Chaidaroon, A Puthenputhussery, C Liao, Y Fang Proceedings of the ACM Web Conference 2022, 493-501, 2022 | 24 | 2022 |
| Soft prompt tuning for augmenting dense retrieval with large language models Z Peng*, X Wu*, Q Wang, Y Fang Knowledge-Based Systems 309, 112758, 2025 | 22 | 2025 |
| Energy consumption data based machine anomaly detection H Chen, X Fei, S Wang, X Lu, G Jin, W Li, X Wu 2014 second international conference on advanced cloud and big data, 136-142, 2014 | 18 | 2014 |
| Learning over categorical data using counting features: with an application on click-through rate estimation X Wu, X Gao, W Zhang, R Luo, J Wang Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 7 | 2019 |
| Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models Z Peng*, X Wu*, Q Wang, S Rajanala, Y Fang arXiv preprint arXiv:2404.04522, 2024 | 6 | 2024 |
| Evaluating fairness in large vision-language models across diverse demographic attributes and prompts X Wu, Y Wang, HT Wu, Z Tao, Y Fang arXiv preprint arXiv:2406.17974, 2024 | 5 | 2024 |
| Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers Y Wang, X Wu, HT Wu, Z Tao, Y Fang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 5 | 2024 |
| Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems X Wu*, S Li*, HT Wu, Z Tao, Y Fang Proceedings of the 31st International Conference on Computational …, 2025 | 2 | 2025 |
| Hpe-cogvlm: New head pose grounding task exploration on vision language model Y Tian, T Shao, T Demizu, X Wu, HT Wu arXiv preprint arXiv:2406.01914, 2024 | 2 | 2024 |
| Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models X Wu*, Z Peng*, KSR Sai, HT Wu, Y Fang Proceedings of the Second Workshop on Generative Information Retrieval, 2024 | 2 | 2024 |
| Mathematical Foundation and Corrections for Full Range Head Pose Estimation HC Hu, X Wu, Y Wang, Y Fang, HT Wu arXiv preprint arXiv:2403.18104, 2024 | 1 | 2024 |
| Could Quoting Data Patterns Help in Identifying Journalistic Behavior Online? S Vincent, X Wu, M Huang, Y Fang International Symposium on Online Journalism, 33, 2023 | 1 | 2023 |
| A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics TR Wei, H Liu, X Wu, Y Fang arXiv preprint arXiv:2502.14333, 2025 | | 2025 |
| ChainRank-DPO: Chain Rank Direct Preference Optimization for LLM Rankers H Liu, X Wu, G Sun, Z Tao, Y Fang arXiv preprint arXiv:2412.14405, 2024 | | 2024 |
| CLERF: Contrastive LEaRning for Full Range Head Pose Estimation TR Wei, H Liu, HC Hu, X Wu, Y Fang, HT Wu arXiv preprint arXiv:2412.02066, 2024 | | 2024 |
| Meta Learning to Rank for Sparsely Supervised Queries X Wu, A Puthenputhussery, H Shang, C Kang, Y Fang ACM Transactions on Information Systems. 43 (1), 1-29, 2024 | | 2024 |
| Full-range Head Pose Geometric Data Augmentations HC Hu, X Wu, H Liu, TR Wei, HT Wu arXiv preprint arXiv:2408.01566, 2024 | | 2024 |
Yi FangAssociate Professor, Santa Clara UniversityE-mail megerősítve itt: scu.edu