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2020 – today
- 2025
[j9]Shuang Ni
, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen:
Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. Knowl. Based Syst. 324: 113606 (2025)- [i3]Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes:
Random Forest Autoencoders for Guided Representation Learning. CoRR abs/2502.13257 (2025) - [i2]Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Jinpeng Wang, Zaiyuan Wang, Yang Yang, Lingyue Yin, Mingren Yin, Zhenwei Zhu, Tianle Cai, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Shuang Ni, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xin Zhou, Jose H. Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang:
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. CoRR abs/2508.11987 (2025) - 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) - [c3]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. MLSP 2024: 1-6 - [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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