Exploring communities in large profiled graphs Y Chen, Y Fang, R Cheng, Y Li, X Chen, J Zhang IEEE Transactions on Knowledge and Data Engineering 31 (8), 1624-1629, 2018 | 37 | 2018 |
Task aligned generative meta-learning for zero-shot learning Z Liu, Y Li, L Yao, X Wang, G Long Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8723-8731, 2021 | 34 | 2021 |
On spatial pattern matching Y Fang, R Cheng, G Cong, N Mamoulis, Y Li 2018 IEEE 34th International Conference on Data Engineering (ICDE), 293-304, 2018 | 29 | 2018 |
Attribute-modulated generative meta learning for zero-shot learning Y Li, Z Liu, L Yao, X Chang IEEE Transactions on Multimedia 25, 1600-1610, 2021 | 22 | 2021 |
Generative adversarial U-Net for domain-free medical image augmentation X Chen, Y Li, L Yao, E Adeli, Y Zhang arXiv preprint arXiv:2101.04793, 2021 | 20 | 2021 |
An entropy-guided reinforced partial convolutional network for zero-shot learning Y Li, Z Liu, L Yao, X Wang, J McAuley, X Chang IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5175-5186, 2022 | 17 | 2022 |
Generative adversarial u-net for domain-free few-shot medical diagnosis X Chen, Y Li, L Yao, E Adeli, Y Zhang, X Wang Pattern Recognition Letters 157, 112-118, 2022 | 15 | 2022 |
Agglomerative neural networks for multiview clustering Z Liu, Y Li, L Yao, X Wang, F Nie IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2842-2852, 2021 | 14 | 2021 |
Utilizing recurrent neural network for topic discovery in short text scenarios HY Lu, N Kang, Y Li, QY Zhan, JY Xie, CJ Wang Intelligent data analysis 23 (2), 259-277, 2019 | 12 | 2019 |
Rethink, revisit, revise: A spiral reinforced self-revised network for zero-shot learning Z Liu, Y Li, L Yao, J McAuley, S Dixon IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
Spatial pattern matching: A new direction for finding spatial objects Y Li, Y Fang, R Cheng, W Zhang SIGSPATIAL Special 11 (1), 3-12, 2019 | 9 | 2019 |
Evaluating pattern matching queries for spatial databases Y Fang, Y Li, R Cheng, N Mamoulis, G Cong The VLDB Journal 28, 649-673, 2019 | 8 | 2019 |
Disentangled and side-aware unsupervised domain adaptation for cross-dataset subjective tinnitus diagnosis Y Li, Z Liu, L Yao, JJM Monaghan, D McAlpine IEEE Journal of Biomedical and Health Informatics 27 (1), 538-549, 2022 | 7 | 2022 |
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding Z Liu, X Wang, Y Li, L Yao, J An, L Bai, EP Lim Knowledge-Based Systems 235, 107665, 2022 | 7 | 2022 |
Exploiting global semantic similarity biterms for short-text topic discovery HY Lu, GJ Ge, Y Li, CJ Wang, JY Xie 2018 IEEE 30th international conference on tools with artificial …, 2018 | 5 | 2018 |
Diversity-boosted generalization-specialization balancing for zero-shot learning Y Li, Z Liu, X Chang, J McAuley, L Yao IEEE Transactions on Multimedia, 2023 | 4 | 2023 |
Distilled reverse attention network for open-world compositional zero-shot learning Y Li, Z Liu, S Jha, L Yao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
Side-aware meta-learning for cross-dataset listener diagnosis with subjective tinnitus Z Liu, Y Li, L Yao, M Lucas, JJM Monaghan, Y Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 2352-2361, 2022 | 4 | 2022 |
Simple primitives with feasibility-and contextuality-dependence for open-world compositional zero-shot learning Z Liu, Y Li, L Yao, X Chang, W Fang, X Wu, A El Saddik IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
Non-local self-attentive autoencoder for genetic functionality prediction Y Li, Z Liu, L Yao, Z He Proceedings of the 29th ACM International Conference on Information …, 2020 | 3 | 2020 |