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Shuang Ni
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2020 – today
- 2024
- [j8]Qifeng Lin, Xiaoxin Guo, Bo Feng, Juntong Guo, Shuang Ni, Hongliang Dong:
A novel multi-task learning network for skin lesion classification based on multi-modal clues and label-level fusion. Comput. Biol. Medicine 175: 108549 (2024) - [i1]Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes:
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. CoRR abs/2406.04421 (2024) - 2023
- [j7]Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao:
Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. 60(3): 103331 (2023) - [j6]Zhengran Shen, Xiaoxin Guo, Bo Feng, Hangyuan Cheng, Shuang Ni, Hongliang Dong:
Adversarial learning based residual variational graph normalized autoencoder for network representation. Inf. Sci. 640: 119055 (2023) - [j5]Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni:
Multi-perspective enhanced representation for effective session-based recommendation. Knowl. Based Syst. 263: 110284 (2023) - [j4]Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen:
Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. 277: 110825 (2023) - 2022
- [j3]Gang Li, Jun Cai, Shuang Ni:
Truthful Deep Mechanism Design for Revenue-Maximization in Edge Computing With Budget Constraints. IEEE Trans. Veh. Technol. 71(1): 902-914 (2022) - 2021
- [j2]Shuang Ni, Junyu Liu, Min Sheng, Jiandong Li, Xiaona Zhao:
Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network. Sci. China Inf. Sci. 64(8) (2021) - [c2]Honghui Shang, Fang Li, Yunquan Zhang, Ying Liu, Libo Zhang, Mingchuan Wu, Yangjun Wu, Di Wei, Huimin Cui, Xin Liu, Fei Wang, Yuxi Ye, Yingxiang Gao, Shuang Ni, Xin Chen, Dexun Chen:
Accelerating all-electron ab initio simulation of raman spectra for biological systems. SC 2021: 41 - 2020
- [j1]Shuang Ni, Yan Lei, Yongchuan Tang:
Improved Base Belief Function-Based Conflict Data Fusion Approach Considering Belief Entropy in the Evidence Theory. Entropy 22(8): 801 (2020) - [c1]Xiaona Zhao, Junyu Liu, Min Sheng, Jiandong Li, Shuang Ni:
Towards Effective Tradeoff Between Content Caching and Retrieving in Dense Small Cell Network. ICC 2020: 1-6
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last updated on 2024-07-15 01:02 CEST by the dblp team
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