Shuang Ni

According to our database, Shuang Ni authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A novel multi-task learning network for skin lesion classification based on multi-modal clues and label-level fusion.

Qifeng Lin, Xiaoxin Guo, Bo Feng, Juntong Guo, Shuang Ni, Hongliang Dong

Comput. Biol. Medicine, 2024

Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.

Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023

Enhanced contrastive learning with multi-aspect information for recommender systems.

Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen

Knowl. Based Syst., October, 2023

Adversarial learning based residual variational graph normalized autoencoder for network representation.

Zhengran Shen, Xiaoxin Guo, Bo Feng, Hangyuan Cheng, Shuang Ni, Hongliang Dong

Inf. Sci., September, 2023

Enhancing sequential recommendation with contrastive Generative Adversarial Network.

Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao

Inf. Process. Manag., May, 2023

Multi-perspective enhanced representation for effective session-based recommendation.

Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni

Knowl. Based Syst., March, 2023

2022

Truthful Deep Mechanism Design for Revenue-Maximization in Edge Computing With Budget Constraints.

Gang Li, Jun Cai, Shuang Ni

IEEE Trans. Veh. Technol., 2022

2021

Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network.

Shuang Ni, Junyu Liu, Min Sheng, Jiandong Li, Xiaona Zhao

Sci. China Inf. Sci., 2021

Accelerating all-electron <i>ab initio</i> simulation of raman spectra for biological systems.

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

Proceedings of the International Conference for High Performance Computing, 2021

2020

Improved Base Belief Function-Based Conflict Data Fusion Approach Considering Belief Entropy in the Evidence Theory.

Shuang Ni, Yan Lei, Yongchuan Tang

Entropy, 2020

Towards Effective Tradeoff Between Content Caching and Retrieving in Dense Small Cell Network.

Xiaona Zhao, Junyu Liu, Min Sheng, Jiandong Li, Shuang Ni

Proceedings of the 2020 IEEE International Conference on Communications, 2020