Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou
Knowledge and Information Systems 64 (12), 3197-3234, 2022
397 2022 Explicit inductive bias for transfer learning with convolutional networks LI Xuhong, Y Grandvalet, F Davoine
International conference on machine learning, 2825-2834, 2018
397 2018 From distributed machine learning to federated learning: A survey J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou
Knowledge and Information Systems 64 (4), 885-917, 2022
302 2022 Transfer learning in computer vision tasks: Remember where you come from X Li, Y Grandvalet, F Davoine, J Cheng, Y Cui, H Zhang, S Belongie, ...
Image and Vision Computing 93, 103853, 2020
114 2020 A baseline regularization scheme for transfer learning with convolutional neural networks X Li, Y Grandvalet, F Davoine
Pattern Recognition 98, 107049, 2020
66 2020 G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou
Artificial intelligence 314, 103823, 2023
40 2023 Cross-task transfer for geotagged audiovisual aerial scene recognition D Hu, X Li, L Mou, P Jin, D Chen, L Jing, X Zhu, D Dou
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
38 * 2020 Explaining information flow inside vision transformers using markov chain T Yuan, X Li, H Xiong, H Cao, D Dou
eXplainable AI approaches for debugging and diagnosis., 2021
31 2021 Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning N Wang, J Bian, Y Li, X Li, S Mumtaz, L Kong, H Xiong
Nature Machine Intelligence 6 (5), 548-557, 2024
29 2024 Muscle: Multi-task self-supervised continual learning to pre-train deep models for x-ray images of multiple body parts W Liao, H Xiong, Q Wang, Y Mo, X Li, Y Liu, Z Chen, S Huang, D Dou
International Conference on Medical Image Computing and Computer-Assisted …, 2022
29 2022 When search engine services meet large language models: visions and challenges H Xiong, J Bian, Y Li, X Li, M Du, S Wang, D Yin, S Helal
IEEE Transactions on Services Computing, 2024
28 2024 Humaneval-xl: A multilingual code generation benchmark for cross-lingual natural language generalization Q Peng, Y Chai, X Li
arXiv preprint arXiv:2402.16694, 2024
23 2024 X Li, M Du, J Chen, Y Chai, H Lakkaraju, H Xiong
Advances in Neural Information Processing Systems 36, 1630-1643, 2023
18 * 2023 Beyond Intuition: Rethinking Token Attributions inside Transformers J Chen, X Li, L Yu, D Dou, H Xiong
Transactions on Machine Learning Research, 2023
15 2023 InterpretDL: Explaining Deep Models in PaddlePaddle X Li, H Xiong, X Li, X Wu, Z Chen, D Dou
Journal of Machine Learning Research 23 (197), 1-6, 2022
15 2022 Interpretable machine learning for weather and climate prediction: A review R Yang, J Hu, Z Li, J Mu, T Yu, J Xia, X Li, A Dasgupta, H Xiong
Atmospheric Environment, 120797, 2024
13 2024 Feynman : Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps RecommendationJ Bian, J Huang, S Ji, Y Liao, X Li, Q Wang, J Zhou, D Dou, Y Wang, ...
IEEE Transactions on Services Computing 16 (5), 3361-3372, 2023
12 2023 Representation transfer by optimal transport X Li, Y Grandvalet, R Flamary, N Courty, D Dou
arXiv preprint arXiv:2007.06737, 2020
11 2020 Cross-model consensus of explanations and beyond for image classification models: An empirical study X Li, H Xiong, S Huang, S Ji, D Dou
Machine Learning 112 (5), 1627-1662, 2023
10 2023 Towards explainable artificial intelligence (XAI): A data mining perspective H Xiong, X Li, X Zhang, J Chen, X Sun, Y Li, Z Sun, M Du
arXiv preprint arXiv:2401.04374, 2024
8 2024 
Haoyi XiongMicrosoftПотвърден имейл адрес: microsoft.com