| Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Nature Machine Intelligence 3 (3), 199-217, 2021 | 987 | 2021 |
| Message-aware graph attention networks for large-scale multi-robot path planning Q Li, W Lin, Z Liu, A Prorok IEEE Robotics and Automation Letters 6 (3), 5533-5540, 2021 | 164 | 2021 |
| Multimodal deep learning framework for mental disorder recognition Z Zhang, W Lin, M Liu, M Mahmoud 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 80 | 2020 |
| Retrieval augmented visual question answering with outside knowledge W Lin, B Byrne arXiv preprint arXiv:2210.03809, 2022 | 63 | 2022 |
| Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking W Lin, BH Tseng, B Byrne Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 52 | 2021 |
| Fine-grained late-interaction multi-modal retrieval for retrieval augmented visual question answering W Lin, J Chen, J Mei, A Coca, B Byrne Advances in Neural Information Processing Systems 36, 22820-22840, 2023 | 40 | 2023 |
| Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... arXiv preprint arXiv:2008.06388, 2020 | 25 | 2020 |
| Looking at the body: Automatic analysis of body gestures and self-adaptors in psychological distress W Lin, I Orton, Q Li, G Pavarini, M Mahmoud IEEE Transactions on Affective Computing 14 (2), 1175-1187, 2021 | 20 | 2021 |
| Author2vec: A framework for generating user embedding X Wu, W Lin, Z Wang, E Rastorgueva arXiv preprint arXiv:2003.11627, 2020 | 18 | 2020 |
| Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding G Yang, J Chen, W Lin, B Byrne arXiv preprint arXiv:2311.08380, 2023 | 14 | 2023 |
| PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers W Lin, J Mei, J Chen, B Byrne arXiv preprint arXiv:2402.08327, 2024 | 12 | 2024 |
| Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging K Ji, W Lin, Y Sun, LS Cui, J Shamsi, YH Chiang, J Chen, EM Tennyson, ... Nature Machine Intelligence 5 (11), 1225-1235, 2023 | 10 | 2023 |
| An inner table retriever for robust table question answering W Lin, R Blloshmi, B Byrne, A de Gispert, G Iglesias Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 10 | 2023 |
| FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering W Lin, Z Wang, B Byrne arXiv preprint arXiv:2303.10699, 2023 | 7 | 2023 |
| Automatic detection of self-adaptors for psychological distress W Lin, I Orton, M Liu, M Mahmoud 2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020 | 7 | 2020 |
| Transformer-Empowered Content-Aware Collaborative Filtering W Lin, L Shou, M Gong, P Jian, Z Wang, B Byrne, D Jiang arXiv preprint arXiv:2204.00849, 2022 | 6 | 2022 |
| Adria de Gispert, and Gonzalo Iglesias. Li-rage: Late interaction retrieval augmented generation with explicit signals for open-domain table question answering W Lin, R Blloshmi, B Byrne Proceedings of the 61st Annual Meeting of the Association for Computational …, 0 | 6 | |
| Li-rage: Late interaction retrieval augmented generation with explicit signals for open-domain table question answering W Lin, R Blloshmi, B Byrne, A de Gispert, G Iglesias Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 5 | 2023 |
| Improving hateful memes detection via learning hatefulness-aware embedding space through retrieval-guided contrastive learning J Mei, J Chen, W Lin, B Byrne, M Tomalin arXiv preprint arXiv:2311.08110, 2023 | 4 | 2023 |
| No, you’re not alone: A better way to find people with similar experiences on Reddit Z Wang, E Rastorgueva, W Lin, X Wu Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019 | 4 | 2019 |
Bill ByrneProfessor of Information Engineering, Cambridge University在 eng.cam.ac.uk 的电子邮件经过验证