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Yuanyuan Lin
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2020 – today
- 2024
- [j9]Yuanyuan Lin, Chao Huang, Xi Zhang, Xin Li, Wei Yao:
Accommodation Recommendation on Shared Platforms Considering Bidirectional Selection and Review Mechanisms. Int. J. Artif. Intell. Tools 33(1): 2350051:1-2350051:25 (2024) - [j8]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. J. Mach. Learn. Res. 25: 88:1-88:75 (2024) - [j7]Shanshan Song, Yuanyuan Lin, Yong Zhou:
Semi-supervised Inference for Block-wise Missing Data without Imputation. J. Mach. Learn. Res. 25: 99:1-99:36 (2024) - [j6]Yaocong Hu, Yuanyuan Lin, Huicheng Yang, Bingyou Liu, Guoyang Wan, Jinwen Hong, Chao Xie, Wei Wang, Xiaobo Lu:
CLDE-Net: crowd localization and density estimation based on CNN and transformer network. Multim. Syst. 30(3): 120 (2024) - [c9]Jinzhuang Shi, Hui Li, Yuanyuan Lin, Linhai Jing, Kongwen Zhang:
Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery. IGARSS 2024: 5231-5234 - [i9]Zhuojun Quan, Yuanyuan Lin, Kani Chen, Wen Yu:
Efficient semi-supervised inference for logistic regression under case-control studies. CoRR abs/2402.15365 (2024) - [i8]Ruijian Han, Lan Luo, Yuanhang Luo, Yuanyuan Lin, Jian Huang:
Adaptive debiased SGD in high-dimensional GLMs with streaming data. CoRR abs/2405.18284 (2024) - [i7]Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu:
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework. CoRR abs/2406.04598 (2024) - 2023
- [j5]Meiling Hao, Yuanyuan Lin, Guohao Shen, Wen Su:
Nonparametric inference on smoothed quantile regression process. Comput. Stat. Data Anal. 179: 107645 (2023) - [j4]Yuanyuan Lin, Chao Huang, Wei Yao, Yifei Shao:
Personalised attraction recommendation for enhancing topic diversity and accuracy. J. Inf. Sci. 49(2): 302-318 (2023) - [j3]Xin Wang, Shufen Zhang, Yuanyuan Lin, Yanxia Lyu, Jiale Zhang:
Pixel attention convolutional network for image super-resolution. Neural Comput. Appl. 35(11): 8589-8599 (2023) - [c8]Wenting Li, Huicheng Yang, Yaocong Hu, Yuanyuan Lin, Zhen Shuai:
Real-time road scene segmentation based on knowledge distillation. EITCE 2023: 429-433 - [c7]Yuanyuan Lin, Huicheng Yang, Yaocong Hu, Zhen Shuai, Wenting Li:
Crowd counting in congested scene by CNN and Transformer: Crowd counting for converged networks. EITCE 2023: 1092-1095 - [c6]Xiaowei Zhang, Wentao Dong, Yuanyuan Lin, Wei Cui, Zining Kong, Yucai Dong:
Assessment of Armor Detachment Operational Capability Based on Comprehensive Assessment Algorithms. ICMLCA 2023: 996-1001 - [c5]Wentao Dong, Xiaowei Zhang, Zining Kong, Shitai Zhang, Yuanyuan Lin, Yucai Dong:
Funding Budget Optimization Model Based on Ant Colony Algorithm. IoTAAI 2023: 115-119 - [c4]Xinyue Bao, Zili Zhou, Shiliang Gao, Zhaoan Dong, Yuanyuan Lin:
Multi-display Graph Attention Network for Text Classification. KSEM (3) 2023: 78-93 - [i6]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression. CoRR abs/2305.00608 (2023) - [i5]Shanshan Song, Tong Wang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Wasserstein Generative Regression. CoRR abs/2306.15163 (2023) - 2022
- [c3]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Approximation with CNNs in Sobolev Space: with Applications to Classification. NeurIPS 2022 - [i4]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang:
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. CoRR abs/2207.10442 (2022) - [i3]Siming Zheng, Yuanyuan Lin, Jian Huang:
Deep Sufficient Representation Learning via Mutual Information. CoRR abs/2207.10772 (2022) - [i2]Wenlu Tang, Guohao Shen, Yuanyuan Lin, Jian Huang:
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. CoRR abs/2210.10161 (2022) - 2021
- [c2]Yuanyuan Lin:
Construction of University Network Ideology Management Platform Based on Information Technology. ICISCAE (ACM) 2021: 78-81 - [i1]Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang:
Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks. CoRR abs/2105.00292 (2021) - 2020
- [j2]Jinhan Xie, Meiling Hao, Wenxin Liu, Yuanyuan Lin:
Fused variable screening for massive imbalanced data. Comput. Stat. Data Anal. 141: 94-108 (2020)
2010 – 2019
- 2016
- [j1]Kani Chen, Yuanyuan Lin, Zhanfeng Wang, Zhiliang Ying:
Least product relative error estimation. J. Multivar. Anal. 144: 91-98 (2016)
2000 – 2009
- 2009
- [c1]Zengjie Cao, Yuanyuan Lin:
The usage of coarse wordage: a study of the mob rule on China's internet. ICIS 2009: 1249-1252
Coauthor Index
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