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ORCIDHaoran Chen 0004
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- Haoran Chen — disambiguation page
- Haoran Chen 0001
![[0000-0002-9851-9606]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9851-9606")
- Haoran Chen 0002
- Haoran Chen 0003 — Fudan University, Shanghai, China
- Haoran Chen 0005
- Haoran Chen 0006
- Haoran Chen 0007
- Haoran Chen 0008
- Haoran Chen 0009
- Haoran Chen 0010
- Haoran Chen 0011
- Haoran Chen 0012
- Haoran Chen 0013
- Haoran Chen 0014
- Haoran Chen 0015
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2020 – today
- 2026
[j16]Haoran Chen, Jiapeng Liu, Zuhe Li, Yushan Pan, Hongwei Tao, Huaiguang Wu, Yunyang Wang, Chenguang Yang:
CR-GAC: Cross-modal Recombination via Graph-Attention Collaborative Optimization for multimodal sentiment analysis. Expert Syst. Appl. 298: 129805 (2026)- 2025
- [j15]Zuhe Li, Panbo Liu, Yushan Pan, Jun Yu, Weihua Liu, Haoran Chen, Yiming Luo, Hao Wang:
Text-dominant multimodal perception network for sentiment analysis based on cross-modal semantic enhancements. Appl. Intell. 55(2): 188 (2025) - [j14]Haoran Chen, Jiafan Wang, Hongwei Tao, Yinghui Hu, Yanan Du:
A food safety traceability system based on trusted double chain. Int. J. Comput. Sci. Eng. 28(1): 114-125 (2025) - [j13]Zuhe Li, Panbo Liu, Yushan Pan, Weiping Ding, Jun Yu, Haoran Chen, Weihua Liu, Yiming Luo, Hao Wang:
Multimodal sentiment analysis based on disentangled representation learning and cross-modal-context association mining. Neurocomputing 617: 128940 (2025) - [j12]Haoran Chen, Kai Wu, Huaiguang Wu, Jiafan Wang, Hongwei Tao, Zuhe Li, Xiao Wang:
Research and application of two-dimensional partial least squares regression with manifold optimization-based Gaussian filter. J. Electronic Imaging 34(1) (2025) - [j11]Zuhe Li, Zhenwei Huang, Xiaojiang He, Jun Yu, Haoran Chen, Chenguang Yang, Yushan Pan:
Representation distribution matching and dynamic routing interaction for multimodal sentiment analysis. Knowl. Based Syst. 316: 113376 (2025) - [j10]Haoran Chen, Kai Wu, Wenjun Song, Hongwei Tao, Zuhe Li, Xiao Li, Yanan Du:
Two-dimensional PLSR with manifold optimization based CNN for image classification. Int. J. Mach. Learn. Cybern. 16(9): 5689-5705 (2025) - [j9]Xiao Li, Kai Wu, Haoran Chen, Wenjun Song, Hongwei Tao, Zuhe Li, Yanan Du:
Deep residual PLSR model with manifold optimization and Gaussian filter for enhanced image classification. Vis. Comput. 41(8): 6087-6102 (2025) - [i4]Haoran Chen, Jiapeng Liu, Jiafan Wang, Wenjun Shi:
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization. CoRR abs/2504.16639 (2025) - 2024
- [j8]Zuhe Li, Zhenwei Huang, Yushan Pan, Jun Yu, Weihua Liu, Haoran Chen, Yiming Luo, Di Wu, Hao Wang:
Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis. Expert Syst. Appl. 252: 124236 (2024) - [j7]Haoran Chen, Xu Chen, Hongwei Tao, Zuhe Li, Boyue Wang:
PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering. Pattern Recognit. 149: 110198 (2024) - 2023
- [j6]Xiao Wang, Lijun Han, Rong Wang, Haoran Chen:
DaDL-SChlo: protein subchloroplast localization prediction based on generative adversarial networks and pre-trained protein language model. Briefings Bioinform. 24(3) (2023) - [j5]Zuhe Li, Qingbing Guo, Yushan Pan, Weiping Ding, Jun Yu, Yazhou Zhang, Weihua Liu, Haoran Chen, Hao Wang, Ying Xie:
Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis. Inf. Fusion 99: 101891 (2023) - [j4]Haoran Chen, Xu Chen, Hongwei Tao, Zuhe Li, Xiao Wang:
Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering. ACM Trans. Knowl. Discov. Data 17(9): 128:1-128:18 (2023)
2010 – 2019
- 2019
- [j3]Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, Baocai Yin:
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. ACM Trans. Knowl. Discov. Data 13(4): 39:1-39:17 (2019) - [j2]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Trans. Neural Networks Learn. Syst. 30(2): 588-600 (2019) - 2018
- [j1]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. Neurocomputing 291: 59-70 (2018) - 2017
- [c2]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju:
L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA 2017: 1-7 - [c1]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. IJCAI 2017: 2893-2900 - [i3]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. CoRR abs/1704.08458 (2017) - 2016
- [i2]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. CoRR abs/1609.06434 (2016) - 2015
- [i1]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu:
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. CoRR abs/1512.01927 (2015)
Coauthor Index
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