Showing results 96 to 115 of 182
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Issue Date | Title | Author(s) |
2021-01-01 | Hierarchical Features Integration and Attention Iteration Network for Juvenile Refractive Power Prediction | Zhang, Y; Higashita, R; Long, G; Li, R; Santo, D; Liu, J |
2022-01-01 | Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision | Li, Y; Long, G; Shen, T; Jiang, J |
2022-01-01 | Identifying the Effective Restriction and Vaccination Policies During the COVID-19 Crisis in Sydney: A Machine Learning Approach | Lee, S; Chen, F; Long, G; Yu, X; Wang, S |
2023-01-01 | Improving Cross-modal Alignment for Text-Guided Image Inpainting | Zhou, Y; Long, G |
2023-01-01 | Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation | Wang, W; Shen, T; Blumenstein, M; Long, G |
2023-01-01 | Improving the Robustness of Summarization Systems with Dual Augmentation | Chen, X; Long, G; Tao, C; Li, M; Gao, X; Zhang, C; Zhang, X |
2017-01-31 | Inferring latent network from cascade data for dynamic social recommendation | Zhang, Q; Wu, J; Zhang, P; Long, G; Tsang, IW; Zhang, C |
2014 | Instance-based and feature-based classification enhancement for short & sparse texts | Long, G |
2019-01-01 | Interactive deep metric learning for healthcare cohort discovery | Wang, Y; Long, G; Peng, X; Clarke, A; Stevenson, R; Gerrard, L |
2020-07-01 | Interpretable Time-series Classification on Few-shot Samples | Tang, W; Liu, L; Long, G |
2023-01-01 | Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning | Tan, Y; Chen, C; Zhuang, W; Dong, X; Lyu, L; Long, G |
2021-01-01 | Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network | Zhang, Y; Higashita, R; Xu, Y; Santo, D; Hu, Y; Long, G; Liu, J |
2019-05-19 | Knowledge Transferring via Model Aggregation for Online Social Care | Ji, S; Long, G; Pan, S; Zhu, T; Jiang, J; Wang, S; Li, X |
2019-01-03 | Learning Graph Embedding with Adversarial Training Methods | Pan, S; Hu, R; Fung, S-F; Long, G; Jiang, J; Zhang, C |
2020 | Learning Graph Embedding with Adversarial Training Methods | Pan, S; Hu, R; Fung, S-F; Long, G; Jiang, J; Zhang, C |
2017-03-01 | Learning multiple diagnosis codes for ICU patients with local disease correlation mining | Wang, S; Li, X; Chang, X; Yao, L; Sheng, QZ; Long, G |
2019-07-16 | Learning Private Neural Language Modeling with Attentive Aggregation | Ji, S; Pan, S; Long, G; Li, X; Jiang, J; Huang, Z |
2018 | Learning Private Neural Language Modeling with Attentive Aggregation | Ji, S; Pan, S; Long, G; Li, X; Jiang, J; Huang, Z |
2022-09-01 | Mechanical and Acoustic Properties of Ceramsite Sound Absorbing Boards with Gradient Structure | Yang, K; Long, G; Tang, Z; Pan, X; Su, W; Xie, Y |
2017-11-06 | MGAE: Marginalized graph autoencoder for graph clustering | Wang, C; Pan, S; Long, G; Zhu, X; Jiang, J |