Xiao-Ming Wu
Orcid: 0000-0002-3130-0554Affiliations:
- Hong Kong Polytechnic University, Department of Computing, Hong Kong
According to our database1,
Xiao-Ming Wu
authored at least 67 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability.
CoRR, 2024
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning.
IEEE Trans. Medical Imaging, May, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.
CoRR, 2023
CoRR, 2023
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation.
IEEE Trans. Netw. Sci. Eng., 2022
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.
Pattern Recognit., 2022
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement.
CoRR, 2022
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
RPC: Representative possible world based consistent clustering algorithm for uncertain data.
Comput. Commun., 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning.
CoRR, 2019
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2016
PhD thesis, 2016
2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012